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Post-COVID-19 Household Food Insecurity in Jamaica

DOI: 10.31038/NRFSJ.2023611

Abstract

Objective: The dual burden of the COVID-19 pandemic and the Ukraine-Russia conflict has weakened food systems globally, leaving several populations at risk of hunger. Developing countries like Jamaica are particularly vulnerable to the economic shocks of these events. It is therefore critical to broaden our understanding of food security and the analytic framework necessary to effect sustainable change. This study assessed household food security in Jamaica after COVID-19 and amid inflation.

Methods: Households in high and low-income communities across all 14 parishes in Jamaica were randomly sampled to participate in this survey which assessed household food security status post-COVID-19.

Key Findings: The results of this study highlighted that: 1) there were notable decreases in the consumption of all food types across households; 2) inadequate dietary quality was reported by 54% of households; and 3) some form of hunger was reported by 67% of households in this study, with the majority reporting moderate-severe hunger.

Discussion and Conclusion: This study gives a timely reminder of the fragility of the food system in Jamaica and similar countries in the developing world. As countries aim to recover and regain stability, households remain at risk, and the situation on the ground may worsen; therefore, the findings of this study may be modest. As such, food security should be an integral part of the policy framework to address immediate needs and the imperatives for long-term resilience.

Keywords

COVID-19, Ukraine-Russia conflict, Inflation, Food security, Nutrition, Policy, Jamaica

Introduction

Previous studies on recent social crises in Jamaica emphasized the need to address the underlying social inequities that exist [1]. This study explores the impact of crises on the dynamics of nutrition and food security. The Food and Agricultural Organization of the United Nations (FAO) states that food security exists “when all people, at all times, have physical, social and economic access to sufficient, safe and nutritious food that meets their dietary needs and food preferences for an active and healthy life” [2]. Food security is, therefore, dependent on the stability of factors that drive availability, physical and financial access, and food utilization. In order to minimize the spread of the SARS-CoV-2 virus and the associated health and economic impacts of COVID-19, governments worldwide imposed several essential public health measures [3]. However, these restrictions resulted in the destabilization of the underpinning factors of food security. There were: 1) disruptions to food availability mediated through disruptions in food supply and trade; 2) interruptions to physical access owing to the unavailability of public transportation and the enforcement of social distancing enforcement [4]. Job and income losses, as well as food price increases, affected people’s economic access to food [5].

Economic recovery from COVID-19 has been further strained by the political instability created by the Ukraine-Russia conflict [6,7]. The intricate health-economic nexus that has emerged from the pandemic continues to exacerbate financial susceptibilities worldwide [8]. Like the pandemic-imposed safety measures, the Ukraine-Russia conflict has disrupted food trade and supply. The resulting rationing of food supplies, exorbitant food and fuel prices, rising inflation, and tight bankrolling continue to drive global food insecurity, poverty and food fraud [9,10].

During the pandemic, 40% of households in eight Caribbean countries reported some form of hunger [11]. The Jamaica Health and Lifestyle Survey III (2016-2017) highlighted that more than 70% of the population were food insecure [12]. In 2022, the World Food Programme estimated that 58% of the Jamaican population were moderately-severely food insecure [13]. Due to Jamaica’s heavy reliance on tourism, its economy suffered a severe contraction during the COVID-19 pandemic due to travel restrictions [14]. Although the Government of Jamaica managed to keep the economy relatively stable during and after the pandemic, inflation, steep rises in food and service prices, and higher interest rates harshly affected Jamaican households [15]. The new challenges created by the Ukraine-Russia conflict further limit advances in economic growth and recovery. Like many other countries, what started out as a health crisis quickly progressed into an economic crisis [16]. The intersection of the food supply chain and health systems continues to threaten food and nutrition security [17]. This interconnection can be highlighted by the average Jamaican’s inability to afford healthy, fresh food supplies and essential commodities, especially for the most vulnerable. To stem the spread of food security, monitoring and evaluating the population food security status amidst emerging shocks remains critical. As such, this study sought to evaluate the current state of household food security in Jamaica so that this can be appropriately addressed by decision-makers. This study, therefore, assessed the food security status of households in Jamaica two years after the peak effects of COVID-19.

Methods

This study used a survey instrument to assess the effect of inflation on food security in Jamaican households. Researchers assessed the impact of inflation on food consumption, the status of hunger, the hunger index, and the quality of food consumption among Jamaicans. The random sampling captured high and low socioeconomic strata in the 14 parishes of Jamaica, utilizing available national data. The methods to select high- and low-income areas were based objectively on the size and quality of the homes, vehicles, and other assets in the community. Further, the high- and low-income areas were categorized using key informants in the parish. Thereafter, a random selection of high- and low-income areas was made. One high-income and one low-income area were selected in each parish. Interviews were conducted with the household head or household member who was 18 years or older. The household sampling procedure started in the center of each area selected and randomly extended across the area.

A hunger index was created thus:

No = Never worried about running out of food; never had to skip meals or go without food all day

Mild = Worried about running out of food 1-2 times during the crises or almost weekly

Moderate = Worried about running out of food almost every day; skipped meals 1-2 times during the crises or almost weekly

Severe = Skipped meals almost every day; go without food 1-2 times during the crisis, almost weekly or almost every day

Results

This study interviewed household heads from 572 households across all 14 parishes in Jamaica. The age of the household head ranged from 20 to 91 years, with a mean age of 49 years. Females headed 51.6% of the households. The size of the households ranged from 1 to 12 persons, with a mean of 4. Only 5.3% did not complete primary education, and 30.1% graduated from a tertiary institution. In this study, 33.8% of households were classified as low-income (<J$ 9,000 per week); 40.2% were grouped as middle-income (J$9,000-J$19,375), and 26% were in the high-income group earning more than J$19,376 [1]. Since the COVID-19 pandemic, households have modified the types and amounts of foods consumed.

Figure 1 shows that 33-50% of households decreased their consumption of all food types with meat, fish, vegetables and fruit among the main foods. A much smaller number of households (5-15%) increased food consumption mainly in rice, vegetables, fruits and ground provisions.

fig 1

Figure 1: Change in food consumption by household

Table 1 shows that approximately 33% of households did not have sufficient food to eat either sometimes or often.

Table 1: Access to Sufficient Food by Households in Jamaica

Description

N

%

Always have enough of the kinds of food we want to eat

99

17.4

Have enough but not always the kind of food we want

284

49.8

Do not have enough to eat sometimes

124

21.8

Do not have enough to eat often

63

11.1

Total

570

100.0

Figure 2 shows that 31% of households described their diet quality as “not so good” or poor, whereas 42% described their diet as good or excellent.

fig 2

Figure 2: Quality of meals post-COVID-19 and during inflation

A statistically significant relationship was found between household income and diet quality (Table 2). Higher income households rated their diet quality as good (37.7%) or excellent (16.4%), while low-income households described the quality of their diet as either neutral (28.9%), not so good (28.4%) or poor (10.5%).

Table 2: Household Diet Quality by Income

 

Household Income Bracket (J$)

Total

Quality of Diet

$9,000 or less

$9,001 to $19,375

≥ $19,376

N

%

N

%

N

%

N

%

Excellent

5

2.6

12

5.3

24

16.4

41

7.3

Good

56

29.5

88

38.8

55

37.7

199

35.3

Neutral

55

28.9

56

24.7

38

26.0

149

26.5

Not so good

54

28.4

58

25.6

21

14.4

133

23.6

Poor

20

10.5

13

5.7

8

5.5

41

7.3

Total

190

34.0

227

40.3

146

25.9

563

100.0

X2 (8) =38.886, p<.001

Using the hunger index, responses about hunger status were grouped into categories of no hunger, mild, moderate, and severe hunger. Sixty-seven percent (67%) of households reported some form of hunger, with 55% of those households reporting moderate to severe hunger, as shown in Figure 3.

fig 3

Figure 3: Status of hunger post-COVID-19 and during inflation

A statistically significant relationship was also found between hunger status and income as seen in Table 3. Households with a higher weekly income experienced no hunger (53.4%) compared to middle- and low-income households that were more affected by moderate to severe hunger.

Table 3: Hunger by Household Income in Jamaica

 

Household Income Bracket (J$)

Hunger status

$9,000 or less

$9,001 to $19,375

≥ $19,376

N

%

N

%

N

%

No Hunger

36

19.1

70

31.0

78

53.4

Mild Hunger

22

11.7

28

12.4

19

13.0

Moderate Hunger

91

48.4

103

45.6

42

28.8

Severe Hunger

39

20.7

25

11.1

7

4.8

Total

188

 

226

 

146

 

X2 (6) =55.769, p<.001

Discussion

Less developed countries such as Jamaica need to implement bold policies and innovative solutions to ensure sustainable food and nutrition security, despite the intermittent shocks and crises that are inevitable. The United Nations Department of Economic and Social Affairs highlights Jamaica as a country for priority attention as the world navigates extraordinary health and economic crises [18]. Some of the weaknesses that leave Jamaica vulnerable to several global economic shocks include its: 1) lack of economic diversity, 2) heavy reliance on tourism and disproportionate food import bill, and 3) exorbitantly high public debt in the face of debt service inhibiting growth [14]. Given the high vulnerability to economic instability, the livelihoods of Jamaican households remain under threat, and more Jamaicans remain at risk of becoming food insecure.

The decreased consumption across all food types highlights an important trend and suggests that the ability of Jamaicans to secure food is constrained. This could be due to inconsistencies in supply, mixed with contractions in demand due to the inability to afford food owing to reductions in household income, together with the staggering food costs associated with the country’s net food import [13]. The decreased consumption could also indicate that households are losing their ability to cope through previously applied mechanisms of using up savings and accessing safety nets [11]. It is therefore important to acknowledge the emerging consumption trends as a concern, especially as it relates to low-income households and households with dependent children. Typically, this decrease in staple food items could indicate that households may have increased consumption of nutrient-poor, calorie-dense foods that are cheaper and high in sodium, added sugars and trans-fats. This could have deleterious implications for population health and well-being, specifically as it relates to Non-Communicable Diseases (NCDs) prevention and control, in the near and distant future, even as Jamaica continues to grapple with the overwhelming prevalence of obesity and NCDs [19].

Furthermore, sub-optimal dietary quality increases the risk of nutritional deficiencies and related risks of adverse health outcomes. These challenges could be sustained if the key drivers remain unaddressed. At the same time, the hunger profile of the population is also staggering at 67%. This may indicate that households are skipping meals as they are unable to afford even the cheapest food due to food price inflation as well as limitations on their earnings and therefore buying power.

While there is a consensus that the recent crises will likely increase all forms of malnutrition and undermine economic recovery, it is difficult to assess their actual impact on the economy, population health and food systems. Notwithstanding, it is clear that the food security status of developing nations like Jamaica requires constant monitoring and evaluation from multiple research standpoints to enable effective responses to food and nutrition insecurity during crises and to inform the building of resilient and sustainable food systems. The cost of food in Jamaica increased steadily over the last year, which was 14.24 in November 2022, over the same month in the previous year [20]. This price rise is evident from the Jamaica Food Inflation data by Trading Economics, that is, from 9.85 in January 2022 to 14.24 in November 2022 [20]. As Jamaica tries to advance its development goals in alignment with the Sustainable Development Goals 2030, its leaders should prioritize actions that will strengthen food security and contain food inflation. These can include investing in shock-resilient community-based agriculture to support domestic food demand, reduce food imports and increase revenue by supplying international markets. Decision-makers should also address the factors that constrain household food access, both physical and economic, and focus on expanding safety nets for the most vulnerable in the population.

Acknowledgments

Funding for this study was provided by the Research Development Fund of the University of Technology, Jamaica, managed by the University’s Research Management Office, the School of Graduate Studies, Research & Entrepreneurship. Gratitude is expressed to the heads of the 572 households across Jamaica who participated in this study.

References

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Empowering Young Researchers: Understanding the Mind of Prospective Aides Regarding Elderly Clients

DOI: 10.31038/PSYJ.2023512

Abstract

Young researchers (ages 8 and 13, respectively) designed two studies, each with 100+ respondents, to explore how respondents who might choose to become health aides (females, ages 16-25) would respond to different messages about aspects of the job. The first study dealt with the respondent’s feelings about taking care of an older male client, the second study dealt with both the respondent’s feelings about taking care of an older female AND at the same time how the older female client might feel. Both studies showed the ability of the templated Mind Genomics process (www.bimileap.com) to help the researchers develop better ideas, and in the end produce strong performing data, as proven by the IDT (index of divergent thought, measuring strength of ideas based upon the responses of external respondents).

Introduction

In a previous study, the authors presented a new approach to understanding the minds of people. Rather than having adult or at least ‘older’ individuals create experiments, the approach worked with young people, giving them the tools to be researchers. The rationale for that study was that young people may perceive a situation quite differently from the way older people perceive the situation. Researchers are well aware of individual differences as well as meaningful variation in the topic that they study, while remaining blissfully unaware of the differences in viewpoint of the same problem by different individual [1]. One may study the way younger and older individuals perceive the same topic, with the substance of the investigation being a comparison of perceptions of the same problem. Such an approach can generate a valuable corpus of data, but inevitable the focus of the research will devolve to the differences in the questions that the different groups of researchers will ask in their pursuit of knowledge. Whereas it may be laudable to develop such knowledge, viz., differences in the perception of the same topic by different groups, the focus on comparing the different researcher groups ends up with comparisons of database, such comparisons being done in a lockstep manner.

The contribution of this paper and its previously published companion paper differs, following a new vision. That vision is that the database of knowledge be created by young researchers, the effort focused on learning about the world through the eyes of these young researchers. Whereas comparison with older researchers may be interesting, in the end the goal is to let the natural inquisitiveness of young researchers open up the world as they see that world. Furthermore, by letting the young researchers follow their own interests, we get a sense of how they perceive the world, without having to proceed in a lockstep fashion with similar perceptions by older individuals. In a sense, we are building a world of knowledge through the lenses of young people who are now equipped with easy-to-use, quick, inexpensive, and engaging state of the art research tools and statistics.

The Mind Genomics Process for Creating Knowledge

The objective of Mind Genomics is to create knowledge about how people make decisions about the ordinary aspects of the day [2]. The interested reader is referred to the various published papers which outline the approach and which provide examples of the applications in topics as diverse as the law [3], society [3,4], as well as commercial endeavors such as the design and marketing of food [5,6], and so forth. The actual research is straightforward, founded on the premise that the solid data emerges from the pattern of responses to test stimuli, when these stimuli are created by combining messages or elements into short test paragraphs. The combinations of messages are more natural, combining different ideas, in a manner that would be experienced by a person in daily life. Rather than asking the respondent to ‘think’ about the individual messages, thus possibly introducing bias and the effort by respondents to ‘get the right answer’, the researcher forces the respondent to evaluate the combination in a way that can be described as ‘gut feel.’ The respondent cannot guess the right answer, ending up simply rating the combinations almost automatically, without thinking, mimicking a great deal of our ‘automatic pilot’ which guides us through daily life.

The study begins with the selection of four questions which tell a story. The newly updated version of the BimiLeap program provides artificial intelligence to help the researcher identify the questions (Idea Coach). Once the respondent has selected the four questions, the BimiLeap program offers AI-powered Idea Coach once again to help the researcher to select four answers for each question. Finally, the program dynamically creates different combinations of the 16 elements, putting these elements into a group of 24 ‘vignettes’, or combinations [7]. Each respondent tests a totally different set of vignettes, much like an MRI. The process takes about 3-4 minutes on the computer, with many respondents reporting that they felt that they could not get the ‘right answer’ because there seemed to be no obvious structure.

The analysis of the foregoing data, done by regression and clustering, end up creating a simple equation of the form: Dependent variable = k0 +k1(A1) + k2(A2) … k16(D4). The dependent variable is the assigned rating by the respondent to a vignette, or for Mind Genomics a transformed value. The independent variables are A1-D4, the 16 elements, which are either present or absent in the vignette. The coefficients k1-k16 tell us the contribution of each element to ‘driving’ or influencing the dependent variable, DV. Finally, the additive constant, k0, tells us the estimated value of the DV, the dependent variable if the vignette were to contain no elements, a purely hypothetic case since all vignettes comprise 2-4 elements specified by the underlying experimental design. The additive constant is typically looked as a baseline value.

The two new studies run by senior authors Ciara Mendoza and her brother Cledwin Mendoza deal with aides to seniors (age 84 for males, 94 for females). The two studies were positioned slightly differently, but both dealt with aides doing various activities with and for their clients. In both studies the respondents were 100+ women, ages 16-25, from the United States, with stated income of $35,000 or less. The objective was to sample female respondents would someday think of becoming a health aide or companion for an older individual. The respondents were recruited by Luc.id Inc., a company specializing in aggregating respondents for online panels. The actual specifications for the respondents were set up in the recruitment specifics, in an API linked to Luc.id. All the researchers had to do was selecting the qualifications for the respondent, and order (purchase) the respondents. Once the researcher paid for the panel by credit card the study was launched, requiring about 1-2 hours to complete. All specifics about panelist ‘incentives’ to participate were handled separately by Luc.id. It is important to keep in mind that the study might have taken a week or two to complete through other means, such as inviting one’s friends. The system developed with Luc.id took that down to 60-90 minutes.

The final things to keep in mind before we look at the studies is that the analysis is fairly standard by now, using data transformation to create the ‘dependent variable’, followed by OLS (ordinary least-square regression) to create equations, and then k-means segmentation [8] to identify groups which are different in the way they responds to the elements, the so-called mind-sets.

Structure of the Studies and the Analyses

The topic of aging is growing in interest for a simple, overwhelming unchallengeable reason, demographics. The population is growing older [9,10]. With aging comes the inevitable consequences of loss of physical capacity [11], loss of mental capacity [12,13] and the increasing recognition that older people often perform better when they are encouraged and helped by aides specially trained for older people [14-17].

The focus of these two experiments is to understand the mind of women, ages 16-25, who might possibly become health aides, ministering to very old individuals, clients well into their 90’s. Such information about what prospects think about the aspects of a job helps the employer to keep abreast of both the changes in the way prospective employees ‘think about a job’, as well as understand the type of person who might be best suited from the job, based upon the way the job candidates ‘thinks.’ Finally, the ability to gather such information literally in less than a day, for very little money allows anyone to make better decisions, either about hiring a candidate employee, or for the employee choosing the employer or even the best career. To prepare for these larger studies calling for 100 respondents per study, the young researchers practiced setting up studies in BimiLeap, and running five respondents per study. This practice allowed them to become more facile with the BimiLeap approach, with the use of artificial intelligence through Idea Coach, and finally to break somewhat free of the embedded artificial intelligence by editing the answers provided to them, in some cases pre-empting the artificial intelligence to provide their own answers. This ability to edit or replace AI-suggested answers is an important one. Research by author HM and colleagues testing AI-generated vs. human-generated answers found that, in most cases dealing with issues of daily life, the human-generated answers generated higher response levels than AI-generated answers, strongly suggesting that whereas AI-generated answers are often sufficient, some can be improved or added with human judgment. However, we should note that as the AI algorithms improve, the quality of the answers is likely to also improve. Even with improvements, the authors expect that human researchers will remain the final judges and arbiters of the most appropriate answers [18].

The actual studies are summarized in two sets of three tables each. The first table in the triplet shows the parameters of the equation relating the presence/absence of the elements to the TOP2, the positive ratings (viz., easy to take care). The second table in the triplet shows the parameter of the equation relating the presence/absence of the elements to the BOT2 ratings (viz., hard to take care). The third table in the triplet shows the Index of Divergent Thought, an approach to measure the quality of thought, based upon the weighted number of positive coefficients. It will be clear from this third table in the triplet that the young researchers have been able to master some of the important aspects of the research approach, specifically the selection of strong performing elements.

Study 1: Taking Care of a 94 Year Old Man

The study concerned the feelings towards an old man, with the aide’s job, in part, were to talk to the man for an hour. As in these studies by young researchers, all of the material was created by them, with minimal direction from the senior authors. The top row of Table 1 shows the introduction to the topic, as presented to the respondents. The respondents themselves will have no ideas about the correct answer because they read the orientation paragraph, and then immediately rate a set of 24 vignettes comprising 2-4 of the elements without any interaction with a person to give them a clue about ‘right/wrong,’ doing so in 3-4 minutes. As mentioned in the short introduction, the BimiLeap program produces a single model or equation for the total set of 105 respondents, then produces 105 separate models or equations, one for each respondent. Finally, the BimiLeap program clusters the 105 respondents based upon their individual models, using the values for the 16 coefficients, emerging with three distinct groups of people . These are the mind-sets. The BimiLeap program then creates one new equation based on all the individuals within a mind-set.

Table 1: Performance of elements dealing with care for a 94 year old man. Part 1 shows the results for ratings of ‘easy’. Part 2 shows the results for ratings of ‘difficult.’

table 1(1)

table 1(2)

We now explore Table 1, Part A (drivers of ‘easy’), beginning with the Total Panel, and then proceeding to a comparison of the mind-sets.

  1. Additive constant for the total panel is th estimated proportion of the transformed responses (TOP2) to be 100, or the original ratings to be 4 or 5, in the absence of elements. Clearly the experimental design precludes that, forcing each vignette to contain a minimum of two elements and a maximum of four elements, with no vignette containing mor than one element or answer from a question. Thus the additive constant is a baseline. For total panel the additive constant is 42. This means that the baseline ease to take care of the old man is low. There is a great deal of difficulty. Only 42% of the responses would be stating ‘easy’.
  2. The mind-sets show an exceptionally large variation in basic easy’ responses. Mind set 1 feels that it will be very easy (additive constant 60) whereas Mind set 3 feels that it will be not easy (additive constant 21)
  3. The ‘story’ continues with the coefficients. Although the respondents may have felt that they were ‘guessing’ nothing could be further from the truth. Keep in mind that we are looking only at the positive coefficients, viz., those which mean that incorporating the element into the vignette increases the rating of ‘easy’ (viz., rating of 5,4). The coefficients show the incremental percentage of respondents rating the vignette ‘easy.’
  4. Looking at the top part of Table 1, devoted to TOP2, the ratings of ‘easy’, and focusing only on the column or Total Panel, we see that most of the elements which appear have low positive coefficients. This tells us that they do drive a response of ‘easy’ for the vignette BUT not too strongly. Only one of the elements, B7, Talking to an old man provides with social interaction and stimulation, with a coefficient of +7, approaches the status of ‘strong performer’. The status of ‘strong performer’ is based upon statistical considerations, with a coefficient of +8 approaching ‘statistical significance’ in the underlying regression analysis.
  5. It is when we get to the mind-sets that we see strong elements emerging. The rationale for the emergence of these mind-sets is simply that the Total Panel comprises these groups which cancel out the ‘signals’ emerging from each mind-set. In other words, there is too much ‘noise’ in the total panel.
  6. The mind-sets emerge from the process of clustering, viz., dividing the 105 respondents by the pattern of their 16 coefficients. The flat data that we saw for the total panel seems to disappear, to be replaced by different groups of strong performing elements. The composition of each mind-set is determined by the clustering process, a purely mathematical process. It is the researcher’s job to find the underlying story, and thus give the mind-set a name. Sometimes these underlying stories are not clear when we extract only two mind-sets. The stories get clearer when we extract three mind-sets. Of course, the story will get increasingly clear as we extract more than three mind-sets, but good research practice dictates that work with as few mind-sets as possible (parsimony), as well as strive for a clear story (interpretability).
  7. As we inspect the top section of Table 1, we see many strong performing elements in each mindset, as well as many blank cells. Our conclusion is respondents see the topic of caring for a 94 year old as having different benefits. From a practical point of view we now have a deeper understanding of the different facets of taking are of a 94 year old man, facets are perceived by real people, rather than by policy makers and managers.
  8. Moving now to the bottom section of Table 1, we inspect the results after turning the scale around, looking at the elements which drive ‘difficult.’ Keep in mind that BOT2 looks at the data in the same way, but only after the transformation.
  9. Our inspection of the data for ‘difficult’ begins with the additive constant. The four numbers suggest low but not very low basic perception of ‘difficult.’ The additive coefficient for Total Panel is 30, which is appreciable, and not small at all. It means in the absence of any information, we expect 30% of the ratings of the vignette to be 1 pr 2, respectively.
  10. When we move to the mind-set we see that we will encounter a range of basic perceptions of ‘difficult’ with Mind-Set 3 expected to rate almost half of the vignettes as difficult or very difficult. From a practical point of view, we should expect less ‘trouble’ working with Mind=Set 1 with their low additive constant of 17 for ‘difficult’, and more ‘trouble’ with working with Mind-Set 3 with their high additive constant of 45.
  11. The actual coefficients are occasionally positive, but many are blank, so they are irrelevant. Furthermore, Table 1 shows no strong performing elements for ‘difficult.’ Nothing stands out, either for the Total Panel or for the three mind-sets.

Study 2 – Taking Care of a 94 Year Old Woman

This second study was more adventurous, reflecting the effort to understand what the respondent would feel (Ratings 5 and 4 vs. ratings 1 and 2), and what the 94 year old client (Lila) might feel. Our focus will be primarily on what the respondent says she herself would feel, and then secondarily on what the respondent thinks her client would feel. For the respondent, the key new things to consider are the need to answer considering the two options, her feeling and her guess about the respondents feelings. Table 2 shows the distribution of the five point ratings across all 101 respondents (R5-R1), as well as the four ‘net’ values. These net values are R54 (Respondent feels it will be easy), R12 (Respondent feels it will be hard), R52 (Respondent feels that the client will like it), and finally R14 (Respondent feels that the client will dislike it).

Table 2: Averages of transformed ratings and ‘net ratings’ for the vignettes

table 2

The pattern of percentages in Table 2 suggests differences among the mind-sets, and that the respondents can differentiate their feelings from those of the presumed client feelings. For example, R4 (easy for me; client dislikes) as well as R2 (hard for me, client likes) show non-zero values. Respondents are able to differentiate themselves from their clients, even for the same vignette. The ability appears in the entire total panel and all three mind-sets.

Table 2 suggests that the respondents seem able to differentiate what they feel about the information in a vignette versus what they expect another person to feel. The ability to differentiate different points of view with a single rating permits the researcher to more deeply understand how people respond versus how they think others will respond. This finding should not surprise us. The basis of consumer research is the evaluation of different aspects of a concept or product. Of greater interest will be the analysis to discover the nature of the specific elements, viz., which specific elements are perceived to be easy/client will like, versus easy/client will dislike, etc. We now move to the analysis of the data as we in Table 1, looking only at the first half of the rating scale, easy vs. hard, independent of the expected response of the client. Table 3 (Top portion) shows the results similar to Table 1, viz. for ratings of ‘Easy’ (TOP2). We see that the additive constants are in the middle range, 45 for the total, and 39 to 59 for the mind-sets. The stronger results emerge from the coefficients. There is only one strong performing element for the Total Panel (D3: Talking with an old lady lets her connect because she can ask about the lives of other people). In contrast, when the respondents are clustered into three groups, viz., mind-sets, several elements emerge as strong performers for each mind-set.

Table 3: Performance of elements dealing with care for a 94 year old woman. The table focuses only on the rating of easy/hard as perceived by the respondent. Part 1 shows the results for ratings of ‘easy’. Part 2 shows the results for ratings of ‘difficult.’

table 3(1)

table 3(2)

Table 4: Performance of elements showing the ‘expected response’ of the 94 year old woman (client). The table focuses only on the rating of how the respondent feels that the client will like the element. 1 shows the results for ratings of ‘client like’. Part 2 shows the results for ratings of ‘client dislikes.’

table 4

When we look at the mind-sets in terms of easy vs. hard for the aide (viz. for the respondent assuming to herself that she is the aide), we find that the differences among the mind-sets are subtle, rather than dramatic. It may be that adding another consideration to the rating scale, the response of the client, viz., the old lady, may interfere with the ability of the respondent to focus on how she feels about the message for herself as the aide. When we move to the bottom up (HARD), in the second part of Table 3 we find that Mind-Set 1 begins with the lowest level of basic perceived hard (Additive Constant =13), and, in turn, shows the only strong performing elements. The other two mind-sets as well as Total Panel show no strong performing elements. When we move to the second part of the scale, that dealing the expected response of the ‘client’, viz., the 94 year old woman, we begin to get a clear picture of what might be the most important elements. These are from group B.

Talking to an old lady provides her with social interaction and stimulation.

Talking to an old lady helps maintain her mental faculties.

Talking to an old lady promotes better sleep for her.

Talking to an old lady provides her a sense of companionship.

It may well turn out that for these types of studies about jobs, the best approach is to use a double sided scale, one side dealing with one’s own feelings, the other side dealing with the expected response of others.

Measuring the Performance of the Research Results

A continuing issue in research is the measurement of ‘research quality.’ How does one know whether a study is of high quality or poor quality? One may look at the execution of the study, the analysis of the data, and even the writeup of the results to get a sense of whether the study is worthy of publication. But what about studies of the everyday, where the topic may not be particularly interesting because it is ordinary, ‘mundane,’ and simply falls below the radar of a serious scientist.

The issue of ‘research quality’ is especially important for the efforts which go into studies using Mind Genomics. By its very nature, Mind Genomics deals with the boring, the ordinary, despite the ordinariness of the topic, well executed Mind Genomics experiment emerges with a great of insight about the thinking by people, doing so without changing the reality of the situation, without somehow manipulating the situation to show an effect. A key aspect of Mind Genomics is that the test stimuli are evaluated by people for their basic ‘loading’ on different variables, such as one’s perceived enjoyment in doing the action. We can define the performance of the element as being the coefficient. That coefficient shows the degree to which the element departs in a positive way from the current baseline. Presumably the greater the sum of departures from the current baseline, the better the experiment because it is the human judge who rates the test elements.

Mind Genomics studies lend themselves to measures of research quality that can be made automatic, and objective. It is not an expert who evaluates the vignettes, but real individuals. In turn the individuals, who evaluate, viz. the respondents, can be sourced from many places, with the respondent ‘panel’ shaped to fit required specifications. As such, Mind Genomics both creates the test stimuli, and evaluates them by people, in what might be called a meld of objective and subjective measures. In the end, however, the evaluation of the test vignettes is done in a structured, and reproducible fashion, leading to numbers (additive constants, coefficients, after the dependent variable is specified). The measure of research quality developed for Mind Genomics is called the IDT, the Index of Divergent Thought. The calculations for the IDT are shown in Table 5. The IDT works simply by considering only positive coefficients of 1 or higher for six groups. These groups are Total Panel, the three mind-sets, discussed here, and the two-mindsets, not discussed here. The approach sums the positive coefficients for each of the six groups, weights each sum by the relative proportion of the respondents in that group, and then adds the weighted sums.

Table 5: The IDT (Index of Divergent Thought) and its computation for the two studies, on a 94 year old man, and a 94 year old woman

table 5

In many studies the IDT is often 30-50. The IDT results are very high for these two studies, perhaps the result of the young researchers gaining experience in how to think about the problems, combine with their ability to work with artificial intelligence suggestions, and then modify these suggestions to be simple, and direct. The IDT values of 70.7 and 65.3 are unusually high, and speak to the positive impact Mind Genomics can exert on the intellectual development of young people when they are actively involved as science researchers.

Discussion and Conclusions

As the world of consumer research evolves, it is becoming increasingly clear that the voices of researchers need not remain those of the academic elite who have been educated in best practices. The results shown in this paper suggest that the increasing power of the computer, and of artificial intelligence, is allowing more people to participate in the creation of knowledge, indeed knowledge of high quality. What then has been shown in this study beyond the ability of young people to become researchers? If one were to summarize the learnings, it is that there is an opportunity to improve societal welfare by understanding the needs of people through research. The simple examples of these two studies suggest specific activities which are hard, activities which are easy, and that people differ from each other in their opinions. These differences among people emerge when people are presented with compound test stimuli, preventing the people from ‘knowing the right answer.’

When we look at the different activities, and the responses to those activities, we become more away of subtle differences in behaviors that we might have combined under a general rubric. For example, talking to the client and encouraging the client to talk may seem to be one simple topic, but there are many facets of talking. Only through experiments such as those enabled by Mind Genomics can we end up quantifying the differences. Yet, beyond the template lies the suggesting power of Idea Coach (artificial intelligence), the response of real human beings (test execution), and the power of objective analysis (regression and clustering). This triumvirate, acting together in the period of an hour or two, and supporting the efforts of young researchers, or indeed anyone, anywhere interested in a problem, promises a breakthrough in the education of young people in a new manner, and perhaps the solution of societal problems driven by young minds, rather than by experienced but desensitized professionals whose very history ends up blinding them to important, emerging opportunities.

References

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  7. Gofman A, Moskowitz H (2010) Isomorphic permuted experimental designs and their application in conjoint analysis. Journal of Sensory Studies 25: 127-145.
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  11. Kagwa SA, Boström AM, Ickert C, Slaughter SE (2018) Optimising mobility through the sit‐to‐ stand activity for older people living in residential care facilities: A qualitative interview study of healthcare aide experiences. International Journal of Older People Nursin 13. [crossref]
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  14. Diwan S, Berger C, Manns EK (1997) Composition of the home care service package: Predictors of type, volume, and mix of services provided to poor and frail older people. The Gerontologist 37: 169-181.
  15. Gallagher S, Bennett KM, Halford JC (2006) A comparison of acute and long‐term health‐care personnel’s attitudes towards older adults. International Journal of Nursing Practice 12: 273-279.
  16. O’Brien N (2003) Emergency preparedness for older people. New York, International Longevity Center-USA.
  17. Piercy KW (2000) When it is more than a job: Close relationships between home health aides and older clients. Journal of Aging and Health 12: 362-387. [crossref]
  18. Moskowitz HR, Rappaport S, Deitel Y (2022) The quality of ideas when AI (artificial intelligence) is used as a coaching device. Mind Genomics Studies in Psychology & Experience (ISSN: 2771-9308).
fig 1

The Effect of Pancreatin on Glimepiride Release Kinetics as a Model for Studying Endogenous Mediated Enzymes on Orally Administered Lipophilic Drugs

DOI: 10.31038/JPPR.2022544

Abstract

Glimepiride, a second generation of sulfonylureas, is used in treating diabetes mellitus. The monograph does not include digestive enzymes, such as pancreatin, in the description of its dissolution tests. Because its aqueous solubility values in literature are inconsistent, this study firstly determined it. In order to gain insight how a glimepiride tablet acted in the gastrointestinal tract, a three stage dissolution study tested two commercial tablets. Pancreatin powder was added versus not added in the beginning of Buffer Stage 1. HPLC quantified samples at 228 nm. The US Similarity Factor ratified that (a) similar between commercial Products A and B release profiles (f2 ≥ 50), and (b) different in drug releases between dissolution media containing versus not containing pancreatin. This study also found that the drug amount in the dissolution medium containing pancreatin decreased from 22 h to 24 h, while the same decline was not observed in the control group. Drug decomposition occurred in the pancreatin group was further expedited. After UV spectrophotometric scan and HPLC characterization of the 24 h dissolution samples, a small un-identified chromatographic peak was recorded at 235 nm and 240 nm respectively. This study highlights how endogenous mediated enzymes affects the free concentrations of lipophilic drugs.

Keywords

Glimepiride, Pancreatin, Three-stage dissolution, FDA similarity factor f2, Release kinetics, Solubility descriptor

Introduction

For oral drug delivery to be successful, the aqueous solubility of the drug compound in the GI system should be either known from literature or assessed in the lab to determine if modifications are needed. Lipase is produced primarily in the pancreas. There is no lingual lipase in human [1]. The activity of the gastric lipase is not low. It is also stable in acid pH. Actually, its maximum activity is at pH 5, which is the immediate fed stage pH for many cases. The pH of a fed stomach lowers thirty min or so after food intake due to the secretion of gastric acid by parietal cells, which aids in food digestion, absorption of minerals, and control of harmful bacteria. Gastric lipase is stable in acid pH, but is not as active after the gastric pH is lowered. After being mixed with gastric lipase, powerful gastric juice and 2-4 h of peristaltic contractions (mechanical digestion churn), approximately 30% of fats/triglycerides in the food bolus is broken down into diglycerides and fatty acids in partially digested food mass (known as chyme). When the chyme passes to the small intestine, pancreatic lipase is secreted by pancreas into the duodenum through the duct system of the pancreas to continue the fat digestions [1]. The third lipase is hepatic lipase, which is produced by the liver [1]. Hepatic lipase is a lipolytic enzyme that contributes to the regulation of plasma triglyceride levels, but not in the intestinal lumen [2]. Over the past 50 years, dissolution testing has also been employed for different purposes, such as a quality assurance/quality control procedure, in research and development to detect the influence of critical manufacturing variables and in comparative studies for in vitroin vivo correlation [2]. However, most compendium monographs describing dissolution tests as a part of performance tests do not include digestive enzymes in the media. Many are defined as one-stage (single medium pH) tests to serve quality control purposes. However, the pH of the gastrointestinal medium is a digestion parameter. Thereby, multistage in vitro dissolution tests should also be conducted during the preformulation and formulation stages. This project aimed at the examination of how pancreatin may impact the release of a lipophilic drug from its oral dosage form with food intake. Glimepiride (a long-action second generation of sulfonylurea) was chosen as the model drug, because its side chains are known to be less polar. Glimepiride is usually administered by mouth once a day by taken with the first meal of the day. The current market products for glimepiride are in tablet dosage form with strength availability as 1-, 2-, 3-, 4-, 6- and 8-mg. Unfortunately, the aqueous solubility values of glimepiride in the literature are not consistent, ranging from partly miscible to < 0.004 mg/mL [3-6]. That was why we set to test its aqueous solubility followed by the exploration of the solubility in different physiological pH media. Since the oral cavity, stomach, and small intestine function as three separate digestive compartments with differing chemical environments, a three-stage in vitro dissolution study is believed to be superior to one stage to answer the scientific questions of this study “How pancreatin may impact the release of a lipophilic drug?”, although one pH stage dissolution contributes in quality control. The statement regarding the quantity of pancreatin and the test solution for the pancreatin to add may be found in USP43-NF38 Intestinal Fluid, Simulated, TS in Reagents and Reference Tables > Solution [7]. This test solution is prepared first by dissolving 6.8 g of monobasic potassium phosphate in 250 mL of water, mix, and add 77 mL of 0.2 N sodium hydroxide and 500 mL of water. Second, add 10.0 g of pancreatin, mix, and adjust the solution with either 0.2 N sodium hydroxide or 0.2 N hydrochloric acid to a pH of 6.8 ± 0.1. Last, dilute with water to 1000 mL [7]. Next, we searched for a protocol how to prepare each stage medium for the three-stage dissolution study and found the required description in Mesalamine Delayed-Release Tablets Monographs [7]. By doing so, the second project aim, which was to determine whether pancreatin impacts a highly lipophilic oral drug using in vitro dissolution study, became feasible. The dosage forms were two commercial glimepiride tablets in two different strengths, 2- and 4-mg. The percent of their in vitro drug release data was next entered an Excel worksheet according to the U.S. FDA Similarity Factor equation to compute into f2 values for comparison [8-10].

Materials

(a) Model Drug and its Commercial Products

Glimepiride (TCI, JPOSL-FH) powder was purchased from VWR (Radnor, PA). Amaryl 2-mg and 4-mg Tablets (Lot FT00, products of Sanofi-Aventis), and Glimepiride 2-mg and 4-mg Tablets USP (Lots P2100682 and P2101988, Products of Accord Healthcare) were purchased from Cardinal Health (Dublin, OH). Amaryl Tablets were coded as Product A, while Glimepiride Tablets USP was coded as Product B.

(b) Reagents and Supplies

Monobasic sodium phosphate (Ward’s Science, AD-20224), phosphoric acid (VWR, 18H104005), acetonitrile (OmniSolv, 59135), tribasic sodium phosphate (Alfa Aesar, 10220493), hydrochloric acid (VWR, 2017062956), sodium hydroxide (EMD, 49124919), pancreatin (Ward’s Science) were purchased from VWR.

Methods

Glimepiride Solubility Study

The Glimepiride aqueous solubility values found from four different literature are not consistent ranging from partly miscible to < 0.004 mg/ml. Besides, “partly miscible” and “very poor solubility” are not the terms used in Solubility Table (Table 1). Therefore, its aqueous solubility was determined first. Ten mg of glimepiride powder was added into a water tank containing 10 liters of purified water with occasional shaking for up to 48 h. Three 10-mL samples were taken from different content locations of the 10-L tank. Sample of 5 mL was transfer into a 10 mL syringe and filtered through 0.2-micron nylon membrane syringe filter prior to being subject to UV-Visible spectrophotometer (Cary 50, Agilent Technologies) and HPLC for analyses. The other 5 mL were kept in culture tube without filtration. All experiments were performed in triplicate.

Glimepiride High-Performance Liquid Chromatography

The HPLC assay was adopted from Glimepiride Tablets Monograph in USP43-NF38, 2022 [7]. Diluent was acetonitrile and water in 9:1 v/v. The stock solution was prepared as 1 mg/mL Glimepiride. Standard solutions for building between day and within-day standard curves were constructed by taking aliquots of stock solution and diluting them with Diluent to prepare into the six standard concentrations between 0.004, 0.02, 0.1, 0.2, 0.5 and 1 mg/mL, and acquired the AUC of each standard concentration. The averaged AUCs of the same standard concentrations (n=3) were construct into a grand calibration plot. However, a shorter standard curve was plotted from 0.004 to 0.1 mg/mL for use in this project due to the low drug strengths (2 mg and 4 mg). The LC systems was Agilent Technologies Series 1260 Infinity consisted of an auto-sampler, a thermostatic column compartment, a degasser, a variable wavelength detector, and a quaternary pump with Chemstation® software). After testing the peak shapes and retention times of three HPLC columns, chromatographic conditions adopting from USP Glimepiride Monograph [7] were eventually set as LiChrosorb RP18 column, column temperature 35°C, injection volume 20 μL, flow rate 1.2 mL/min, detection wavelength 228 nm, run cycle 12 min, dissolving 0.5 g of monobasic sodium phosphate in 500 mL of water, adjusting with 10% phosphoric acid to a pH of 2.1-2.7 and added 500 mL of acetonitrile to mix and serve as mobile phase.

Glimepiride UV-Visible Spectrophotometer

The wavelength ( λmax ) where glimepiride had the highest absorption was determined by scanning the samples taken from the 10 mg glimepiride dissolved in 10 liters of water for 48 h using UV-Visible spectrophotometer (Cary 50, Agilent Technologies). If glimepiride is not soluble in water, these samples would further mixed with acetonitrile in two different ratios (water and acetonitrile in 1:4 and 1:9 v/v) and scanned from 200 to 800 nm to see whether organic solvent aided in glimepiride solubility.

Three-Stage In Vitro Dissolution Study Stimulating Human Gastrointestinal Fluids and Transition Time

Three different performance tests are described in Glimepiride Tablet Monograph USP43-NF38. These tests are similar in: (1) use of Apparatus 2 (Paddle), (2) pH 7.8 phosphate buffer (singe medium stage), and (3) 75 rpm stirring rate at 37.0 ± 0.5°C, but are different in dissolution times (15 min, 45 min, and 20 min respectively) [7,8]. A single medium pH performance test is good for use in QA/QC, but is not possible to assess whether pancreatin influences glimepiride release from a tablet and dissolved in the various simulated gastrointestinal media. Three dissolution stages containing one Acid Stage and two Buffer Stages modified from Mesalamine Delayed-Release Tablets [7]. The rational is that pancreatin should be added in the beginning of Buffer Stage 1 to mimic the enzyme being secreted from the pancreas and discharged from pancreatic duct into duodenum. Glimepiride Tablets Monograph only stated to use the phosphate medium at 7.8 pH, which is not the pH value of Buffer Stage 1 [7]. The 3-stage dissolution test with pancreatin added at the beginning of Buffer Stage 1 used in this study as the experimental group is described briefly as following. The medium preparation for each of the three stages in application to the control group were the same as that of the experimental group except without the addition of pancreatin.

Medium Preparations and Progression of Dissolution Study

The Gastric Fluid – Simulated in Reagents and Reference Tables > Solutions > Test Solutions and Indicator Solutions > Test Solutions only describe how to prepare as pH 1.2 without further information regarding fasting versus fed state. So are the performance tests of several tablet and capsule monographs. Since the smallest volume to set for Distek Dissolution Apparatus was 500 mL, we assumed it was for fasting state. We, thereby, selected 750 mL 0.1 N HCl into a 1-liter dissolution vessel and warmed to 37.0 ± 0.5°C as a medium size postprandial condition. A glimepiride tablet either 2- or 4-mg was placed into the vessel medium. The paddle stirred at 75 rpm for 4 h. At the end of this 4-h, Buffer Stage 1 was initiated by adding 200 mL of 0.20 M Tribasic Sodium Phosphate to adjust the pH to 6.4, while the paddle continued to stir at 75 rpm. For each pancreatin containing group (also called as experimental group, or experimental medium), 10.88 g of pancreatin was added (after 200 mL of 0.20 M tribasic sodium phosphate was added and mixed the 750 mL of 0.1 N HCl well in a dissolution vessel) to simulate the small intestinal fluid when food chyme arrives the duodenum and pancreatin secretion is activated. The color turned from clear to yellowish cloud. Figure 1 used 1-L beaker instead of 1 L of dissolution vessel to display phosphate buffer pH 6.4 after 10.88 g of pancreatin was added as the experimental group. At the end of the 4-h Buffer Stage 1, sodium hydroxide 2 N (that was, 1.04 g NaOH with a sufficient amount of water to make into 50 mL solution) was further added to bring the total medium volume at 1000 mL and pH was 7.4 (Stage 2 Buffer). The dissolution apparatus continued to stir during the Buffer Stage 2 for 16 h to simulate large intestinal pH and transition time.

fig 1

Figure 1: Pancreatin powder in the ordered container with label as well as in a weight boat (right), and the buffer stage 1 medium of an experimental group in the beaker (left). See text.

The sampling schedule was 2 h, 4 h (Acid Stage), 6 h, 8 h (as 2 h and 4 h during Buffer Stage 1, pH 6.4), 9 h, 22 h, and 24 h (at 1 h, 14 h and 16 h during Buffer Stage 2, pH 7.4). Five mL of dissolution medium were collected from each vessel at the designated sampling time and replenished with equal volume of blank (same medium of each stage, but contained no drug). The first 2 mL out of these 5 mL were filtered through a 0.22-micron syringe filter were discarded. The remaining 3-mL was continued to filter through the syringe filter, collected into a culture tube, and capped. One mL of such sample was later placed into a HPLC vial for analysis when a 24-h dissolution cycle ended. The recorded AUCs were converted into concentrations using an prebuilt standard curve averaged out of 3 runs (Section 3.2) and further computed into the dissolved amount (in mg) as well as the percent of drug release. The drug dissolution profiles were constructed with the averaged percent of release (n=3) in the Y coordinate (ordinate) plotted against the dissolution time (in h) in the X coordinate (abscissa).

Tablet Dissolution Study

The feature was a 2 x 2 x 2 factorial design with three main effects. The first number in 2 x 2 x 2 stands for “two payloads 2-mg vs. 4-mg”. The second number stands for “with vs. without pancreatin”. The third number of 2 x 2 x 2 stands for “Tablet Product A and Product B”. A pretest showed all four glimepiride tablets (Products A and B in 2-mg and 4-mg) sank to the bottom of a dissolution vessel after a tablet was dropped into a dissolution vessel. They neither rise nor were hit by stirring paddles during tests. Therefore, no tablet sinker or use of dissolution apparatus 1 (basket method) was required.

Glimepiride Powder Study

Glimepiride powder of 2 mg and 4 mg as controls were subject to in vitro dissolution study using USP Apparatus 2 (Distek Premiere, model, 5100) at 75 rpm, 37.0 ± 0.5°C. The medium preparations between the experimental group and control group, dissolution conditions and sampling schedule were at same as Section 3.4.1.

The U.S. FDA Similarity Factor f2 value

The equation of U. S. Similarity Factor, f2 value used to compare two dissolution profiles is available in Guidance for Industry Dissolution Testing of Immediate Release Solid Oral Dosage Forms as well as M9 Biopharmaceutics Classification System-Based Biowaivers [9-12]. The Similarity Factor f2 value, compared two dissolution profiles at a time using the following formula:

for 1(Equation 1)

f2 is the similarity factor;

n is the number of time points;

Rt is the mean percent reference drug dissolved at time t after initiation of the study;

Tt is the mean percent of test drug dissolved at time t after initiation of the study.

Two dissolution profiles are considered similar when the f2 value is ≥ 50.

The evaluation of the similarity factor is based on the following conditions [9]:

  1. A minimum of three-time points (zero excluded)
  2. The time points should be the same for the two products
  3. Mean of twelve individual values for every time point for each product.
  4. No more than one mean value of ≥ 85% dissolved for any of the products.
  5. To allow the use of mean data, the coefficient of variation should not be more than 20% at early time points (up to 10 minutes) and should not be more than 10% at other time points.
  6. Two dissolution profiles are considered similar when the f2 value is ≥ 50. When both test and reference products demonstrate that ≥ 85% of the label amount of the drug is dissolved in 15 minutes, comparison with an f2 test is unnecessary, and the dissolution profiles are considered similar [9-12].

Results

Glimepiride Solubility and Descriptor Determination

After the three samples being collected from the 10-L tank containing 10 mg of glimepiride and 10 L of water which was allowed to dissolve up to 48 h in each experiment (Section 3.1) and subject to HPLC analysis, only a very small drug peak at limit of quantification (LOQ) magnitude out of the three sample injections was recorded (Figure 1a). The retention time of this small peak (Figure 2a) corresponds to that of the glimepiride peaks in a 0.04 mg/mL standard sample (8.6 min, Figure 2c). But the other two samples taken from the 10-L tank containing 10-mg glimepiride in 10-L water that did not show chromatographic peaks, we thereby took 1 mL out of the 5 mL unfiltered sample to dilute with 9 mL acetonitrile and then filtered to examine whether glimepiride was present but not soluble enough in water. A small but clear peak from each of these two injections was recorded (AUC < 3, Figure 2b). The retention times of these peaks also corresponded to the retention time of the glimepiride standard sample chromatogram at 0.04 mg/mL (8.6 min, Figure 2c). All solubility experiments were performed in triplicates.

fig 2

Figure 2: The chromatograms of glimepiride aqueous solubility study illustrated that (a) a very small peak at the limit of quantification (LOQ) was recorded from one out of three sample chromatograms after 10 mg of glimepiride was placed into 10 L of water (no acetonitrile) for 48 h. (b) The drug peak appeared after a sample which did not showed drug peak in Figure (a) was further diluted with 9 parts of acetonitrile. (c) A 0.04 mg/mL standard sample prepared according to compendium LC method which Diluent was acetonitrile and water in 9:1 ratio.

Next task was to determine the term of glimepiride in the Description and Solubility Tablet (Table 1). The glimepiride aqueous solubility may now elucidate as “10 mg (0.01 g) of glimepiride requires more than 10 L (10,000 g) of water to dissolve.” The calculation showed

for 2(Equation 2)

Based on one part of solute requires over 1 million part of solvent to dissolve, the descriptive terms in Description and Solubility (Table 1), glimepiride belongs to the category of “practically insoluble in water”.

Table 1: Description and solubility [7]

Descriptive Term

Parts of Solvent Required for 1 Part of Solute

Very Soluble

<1

Freely soluble

1-10

Soluble

10-30

Sparingly soluble

30-100

Slightly soluble

100-1000

Very slightly soluble

1000-10,000

Practical insoluble

>10,000

High Performance Liquid Chromatography

A grand standard curve was built based on averaging the AUCs of three individual standard curves from 0.004, 0.02, 0.1, 0.2, 0.5 to 1 mg/mL. Due to the low strengths of the tablets (2 mg and 4 mg) investigated in up to 1 L of dissolution medium in this project, a working range standard curve (containing 0.004, 0.02 and 0.1 mg/mL) was further plotted. The trendline was

AUC=55550 x Concentration (mg/mL) + 2.5394 R²=1 (Equation 3)

In Vitro Dissolution Results of Two Commercial Tablets in Two Strengths

The AUC collected from 7 sampling chromatograms in the 3-stage in vitro dissolution studies of two tablet groups (Products A and B) and 2 strengths (2 mg and 4 mg) were computed into percent of release as Mean ± SD using the aforementioned work range standard curve in Session 4.1 (0.04, 0.02 and 0.1 mg/mL) plus correction factor adjusted for volume withdrawal at each sampling point (Table 2). These percent of release were also plotted against time (in h) into X-Y plot with SD bars (Figure 3). Figures 3a to 3d showed that the percent of glimepiride releases in the experimental groups (pancreatin-containing) were lower than the control groups during the Buffer Stage 2 (pH 7.4 from 9 h to 22 h) in both tablets, Products A and B of the same strength. The differences between experimental and control groups are greater in 2 mg tablets (Figure 3a and 3c) than in 4 mg tablets (Figures 3b and 3d). Furthermore, the release decreased from 22 h to 24 h in the experimental group, but the release increased from 22 h to 24 h in the control group (Figure 3). Bar charts of the glimepiride dissolution in 0-8 h, 8-9 h, 9-22 h, and 22-24 h sampling intervals of Products A and B (not cumulative from 0 h to 24 h) were next constructed into bar charts (Figure 4). The percent increased or decreased in Figure 4 are among the four intervals of 0-8 h, 8-9 h, 9-22 h, and 22-24 h, not like the cumulative percent of release being reported in Figures 3. The FDA Similarity Factor, f2 values, were further computed.

Table 2: Comparison of 24-h in vitro glimepiride release in percent (Mena ± SD, n=3) from 2-mg and 4 mg commercial Tablets A and B (a) 2 mg, and (b) 4 mg without versus with pancreatin added in the beginning of Buffer Stage 1.

 A

Tab A 2 mg

Tab B 2 mg

Dissolution Stage

Time (h)

Without Pancreatin

With Pancreatin

Without Pancreatin

With Pancreatin

Acid

0

0

0

0

0

(0.1 N HCl)

2

0

0

0

0

4

0

0

0

0

Buffer 1

6

16.6 ± 10.4

27.3 ± 16.2

31.3 ± 5.0

29.1 ± 2.8

(pH 6.4)

8

37.4 ± 8.9

46.5 ± 5.5

36.9 ± 2.6

31.2 ± 3.7

Buffer 2

9

112.6 ± 11.9

97.9 ± 41.4

112.2 ± 13.2

69.1 ± 5.7

(pH 7.4)

22

119.3 ± 11.8

120.5 ± 8.7

119.8 ± 13.2

106.7 ± 6.2

 24

111.1 ± 7.8

109.9 ± 1.66

123.9 ± 12.8

76.7 ± 23.5

B

Tab A 4 mg

Tab B 4 mg

Dissolution Stage

Time (h)

Without Pancreatin

With Pancreatin

Without Pancreatin

With Pancreatin

Acid

0

0

0

0

0

(0.1 N HCl)

2

0

0

0

0

4

0

0

0

0

Buffer 1

6

16.2 ± 1.3

17.3 ± 1.8

10.9 ± 1.6

10.9 ± 4.0

(pH 6.4)

8

17.6 ± 1.0

19.4 ± 1.0

17.4 ± 1.8

23.0 ± 6.7

Buffer 2

9

89.8 ± 2.3

77.3 ± 19.3

90.5 ± 3.6

66.9 ± 20.8

(pH 7.4)

22

96.1 ± 4.0

101.7 ± 11.6

101.1 ± 4.9

97.3 ± 7.2

24

102.9 ± 2.6

85.9 ± 17.4

104.8 ± 7.9

90.5 ± 11.6

fig 3

Figure 3: The dissolution kinetic profiles in three medium pH stages of pancreatin and no pancreatin groups diverged at 2-mg strength starting 8 h (a and b) , however, this difference narrowed at 4-mg strength in Product A as well as in Product B (c and d). The most significant point was at 9 h samples, which was 1 h after the medium pH adjusted from 6.4 to 7.4.

fig 4

Figure 4: Bar charts of the glimepiride dissolution percent in 0-8 h, 8-9 h, 9-22 h, and 22-24 h, four sampling durations of Products A and B (differed from the cumulative percent in Figure 4): (a) 2-mg tablets (Products A and B) in control group (pancreatin was not added in Buffer Stage 1), (b) 2-mg tablets in experimental group, (c) 4-mg tablets in control group, (d) 4-mg tablets in experimental group.

The USP Similarity Factor, f2 Values

The f2 values which compared two groups of the same strength at a time were computed according to Equation 1 and their results are listed in Table 3. Both Products A and B are FDA-approved products. The experimental group data were plotted as the test group in Equation 1, and the control group data as the reference group. Time point, n, were from 1 to 7. The second column from the left side of Table 3 compared the differences between 2 mg Product A and 2 mg Product B in the control medium (without pancreatin) while the third column compared the 2 mg Products A and B in experimental medium (with pancreatin). The fourth and fifth columns compared the differences of 4 mg Products A and B in control medium (without pancreatin) and in experimental medium (with pancreatin). The results of Table 3 indicated Products A and B are similar in dissolution profiles (all f2 values in seven sampling points were ≥ 50).

Table 3: FDA similarity factor: comparison made between Products A and B while keeping strength and medium preparation the same.

2 mg Product A vs. Product B

4 mg Product A vs. Product B

Time (h)

WO Pancreatin

With Pancreatin

WO Pancreatin

With Pancreatin

2

100.0

100.0

100.0

100.0

4

100.0

100.0

100.0

100.0

6

73.5

74.3

83.3

83.3

8

68.6

69.9

77.3

75.6

9

60.8

64.3

65.2

66.9

22

57.3

59.9

60.6

61.7

24

55.3

58.5

58.1

59.4

Product A as test tablet, while Product B as reference tablet

In Vitro Dissolution Results of Drug Powder in Pancreatin Presence vs. Not Presence

We desired to find out whether the drug released from commercial tablets and present in the dissolution medium containing pancreatin was impacted by the excipients incorporated into making tablets. In this section, we took 4 mg of glimepiride powder into a dissolution vessel to conduct 3-stage dissolution study as the procedures described in Section 4.3 for commercial tablets. The resultant XY plots of glimepiride drug powder dissolution is listed as Figure 5. For the experimental group, HPLC did not record AUC during Acid Stage and Buffer Stage 1 until the glimepiride (drug powder alone) dissolved in Buffer Stage 2 medium for 22 h, which was much slower (Figure 5) than the commercial tablet or commercial tablets about 20-25% were released and dissolved by the end of Buffer Stage 1 (8 h, Figure 3). In the experimental group, glimepiride powder dissolved 29.8 ± 4.9% at 22 h, but decreased to 25.90 ± 6.5% at 24 h when pancreatin was added in the beginning of Buffer Stage 1. In the control group (without pancreatin), glimepiride powder dissolved was 30.5 ± 6.7% at 22 h and further increased to 30.8 ± 7.1% at 24 h (Figure 3). Never the less, t-test indicates this difference in the 24 h samples between the experimental and control groups was not significant (p=0.46) reflecting the solubility of glimepiride drug powder was very low in 0.1 N HCl as well as in phosphate buffer pH 6.4.

fig 5

Figure 5: The profiles of 4 mg glimepiride powder in three stage dissolution study displayed that the glimepiride release amount decreased from 22 h to 24 h in the group with pancreatin being added in Buffer Stage 1, but not in the control group (no addition of pancreatin) (n=3).

Checking for wavelength other than 228 nm in Buffer Stage 2 (pH 7.4 Phosphate Buffer) Containing verses Not Containing Pancreatin

The experimental medium (containing pancreatin) of Products A and B showed the trend of the percent of glimepiride decreased from 22 h to 24 h dissolution samples, we further subjected the 24 h glimepiride powder dissolution sample containing pancreatin to UV Spectrophotometric scans. The results confirmed that there were absorbance in the experimental group (containing pancreatin) at 235 nm and 240 nm in addition to the drug peak at 228 nm. We next inject the 24-h drug powder experimental samples to HPLC after syringe filtration. An unidentified peak was recorded at 235 nm and 240 nm, respectively (Figures 6a and 6b).

fig 6

Figure 6: When a 24-h sample (pH 7.4) was subjected to HPLC using (a) 235 nm, and (b) 240 nm as suggested by UV spectrophotometric scans, a small unidentified peak was recorded at the retention time of 8.8 min (a) and 8.55 min (b) respectively.

Discussion

Standard Preparations of Glimepiride Monograph and Glimepiride Tablets Monograph

The standard preparations in Glimepiride Monograph and Glimepiride Tablets Monograph in USP-NF 2022 are different. The Diluent to prepare Glimepiride standard solution is described as acetonitrile and water (4:1), while the Diluent prepared sample solution in Glimepiride Tablets Monograph Assay is acetonitrile and water (9:1). Furthermore, in the same monograph, the diluting solution for sample solution in the Dissolution Test 1 is methanol and water (1:1), while the preparation of standard solution is described as acetonitrile, methanol and water. The problem lies on that sample solution in the compendium contains only one organic solvent (acetonitrile), while the standard solution contains two organic solvents (methanol and acetonitrile). Because of so, we kept the diluent between sample solution and standard solution the same, acetonitrile and water in 9:1. The dissolution medium of this project contained no emulsifying agent or organic solvent. Surfactants belong to a family of emulsifying agents [13]. Pancreatin tested in this project is a commercial grade digestive enzyme containing lipase, not an emulsifying agent. Bile juice which was not studied in the project is known to contain surfactant. The mobile phase followed the description in Glimepiride Tablets [7] also contained no emulsifying agent.

Excipients in Two Commercial Tablets

The inactive ingredients (also called as excipients) and pharmaceutical functions of Product A and Product B are listed in Table 4. Both Excipients NF and Handbook of Pharmaceutical Excipients [14] regard sodium starch glycolate as a disintegrant. They do not regard sodium starch glycolate as an emulsifying agent(s) for glimepiride. Since glimepiride powder has been proven as a practically insoluble drug in the early phase of this project. Further, the three-stage 24 h dissolution studies displayed that after glimepiride powder underwent 2 h of 0.1 N HCl (acid stage), 4 h of Buffer Stage 1 and 16 h of Buffer stage 2, it only yielded 30.8 ± 7.1% of drug release in the control group (no pancreatin added in Buffer Stage 1), and 25.9 ± 6.5% for the (pancreatin containing) experimental medium group for the same time point (Figure 5). We, thus, further asked what inactive ingredient(s) made the glimepiride of commercial tablets dissolve completely at the ends of 24-h in vitro tests (Figure 3). Emulsifying agents may be divided into carbohydrates, proteins, high molecular weight alcohols, surfactants, and solids [13]. Since none of the excipients in the two studied tablets of this project is regards as emulsifying agent (Table 3) it is fair to speculate that the increase in glimepiride solubility was due to the presence of disintegrants added during tablet manufacturing. Product A contains two disintegrants (sodium starch glycolate and microcrystalline cellulose), while Product B contains one disintegrant (sodium starch glycolate – grade A). There was no detectable glimepiride dissolved during the 4-h Acid Stage window (Figures 4a to 4d). Figure 5 further displayed that the solubility of 2 mg Product A without pancreatin incremented from 0% to 17.6 ± 1.0%, and 4 mg Product A without pancreatin incremented from 0% to 37.4 ± 8.9% during the 4-h Buffer Stage 1 window (from 4 h to 8 h in pH 6.4). The highest dissolution rate occurred between 8 h to 9 h which was one hour after pH was adjusted to Buffer Stage 2 (from pH 6.4 to pH 7.4). For the 4-mg control groups, Product A was from 17.6 ± 1.0% to 89.8 ± 2.3%, and Product B was from 17.4 ± 1.8% to 90.5 ± 3.6%. However, from 8 h to 9 h in pancreatin-containing group was lower than the control groups of the same product and same strength (Figure 4). For the 4-mg with pancreatin group, Product A was from 19.4 ± 1.0% to 77.3 ± 19.3%, and Product B was from 23.0 ± 6.7% to 66.9 ± 20.8%. The glimepiride dissolution was further increased from 9 h to 24 h in the control group without pancreatin (Figure 4 blue curves). In the pancreatin-containing group glimepiride also dissolved from 9 h to 22 h, but declined between 22 h to 24 h (Figure 4 orange curves). This in vitro prediction possibly differs from in vivo outcomes in three aspects. First, in vitro dissolution stirring rate was set at 75 rpm for the entire 24 h to simulate the fed state, while in vivo bowel peristalsis is slower than 75 rpm, but has a longer duration than 24 h (up to 48 h to 72 h from the stomach to the colon depending on the diet and fat composition in food) prior to the elimination of the indigestible food residues. Second, in the in vivo condition, in addition to the endogenic bile salt released from the gall bladder, emulsifying agents may come from vegetable hydrocolloids and animal derivatives, such as lecithin and cholesterol. This in vitro project did not add any emulsifying agent into any of the three dissolution stage. Neither did Glimepiride Dissolution in USP-NF and FDA Database suggest so. The main aim was to explore how pancreatin in dissolution medium affects a highly lipophilic drug. Third, population variation (gender, sex, age) plus social, psychologic, and economic behaviors are not easy to simulate correctly in an in vitro study.

Table 4: Excipients of the Products A and B

Function

Product A

Product B

Glimepiride API

2 mg

4 mg

2 mg

4 mg

Lactose (Hydrous) Binder, Diluent

Lactose Monohydrate Binder, Diluent

Sodium Starch Glycolate Disintegrant

Sodium Starch Glycolate (Type A Potato) Disintegrant

Povidone Binder

Microcrystalline Cellulose Diluent, Disintegrant

Magnesium Stearate Lubricant

Ferric Oxide Yellow Coloring Agent

FD&C Blue #2 Aluminum Lake Coloring Agent

Specific Binding and Non-specific Binding

Glimepiride is a lipophilic, small molecule chemical compound, not a lipid. The lipase enzyme as a part of pancreatin mixture. Since glimepiride is not a lipid, we do not expect the lipase in pancreatin may digest it, but the data showed that glimepiride in the dissolution medium containing pancreatin decreased from 22 h to 24 h. Judging from the data, pancreatin is speculated to function as a carrier molecule for glimepiride (substrate) to adsorb on its surface starting from the time that pancreatin (a digestive enzyme, a protein) was added in Buffer Stage 1. Such an enzymatic binding is non-specific and substrate (glimepiride) concentration dependent (Figure 3). When the binding is not specific, glimepiride may leave the pancreatin binding site and return to bind in the intestinal lumen during the process of transition down from the stomach into the intestine just like albumin functions as a nonspecific binding carrier for lipophilic drugs in the circulation. As to how many binding sites a pancreatin molecule has, and which is a strong binding site or weak binding site will need to be further investigated by isotope-labeled binding assays or other technology, such as simulation. Data indicated that the nonspecific binding occurs between pancreatin and glimepiride supported by the lower dissolution profile in the pancreatin containing medium group, especially at 9 h sample. If possible, we recommend (1) add another dissolution sampling point between 9 h to 22 h; (2) evaluate whether the nonspecific binding is substrate concentration dependent; and (3) determine whether the decrease of glimepiride percent from 22 h to 24 h is caused by digestion or by hydrolysis degradation at pH 7.4.

Checking the Wavelengths of Potential Glimepiride Degradants

After UV spectrophotometric wavelength scans of 24-h glimepiride tablet dissolution medium containing pancreatin showed absorbance at 235 nm and 240 nm in addition to the drug (glimepiride) absorbance at 228 nm, endeavors to further explore these two absorbance were made. USP Reference Standards Catalog, as well as Glimepiride monography, was consulted first. There are glimepiride-related compounds A, B, C, and D. Compound A is a glimepiride cis-isomer. Compound B is glimepiride sulfonamide. Compound C is glimepiride urethane. Compound D is a glimepiride 3-isomer. To find out whether these compounds are related to the peaks seen in 235 nm and 240 nm, more studies may be conducted to investigate whether any of these four compounds are related to the compounds whose peaks were seen at 235 nm and 240 nm.

Project End Points of FDA Similarity Factor f2 Values

Dissolution profiles may be considered similar by virtue of (1) overall profile similarity, and (2) similarity at every dissolution sample time point. The dissolution profile comparison may be carried out using model independent or model dependent methods. [11] For model independent method, a difference factor (f1) and the more commonly used, a similarity factor (f2) may be used. Please refer to Guidance for Industry Dissolution Testing of Immediate Release Solid Oral Dosage Forms for (1) Model Independent Multivariate Confidence Region Procedure and (2) Model Dependent Approaches. Tablet 3 reported the Similarity Factor, f2 values of this project followed the conditions of the evaluation of the US FDA Similarity Factor in model independent approach. These conditions may be found in a Methods section (Section 4.4). For example, (1) zero time point was excluded, (2) time points were the same for the two products, (3) the used of mean data which the coefficient of variation were not more than 20% at early time points (up to 10 minutes) and were not more than 10% at other time points, (4) the mean percent dissolved in ≤ 15 minutes were also not ≥ 85. If the computation of f2 to follow the condition of “No more than one mean value of ≥ 85% dissolved for any of the products” instead of the computation made to the entire dissolution duration, (that is 24 h for this project), it should end at 9 h to determine the profile similarity and difference between a test product and a reference product. In this study, the first f2 comparison was Product A as the test product and Product B as the reference product (Table 3). The rationale is that by then there was one mean value of ≥ 85% dissolved for any of the products had reached. Based on 2004 USP dissolution workshop and 2019 Dissolution Similarity Workshop, dissolution is a critical tool for the evaluation of generic drug products. The Similarity Factor, f2 value is useful to reject or support waiver request. However, challenges are present [12].

Conclusion

The solubility of glimepiride is clearly pH dependent. Among the four studied medium, water, 0.1 N HCl, pH 6.4 and pH 7.4 phosphate buffers, glimepiride is practically insoluble in the first two (water and 0.1 N HCl), while is soluble in phosphate buffers. Glimepiride, the model drug, was not found decomposed when the three-stage dissolution medium contained no pancreatin, but decomposed slightly in both pure powder form as well as the studied commercial tablets from 22 h to 24 h. According to the results, the kinetics of lipophilic drugs are impacted by the release of digestive enzymes with meal consumption. This is most likely caused by the drug’s non-specific binding to substrates (pancreatin in this case). This conclusion was supported by the substantial decrease of the soluble fraction of glimepiride simultaneously during Buffer Stage 2 (pH 7.4, 8 h to 24 h) after pancreatin was added in the beginning of Buffer Stage 1 (4 h after acidic stage). We recommend that the role of pancreatin, a digestive enzyme, in the in vitro dissolution be investigated through the uses of other drug substance and formulation products.

References

  1. N’Goma JB, Amara S, Dridi K, Jannin V, Carrière F, et al. (2012) Understanding the lipid-digestion processes in the GI tract before designing lipid-based drug-delivery systems. Therapeutic Delivery 3: 105-124. [crossref]
  2. Chatterjee C, Sparks DL (2011) Hepatic Lipase, High Density Lipoproteins, and Hypertriglyceridemia. Am J Pathol 178: 1429-1433. [crossref]
  3. Chaudhari M, Sonawane R, Zawar L, Nayak S, Bari S (2012) Solubility and dissolution enhancement of poorly water soluble glimepiride by using solid dispersion technique. Int J pharmacy and pharmaceutical science 4: 534-539.
  4. Du B, Shen G, Wang D, Pang L, Chen Z, et al. (2013) Development and characterization of glimepiride nanocrystal formulation and evaluation of its pharmacokinetic in rats. Drug Delivery 20: 25-33. [crossref]
  5. Lestari M, Indrayanto G (2011) Glimpiride in Profiles of Drug Substances, Excipients and Related Methodology, Surabaya, Indonesia. Academic Press 169-204.
  6. Li H, Pan T, Cui Y, Li X, Gao J, et al. (2016) Improved oral bioavailability of poorly water-soluble glimepiride by utilizing microemulsion technique. Int J Nanomedicine 11: 3777-3788. [crossref]
  7. S. Pharmacopeial Convention 2022. USP Monographs: Mesalamine Delayed-Release Tablets; Reagents and Reference Tables > Solutions > Gastric Fluid, Simulated, TS; Intestinal Fluid, Simulated, TS; Reagents and Reference Tables > Reference Tables > Description and Solubility; and General Chapters: <711> Dissolution. In: USP43-NF38. Rockville MD: U.S. Pharmacopeia, pg: 2805, 6234, 6230, 6945.
  8. Brodkorb A, Egger L, Alminger M, Alvito P, Assunção R, Balance S, et al. (2019) INFOGEST static in vitro simulation of gastrointestinal food digestion. Nature Protocols 14: 991-1014. [crossref]
  9. Guidance for Industry Dissolution Testing of Immediate Release Solid Oral Dosage Forms.
  10. M9 Biopharmaceutics Classification SystemBased Biowaivers Guidance for Industry.
  11. Kakade A (2022) Dissolution Analyses: Comparison of Profiles Using f2 Analysis Calculation. EG Life Sciences.
  12. Shah VP, Tsong Y, Sathe P, Williams RL (2022) Dissolution Profile Comparison Using Similarity Factor, f2. Office of Pharmaceutical Science, Center for Drug Evaluation and Research, Food and Drug Administration, Rockville, MD.
  13. Shrewsbury RP (2020) Applied Pharmaceutics in Contemporary Compounding. Morton, 4th ed., pg: 198.
  14. Sheskey P, Hancock B, Moss G, Goldfarb D (2020) Handbook of Pharmaceutical Excipients. London: Pharmaceutical Press, 9th ed.

Medication Dosing and Body Weight

DOI: 10.31038/JPPR.2022535

Introduction

Patient’s weight is a crucial consideration in medication dosage since the size of the body affects the concentration of the drug in body fluids and at the site of action. Dose calculation based on body weight became standard for certain medications dosing. Dosing based on patient’s specific weight makes the drug quantity administered specific to the patient being treated. Gender, age, weight, pregnancy, albumin in blood, diet, medication type, gastrointestinal function and kidney function they  are all  factors altering drug response [1].

Measures of Weight [1]

  • Direct: Underwater weighing (hydrodensitometry), Skinfold measurement, Dual-energy x-ray absorptiometry (DEXA) and Bioelectrical impedance analysis (BIA)
  • Indirect (Table 1).

Table 1: Measures of Weight [1]

Body mass index (BMI) Ideal Body Weight (IBW) Actual body weight(ABW) Adjusted body weight

(AdjBW)

Lean body weight(

LBW)

Body Surface Area(BSA) Predicted normal weight (PNWT)
Equation: kg/m² WHO’s

 

preferred measure for classifying obesity: Pre-obesity: BMI 25–29.99 kg/m²

 

Obesity class I: BMI30–34.99 kg/m²

 

Obesity class IIBMI 35– 39.99 kg/m²

 

Obesity class III(morbid obesity) : BMI ‡40 kg/m²

Female: 45.4 kg+0.89X(Ht in cm-152.4)

 

Male: 49.9 kg+0.89X(Ht in cm-152.4

This is a patient’s real weight Called total body weight (TBW)

 

AdjBW (kg) = IBW + 0.4 (TBW – IBW)

 

 

The patient’s weight excluding fat

 

Males: LBW=(9270 xTBW) /(6680 +216 xBMI)

Females: LBW=(9270 xTBW) /(8780 +244 xBMI)

BSA (m2) = (TBW)0.425X(height in cm)0.725 X 0.007184

BSA (m2) = [(TBW) X(height in cm)/3600]½

Predict the expected normal weight of an overweight or obese individual

 

Males: PNWT(kg) = 1.57xTBW 0.0183xBMI x TBW- 10.5

 

Females: PNWT (kg) = 1.75xTBW – 0.0242x BMI x TBW – 12.6

How Does a Person’s Body Weight Affect Drug Response (Drug Distribution and Metabolism)

After a drug is absorbed into the bloodstream, it rapidly circulates through the body. The average circulation time of blood is 1 minute. As the blood recirculates, the drug moves from the bloodstream into the body’s tissues for example: fat, muscle, and brain tissue. Once absorbed, most drugs do not spread evenly throughout the body. Drugs that dissolve in water (water-soluble drugs), tend to stay within the blood and the fluid that surrounds cells .Drugs that dissolve in fat (fat-soluble drugs), tend to concentrate in fatty tissues. Other drugs concentrate mainly in only one small part of the body for example: iodine concentrates mainly in the thyroid gland; because the tissues have a special attraction for affinity and the ability to retain that drug. Factors affecting drug distribution: plasma protein binding, physicochemical properties of the medication (lipophilicity, hydrophilicity), tissue blood flow and membrane transporters. Body composition in a normal body weight and obese patients, 20% from normal body weight is adipose weight and 80% lean weight, however, 40% from obese patient weight is adipose tissue and 60% is lean weight. Hydrophilic drugs excreted by renal clearance, has low volume of distribution, low Intracellular penetration and high extracellular distribution in comparison to lipophilic drugs that are excreted by hepatic clearance has high volume of distribution, high Intracellular penetration and low extracellular distribution [2-7] (Tables 2 and 3).

Table 2: Hydrophilic and Lipophilic medications [2,4,5]

Medication Hydrophilic Lipophilic
Deferoxamine Yes No
Benzodiazepines No Yes
Tricyclic antidepressants No Yes
Aminoglycosides Yes No
Amphotericin-B No Yes
Vancomycin Yes No
Tigecycline No Yes
Rocuronium No Yes
Rifampicin No Yes
Sucrose Yes No
Atorvastatin,simvastatin No Yes
Propofol No Yes
Sufentanil No Yes
Thiopental No Yes
Rosuvastatin,pravastatin Yes No
B-lactam

Carbapenem

Cephalosporins

Penicillin

Yes No
Daptomycin Yes No
Atenolol Yes No
Thiazide diuretics No Yes
Acyclovir Yes No
Voriconazole No Yes
Low molecular weight heparin Yes No
Lithium Yes No
Fentanyl No Yes
Phenytoin No Yes
Atenolol Yes No
Sotalol Yes No
Steroids No Yes
Fluoroquinolones No Yes
Macrolides No Yes
Warfarin Yes No
Linezolid No Yes
Tetracycline No Yes
Clindamycin No Yes
Captopril, Perindopril, Lisinopril, Enalapril Yes No
Fosinopril , Ramipril No Yes

Table 3: Weight based medications [6-7]

Medication Dosing weight
Normal weight Obese
GCSF(Filgrastim) Actual body weight Actual body weight
Procainamide Ideal body weight Ideal body weight
Erythromycin Ideal body weight Ideal body weight
Phenytoin Ideal body weight LD: AdjBW

MD: IBW

Fluconazole Ideal body weight Total body weight
Thiopental Ideal body weight LD: IBW

MD: ABW

Succinylcholine Ideal body weight Total body weight
Rocuronium Ideal body weight Ideal body weight
Vecuronium Ideal body weight Ideal body weight
Propofol Total body weight Induction: IBW

Maintenance: AdjBW

Heparin Ideal body weight Adjusted body weight
Enoxaparin Ideal body weight DVT treatment: ABW
Isoniazid Ideal body weight Ideal body weight
Ethambutol Lean body weight Ideal body weight
Pyrazinamide 40-55 kg → 1000 mg once daily

56-75 kg → 1500 mg once daily

76-90 → 2000 mg once daily

Ideal body weight
Rifampin Ideal body weight Ideal body weight
Lidocaine Ideal body weight Ideal body weight
Lorazepam Ideal body weight LD: ABW

MD: IBW

Midazolam Ideal body weight Initial dose: TBW

Continuous dose: IBW

Acyclovir Ideal body weight Ideal body weight
Aminoglycosides Ideal body weight Adjusted body weight
Vancomycin Initial dose: Total body weight, then adjusted according trough concentration Adjusted body weight
Polymyxin B Ideal body weight Adjusted body weight
TMP/SMX Total body weight Adjusted body weight
Liposomal amphotericin B Total body weight Adjusted body weight
Voriconazole Total body weight Adjusted body weight
Flucytosine Ideal body weight Ideal body weight
Ganciclovir Total body weight Adjusted body weight

References

  1. Hanley, Darrell RA, David JG (2010) Effect of Obesity on the Pharmacokinetics of Drugs in Humans. Clin Pharmacokinet 49: 71-87. [crossref]
  2. John M. Benson ((2017)) Antimicrobial Pharmacokinetics and Pharmacodynamics in Older Adults. Infect Dis Clin N Am 31: 609-617.
  3. Michael Barras (2017) Dosing in Obese Adults. Aust Prescr 40: 189-193. [crossref]
  4. Reflection paper on investigations of pharmacokinetics and pharmacodynamics in the obese population EMA/CHMP/535116/2016.
  5. Kenneth JM, Sanjay G, Rudra P, Ellen SOM, Shiva G et al. (2010) Antihypertensive medications and risk of community acquired pneumonia. Journal of Hypertension 28: 401-405. [crossref]
  6. Janson B, Thursky K (2012) Dosing of antibiotics in obesity. Curr Opin Infect Dis 25: 634-649.
  7. Polso AK, Lassiter JL, Nagel JL (2014) Impact of hospital guideline for weight-based antimicrobial dosing in morbidly obese adults and comprehensive literature review. J Clin Pharm Ther 39: 584-608. [crossref]

Correction of Metabolic Imbalance and Formation of Amino Acid Pool in Cardiovascular Pathology

DOI: 10.31038/JPPR.2022524

Abstract

A review of data on the mechanisms of formation of the pool of free amino acids in cardiovascular insufficiency and methods for correcting of metabolic imbalance.
 

The relevance of studies on the role of amino acids in the pathogenesis, prevention and treatment of cardiovascular insufficiency (CVI) is primarily due to the significant practical results of the use of highly purified substances of this class of compounds and their compositions in the treatment of cardiovascular pathology [1- 7]. At the same time, the most significant number of applied research is devoted to the search for marker amino acids or their derivatives for the diagnosis of heart and vascular diseases [8-12]. It has been convincingly demonstrated that elimination or correction of changes in intermediate metabolism can be achieved by using individual amino acids and their derivatives, or by combining them as universal natural bioregulators – compounds that directly affect the mechanisms of myocardial cell metabolism in physiological concentrations To date, there is evidence of the importance of amino acids not only as building blocks for protein synthesis, but also regulators of gene expression at the level of mRNA translation by the mTOR-dependent mechanism, signaling molecules and modifiers of biological responses, as well  as precursors of a wide range of bioregulators that play a key role in integration of the main metabolic flows in vascular pathology [13- 18]. The human heart uses a large amount of free amino acids as regulators of both myocardial protein metabolism and as substrates for energy metabolism. The dependence of the myocardium on the amino acid fund of the heart increases in heart failure due to the high activity of anabolism in the myocardium and a lack of energy for cardiomyocytes. Anabolic reactions in the heart are dependent on the oxidation of fatty acids, amino acids and glucose. So, normally, the functional activity of the Krebs cycle (TCAC) largely depends on the concentration of amino acids. Free amino acids stimulate the energy of mitochondria under anaerobic conditions, and also contribute to the substrate supply of TCAC [19-22].

Essential to the availability of amino acids is that their uptake  by the myocardium depends solely on their arterial levels. The content of branched chain amino acids (BCAA – Ile, Leu, Val)  in  the myocardium is the most important activator of anabolism in the heart, the level of which does not depend on insulin. A slight increase in the concentration of “arterial” amino acids leads to a significant increase in their absorption by the myocardium. In heart failure, the arterial pool of free aromatice amino acids (AAA- Tyr, Phe), which is the determining factor in the absorption of amino acids by the myocardium. Thus, in patients with CVI, arterial levels of amino acids were reduced and associated with the severity of chronic heart failure and left ventricular dysfunction. Therefore, amino acids are now becoming more and more widely used in practice as cardioprotective substances, promoting metabolism in the heart under anaerobic conditions and hypoxia [23-27]. Comparative assessment and interpretation of changes in the pool of free amino acids at different stages of cardiovascular failure and in the dynamics of its treatment are devoted to only a few works. At the same time, the question of the informativeness of the established changes in the levels of individual amino acids and their significance in comparison with other clinical and biochemical criteria remains practically unclear. The problem   of the choice of individual amino  acids  in  the  used  “aminosols” for the targeted correction of metabolic imbalance in cardiac and vascular pathology remains unsolved. The importance of amino acids in the regulation of the functions of pathological conditions (vasoaterogenesis, arterial thrombosis) of the cardiovascular system has been convincingly established in a number of studies. The decrease in plasma lipid levels under the action of glycine and its derivatives, the positive effect of cystine and aspartate in patients with hyperlipidemia, the hypolipidemic effect of arginine, characterized by a decrease in LDL low density lipids levels and an increase in HDL (high density lipids levels) in plasma, has been repeatedly described [28]. High  concentrations  of  amino  acids  and  their  derivatives  in platelets have  been  demonstrated,  upon  activation  of  which  the agonist binds to a specific receptor to form a complex, thereby transmitting an energy signal to the cell that activates phosphatase and mobilizes ionized calcium from the dense tubular system. A study of the amino acid sequences of glycoprotein receptor polypeptides that specifically bind hemocoagulation substrates has shown the ability to inhibit platelet aggregation, adhesion, and thrombus formation with synthetic and natural (snake venom) polypeptides containing arginine, glycine, valine and asparagine [29]. The role of free amino acids in the processes of tissue ischemia tolerance and post-ischemic recovery deserves special attention. The protective effect of BCAA in the myocardium is manifested in maintaining contractility, levels of macroergs (ATP, creatinine phosphate), normalization of aortic and coronary blood flow, cardiac output and cardiac input. BCAA activate the production of catabolites of the adenine system during postischemic reperfusion and the utilization of administered amino acids to high-energy substrates of TCAC and promotes the restoration of the functional capabilities of smooth muscle structures [30].

It is well known that the heart is “metabolically omnivorous” because it is able to actively oxidize fatty acids, glucose, ketone bodies, pyruvate, lactate, amino acids, and even its structural proteins (in decreasing order of preference). The energy of these substrates provides not only mechanical contraction,  but  also  the  operation of various transmembrane pumps and transporters required to maintain ion homeostasis, electrical activity, metabolism, and myocardial catabolism. Cardiac ischemia and the resulting coronary and heart failure alter both the electrical and metabolic activity of  the myocardium. The effects of ischemia on metabolic preference  for substrates are poorly understood, although hypoxia during ischemia significantly alters the relative selectivity of the heart in  the use of different substrates. Metabolic changes in case of heart rhythm disturbances are the main component of cardiac myopathies. At the same time, the potential contribution of amino acids to the maintenance of cardiac electrical conduction and stability during ischemia is underestimated. Despite clear evidence that amino acids have a cardioprotective effect in ischemia and other cardiac disorders, their role in the metabolism of the ischemic heart has not yet been fully elucidated [30-32]. Studies on the determination of taurine and a number of amino acids prevailing in the myocardium (glutamate, aspartate, glutamine and asparagine) in coronary insufficiency showed their differences in content in the left and right ventricles    in coronary insufficiency. Comparison of the levels of these amino acids in aortic stenosis and coronary heart disease in myocardial biopsies showed higher concentrations of taurine in the left ventricle in both situations [33]. With pronounced, progressive cardiosclerosis in the myocardium of rabbits, the content of phenylalanine and tyrosine increased, which was also found in patients with coronary heart disease, and the degree of increase in the level of amino acids varied depending on the clinical forms of coronary atherosclerosis (angina pectoris of various functional classes, myocardial infarction). The antiatherogenic properties of the derivative of sulfur-containing amino acids taurine (Tau) are due to the fact that the synthesis of taurocholates promotes the absorption of lipids, lipolysis, and the absorption of fatty acids in the intestine. On the other hand, the conjugation of taurine with bile acids affects the elimination of cholesterol from the body and thereby controls cholesterogenesis in atherosclerosis [34]. It is possible that the high level of taurocholates in some mammalian species (rats) makes it difficult to model experimental atherosclerosis, because the exchange rate of bile acids is increased due to the formation of choliltaurine.

Sulfur containing amino acids (SAA) are recognized as one of the most potent lipid metabolism modulators among the amino acids. SAA has been shown to act on HDL (high density lipoprotein) cholesterol levels and reduce LDL (low density lipoprotein) lipoprotein. So, SAA have some beneficial effects in atherosclerosis and related diseases (metabolic syndrome) [35]. The relative availability of SAA, as well as their amount in dietary proteins, determine lipid metabolism. Although it is not completely clear how SAAs affect gene expression and lipid metabolism at the molecular level, it has been shown that SAAs affect metabolism through the activation of transcription and post-translational modification of a number of regulatory proteins [36]. Amino acids arginine and glycine induce a decrease, lysine  and BCAA an increase in serum cholesterol levels. It has been hypothesized that the control of cholesterol by insulin and glucagon is regulated by dietary and endogenous amino acids. So the insulin/ glucagon ratio has been proposed as an early metabolic index of the effect of dietary proteins on serum cholesterol levels, a risk factor and a general mechanism by  which  nutritional  factors  influence the development of atherosclerosis and cardiovascular disease [28- 40]. Recently, new evidence has been obtained for the participation of amino acids in the pathogenesis of CVF. For example, glutamate and aspartate are components of the malate/aspartate shunt  and  their concentrations control the rate of mitochondrial oxidation of glycolytic NADH. Glutamate also controls the rate of urea synthesis, not only as a precursor of ammonia and aspartate, but as a substrate for the synthesis of N-acetylglutamate, an essential activator of carbamoyl phosphate synthase. This mechanism makes it possible to regulate the synthesis of urea at a relatively constant concentration [37]. Certain amino acids (leucine) stimulate protein synthesis and inhibit autophagic protein degradation regardless of changes in cell volume, since they stimulate mTOR  and protein kinase, which is  one of the components of insulin signal transduction. In the case of low energy supply to cells, stimulation of mTOR with amino acids is inhibited by activation of cAMP-dependent protein kinase. Amino acid-dependent signaling also promotes β-cell insulin production. This stimulates the anabolic action of amino acids [38].

In relation  to coronary heart disease, a special role is played by disturbances in the formation of methionine, leading to the accumulation of its precursor, homocysteine, in the  blood  and  urine. Examination and treatment of patients with homocysteinuria revealed early and active development of atherosclerosis in young patients: hyperhomocyst(e)inemia is a significant risk factor for the development of atherosclerosis and coronary heart disease. Clinical studies have revealed a significant effect of methionine on the proliferation of smooth muscle cells, followed by vascular endothelial dysfunction and the development of arterial hypertension with a high risk of thrombosis. Lysine is involved in the formation of collagen, strengthening the vascular wall, in the formation of carnitine, promotes the utilization of fatty acids for the energy potential of cells and the preservation of the body’s immune reactivity. When the walls of the arteries rupture, collagen filaments, connected to each other by lysine, separate and protrude into the lumen of the vessels, like the remains of lysine, and are washed by circulating blood. Lipoprotein A, a specific form of cholesterol present in the bloodstream, has receptors for lysine, binds to it and penetrates into the intima of the vessels, thus triggering the generation of hydrogen peroxide and superoxide radicals [39]. Arginine, a semi-essential amino acid, serves as a precursor of nitric oxide, which affects platelet aggregation and adhesion, decreasing the ability to thrombus formation and decreasing vascular reactivity of atherosclerotic arteries and promotes collagen formation in the vessel walls [24]. In the blood plasma of patients with endothelial disruption in atherosclerosis, the levels of citrate, GABA, glutamate and cysteine were significantly different in comparison with myocardial ischemia in the content of glutamate and phenylalanine. On this basis, a differential diagnosis of aortic injury with ischemic heart disease is considered possible. Arginine is widely used as an antihypertensive drug and prophylactic drug [40]. The development and progression of atherosclerosis, which ultimately leads to cardiovascular disease, is causally related to hypercholesterolemia. Mechanistically, the interaction between lipids and the immune system during the progression of atherosclerotic plaques contributes to the chronic inflammation seen in the artery wall during atherosclerosis. Localized inflammation and increased cell-cell communication can affect the polarization and proliferation of immune cells through changes in amino acid metabolism. In particular, the amino acids L-arginine (Arg), L-homoarginine (hArg), and L-tryptophan (Trp) have been extensively studied in the context of cardiovascular disease and have been shown to act as key regulators of vascular homeostasis, similar to the functions of immune cells. Cyclic effects between endothelial cells, innate and adaptive immune cells occur when the metabolism of Arg, hArg and Trp changes, which has a significant effect on the development of atherosclerosis. Thus, the metabolism and biological functions of Arg, L-homoarginine, and Trp make it possible to reasonably use them for the therapy of atherosclerosis [41,42]. It has been proven that free amino acids, especially BCAAs, have significant regulatory functions in the processes of protein synthesis. Thus, recent studies have shown that BCAA protect the cardiovascular system from the metabolic consequences of ischemia/reperfusion (I/R). The authors investigated the signaling pathways and functions of mitochondria, as well as the levels of BCAAs that influence the listed processes [30]. Thus, the in vivo I/R damage model was tested in controls, mTOR +/+ and mTOR +/-. The mice received BCAA, rapamycin, or BCAA + rapamycin. In addition, isolated cardiomyocytes were subjected to modeling ischemia with a quantitative assessment of their death. The degree of mitochondrial swelling was also assessed. In mice treated with BCAAs, there was a significant reduction in the size of the infarction. In addition, BCAAs prevent mitochondrial swelling, which was controlled by the addition of rapamycin. BCAAs significantly retained cell viability. Thus, BCAAs are protective against I/R myocardial injury, in which mTOR plays an important role [30].

Summary

It should be noted that the use of amino acid preparations for pathology of the heart and blood vessels is rational, and the strategy for their use should be based on the elimination of the existing amonic acid imbalance in this disease, correction of the pool of    free sulfur-containing amino acids, including the use of taurine, arginine and lysine, angio- and cardioprotective properties of which should be considered sufficiently reasonable and promising. Our proposed methodology for the development of formulations of new multicomponent infusion solutions based on amino acids and related compounds, intended for the correction of metabolic imbalance arising in cardiovascular diseases, is based on the application of    the results of studying the patterns of formation of the amino acid pool in biological fluids and human tissues with pathology of the cardiovascular system.

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fig 2

Definition, Stages, Risk Factors, Pathophysiology and Treatment of Acute Kidney Injury

DOI: 10.31038/JPPR.2022523

Abstract

Acute kidney injury is defined as any of the following (not graded): increase in serum creatinine by ≥0.3 mg/dl (≥26.5 μmol/l) within 48 hours; or increase in serum creatinine to ≥1.5 times baseline, which is known or presumed to have occurred within the prior 7 days; or urine volume <0.5 ml/kg/ hour for 6 hours. The goal of a staging system is to classify the course of a disease in a reproducible manner that supports accurate identification and prognostication and informs diagnostic or therapeutic interventions. Risk factors for acute kidney injury include environmental, socioeconomic and/  or cultural factors, as well as factors related to the process of care, acute exposures and patients themselves. Loss of kidney excretory function implies disturbances in the main function of the kidneys (maintaining homeostasis), for example, through excretion of metabolic waste products. Patients were categorized according to the treatment for acute kidney injury as follows: conservative treatment; surgical treatment; and renal replacement therapy. The use of isotonic saline as the standard of care for intravascular volume expansion to prevent or treat AKI is thus based upon the lack of clear evidence that colloids are superior for this purpose, along with some evidence that specific colloids may cause AKI, in addition to their higher costs.

Keywords

Acute kidney injury, Definition, Pathophysiology, Risk factors, Stages, Treatment

Introduction

Acute kidney injury (AKI), previously called acute renal failure, is characterized by an abrupt decline in renal function, resulting in an inability to secrete wastes and maintain electrolyte and water balance. AKI has clinical manifestations ranging from a small elevation in serum creatinine (SCr) levels to anuric renal failure. The severity of AKI is defined by Risk Injury Failure Loss End Stage (RIFLE) and Acute Kidney Injury Network (AKIN) criteria, which are based on the presence of increased SCr levels and/or a decreased urine output. The AKIN definition also emphasizes the change in SCr levels over a short period of time (within 48 h). This serious disorder may aggravate pre- existing kidney disease, thus leading to a rapid loss of renal function [1]. AKI is a broad clinical syndrome encompassing various etiologies, including pre-renal azotemia, acute tubular necrosis, acute interstitial nephritis, acute glomerular and vasculitic renal diseases, and acute post renal obstructive nephropathy. More than one of these conditions may coexist in the same patient and epidemiological evidence supports the notion that even mild, reversible AKI has important clinical consequences, including increased risk of death. AKI can thus be considered more like acute lung injury or acute coronary syndrome. Furthermore, because the manifestations and clinical consequences of AKI can be quite similar (even indistinguishable) regardless of whether the etiology is predominantly within the kidney or predominantly from outside stresses on the kidney, the syndrome of AKI encompasses both direct injury to the kidney as well as acute impairment of function [2-4]. AKI is defined as any of the following (not graded): increase in SCr by ≥0.3 mg/dl (≥26.5 μmol/l) within 48 hours; or increase in SCr to ≥1.5 times baseline, which is known or presumed to have occurred within the prior 7 days; or urine volume <0.5 ml/kg/hour (oliguria) for 6 hours. The cause of AKI should be determined whenever possible (not graded) [2]. AKI was defined as an absolute increase in SCr of at least 26.5 mmol/l (0.3 mg/dl) or a 50% or above increase in SCr from baseline according to the AKIN criteria [3]. The severity of AKI was defined by the AKIN staging criteria as follows: Stage I, SCr increase to 1.5-2 fold of baseline; Stage II, SCr increase to 2-3 fold of baseline; and Stage III, SCr increase to 3 fold of baseline or an absolute increase of 356.6 mmol/l (4.0 mg/dl) with an acute increase of at least 44.2 mmol/l (0.5 mg/dl). All patients who needed dialysis were categorized into Stage III [3]. The global burden of AKI-related mortality exceeds by far that of breast cancer, heart failure or diabetes, with mortality remaining high during the past 50 years. In general, the incidence of AKI is reported as either community-acquired or hospital-acquired AKI. In high-income countries (HIC), AKI is predominantly hospital- acquired, whereas community-acquired AKI is more common in lower-income settings. These patterns apply to both adults and children globally. In HIC overall, patients with AKI tend to be older, have multiple comorbidities, and have access to dialysis and intensive care if needed. Post-surgical or diagnostic interventions or iatrogenic factors are the main causes of AKI in HIC. However, in low-income settings, numerous community-acquired causes exist, such as sepsis, volume depletion, toxins (bites, remedies) and pregnancy [5].

Staging/Classification

The goal of a staging system is to classify the course of a disease in a reproducible manner that supports accurate identification and prognostication and informs diagnostic or therapeutic interventions. The group recognized that a number of systems for staging and classifying AKI are currently in use or have been proposed. The RIFLE (Risk, Injury, Failure, Loss, and End-stage kidney disease) criteria proposed by the ADQI group were developed by an interdisciplinary, international consensus process and are now being validated by different groups worldwide [6,7] (Table 1).

Table 1: Classification/staging system for acute kidney injury [4]

table 1
 

(a) Modified from RIFLE (Risk, Injury, Failure, Loss, and End- stage kidney disease) criteria [6]. The staging system proposed is a highly sensitive interim staging system and is based on recent data indicating that a small change in serum creatinine influences outcome. Only one criterion (creatinine or urine output) has to be fulfilled to qualify for a stage. (b) 200% to 300% increase=2- to 3-fold increase.

(c) Given wide variation in indications and timing of initiation of renal replacement therapy (RRT), individuals who receive RRT are considered to have met the criteria for stage 3 irrespective of the stage they are in at the time of RRT.

Risk Factors

Risk factors for AKI include environmental, socioeconomic and/ or cultural factors, as well as factors related to the process of care, acute exposures and patients themselves. Environmental factors include inadequate drinking and waste water systems, insufficient control of infectious diseases and insufficient health care systems. Patient-related factors can be modifiable, for example, volume depletion, hypotension, anaemia, hypoxia and use of nephrotoxic drugs, or non-modifiable, for example, chronic kidney, heart, and liver or gastrointestinal disease, diabetes and severe infections and sepsis. Rarer causes include genetic predispositions to myoglobinuria, haemoglobinuria and urolithiasis Further important risk factors for AKI are severe diseases, acute infections, sepsis, malaria, severe trauma, hypovolaemia, old age, pre- existing CKD, acute organ failures, major surgeries (including cardiac surgery), being in the ICU with exposure to nephrotoxic drugs and opportunistic infections, chemotherapy for leukaemia or cancer, delayed graft function upon kidney transplantation, autoimmune disorders with rapid progressive kidney injury, cholesterol crystal embolism and urinary tract obstruction. In  HIC,  despite  severe  AKI occurring more frequently in the context of hospital-related  risk factors, such as major surgery, bleeding, septic shock or drug toxicity in older patients with multiple diseases, milder forms of AKI can also be community-acquired. The three main causes of AKI are summarized below as: Prerenal AKI is secondary to under perfusion of otherwise normal, functioning kidneys. The hallmark of prerenal AKI is rapid reversibility. Prerenal kidney injury can result from volume depletion that is the result of hypovolaemia (haemorrhage, volume depletion, renal or extrarenal losses, fluid sequestration, renal fluid loss (over-diuresis), third space (burns, peritonitis, muscle trauma)); Impaired cardiac function (congestive heart failure, inadequate perfusion pressures secondary to heart failure, acute myocardial infarction, massive pulmonary embolism; Systemic vasodilatation (anti-hypertensive medications, gram negative bacteraemia, cirrhosis, anaphylaxis, sepsis); Increased vascular resistance (anaesthesia, surgery, hepatorenal syndrome, NSAID medications, drugs that cause renal vasoconstriction (i.e. cyclosporine)). For patients with prerenal AKI, urinalysis is typically bland or with hyaline casts, urine sodium is low (ie, 1%), and urine osmolality is high. Intrinsic AKI can be challenging to evaluate because of the wide variety of injuries that can occur to the kidney. Generally, four structures of the kidney are involved including tubules, glomeruli, the interstitium, and intra- renal blood vessels. Acute tubular necrosis (ATN) is the term used  to designate AKI resulting from damage to the tubules. It is the most common type of intrinsic kidney injury. AKI from glomerular damage occurs in severe cases of acute glomerulonephritis (GN). AKI from vascular damage occurs because injury to intra-renal vessels decreases renal perfusion and diminishes GFR and finally acute interstitial nephritis occurs due to an allergic reaction to a variety medications or an  infection.  Tubular  (renal  ischaemia  (shock,  complications  of surgery, haemorrhage, trauma, bacteraemia, pancreatitis, pregnancy), nephrotoxic drugs (antibiotics, antineoplastic drugs, contrast media, organic solvents, anaesthetic drugs, heavy metals), endogenous toxins (myoglobin, haemoglobin, uric acid); Glomerular (acute post-infectious glomerulonephritis, lupus nephritis, IgA glomerulonephritis, infective endocarditis, good pasture syndrome, wegener disease); Interstitium infections ((bacterial, viral), medications (antibiotics, diuretics, NSAIDs, and many more drugs)), Vascular (large vessels (bilateral renal artery stenosis, bilateral renal vein thrombosis), small vessels (vasculitis, malignant hypertension, atherosclerotic or thrombotic emboli, haemolytic uraemic syndrome, thrombotic thrombocytopenic purpura)). Postrenal causes of  AKI are characterized by acute obstruction to urinary flow. Urinary tract obstruction increases intratubular pressure and thus decreases GFR. In addition, acute urinary tract obstruction can lead to  impaired renal blood flow and inflammatory processes that also contribute to diminished GFR. Obstruction of the urinary tract at any level may produce AKI. In general, obstruction must involve both kidneys and a solitary kidney to produce significant renal failure. However, a patient with pre-existing renal insufficiency may develop AKI with obstruction of only one kidney. Urinary obstruction may present as anuria or intermittent urine flow (such as polyuria alternating with oliguria) but may also present as nocturia or nonoliguric AKI. Causes of postrenal AKI include benign prostatic hyperplasia and prostate cancer  in men, gynecologic cancers especially cervical cancer in women, retroperitoneal fibrosis, ureteral stones, papillary necrosis, neurogenic bladder, and intratubular obstruction due to precipitation of various substances such as acyclovir or indinavir. Extrarenal obstruction (prostate hypertrophy, improperly placed catheter, bladder, prostate or cervical cancer, retroperitoneal fibrosis), Intrarenal obstruction (nephrolithiasis, blood clots, papillary necrosis) [5,8-13] (Figure 1).

fig 1

Figure 1: Causes of AKI

Pathophysiology of Kidney Failure

Loss of kidney excretory function implies disturbances in the main function of the kidneys (maintaining homeostasis), for example, through excretion of metabolic waste products. Serum creatinine and urea nitrogen levels are often used as biomarkers of reduced kidney function, but their use skews awareness towards the kidneys’ excretory function. Fluid homeostasis is affected, as declining glomerular filtration rate (GFR) and activation of the renin angiotensin system promote fluid retention, which presents as peripheral oedema, third- space effusions, and pulmonary congestion, especially in those with heart failure. In addition, as urinary output determines potassium excretion, hyperkalaemia is a common complication of severe AKI. When hyperkalaemia leads to electrocardiogram changes, AKI constitutes a medical emergency and warrants immediate intervention. Both hyponatraemia and hypernatraemia may occur when the kidney loses the capacity for urine concentration or dilution as needed. Impaired phosphate clearance leads to hyperphosphataemia. AKI also affects acid-base homeostasis. A declining capacity for the excretion of fixed acids in patients with AKI causes tubular metabolic acidosis and respiratory compensation via an increased ventilatory drive. Although a hyperchloraemic metabolic acidosis develops initially, widening of the anion gap is often seen as the result of accumulation of phosphate, sulfate and small organic anions in the bloodstream. A decline in   the capacity to excrete metabolic waste products is indicated by azotaemia but implies disturbance of homeostasis of hundreds, if not thousands, of other metabolites that are not waste products, which all together account for symptoms of uraemia, such as fatigue, tremor or confusion. Importantly, kidney failure affects most organ systems of the body. Many of the AKI-related uraemic toxins originate from the intestinal microbiota, such as indoxyl sulfate or p-cresyl sulfate. The microbiota itself undergoes shifts in its composition, owing to AKI and the accompanying acidosis, azotaemia, intestinal ischaemia, and other alterations of the intestinal microenvironments, which affects the microbiota’s secretome and metabolites needed for normal human physiology. The lungs are affected by hyperpnoea to compensate for metabolic acidosis, hypervolaemia, cytokines, oxidative stress and cytotoxic elements of necrotic cell debris (released by parenchymal necrosis in the kidneys, causing microvascular injury, and eventually acute respiratory distress syndrome). AKI affects cardiac function via acidosis, hyperkalaemia, uraemic toxins, hypervolaemia, hypertension, and systemic inflammation46. Uraemic encephalopathy also involves systemic oxidative stress responses [5,14-20] (Figure 2).

fig 2

Figure 2: Mechanisms of acute kidney injury: a molecular viewpoint. Cascade of events involved in the pathophysiology of acute kidney injury.

Treatment of AKI

As previously noted, treatment plans for patients with AKI are varied and depend on etiologic factors. Prerenal azotemia from volume depletion is usually responsive to isotonic saline repletion. Treatment of ATN requires the discontinuation of nephrotoxic agents, maintenance of optimum hemodynamics, and  close  surveillance  for complications of renal dysfunction (eg, acidosis, electrolyte abnormalities). Postrenal etiologies dictate obstruction removal. Patients were categorized according to the treatment for AKI as follows: conservative treatment; surgical treatment; and renal replacement therapy (RRT). RRT included intermittent hemodialysis (IHD), continuous renal replacement therapy (CRRT) and peritoneal dialysis (PD). Surgical treatment included surgical removal of obstructive tumors, stones, or prostate hypertrophy. Patients without RRT and surgical treatment were included in the conservative treatment  group. Treatment included correction of the primary cause of AKI, fluid replacement therapy, and nutritional support. If AKI was due  to serious trauma, heart failure and acute hemorrhage, patients were administered normal saline to correct intravascular volume depletion. In AKI patients with severe hyperkalemia, 5-10 units of insulin and 50% dextrose were used to promote uptake of potassium into cells. Supportive therapies such as antibiotics and adequate nutrition were given according to standard management practice. All medications that could potentially affect renal function were discontinued [5,22- 25]. Delayed antibiotic administration in septic shock was associated with early AKI development. However, certain nephrotoxic agents involving in the treatment such as aminoglycosides, vancomycin particularly in combination with piperacillin-tazobactam, and amphotericin B, as well as diagnostic agents such as intravenous radiocontrast media should be used with caution to prevent kidney injury according to the KDIGO AKI guidelines. Strict therapeutic drug monitoring should be considered when applicable [26,27].

Fluids Resuscitation

Fluid resuscitation followed by vasopressor medications is cornerstones in the treatment of shock. Hydroxyethylstarch (HES) is a widely used, relatively inexpensive alternative to human albumin for correcting hypovolemia. The use of isotonic saline as the standard of care for intravascular volume expansion to prevent or treat AKI is thus based upon the lack of clear evidence that colloids are superior for this purpose, along with some evidence that specific colloids may cause AKI, in addition to their higher costs. It is acknowledged that colloids may be chosen in some patients to aid in reaching resuscitation goals, or to avoid excessive fluid administration in patients requiring large volume resuscitation, or in specific patient subsets (for example, a cirrhotic patient with spontaneous peritonitis, or in burns). Similarly, although hypotonic or hypertonic crystalloids may be used in specific clinical scenarios, the choice of crystalloid with altered tonicity is generally dictated by goals other than intravascular volume expansion (for example, hypernatremia or hyponatremia). In addition, isotonic saline solution contains 154 mmol/l chloride and when administration in large volumes will result in relative or absolute hyperchloremia. All intravenous fluids can contribute to adverse renal and patient outcomes by fluid overload and renal edema. Fluids containing non- physiologic ratios of sodium and chloride may worsen AKI. Balanced electrolyte solutions, such as lactated Ringer’s solution, are preferable in most patients [2]. Albumin solutions have generally been found to be safe in sepsis resuscitation; however, evidence that hyperoncotic albumin might deteriorate AKI and ICU outcomes is growing [28,29].

Vasopressors

Norepinephrine is recommended as an agent of choice for septic shock treatment. Dopamine is not recommended for renal protection and is associated with more adverse events than norepinephrine is. Vasopressin does not appear to increase AKI risk [30-32].

Human recombinant alkaline phosphatase (AP) is an  endogenous enzyme that confers renal protection during sepsis via the dephosphorylation of various compounds, including bacterial endotoxins and proinflammatory mediators such as extracellular adenosine triphosphate, which is released by mitochondria in response to inflammation and hypoxia. Intravenous infusion of AP (bolus injection followed by continuous infusion for 48 hours or placebo) starting within 48 hours of AKI onset and showed improvement of endogenous creatinine clearance, requirement for and duration of dialysis, decreased urinary biomarkers of renal injury (KIM-1 and interleukin-18), and inflammatory biomarkers from baseline to day 28 in patients receiving AP. Human recombinant AP is a highly stable, biologically active enzyme [32,33].

Angiotensin II (ATII) is potent vasoconstrictor acting via angiotensin II type 1 receptors and appears to cause vasoconstriction of efferent more than afferent arterioles, resulting in increasing glomerular perfusion pressure and filtration rate. Sepsis leads to relative scarcity of ATII. In addition, ATII is a potent vasopressor without inotropic or chronotropic properties. Unlike norepinephrine, ATII may preserve medullary perfusion and oxygenation [34].

Diuretics

Loop diuretics (especially furosemide) have long been prescribed in the acute-care setting, and a number of RCTs have tested whether furosemide is beneficial for prevention or treatment of AKI. Specifically, prophylactic furosemide was found to be ineffective   or harmful when used to prevent AKI after cardiac surgery, and to increase the risk of AKI when given to prevent contrast-induced AKI. Furosemide may be useful in achieving fluid balance to facilitate mechanical ventilation according to the lung-protective ventilation strategy in hemodynamically stable patients with acute lung injury. Mannitol is often added to the priming fluid of the cardiopulmonary bypass system to reduce the incidence of renal dysfunction, but the results of these studies are not very convincing. Mannitol is beneficial in rhabdomyolysis by stimulating osmotic diuresis and by lowering the intracompartmental pressure in the affected crushed limbs [35,36].

Deferoxamine

A key early feature of AKI is the generation of reactive oxygen species. The iron chelator deferoxamine is a widely known free radical scavenger. In several models of AKI, deferoxamine was proved effective. The protective effect of deferoxamine in various models suggests the central role of free radicals in AKI. Studies in AKI are planned to test the efficacy of iron chelation [21].

Vasodilator Therapy: Dopamine, Fenoldopam, and Natriuretic Peptides

There is also limited evidence that the use of dopamine to prevent or treat AKI causes harm. Dopamine can trigger tachyarrhythmias and myocardial ischemia, decrease intestinal blood flow, cause hypopituitarism, and suppress T-cell function.  Fenoldopam mesylate is a pure dopamine type-1 receptor agonist that  has  similar hemodynamic renal effects as low-dose dopamine, without systemic αadrenergic or β-adrenergic stimulation. The guideline recommendation against using fenoldopam places a high value on avoiding potential hypotension and harm associated with the use of this vasodilator in high-risk perioperative and ICU patients, and a low value on potential benefit, which is currently only suggested by relatively low-quality single-center trials. Nesiritide (b-type natriuretic peptide) is the latest natriuretic peptide introduced for clinical use, and is approved by the US Food and Drug Administration only for the therapy of acute, decompensated congestive heart failure [37-39].

Caspase Inhibitors

Caspases are a family of proteases that are involved in the initiation and execution phase of apoptosis. Nonselective and selective caspase inhibitors are effective in attenuating renal injury in ischemia- or endotoxemia-induced AKI when administered before or at the time of injury [40].

Minocycline

Minocycline are second-generation  tetracycline  antibiotics  with proven human safety data. Minocycline is known to have antiapoptotic and anti-inflammatory effects. When administered 36 h before renal ischemia, minocycline reduced tubular cell apoptosis and mitochondrial release of cytochrome c, p53, and bax [41].

Ethyl Pyruvate

Pyruvate has been known as a potent endogenous antioxidant and free radical scavenger.In addition to an effect on mortality, ethyl pyruvate reduced kidney injury using the technique cecal ligation puncture as a model of sepsis. Ethyl pyruvate is a widely used food additive and has been shown to be safe in phase I clinical trials. It now is being tested in a phase II trial in patients who undergo cardiopulmonary bypass surgery [42].

Activated Protein C

Activated protein C (APC) is a physiologic anticoagulant that is generated by thrombin-thrombomodulin complex in endothelial cells. In addition to its effect on coagulation, APC has been shown to have anti-inflammatory, antiapoptotic effects. APC also attenuated renal IRI by inhibiting leukocyte activation. APC is approved by the Food and Drug Administration for treating patients who have severe sepsis and an Acute Physiology, Age, Chronic Health Evaluation (APACHE) score of 25 or higher [43].

Insulin

Insulin resistance and hyperglycemia are common in critically  ill patients, and intensive insulin therapy that targeted blood glucose level between 80 and 110 mg/dl reduced the incidence of AKI that required dialysis or hemofiltration [21,44].

Conclusion

Acute kidney injury (AKI), previously called acute renal failure, is characterized by an abrupt decline in renal function, resulting      in an inability to secrete wastes and maintain electrolyte and water balance. The severity of AKI was defined by the AKIN staging criteria as follows: Stage I, SCr increase to 1.5-2 fold of baseline; Stage II, SCr increase to 2-3 fold of baseline; and Stage III, SCr increase to 3 fold of baseline or an absolute increase of 356.6 mmol/l (4.0 mg/dl) with an acute increase of at least 44.2 mmol/l (0.5 mg/dl). Patient-related factors can be modifiable, for example, volume depletion, hypotension, anaemia, hypoxia and use of nephrotoxic drugs, or non-modifiable, for example, chronic kidney, heart, and liver or gastrointestinal disease, diabetes and severe infections and sepsis. Fluid homeostasis is affected, as declining glomerular filtration rate (GFR) and activation of the renin angiotensin system promote fluid retention, which presents as peripheral oedema, third-space effusions, and pulmonary congestion, especially in those with heart failure. In addition, as urinary output  determines  potassium  excretion,  hyperkalaemia  is a common complication of severe AKI. Hypotonic or hypertonic crystalloids may be used in specific clinical scenarios; the choice of crystalloid with altered tonicity is generally dictated by goals other than intravascular volume expansion (for example, hypernatremia   or hyponatremia). In addition, isotonic saline solution contains 154 mmol/l chloride and when administration in large volumes will result in relative or absolute hyperchloremia.

Abbreviations

AKI: Acute Kidney Injury; AKIN: Acute Kidney Injury Network; GFR: Glomerular Filtration Rate; HIC: High-Income Countries; ICU: Intensive Care Unit; RRT: Renal Replacement Therapy; RIFLE: Risk Injury Failure Loss End Stage; Scr: Serum Creatinine

Acknowledgments

The author would be grateful to anonymous reviewers by the comments that increase the quality of this manuscript.

Data Sources

Sources searched include Google Scholar, Research Gate, PubMed, NCBI, NDSS, PMID, PMCID, Scopus database, Science direct, Scielo and Cochrane database. Search terms included: definition, stages, risk factors, pathophysiology and treatment of acute kidney injury.

Funding

None

Availability of Data and Materials

The datasets generated during the current study are available with correspondent author.

Competing Interests

The author has no financial or proprietary interest in any of material discussed in this article.

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Hormone Replacement Therapy Treatment for Depression in Perimenopausal Women

DOI: 10.31038/JPPR.2022522

 

The National Institute of Mental Health (2018) defines depression as a “serious mood disorder that causes severe symptoms that affect how individuals feel, think, and handle daily activities, such as eating, sleeping, working (p.1).” Many signs and symptoms accompany depression, such as persistent sad and anxious behavior, irritability, feelings of worthlessness or hopelessness, decreased energy and fatigue, feeling restless or inability to sit still, and difficulty sleeping, to name a few [1]. Depression costs about 210 billion dollars a    year in America [2]. Perimenopausal women are at an increased   risk for depression due to various factors such as menopause itself, obesity, heart disease, and diabetes. That leads to the initial question surrounding this project: among perimenopausal women, is hormone therapy is effective in treating depression than antidepressant medications. Obtaining information about hormone therapy treatment in conjunction with the CES-D depression screening tool will allow providers to appropriately treat and assess perimenopausal women for depression [2].

Perimenopause

Perimenopause is defined as the final years of a woman’s reproductive life and begins at the first onset of menstrual irregularity and ends after one year of amenorrhea with an  age range is approximately 44-54 years old [3,4]. There are two stages  of perimenopause: early and late transition. Early transition women typically experience hot flashes, poor sleep, depression, and increased anxiety [3]. One-third of perimenopausal women exhibit different depression side effects during the transition periods of perimenopause that can lead to depression, such as hot flashes, sleep changes, vaginal dryness, and adverse moods; these symptoms worsen in the late stages in perimenopause and will not subside without treatment [3]. A decrease in serotonin does not cause perimenopausal depression; low estradiol is the contributing factor [4]. The lack of estrogen contributes to degeneration of ovarian function, sweating, insomnia, palpitations, mood swings, fatigue, headache, anxiety, and depression [4]. Therefore, hormone therapy is the treatment of choice for perimenopausal women [4].

Depression Management and Screening

Standard of Care

The  current  standard  of  care  for  individuals  between  12 and 65  is  screening  and treatment  with  the  PHQ-9  depression  scale and medication selective serotonin reuptake inhibitor (SSRI)  [1]. The criteria for depression diagnosis and treatment is as follows: 1) depression symptoms must be present for most of the day or nearly every day for at least two weeks; 2) depression screening will be conducted with the Patient Health Questionnaire-9, (PHQ-9); 3) determine patients score of depression with a scoring range of zero to three per item, a score ≥10 indicates depression; 4) treatment with an SSRI medication; 5) follow up in four weeks [1,5]. SSRI signs and symptoms include sleep disturbances, gastrointestinal upset, concentration problems, and a range of moods throughout the tapering process [1]. It is frowned upon to stop these medications due to withdrawal symptoms, and the patient must be followed closely by a health care provider [1]. Treatment of depression should be individualized and tailored specifically to the patient, or remedy will not be effective.

Hormone Replacement Therapy

Hormone replacement therapy in perimenopausal  women  is  more effective than SSRI medications because these women have degeneration of ovarian function and reduced estrogen levels [4]. Hormone therapy addresses low estrogen levels that cause depression [6]. Symptoms of low estrogen levels are poor mood, impaired sleep, and poor response to stress [6]. Hormone replacement therapy comes in different forms, such as Transdermal Estradiol, Raloxifene, and Tibolone [7,8]. Transdermal Estradiol, Raloxifene, and Tibolone share the side effects of an increased risk of endometrial cancer, heart attack, stroke, and blood clots [9]. Due to these adverse side effects, a thorough past medical history and frequent follow-up are necessary for women before treatment is started. Depending on the obtained brand, the Transdermal Estradiol Patch can be applied once or twice a week [9]. The patch is worn daily for a month, or it can be rotated on a schedule for three weeks with one week off [9]. It is recommended to obtain serum estradiol levels and appropriately screen with a reliable depression screening tool before treatment. Gordon [6]. CES-D. The Center for Epidemiologic Studies Depression Scale, CES-D, is a 20-question questionnaire rating each question on a scale of one to four; a score >16 is considered at risk for depression [10]. Many studies show that the CES-D scale is more effective in diagnosing perimenopausal depression [6,8,11]. In addition, the CES-D scale considers the interpersonal factor, which resonates positively with patients, and patients feel as though they are being assessed more efficiently [5].

Barriers to Depression Treatment

One barrier to depression treatment for perimenopausal women is human error.  Estradiol patches (n=6) contributed to four out of   46 reports of human error application (ISMP, 2021). Human errors come from applying and removing old and new patches (ISMP, 2021). Patients lack awareness of the patch on the skin, causing dosage errors and incomplete treatment (ISMP, 2021). Within the Odyssey House, to prevent human errors, a daily check of the removal and  the application of the Estradiol patch will need to be conducted at morning and night medication pass and charted in Kareo. Another barrier to the treatment of depression with hormone therapy is changing the mindset of healthcare providers from the standard of care, SSRI medication, to the Estradiol Transdermal patch. This barrier decreases the ability to implement new ways of thinking and reduces new forms of treatment coming into practice. To break this barrier, proper education and statistical data of success will need to be provided to allow this study to be successful [12].

Theories in Practice

Due to healthcare constantly changing due to advancements in medicine and technology, new treatments and education are available to help healthcare providers treat and diagnose their patients. It can be daunting to adopt new knowledge, implement a new treatment,  or even implement a new diagnostic tool into practice. However, adapting to new methods of diagnosing and treating patients is a practice that health care providers need to be implementing to provide more effective outcomes for their patients. Two main theories can help with education implementation: Carper’s Knowing and Behavioral Theory. These two theories will help shape how healthcare providers think and change their practices.

Carpers Way of Knowing

Carper’s Way of Knowing is a theory introduced by Barbra Carper in 1978 [13]. Four different types of knowledge are highlighted in this theory: empirical, aesthetic, ethical, and self-knowledge [13]. These four ways of knowing were initially presented as nursing education but can be used to provide a well-rounded way to shape and condition healthcare practice [13]. Each different section of knowing acts as a guide for healthcare providers to modify and grow their practice. Empirical knowing is a way to incorporate reading, listening, observations, and research into practice [13]. Aesthetic knowing includes interpreting input into one’s mind, exploring a healthcare provider’s current practices with patients, sharing with colleagues, and implementing and interpreting previous actions with other cultures and patients [13]. Ethical knowing is implementing ethical situations into practice and analyzing what they can offer patients and future patients [13]. Lastly, self-knowledge takes in the personal experiences of values, spirituality, and accepting uncertainty [13]. These four ways of knowing shaped how Carper introduced learning to the nursing community [13].

Behavioral Theory

John B. Watson brought about Behavioral Theory in 1913,  which implies that all behaviors are acquired by conditioning an individual [14]. When individuals learn something new, this theory proposes that an individual can learn and change behavior with the proper conditioning [14]. Watson’s theory suggests two types of Conditioning: Classical and Operant  [15].  Classical  Conditioning is when a stimulus allows an individual to produce a behavior or trigger an action such as an addiction to alcohol; just the smell can bring back feelings and desire to drink once more [15]. This theory can be related to Ivan Pavlov and using a bell to stimulate the dog’s reactions [15]. Operant Conditioning links consequence and behavior [14]. The effects can be positive or negative, with the right action producing a positive reinforcement and a lousy behavior having a negative result [14]. Operant conditioning links B. F. Skinner and his rats. These theories can be applied when individuals learn something new and implement it into their everyday practice. Behavioral Theory implementation tries to change the way of thinking of an individual or group. Unfortunately, healthcare providers tend to be reluctant when changing their practices unless given positive reinforcement for the change. Positive reinforcement in healthcare is happy patients, proper treatment, or immediate quality care provided in their approach [14]. Therefore, utilizing behavior theory to capitalize on this positive feedback is paramount to helping smooth introducing any new practices or methods to the healthcare field [14,15].

Framework

Proper presentation and rational thinking are two ways healthcare providers can be educated to change their behaviors [12]. When submitting a new type of education in a healthcare setting, it is imperative to present knowledge so that the audience receiving the information will enjoy and relate to it [12]. If the audience does not like the presentation or connect, they can reject the information and not continue practice implementation [12]. Carpers’ way of knowing adds a different framework for this project. Aesthetic and Empirical knowing will be implemented in this project when a healthcare provider assesses, listens, observes, and completes research [13]. Implementing these two ways of knowing will allow for significant progress in healthcare providers’ treatment and diagnosis approaches. Behavior Theory allows physicians to see results that have been applied to other practices and begins the operant conditioning of using a complementary treatment to produce a positive outcome [14]. Implementing a new diagnostic tool and treatment options can be intimidating and time-consuming. However, providing better treatments to patients and updated screening tools for depression will help implement positive reinforcement to change patient outcomes. Using the Carpers Way of Knowing and  Behavior  Theory  will allow healthcare providers to see positive results caused by positive reinforcement before their implementation.  Education  provided  will catch the healthcare providers’ attention and make them feel as though they will be successful in their practice. Good examples of appropriate knowledge will allow healthcare providers to change their thought processes and then change their medical practice. However, change can take time, and provider buy-in is essential [12].

Contributions to Practice

Not all diagnoses of depression need medications to subside its side effects. Being treated for depression appropriately can change a patient’s life [4]. Depression is a very complex disease, and diagnosis that may require different treatments because patients respond to treatment differently [4]. Implementing new therapies and a new screening tool will allow perimenopausal women to be diagnosed and treated for depression appropriately.

Advanced Nursing Practice

Providing care as an advanced practice nurse requires ongoing education and adaptation. Healthcare providers must be willing to grow and adapt to the changing literature and treatment guidelines based on current evidence in the literature. Operant Conditioning    of learning allows an advanced practice nurse to see the negative  and positive effects of implementing new and  current  diagnoses and screening [14]. The education received must be appropriate and delivered correctly for the advanced practice nurse to see the positive outcome in implementation [14]. Incorporating Carper’s Way of Knowing, specifically empirical and aesthetic knowing, allows an advanced practice nurse to listen, observe, reflect, and implement new strategies [13]. Incorporating this practice enables the advanced practice nurse to remember how they take care of patients and understand the importance of continuing education. This way of thinking promotes professional growth as well as improved evidence- based care.

Literature Search

PubMed and Cumulative Index to Nursing and Allied Health Literature (CINAHL) were the databases used to complete this literature search. The following keywords were used: perimenopausal depression, perimenopausal women, depression screening tools, PHQ-9, CES-D, perimenopausal depression hormone treatment, CES-D perimenopausal women treatment, perimenopausal midlife depression education, depression education, depression medications, chronic disease, depression non-pharmacological treatments, midlife women depression, and depression statistics. The initial search yielded 35 studies. Twenty-nine articles were rejected because they did not use a depression screening tool, did not focus on perimenopausal women, did not incorporate hormone therapy compared to SSRI, and did not use any of the following scales CES, PHQ-9, or MENO-D. The remaining six studies were retained for the literature review. The studies discussed in this review are four randomized clinical trials [6- 8,11] and two cross-sectional surveys [16,17]. These studies support hormonal therapy as the recommended treatment for depression in perimenopausal women. Additionally, these studies provide evidence that supports the use of the CES-D depression screening tool for perimenopausal women.

Research Definitions

  • CES-D. A 20-question depression questionnaire rating each question on a scale of one to four, a score >16 is considered at risk for depression [10].
  • PHQ-9. A nine-question depression questionnaire with a zero to three scoring A score of > to 10 indicated depression [5].
  • MENO-D. A depression questionnaire using twelve symptoms divided into five categories with scores from zero to four. A score of ≥ to 20 indicates an individual to be at  risk for depression [7]. The five categories are Self (paranoid thinking, self-esteem, isolation, anxiety), Sexual (Sexual Interest and Low Energy), Somatic (Somatic Symptoms and Weight), Cognitive (Memory and Concentration), and Sleep (Irritability and Sleep Disturbances) [7].
  • Selective Serotonin Reuptake Inhibitor. This medication promotes the reuptake of serotonin more effectively in the brain, alleviating the symptoms of depression (NHS, 2021) [18].
  • Time in a women’s life preceding menopause (cessation of menses for at least 12 months), typically occurring during the fourth decade of life, lasting four or five years [7].
  • Depression in Perimenopausal Symptoms may include muscle pain, weight gain, low energy levels, decreased self-esteem, feelings of isolation, cognitive fogginess, and low sex drive [7].

Screening Tools for Depression

Available depression screening tools include the PHQ-9, MENO-D, and CES-D. Ps [16] conducted a cross-sectional study using the cluster sampling technique with 594 women between 40 and 60 years of age for depression using the PHQ-9. This study took place in rural Kerala, at the Govt. T.D. Medical College [16]. The results of this study were that depression prevalence was 26.09% in perimenopausal women with a PHQ-9 cut-off score of ≥ 10 [16]. This study failed to provide inter-rater reliability to determine the effectiveness of the PHQ-9 in this rural setting [16]. Using the MENO-D scale, [7] conducted a randomized control trial with 82 perimenopausal women ages 43 and 54.  In addition, women were divided into focus groups due to their symptoms of depression [7]. The MENO-D scale yielded a high-internal consistency of a cut-off point of p=0.70 [17]. However, like Ps [16], interrater reliability of the MENO-D depression scale was not provided. Additionally, the MENO-D was time-consuming, and patients grew tired during the survey and could not effectively be screened for depression [7]. Shae [17] conducted a cross-sectional study that divided 13,216 women ages 45 to 64 into three groups based on their socio- economic status, educational background, and if they were nulliparous. This study used a placebo, hormone replacement treatment, and an SSRI medication [17]. The prevalence of depression was found to be 18.4%. An initial study showed that hormone replacement therapy was effectively managed using the CES-D depression screening tool. However, with further research, Shae et al. 2020, using the CES-D scale, showed that participants had 1.45 (1.07-1.97) and 1.21 (1.02- 1.44) greater odds of having depression. Unfortunately, further data is unavailable as the study is still being conducted [6, 17] conducted a double-blind, placebo-control randomized trial at the University of North Carolina with 172 perimenopausal women from October 2010 through February 2016, with a mean age of 51 years. This study was conducted over 12 months, and the women were screened at months one, two, four, six, eight, ten, and twelve [6]. The CES-D scale was used to obtain depression scores. Interrater reliability was calculated to be statistically significant, p < 0.05 [6]. Cronbach’s alpha was not given in the study [6]. Using the CES-D, the intervention group treated with transdermal estradiol was found to have 15% higher depression scores than the control group, p=0.03. Participants that scored a score of 16 or higher upon initial assessment were a mean of 22.0 (6.5) (Gordon et al. 2018). After treatment was completed, the mean score was 4.2 (5.3) (Gordon et al. 2018). CES-D determined effective depression treatment with an n=55; p=0.005 [6]. Maki [11] demonstrated the effectiveness of the CES-D depression screening tool in perimenopausal women [11]. Four small, randomized groups of 169 women participated over a 24- week trial [11]. Interrater reliability was completed in conjunction with The North American Menopause Society (NAMS) and the National Network of Depression Centers Women and Mood Disorders Task Group (NNDC) that formed an 11-person panel to review the CES-D scale validity and effectiveness [11]. Fifty-five percent of the participants showed decreased depression symptoms using the CES-D in a pretest- posttest design [11]. In addition, Cronbach’s alpha was not stated in this study. Therefore, Maki [11] concluded that the CES-D depression screening tool is valid and reliable for this patient population.

Limitations of Screening Tools

The MENO-D scale was lengthy and time-consuming for patients to complete. As a result, patients did not prefer this scale. Reliability testing was not calculated due to incomplete scoring by the study participants [7]. The PHQ-9 patient emotions are not adequately evaluated with the PHQ-9 compared to the MENO-D and CES-D [4]. Studies using MENO-D and the PHQ-9 lacked reliability data [7,16]. The timing of screening is another limitation cited in the literature. Kulkarni [7,11] and Schmidt [8] studied their participants for a limited period of eight to 24 weeks. When screening takes place too early after treatment, the scale may not be accurate [1]. Proper screening is just as important as a patient’s treatment. Screening intervals after treatment is critical not to evaluate too soon or too late. Time is needed to see if treatment is effective. Gordon [6] and Ps [16] allowed plenty of time for treatments to work. Screening too soon leads to a false statistic of treatment failure and higher depression scores [6].

Strength of Screening Tools

Frequent screenings completed with the CES-D  depression  scale allow accurate depression symptoms [6]. For example, Shae [17] screened their patients at  every  encounter  and  determined  that the depression symptoms increased steadily over time. Gordon [6] screened their subjects every other month and determined that depression symptoms decreased appropriately over time. Frequent screening is imperative when screening for depression and determining that treatment is effective. Since no inter-reliability data was given for the PHQ-9 or MENO-D, this quality improvement project will not use these tools. Instead, the CES-D tool will be used for this project as it is practical and straightforward to complete. The evidence shows it is a reliable and valid tool in the perimenopausal population.

Depression Treatment

Depression treatment is not one size fits all; it needs to be tailored to suit the patient. SSRI therapy is the standard for depression treatment in all individuals 12 years old and up [2]. Hormonal therapy, however, is the recommended treatment for depression in perimenopausal women [2]. Various methods of hormone therapy are available for treatment, such as transdermal Estradiol, Tibolone, and Raloxifene [7,8]. The randomized control study conducted by Gordon [6] evaluated patients using transdermal estradiol vs. placebo. The study was conducted over 12 months and included 172 perimenopausal women [6]. The author’s goals were to study the effects of estradiol in perimenopausal women to see if depression was decreased. This result was procured with a pre and post-test throughout treatment at every visit. As a result, using the CES-D depression screening tool, the treatment group had a 17.3% of depression score than the placebo group, resulting in a 32.3% of depression score [6]. After treatment was completed, the mean score was 4.2 (5.3) [6]. CES-D determined effective depression treatment with an n=55; p=0.005 [6]. In contrast, Maki [11] demonstrated the effectiveness of hormone replacement therapy in depressive disorders in perimenopausal women compared to antidepressant medications: Venlafaxine, Sertraline, and Fluoxetine. Four small, randomized groups of women with a mean age of 55 participated over a 24-week trial [11]. This study concluded that after 12 months, depression scores dropped from 32.3% to 17.3%, showing the effectiveness of hormone replacement therapy compared to depression scores staying at the same for SSRI medications (p ≤ 0.10), with a pre and post-test structure [11]. Maki and Gordon [6] hormone therapy effectively treated depression. The CES-D was the tool used to measure depression in both studies. Kulkarni [7] studied the effectiveness of Transdermal Estradiol hormonal replacements compared to an SSRI/SNRI in 82 perimenopausal women. This study was conducted with a pre and post-test design [7]. The p-values for the all-item factor loadings were p < 0.05 [7]. In comparison, the seven items of somatic, weight changes, and sexual interest showed poor factor loadings of p ≤ 0.40 [7]. The five-factor model loadings (p ≤ 0.001) were significant in the areas of paranoid thinking, isolation, anxiety, resulting in highly loaded changes of p ≥ 0.70 [7]. Transdermal estradiol therapy was shown to be an excellent treatment option for perimenopausal women than an SSRI/SNRI over six to eight weeks of treatment initiation [7]. In addition, results showed that depression was decreased by 50% for perimenopausal women [7]. Schmidt [8] used a small, randomized group of perimenopausal women to determine the effectiveness of hormone replacement therapy for treating depression. The study included 62 women divided into respective groups who were given three different hormone replacement treatments, Zolpidem, or a placebo, over eight weeks [8]. The p-value for the study was p=0.34. Results continued to show that perimenopausal women treated with transdermal estradiol had depression scores improve in comparison to Rimostil (p values=0.0008, 0.0011) [8]. In addition, transdermal estradiol showed improvement of depression with a drop in depression levels pretest was 15.3%, and the post-test was 5.2% over eight weeks [8]. The treatment score means respectively for pretreatment were the following: Transdermal Estradiol – 15.3 (4.5), Raloxifene – 16.0 (3.7), Rimostil – 14.0 (2.7), and placebo – 15.2 (3.0) (Schmidt et al. 2021). Post-treatment score means were the following: Transdermal Estradiol – 5.2 (1.1), Raloxifene – 5.8(2.3), Rimostil – 11.2 (1.4), and placebo – 7.8 (1.1) [8].

Limitations

Gordon [6-8] studies did not check estradiol levels before or after treatment. Measuring estradiol levels allows researchers to track fluctuations in estradiol levels and change the treatment as needed [6]. In addition, measuring estradiol levels allows for more effective treatment outcomes, for example, helping patients see their progress with their depression symptoms. Study length hinders the effectiveness of hormone therapy treatment [6,8], which had eight weeks for their entire study, concluded that only one medication, Transdermal beta Estradiol (T.E.), was deemed effective in treating depression. However, two other medications, Rimostil and Raloxifene, did not have time  to treat depression effectively [8]. When treatment such as hormone therapy is not implemented and followed for a significant time, it can fail treatment [6]. The treatment type of hormone therapy needs time to adjust and progress [6].

Strengths

Maki [11] allowed the study to monitor therapeutic levels. In addition, obtaining these levels before treatment allowed researchers to effectively monitor estradiol increases over time and change treatment accordingly [11]. The extended length of treatment was effective in assisting researchers in determining the efficaciousness of hormone therapy [6]. For example, Gordon [6] allowed a 12-month period to pass, and Ps [11,16] allowed six months to pass during their studies to examine the treatment effectiveness [6].

Evidence-Based Practice Model

The Johns Hopkins model for Evidence-Based Practice is used to help with problem-solving and clinical decision-making by using a three-step PET process: Practice Question, Evidence, and Translation [19]. In addition, this Evidence-based practice guide allows for research organization and provides for new practices to be incorporated into patient care effectively and safely [19]. This Evidence-based practice model will be the model to guide this quality improvement project.

Methods

Plan

Design. This quality improvement project will follow a descriptive study design with a retrospective review of lab work. This design will include a pretest-posttest design incorporating scores of the CES-D in perimenopausal women before starting hormonal and after three months of hormonal treatment. In addition, subjects’ estradiol levels will be collected before treatment.

Population. Subjects will be recruited via the non-probability convenience sampling method over three months. Included subjects will be adult perimenopausal women between the ages of 40 and 60 who will be starting hormonal therapy, Transdermal Estradiol Patch. Exclusions include adult males, menopausal females, and normal estradiol levels; if patients are on an SSRI or other medication, they will need to be off the medication for four weeks before the beginning of treatment to make sure treatment is not hindered or skewed or they will be excluded [8]. The minimum sample size of 13 is based on a student t-test’s power analysis based on an alpha of 0.05, power of 0.95, and medium effect 0.20.

Setting and Resources. This project will occur at the Odyssey House Martindale Clinic in Salt Lake City, Utah. The Odyssey House is an inpatient rehabilitation center for drugs and alcohol. In addition, this establishment has a Female Mental Health house that will be used explicitly for this project. There are multiple house populations in the Odyssey House, such as families, men, women, women’s mental health, and adolescents. These individuals are separated by their comorbidities. The Female Mental Health House will be the house used for this project. This house provides rehabilitation services combined with therapy to help with alcohol and drug rehabilitation. The Odyssey House Martindale Clinic is a Family Practice Clinic with Medical Doctors (M.D.), Physician Associates (PA), and Nurse Practitioners (N.P.) overlooking the patients’ overall health in the houses. The Odyssey House Martindale Clinic routinely sees and treats patients from various houses for multiple health reasons. On average, patients have monthly routine visits, including blood work, drug testing, and treatment. Serum estradiol levels are part of the bloodwork panel.

DO Measures. Permission will be obtained from the director of nursing at Odyssey House, Erika Bunnell RN, BSN, IRB approval will be obtained from Roseman University as per academic institution policy. IRB for Odyssey House will also be obtained. Perimenopausal women will be invited to participate in this project if they meet the inclusion criteria: perimenopausal women aged 40-60, no current SSRI prescription or recently appropriately weaned, and low serum estrogen levels. Once subjects agree to be enrolled in the project, they will complete a consent form and permit their chart to be reviewed for serum estradiol levels and pre and post-CES-D scores. Subjects’ information will be kept confidential and private through Kareo, a web-based medical charting system. Kareo is a password-protected system only to be accessed by Odyssey House Martindale Clinic employees. Additionally, subjects will complete a demographic survey to include DOB, age, gender, ethnic background, economic status, and education level. Providers and Medical Assistants (MA) will be educated about the project design. The providers will obtain consent and review the CES-D scores. MAs will verify estradiol levels and pre-treatment CES-D scores are available in the chart before the start of hormonal treatment. MAs will distribute the CES-D in three months as follow-up hormonal therapy.  PI will validate the scores  by performing a weekly retrospective chart review of the primary investigator. PI will also organize the paperwork for the project for ease of distribution. An Apple iPad will be obtained from a donor. The iPad will include the survey software, Qualtrics to obtain subject consent, demographic information, and CES-D scores. Subjects will not be able to save responses until all questions are completed. This eliminates missing data. Stakeholders of this project are the director, providers, medical assistants, and the PI. In addition, an in-service will be scheduled to educate the stakeholders on proper iPad use, CES-D, and Qualtrics training, and hormonal therapy protocol: 1)   A score >16 on the CES-D scale; 2) decreased estradiol blood levels; 3) treatment with transdermal estradiol patch; 4) follow up CES-D screening three months after initiation of transdermal estradiol patch treatment [10]. The CES-D depression screening tool will be used to screen perimenopausal women in the Odyssey House for depression before starting hormonal therapy. The Odyssey House uses the PHQ- 9, and the CES-D will be substituted. The CES-D depression screening tool is a 20-question depression questionnaire rating each question on a scale of one to four a score >16 is considered at risk for depression [10]. The CES-D depression screening tool is a free tool that health care providers can use to screen perimenopausal women appropriately (Fisher, 2009). Subjects’ estradiol levels will be used before the initiation of hormonal therapy. The CES-D will be given to the subject as the pre-test, then measured again as a post-test three months after hormonal therapy starts will allow P.I. to access medical records to review lab work and CES-D scores, which will be completed weekly.

Study

Data Collection. Data will be collected over 12 weeks. Subjects will be assigned an ID number. They will enter their demographic data and CES-D pre and post responses into the iPad via Qualtrics. As per the power analysis, the minimum sample size is 13.

Statistical Analysis. SPSS software will be used for the statistical analysis. Descriptive statistics will be used to illustrate the subjects. The student t-test will analyze the CES-D pre and post-scores.

ACT

Evaluation. Dissemination of data will be reviewed with the stakeholders in a post-briefing in-service. Provider feedback will be obtained. Perimenopausal women are at high risk for depression due to their low estradiol levels [4]. For patients with a confirmed low estrogen level before the start of Estradiol Transdermal therapy, based on the reviewed literature, it is assumed the CES-D depression scores will improve in the 12-week project period. The data from the study will show why a new process needs to be implemented and how using the CES-D and hormone therapy can improve depression scores in this patient population. Therefore, it will be recommended to continue monitoring perimenopausal women with the CES-D scale before hormonal treatment. Based on the results of this project, a protocol for the Odyssey House Martindale Clinic to utilize the CES-D for perimenopausal women and continue regular depression screening throughout the hormonal treatment longitudinally. An additional PDSA cycle will be to compare the PHQ-9 data to the CES-D in perimenopausal women to verify the CES-D should be the chosen tool to use in all perimenopausal women, not just women on hormonal therapy.

Human Subject Protection. Human subject protection was maintained by the IRB consent form and privacy of the information using the password protection system, Kareo, a web-based medical charting system. Kareo is a password-protected system only to be accessed by Odyssey House employees.

Strengths and Weaknesses. Weaknesses of this project might be 1) Estradiol patch not applied correctly or falling off during treatment, and 2) not comparing CES-D and PHQ-9, since the PHQ-9 is the standard screening tool used at this facility; 3) facility not understanding the use of the CES-D; 4) no further data about the patch and comparing it to an SSRI medication. Strengths of this project might be 1) frequent assessment will show improvement in symptoms; 2) Properly treating low estrogen levels with hormonal therapy instead of implementing an SSRI/SNRI medication; 3) population bias of only using women who are perimenopausal and between the ages of 40 and 60; 4) patch is not a controlled substance and can be given throughout the project.

Conclusion

Depression screening needs to be specific for the population it is evaluating. Having the right depression screening tool is paramount in providing quality care to perimenopausal women. Proper screening leads to appropriate medical management. Based on the evidence from this literature review, the appropriate screening tool is the CES-D for this population [6,8,11]. Lack of serotonin does not cause perimenopausal women’s depression symptoms [4], whereas a lack  of estrogen is the etiology of perimenopausal depression [4]. The evidence shows that perimenopausal women’s depression is served better with hormone therapy. This quality improvement project examines depression management of perimenopausal women using hormonal therapy and the CES-D to measure depression.

References

  1. NIMH (2018). National Institute of Mental Health (NIMH).
  2. Jones HJ, Minarik PA, Gilliss CL, Lee KA (2020) Depressive symptoms associated with physical health problems in midlife women: A longitudinal Journal of Affective Disorders 263: 301-309. [crossref]
  3. Santoro N (2016) Perimenopause: from research to practice. Journal of Women’s Health 25: 332-339. [crossref]
  4. Xiao C, Mou C, Zhou X (2019) Nan fang yi ke da Xue Xue Journal of Southern Medical University 39: 998-1002.
  5. Ng CW, How CH, Ng YP (2016) Major depression in primary care: making the diagnosis. Singapore Medical Journal 57: 591-597. [crossref]
  6. Gordon JL, Rubinow DR, Eisenlohr-Moul TA, Xia K, Schmidt PJ, et (2018) Efficacy of transdermal estradiol and micronized progesterone in preventing depressive symptoms in the menopause transition: A randomized clinical trial. JAMA Psychiatry 75: 149-157.[crossref]
  7. Kulkarni J, Gavrilidis E, Hudaib AR, Bleeker C, Worsley R, et (2018) Development and validation of a new rating scale for perimenopausal depression-the Meno-D. Translational Psychiatry 8. [crossref]
  8. Schmidt PJ, Wei SM, Martinez PE, Dor R, Guerrieri GM, et (2021) The short-term effects of estradiol, Raloxifene, and a phytoestrogen in women with perimenopausal depression. Menopause 28: 369-383. [crossref]
  9. ASHP (2016) Estradiol Transdermal Patch: MedlinePlus Drug Estradiol Transdermal Patch.
  10. Jiang L, Wang Y, Zhang Y, Li R, Wu H, et (2019) The reliability and validity of the Center for Epidemiologic Studies Depression Scale (CES-D) for Chinese University Students. Frontiers in Psychiatry 10. [crossref]
  11. Maki PM, Kornstein SG, Joffe H, Bromberger JT, Freeman EW, et al. (2019) Guidelines for the evaluation and treatment of perimenopausal depression: summary and Journal of Women’s Health 28: 117-134. [crossref]
  12. Kelly MP, Barker M (2016) Why is changing health-related behavior so difficult? Public Health 136: 109-116. [crossref]
  13. Callen B, Smith C, Joyce B, Lutz J, Brown-Schott N, et al. (2010) Essentials of baccalaureate nursing education for entry-level community/public health nursing. Public Health Nursing 27: 371-382.
  14. Cherry, K. (2019, September 24). Why behaviorism is one of psychology’s most fascinating branches. Verywell Mind.
  15. Lumen Learning (2019) Behavioral and Cognitive Theories | Lifespan
  16. PS A, Das S, Philip S, Philip RR, Joseph J, et al. (2017) Prevalence of depression among middle-aged women in the rural area of Kerala. Asian Journal of Psychiatry 29: 154-159. [crossref]
  17. Shea AK, Sohel N, Gilsing A, Mayhew AJ, Griffith LE, et al. (2020) Depression, hormone therapy, and the menopausal transition among women aged 45 to 64 years using Canadian Longitudinal Study on aging baseline Menopause 27: 763-770. [crossref]
  18. NHS website (2021) Overview – Selective Serotonin Reuptake Inhibitors (SSRIs). NHS. UK.
  19. Dearholt S, Dang D (2018) Library: nursing: evidence-based practice: Johns Hopkins nursing EBP.
FIG 1

A Quick Review on Hydroxychloroquine in the Treatment of COVID-19

DOI: 10.31038/JPPR.2022521

Abstract

The aim of this investigation is was to review briefly the literature of the anti-viral activity for hydroxychloroquine, how has been used in the treatment of the novel coronavirus disease COVID-19, pathogenesis of COVID-19, and the mechanism of action for hydroxychloroquine in treatment of COVID-19. Hydroxychloroquine likely to attenuate the sever progression of COVID-19, Inhibiting the cytokine storm by suppressing T cell activation, also act by increase the pH of intracellular organelles. The study concludes and gave a well-supported document for quick review of the anti-viral activity of hydroxychloroquine used in the treatment of novel coronavirus COVID-19.

Keywords

Hydroxychloroquine (HCQ), Chloroquine (CQ), SARS-COV-2, Antiviral, Pathogenesis

Introduction

The novel corona virus COVID-19 was first reported on the month of December 2019 in Wuhan city-China and it has rapidly spread to all over the world [1]. On February 2020 the world health organization (WHO) named it as (COVID-19), simultaneously the international virus classification commission announced that the new corona virus was named as sever acute respiratory syndrome cornoavirus-2 (SARS-coV2) [2,3]. COVID-19 belongs to the family of genera betacoronaviridae, it is enveloped, single stranded, positive sense RNA virus, the name corona virus derived from the spike proteins that surrounded the outer member of virus [4,5]. COVID-19 is not the first virus from the family of coronaviruses, in the year 2003 a severe respiratory diseases known as sever acute respiratory syndrome (SARS) was reported as an epidemic and 8000 of people being infected with total 10% of cases death. In 2012 another corona virus has outbreak in middle east called as middle east respiratory syndrome (MERS) and infected about 2500 clinical cases with total 35% death. COVID-19 incubation period is about 4-14 days, the shedding period of virus 8-37 days but in severe cases takes about 19 days and in the critical condition takes 24 days [5]. Hydroxycholorquine used as anti-malarial drug and autoimmune diseases such as lupus and rheumatoid arthritis, recently hydroxychloroquine reported in the treatment of novel corona virus (SARS-coV19) [6]. Hydroxychloroquine is a derivative of chloroquine that chemically belongs to 4-aminoqinolines, chloroquine discovered in the year 1934 as anti-malarial drug. Chloroquine also used in the treatment of various infectious diseases [7]. Both Chloroquine as well as hydroxychloroquine acts by the same mechanism of action on coronavirus (COVID-19), that both of chloroquine and hydroxychloroquine are weak bases and they know to increase the intracellular organelles acidic pH, also prevent the binding of virus spike glycoprotein with ACE2 receptors [6].

Hydroxychloroquine (HCQ)

Hydroxychloroquine has similar structure to that of chloroquine (Figure 1). Chloroquine shows inhibitory action on the novel corona virus, but due its several adverse drug reactions chloroquine not suite for the treatment of SARS-coV-2. Hydroxychloroquine has proposed due to its antiviral activity, it is also shows better effect comparing to chloroquine [8]. chloroquine-(N4-(7-Chloro-4-quinolinyl)-N1,N1-diethyl-1,4-pentanediamine) is an amnio acidotropic form of quinine and first synthesized in Germany in the year of 1934 and used in the treatment of malarial and many other autoimmune diseases. Chloroquine has antiviral activity against several diseases like HIV, hepatitis A and C viruses, Influenza A and B viruses, Influenza A H5N1 virus, Dengue virus, chikungunya virus, poliovirus, lassa virus and Zika virus. Hydroxychloroquine sulphate is a derivative of chloroquine and was first synthesized in the year 1946 by addition of hydroxyl group (OH) into chloroquine structure, so produced hydroxychloroquine with less toxicity in animal. Hydroxychloroquine share the same therapeutic uses as well as mechanism of action to that of chloroquine [6,9,10]. Both Hydroxychloroquine and chloroquine have been shown anti-viral activity in SARS-coV-2 when administrated as prophylactic – pre-treated as well as post-viral entry, indicating multiple mechanisms of action. HCQ and CQ are weak bases so they know to increase the pH inside the intracellular organelles including (lysosomes, endosomes and golgi vesicles ), specific enzymes present in the lysosomes active only at low pH around 4.5, as the novel coronavirus SARS-coV-2 needs that enzymes for the process of replication and survive, Chloroquine and hydroxychloroquine increases the pH of lysosomes and interfere the activity of this enzymes and inhibits the SARS-coV-2, help in the treatment of the virus. In addition to that hydroxychloroquine can inhibit SARS-coV-2 entry through the changing the glycosylation of angiotensin converting enzyme-2 (ACE-2) receptor as well as spike protein, experimentally confirmed that hydroxychloroquine inhibits the entry and post-entry steps of the virus. hydroxychloroquine and chloroquine also block the transport of SARS-coV-2 from early endosomes (EEs) to endolysosomes (ELs) which is important required in the release of genome in SARS-coV-2. Due to the altered pH of the endosomes and interfere the binding between tall-like receptors ( TLR7, TLR9) and their RND/DNA ligands, TLR signals suppressed due hydroxychloroquine. In the cytoplasm hydroxychloroquine interfere with the interaction of cytosolic DNA and the nucleic acid sensor cyclic (GMP-AMP) synthase. Hydroxychloroquine acts as immune modulator, inhibit receptor binding and membrane fusion, also it has been shown to down regulate pro-inflammatory cytokines including IL6 levels, and minimize cytokines release syndrome /ARDS. Dose of hydroxychloroquine in COVID-19 was recommended as 400 mg twice in a day for two days, then 200 mg twice per a day for another 3 more days. Hydroxychloroquine has better therapeutic approach compared to chloroquine in the treatment of SARS-COV-2 infection [5-8,11-13] (Figure 1).

FIG 1

Figure 1: Structures of chloroquine and hydroxychloroquine

Pathogenesis

The pathogenesis of SARS-COV-2 not clearly understood, but the mechanism of SARS-COV, and MERS give us a huge information to understand the pathogenesis of novel coronavirus SARS-COV-2 [2]. The genome structure of coronaviruses are well known compared with other RNA viruses.coronaviruses RNA contain encodes viral polymerase, RNA synthesis material and non-structural polyproteins which not involved in host response modulation. Additionally the genome encodes also contain 4 structural proteins these proteins are, spike (S), envelope (E), membrane (M) and nucleocapsid (N) [14] (2019 NOVEL COVID-19). The novel coronavirus SARS-COV-2 mainly act by targeting the respiratory system and cause severe pneumonia and acute cardiac injury with high blood levels of cytokines and chemokines [15]. Virus Enter into host cell, the envelope spike glycoprotein bind to angiotensin converting enzyme-2 (ACE-2) for SARS-COV-2, CD29L (a C-type lectin also known as l-SIGN). After the entry of SARS-COV-2 into the cell the viral RNA genome is release into cytoplasm and converted to 2 polyproteins and structural proteins, then genome begins replication process. The genome that newly formed inserted into the membrane of the endoplamic reticulum, the vesicles carrying the virus particles fuse with the plasma membrane to release the virus. Due to antigen presentation the body stimulate humoral and cellular immunity which are mediated by virus specific B and T-cells that similar to common acute viral infections the antibody profile against SARS-COV virus has typical of IgM and IgG production. The infected patient with SARS-COV-2 shows the number of CD4 and CD8 T-cells in the peripheral blood significantly reduced. The main death cause of novel coronavirus SARS-COV-2 due to the high levels of cytokines and chemokines that released by body immunity. The different types of cytokines that released (IFN-a, IFN-g, IL-1b, IL-6, IL-12, IL-18, IL-33, TNF-a, TGFb) and chemokines (CCL2, CCL3, CCL5 CXCL8, CXCL9, CXCL10). High levels of these inflammation mediators lead to multiple organ failure and finally may lead to death in severe cases in SARS-COV-2 [2].

Conclusion

The authors succeeded in compiling the data and made the brief literature survey. In summary, Hydroxychloroquine serve as a better therapeutic approach than chloroquine for the treatment of COVID-19, due to inhibition of cytokine storm by reducing CD154 expression in T-cell. Hydroxychloroquine showed fewer side effects, safe during the pregnancy.

Conflicts of Interests

Authors do not have any conflicts of interest with the publication of the manuscript.

Acknowledgment

None

References

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FIG 1

Experiences of Student–Mothers during Distance Learning: A Sociobiological Perspective

DOI: 10.31038/PSYJ.2023511

Abstract

Teenage pregnancy and parenting continuously becomes a pressing concern in basic education. A growing body of literature is pointing out that student mothers experience trouble in managing their varied responsibilities. To provide richer literature about the experiences of student mothers during distance learning framed in sociobiological dimension, this qualitative study was conducted. This phenomenological study aims to explore the experiences in Cainta Senior High School during distance learning and frame their narratives using sociobiological theories. An adopted but modified questionnaire was used to gather data from seven purposively chosen respondents. Interpretative Phenomenological Analysis was then utilized to analyze the data collected from focus group discussion (FGD) and electronic mail.

Data analysis revealed the emergence of four themes which included (a) struggles in managing their dual roles; (b) motivation for success through education (c) prioritizing baby’s welfare; and (d) people involvement before, during and after pregnancy. These four identified themes are also congruent to Kin Selection Theory, Evolutionary Life History Theory and Self-Regulation Theory in which narratives are analyzed. Academic institution may offer considerations in their academic workloads such as providing printed modular program, lessening requirements and homework, and counselling services. Future studies may concentrate on best practices schools may give to improve the welfare of student-mothers. Further research could be done to the sociobiological foundations of this paper especially if the experts and policy makers would like to possibly apply the results of this research in crafting interventions to curb school dropouts due to adolescent pregnancy and parenting.

Keywords

Qualitative, Phenomenology, Experiences, Distance learning, Teenage pregnancy, Student-mothers, Sociological, Biological, Theories 4

Introduction

Over 90% of learners in approximately 200 countries ranging from basic to tertiary education were affected by closing of schools due to CoViD-19 pandemic [1]. In the Philippines, lockdowns have been enforced throughout the Philippines since March 2020 to encourage social distancing and to restrict the spread of the virus [2,3]. The Department of Education has also moved the opening of classes to October 5, 2020 when Republic Act No. 11480 was signed [4]. Since then, emergency distance learning was initiated in basic education institutions to deliver education amidst global pandemic. UNESCO suggested the use of distance learning modalities such as online distance learning and modular distance learning to deliver education remotely. However, it was shown that the implementation of remote learning had brought about some negative effects on students [5] more so, to student-mothers [6]. As stated by UNESCO in 2020, school closures paved the way for an increase in child labor, sexual exploitation of young women, early marriages, and teenage pregnancies. The Department of Science and Technology – National Research Council of the Philippines also supported the statement of UNESCO and concluded that one of the effects of school closure to adolescent girls is being pregnant at an early age [7]. Pregnancy among teenagers has become a worldwide issue wherein both emerging and developed nations are affected. Most governments throughout the world are dealing with the issue of how to manage and prevent teenage pregnancy from increasing [8]. According to the World Health Organization [9] there are roughly around 12 million girls aged 15-19 years old that give birth every year in developing countries. In fact, according to the United Nations Population Fund (UNFPA) State of the World Population Report of 2018, the Philippines have the fifth highest adolescent birth rate among 11 Southeast Asian nations. DepEd Secretary Briones stated that 61.9% out of more than two million out of school children and youth ages 16-24 dropped out from school due to marriage/family matters. Briones also confirmed that currently, teenage pregnancy could already be considered as one of the main reasons of children dropping out of school [10]. According to Taukeni [11], student-mothers encounter several challenges in performing their dual role, as student and as parent. There is a growing body of literature that points out the serious and prevalent physical, emotional and mental challenges among student mothers especially if one is still a teenager [12]. Several authors have recognized a solid link between dual roles of student-mothers and their negative experiences [13,14]. Several studies are concentrated on student-mothers in regular tertiary education internationally [15-17]and locally [18-20]. However, very few studies have looked into experiences of student mothers in distance education [21]. This study, therefore, is unique considering its focus on socio-biological perspective and its possible connection to experiences of student- mothers during distance learning. There are socio-biological theories that are related to teenage pregnancy and parenting [22]. In this study, the researchers tried to frame the narratives of the student-mothers to sociobiology, Kin Selection Theory, Evolutionary Life History Theory, and Self-Regulation Theory to make the narratives of the participants more meaningful.

As such three compelling reasons why the researchers were inspired to explore the topic are given here. First is the rising cases of teenage pregnancy and parenting in the Philippines; second is the continuous dropping out of student mothers from basic education; and third, which is perhaps the most challenging aspect, is the very limited studies on distance learning experiences of student mothers in Philippine settings during the pandemic anchored on socio-biological foundations. A more enriched qualitative research was generated from this study and contributed to the much better understanding of the lived experiences of student-mothers and how their daily experiences, decisions, ambitions, and lifestyle are anchored from an evolutionary standpoint.

Literature Review

According to WHO (2004), teenage pregnancy, also known as adolescent pregnancy, is pregnancy in a female under the age of 20. In developing countries, there are an estimated 12 million girls aged 15-19 years that give birth each year [23]. Philippines, on the other hand, have seen a slight decrease in teenage pregnancy rate. From 10% in 2008, it decreased from to 9% in 2017 [24]. However, the Philippines still has one of the highest adolescent birth rates among the ASEAN Member States. This entails that more than 500 Filipino adolescent girls are getting pregnant and giving birth every day [25].

Government programs are continuously implemented to address the problems associated with teenage pregnancy. In fact, Department of Education, Department of Health, and Commission on Population and Development jointly initiated the Comprehensive Sexuality Education and Adolescent Reproductive Health (CSE-ARH) Convergence to respond on the ongoing challenges of reproductive health issues among young people including adolescent pregnancies. Revilla [26] also filed “Prevention of Adolescent Pregnancy Act of 2019” in the Senate addressing the concerns of teenage pregnancies and taking care of the welfare of teenage mothers. President Duterte also signed executive order (EO 141) announcing the prevention of teenage pregnancies a national priority of the country. Differing literature surfaced about the correlation of teenage pregnancy and education, although negative consequences outweigh positive ones. Predetermined pregnancy among 6 young individuals can compromise their education. However, in the study of Goodman and Reddy [27], many single student mothers pursue their education due to powerful motivation to improve the lives of their families and to be a positive example for their children. Their children serve as a consistent motivation for these student parents to persist in their education and career goals. According to Reichlin Cruse, Holtzman, et al., [28], as cited in the study of Pendleton and Atella [29], the median debt of undergraduate student parents is 2.5 much higher than the debt of those without children. This is primarily due to a lack of familiar support. They also added that teenage pregnancies cause young women to have different negative impacts on their studies, means of living and to their health.

According to the Philippine Statistics Office in 2019, Region IV-A (CALABARZON), recorded 344 live births in the civil registry among young ladies ages 10 to 14. Rizal province in 2019 ranked second in terms of registered live birth out of teenage pregnancy with 5,458 trailing Cavite province. In Cainta Senior High School, there are 58 cases of recorded teenage pregnancies that are currently enrolled for the school year 2021-2022. The issue of teenage pregnancy and parenting can be both viewed in the lens of biological and sociological dimension [30]. Sociobiology is a field of biology that aims to examine and explain social behavior in terms of evolution. Sociobiology is based on the premise that some behaviors (social and individual) are at least partly inherited and can be affected by natural selection [31]. In this study, the researchers framed the narratives of the student-mothers to sociobiology, Kin Selection Theory, Evolutionary Life History Theory, and Self-Regulation Theory to make the narratives of the participants more meaningful.

Evolutionary Life History Theory which was articulated by Stephen Stearns is anchored from the principles of Natural Selection by Charles Darwin. It essentially states that early reproduction can be correlated to harsh environmental conditions. According to this theory, girls who live in an environment where there is huge emotional stress will experience adolescence at an earlier age than her peers. In any situation where there is a threat of dying, there is also a pressure on the organism to reproduce. This is also supported by the notion that teenage childbearing has been the norm for most of human history especially in early civilizations [32]. Kin selection theory is the evolutionary strategy that favors the reproductive success of an organism’s relatives, even at a cost to the organism’s own survival and reproduction. The theory was also anchored from natural selection theory and popularized by Hamilton in 1963 and Smith in 1964.

Self-Regulation Theory as studied by Roy Baumeister explains that individuals operate like feedback systems, constantly regulating their relationships to the environment in order to bring their current state closer to their goal states. This theory involves concept on feedback system of self-regulation, coping procedures, and problem solving. They 7 also possess coping techniques where individuals are viewed as active problem solvers who tried to reach their desired goal.

Research Questions

This phenomenological study is guided by the following central research question: What are the significant experiences of student-mothers in Cainta Senior High School during distance learning? Specifically, the researchers would like to determine if the experiences of the participants can be analyzed through a sociobiological perspective.

Scope and Limitation

This study was limited only to the examination of the experiences of student-mothers during distance learning. This did not discuss the possible intervention strategies to curb teenage pregnancy; rather, this study is concentrated on examining the experiences of student-mothers in Cainta Senior High School during distance learning. This research is only concerned with Kin Selection Theory, Evolutionary Life History and Self-Regulation Theory. The data collection was conducted with seven student-mothers currently enrolled at Cainta Senior High School on school year 2021-2022 using focus group discussion. This study was conducted from March-April 2022. Data gathering employed several instruments which were constructed and modified by the researchers. Findings of the study, therefore, were true only for the subjects concerned and for the given period of time, although this could be used as a basis for similar studies that would be conducted at different schools in the country.

Significance of the Study

The researchers considered that the body of knowledge that was produced from this study added to the better understanding of the distance learning experiences of student-mothers framed in socio-biological dimension. Additionally, the researchers believed that this study will be valuable to the following group of people:

Students

This research intends to help regular students be properly educated on the experiences of student-mothers to make informed life choices about their life.

Parents

This research can help parents in addressing the issue of their daughter who needs proper support and guidance as it is difficult to study and take care of a child at the same time. This study may give them an idea on what kind of support they should provide or offer to their daughter to help them lighten the challenges they are facing as student-mothers.

School Administrators

Data from this study would give school administrators a better perspective about the circumstances of the student-mothers. This study might be used as a guide in developing future projects which help them manage their dual roles without dropping out of school.

DSWD and GAD

Concerned individuals from these agencies may want to look into the theoretical foundations of this research to evaluate if their current programs for student-mothers are effective. This research may shed light, where necessary, in understanding the roots of why student-mothers behave the way they do and therefore could propose socially appropriate programs to empower them and protect their welfare.

Future Researchers

With the growing number of student-mothers dropping out of schools, it is vital to engage in research to examine this rising phenomenon. Specifically, more exploratory research is needed to understand this overlooked population.

Research Methodology

Sampling

Qualitative method of research, specifically phenomenological research, was used in this study. To realize this research design, specific, purposively chosen participants played a crucial role in the data gathering procedure. This strategy is a kind of non-probability sampling technique, which targets a particular group of people [33]. Purposive sampling was used because the researchers believed that subjects were the most fitted to become respondents of the study. This type of sampling allowed the selection of participants who had experienced or were experiencing the phenomenon (teenage parenting) under study. This sampling technique also allowed the researcher to draw stories from student mothers about their actual life experiences [34]. In this study, the number of participants was seven (7). Morse in 1994 suggested at least six respondents for phenomenological research design. Manalang (2015) worked on a phenomenological study involving only three student-mothers. The increase in number of participants in this study was to ensure the richness of data that will be obtained from the focus group discussion.

Criteria were set to choose the possible respondents: a) student-mother; b) 16-20 years old; c) currently enrolled in school, d) willingness to participate in the study.

Data Collection Procedure

Health research has already accepted a qualitative type of methodology in the past years [35]. Authors identified the effectiveness of qualitative methodology in bringing out the greater depth of understanding on the complex phenomena faced by patients living with long term conditions [36]. One field under qualitative research is phenomenological research. This approach allows the researcher to frame significant themes from participants’ narratives and descriptions regarding the phenomenon [37]. This study utilized phenomenological research design. In gathering necessary data in realizing this design, focus group discussion (FGD) using an interview guide was done. The interview guide was adapted from the study of Erk [38] and modified by the researchers to fit the current study. Informed consent form for participants, permit letter for the parents of 9 participants who are under 18-year-old, and permit letter to conduct the study addressed to research adviser were prepared to address ethical issues regarding the FGD that took place. When the study was approved, the researcher talked to target participants and explained to them the nature, objective, and significance of the study. Once the target participants agreed to the interview, they were given an informed consent form. For participants who did not want to participate in the study, the researchers showed gratitude accordingly.

One (1) focus group was created. This focus group was composed of 6 (six) participants who participated in a focus group discussion (FGD). The date, time, and platform (whether face to face or virtual) of FGD was negotiated with the participants for their convenience. FGD started after the informed consent form and permit letter to the parents were filled out completely. As an opening activity to focus group discussion, the researchers asked the participants to draw their perception on themselves as student-mothers. The respondents were told that they can edit, add, or start the drawing over during the discussion. This technique was used to enrich the verbal narrative and “break the ice” between participants and researchers. Questions in FGD were also sent to one participant via electronic mail after confirming that there was a conflict on schedule. Responses were sent back to researchers a day after.

Data Analysis

There was a large amount of data obtained in the qualitative interview conducted and it was necessary to use a structured framework. Therefore, collected narratives were examined using the Interpretative Phenomenological Analysis (IPA). IPA intends to look at details of how respondents are making sense of their personal and social world. According to Smith and Osborn [39], IPA aims to explore in detail how participants were making sense of their personal and social world” which captured and explored the life of the participants assigned to their experiences. The steps in IPA were summarized as follows: a) reading transcripts; b) taking notes of significant statements; c) statements to codes; d) grouping clustered codes to themes; e) making table of themes.

To validate the findings, researchers adopted the seventh step on Collaizi’s Seven Step Method [40]. Participants were asked to validate the themes that were extracted from their narratives through their personal messengers.

Ethical Issues

Before the start of study, the researchers sought permission for conducting the study through a letter given to the research adviser. Since the study concerns a subject that is considered sensitive, several potential ethical issues were addressed. For purposively chosen participants, the entire consent form was given to them. This action allowed them to carefully read the purpose of the study, risks and discomfort the group discussion may bring, benefits of the 10 studies, and confidentiality of the information. Consent letter for the parents of participants was also given to ensure that the parents of the minors allowed them to partake in the said study. The focus group discussion was held at the most convenient time of the participants. The researcher also explained to each of the participants that participation in the study is not compulsory, and they may stop the interview at any time if they feel uncomfortable or embarrassed. Before conducting the FGD, the researcher reviewed the consent form and reminded the participants that the discussion will be tape recorded.

In the manuscript, participants were tagged as Respondent 1, Respondent 2, and so on for anonymity.

Discussion of Results

This phenomenological study primarily aimed to explore the experiences of student-mothers in Cainta Senior High School during distance learning. The result and discussion section was presented with identifying themes from participants’ narratives and sociobiological dimensions where narratives were framed. According to Auerbach & Silverstein [41], themes may emerge as a result of the repeating concepts which are mutually shared by participants.

It is found out that the identified themes were congruent to the central research question as follows:

  1. Struggles in Managing their Dual Roles
  2. Motivation for Success through Education
  3. Prioritizing Baby’s Welfare
  4. People Involvement Before, During and After Pregnancy

These four identified themes are also congruent to Kin Selection Theory, Evolutionary Life History Theory and Self-Regulation Theory in which narratives are framed. The artistic representations of the respondents on how they view themselves as student-mothers also reflected the themes that emerged from the narratives of the participants. As the student-mothers used their art to represent themselves, themes emerged organically from the art that reflected the student-mother’s lived experience during distance learning. The art itself conveyed emotion, priorities, and struggle and provided another way of communicating their lived experience as a student-mothers. Five out of six participants included their child in the portrait. Five out of six participants included their different roles in life. Four out of six participants also included studying or education (Figure 1).

FIG 1

Figure 1: Collage of Student-Mother Portraits

Struggles in Managing their Dual Roles

Student mothers have experienced a lot of struggles that may lead to interrupt their academic accomplishments [42]. It is similar to the experience of one participant in which she shared her experiences in distance learning. According to her,

“Actually po, mahirap para sa akin kasi nagtatrabaho na tapos nag-aalaga pa, tas mag-aaral ka pa siguro nagsasagot na lang ako ako kapag walang ginagawa saka kapag hindi masyadong pagod saka kapag tulog yung baby ko tapos ngayon nga medyo late na ako sa mga activities pero kailangang habulin kasi hindi ako makaka graduate. Kailangan ko maka graduate kasi gusto ko na makahanap ng mas maayos na trabaho, yun lang.” (Respondent 2; 00:42:58-00:43:31)

She also shared her experiences in deciding what to prioritize to her obligations. She commented,

“Ako po kasi sa tingin ko kasi sa lahat ng bagay kailangan kang may isa kang isasakripisyo, para sa akin dumadating kasi ako sa point na malapit na yung pasahan ng module tas nagrarush din kami ng mga tahi tapos andiyan pa yung baby na aalagaan. Kailangan ko talagang may isa munang hindi gagawin kaya ang ginagawa ko na lang since pwede namang malate ng konti sa pasahan yun na lang muna yung ano hindi ko muna ginagawa tapos kapag may time na ako yun na yung ginagawa ko. Yung doon po sa pag-aaral or pagiging magulang syempre nasimulan na yung pagiging magulang kaya itutuloy na po yon, kasi yung pag-aaral pwede mo namang ulitin pero yung pag-aalaga 12 alagaan mo hanggang baby pa siya kasi kapag lumaki na siya hindi mo na siya maaalagaan gaya nung baby pa siya.” (Respondent 2; 00:46:22-00:47:00)

Evidence pointed out that student mothers have trouble towards their academic journey during the implementation of distance learning. It was exemplified by one participant who shared her her daily routine in distance learning. According to her,

“Ganon din po lagi yung routine ko everyday kapag syempre sa morning po asikaso po muna ng baby and then kapag medyo okay na po nakatulog na po siya, saka lang din po ako gagawa ng modules ko and lahat po ng schoolworks. Kapag face to face naman po uhm iniiwan ko din po siya sa parents ko po para po makapasok. Saka okay na din po yung half day lang po yung pasok para po maalagaan ko din po siya pagkauwi ko.” (Respondent 4; 00:42:13-00:42:48)

Struggling with their varied roles also prompted three respondents to suggest that school may help them with their situation especially, time management if they will be given using printed modules or Learner’s Packet (LeaP). As one respondent suggested,

“Para po sakin siguro ano po kung yung ibabalik po yung may printed module po kasi po pag sa online po kumukuha parang ang hassle po kasi minsan syempre po minsan yung iba walang panload. Although po may libreng wifi sa school pero paano naman po yung mga walang pamasahe, hindi po kayang mamasahe, hindi po kayang magload? Yung iba po kasi nakikisabay lang po ng module diba, nakikipasa lang.” (Respondent 6; 01:09:56-01:10:28)

Motivation for Success through Education

Participants stated that they continue studying for their child’s future as well as to provide their needs and serve as their child’s role model. As stated by Goodman and Reddy, single mother-students demonstrate exceptional determination to overcome obstacles to their education, and they are powerful role models for their children where their children serve as a consistent motivation for them to persist in their education and career goals. One participant said that,

“So as a single mom po, syempre po mas gugustuhin ko pong ipagpatuloy po yung pag-aaral ko kasi para po mas mabigyan po ng mas magandang future yung baby ko na kahit wala akong katuwang e mapupuna ko po yung mga pangangailangan niya at the same time po mafufulfill ko rin po yung ano yung dreams ko po na makapagtapos at makahanap ng magandang trabaho para sa po sa kanya.” (Respondent 4; 00:55:25-00:56:20)

Another participant also shared her insight

“Dati po yung rason mo kung bakit ka nag aaral is para makatulong sa pamilya, ngayon po ang iniisip ko na yung future ng anak ko yung para den sa family ko para pagdating ng 13 araw kung may maganda na kong trabaho mabigay ko at masuklian ko den yung mga hirap ng magulang ko na kahit maaga ako nagkaanak pinupush pa rin nila na makatapos ako.” (Respondent 6; 00:52:15-00:52:43)

Prioritizing Baby’s Welfare

Wilson and Cox [43] found out despite the fact that student-mothers understood the value of their schooling for the benefit of their family, their children were their top priority. One of the participants explained that her time in a day isn’t enough to complete her daily responsibilities. According to her,

“Ako po kasi sa tingin ko kasi sa lahat ng bagay kailangan kang may isa kang isasakripisyo, para sa akin dumadating kasi ako sa point na malapit na yung pasahan ng module tas nagrarush din kami ng mga tahi tapos andiyan pa yung baby na aalagaan. Kailangan ko talagang may isa munang hindi gagawin kaya ang ginagawa ko na lang since pwede namang malate ng konti sa pasahan yun na lang muna yung hindi ko muna ginagawa tapos kapag may time na ako yun na yung ginagawa ko. Yung doon po sa pag-aaral or pagiging magulang syempre nasimulan na yung pagiging magulang kaya itutuloy na po yon, kasi yung pag-aaral pwede mo namang ulitin pero yung pag-aalaga alagaan mo hanggang baby pa siya kasi kapag lumaki na siya hindi mo na siya maaalagaan gaya nung baby pa siya.” (Respondent 2; 00:46:22-00:47:00)

On the other hand, another participant shared that the other mothers would surely agree. She said,

“Mas pipiliin ko po maging ina, at alagaan ang aking anak dahil isang beses lang po sya bata at kailangan nya pong matutukan.” (Respondent 7)

People Involvement Before, During and After Pregnancy

In the course of pregnancy until child rearing, several individuals play crucial part on student-mothers life. When a teenage daughter gets pregnant, parents are usually disappointed (Furstenberg, 1980 as cited by East, 1999). One of the participants mentioned how her parents have high expectations from her, but suddenly it leads to disappointment when they find out that she got pregnant. She said,

“Actually honor student po ako since elementary and high school. In fact, I graduated when I was in grade 6 as the 5th honorable mention of our batch. Sobrang laki ng expectations sakin ng family ko, kaya nung nabuntis ako sobrang laki din ng disappointment nila sakin. Nagka boyfriend po ako when I was in grade 10 and sya din ung father ng baby ko now. Nakatira po kami sa parents ko now pero planning na lumipat.” (Respondent 2; 00:32:54). 14

While other participants shared her experiences by frequent socializing with her friends before getting pregnant. According to her,

“Dati po nung bago ako manganak, bago po ako mabuntis ano po mabarkada po talaga ako marami po akong kaibigan tapos yung partner ko po ano na po talaga siya nagtratrabaho na po siya working student po talaga siya eh ngayon ano po hindi po kami nagsasama dun pa din po ako sa bahay namin nakatira kasi po nagpapatuloy po ako ng pag-aaral ngayon hopefully po na makatapos po ako this year magsasama po kami, maghahanap na rin po ako ng trabaho, siya din po kasi mahirap po talagang maging ano nag-aaral ka tapos may anak ka mahirap pong pagsabayin.” (Respondent 6; 00:28:28-00:29:16)

Regardless of the failure or judgements they had encountered, student mothers still want guidance and care from their family. Anwar and Stanistreet [44] supported those teenage moms depend mostly on their family, trusted friends, to the people who are always on their side and who they feel can support them. Participant also gave advice from the other student’s mother who experienced the same treatment. She added,

“Ako naman po maadvice ko sa kanila is wag silang makikinig sa mga sinasabi nung mga chismosa ganun marites, wag silang maniniwala na “ay nabuntis yan ng maaga kasi ang landi landi niyan” ganun. Kasi ganun yung mindset nung ibang tao porket nabuntis ng maaga malandi ka na agad. Yun po yung wag nating inormalize kasi hindi naman po totoo yun na porket nabuntis ka ng maaga malandi kana. Kasi may mga iba na bumababa yung self confidence dahil dun kasi nagpapadala sila sa mga sinasabi ng iba. Kaya advice ko lang talaga sa kanila wag silang maniniwala dun, paniwalaan nila yung sarili nila, sa pamilya nila kasi lagi nilang tatandaan na nandyan yung pamilya wag silang maniniwala jan sa mga wala namang ambag sa buhay.” (Respondent 6, 00:57:39-00:58:34)

Two respondents mentioned their family members who are taking care of their child while they are busy with schoolworks. They said,

“Nagagawa kopong pag sabayin kapag po tulog sya o di kaya naman ay aalagaan sya ng lola nya.” (Respondent 7).

“Ako naman po, yung baby ko po iniiwan ko sa family ko po, sa mama ko lalo na kapag nagsasagot po ako ng module or assessment.” (Respondent 5).

Sociobiological Dimensions of Participants’ Experiences

Sociobiology is the systematic study of how natural selection shapes the biological basis of all social behavior. Sociobiology was used to frame the narratives of the participants in the study.

Sociobiologists predict that mothers will care for their children more than fathers (they have more invested in them and are more certain of their maternity. All of the student mothers in 15 this study have the custody of their child providing nourishment and support to the child, consistent with the findings of Craig [45] which exemplifies that those mothers were more likely to do more multi-tasking, more physical labor, more responsibility for their care than the fathers. Women often perceived as more nurturing in the society and many people thinks that women are better at taking care of children than men are (Craig, 2006).

Sociobiologists also predict that helping decreases with kinship distance in what known as kin selection theory. Kin selection theory asserts that humans are predisposed to ensure the survival and replication of their genes which they share with their offspring [46] Caring and helping is evident when it involves children, parents, spouses, or other close relations. This sociobiological perspective is evident in the narratives of the student-mothers; whether they said that they wanted to finish studies or wanted to work, this shows deep care and affection. Likewise, kin selection theory can be seen in one theme of study which is prioritizing their baby’s welfare. It shows that student-mothers wanted to take care the needs of their baby first before anything else, a good manifestation of kin selection theory. Life situations wherein student-mothers do not have internet load to download necessary learning materials, do not have transportation allowance to go to school for school requirements, struggle with their time and finances, are confused with their roles, sacrifice one task to perform the other, needs to work while taking care of the child and studying all points out to the postulates of Evolutionary History Theory which correlates early pregnancy and parenting to hardships in life. Juntereal [47] wrote that several studies have already proven that too-early childbearing has several negative impacts for young women including poverty and lower educational attainment.

Evolutionary Life History Theory also postulates that in the animal kingdom, investing in one’s growth may mean that an animal attains a larger body size before reproduction, allowing them to acquire better mates, a larger territory, or more resources. For humans, self-investment may mean delaying reproduction to further one’s education to secure a higher income in the future. This postulate is in contrast with the lived experiences of student-mothers who experienced early pregnancy and therefore have the difficulty in providing the needs of their child. Self-Regulation Theory can also be traced from the narratives of the respondents. Student mothers became problem solvers when face with difficult situations such as balancing their time with their child and academics. One respondent shared that there are instances that as student-mother, they should sacrifice something. Schooling, in this sense, does not win over taking care for the baby. Welfare of the baby comes first before anything else.

Even when there are cases where submission of school requirements is not prioritized, all of the student-mothers want to finish their studies to support their child’s future. This situation exemplifies that all actions of the student-mothers are for the attainment of their desired goal – for their child to have a good future. This situation is also a classic manifestation of Self-16 Regulation Theory where individuals regulate their relationships / responsibilities to the environment to achieve their goals. In a study by Wilsey [48], student-mothers pushed through with their education and professional growth despite the challenges to realize their self-fulfillment. They also have seen that education is relevant to their lives in order to achieve their human goals.

Recommendations

Based on the results of the narratives, this phenomenological research framed in sociobiological perspective, affirms that student-mothers are struggling with their multiple roles in life. Academic institution may offer considerations in their academic workloads such as providing printed modular program, lessening requirements and homework, and counselling services. Basic education services, especially in junior high school and senior high school may provide support groups that could serve as assistance and information resource of these student-mothers. Future studies may concentrate on best practices schools may give to improve the welfare of student-mothers. Further research could be done to the sociobiological foundations of this paper especially if the experts and policy makers would like to possibly apply the results of this research in crafting interventions to curb school dropouts due to adolescent pregnancy and parenting.

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An Update on the Situation of Women Human Rights Defenders in Medicine – A New Case Example

DOI: 10.31038/AWHC.2022533

Abstract

Women Human Rights defenders encounter increasing dangers, as demonstrated by our case example, the renewed arrest of Prof. Sebnem Korur Fincanci, a leading human rights expert and defender, in Turkey. Many countries with autocratic regimes have in fact increased their attacks on women, especially those from ethnic minorities, such as Kurdish minorities, in spite of all efforts by the UN, World Medical Association, and other international umbrella organisations. Support for WMA and UN activities and local women’s organisations are to be seen as crucial to face these raising challenges.

Keywords

Human Rights, Istanbul Declaration, Istanbul Protocol, Turkey, Iran, Afghanistan

As a follow-up to our article from 2021 in this journal [1], we have to note, that the situation of women as human rights defenders has not improved.

In our opinion, autocratic regimes and dictatorships have started to encourage each other, also in the face of usually complete impunity in order to persecute women standing up for women, and in general, human rights. Women can have a strong symbolic role in public if they publicly support human rights and humanitarian standards, that clash with grandiose, mostly male dreams of empire and unlimited power. The denying of important documents protecting women [2], such as the Istanbul convention, that was developed in Turkey, but suspended in this land by its present autocratic ruler (with “effect of 1 July 2021, Turkey withdrew from the Istanbul Convention and is no longer a state party to this convention”), is apparently part of this strategy targeting especially women. In spite of the creation of a special rapporteur on human rights defenders by the UN (“Special Rapporteur on the situation of human rights defenders”, at present the highly respected Ms. Mary Lawlor), apparently not much progress was made in some countries since our last critical analyses in this journal, probably to the overwhelming challenges in the global rise on violence, as demonstrated by the present situation of women speaking out in countries such as Iran and Afghanistan.

This is further underlined by the renewed [1] arrest of Professor Sebnem Korur Fincanci [3], former head of Istanbul University Department of Forensic Medicine, president of the Turkish Medical Association, world-renowned expert on forensic investigation of severe human rights related crimes such as torture, coauthor of the UN and WMA supported “Istanbul Protocol” [4-6] (for the documentation and investigation of torture supported by the UN and other organisations). She also received the German “Hessian Peace Prize” among other international decorations honoring her dedication to peace and human rights. She was arrested and accused of “supporting terror propaganda” after her proposing an independent investigation into the alleged use of poison gas in Kurdish regions. At the same time, the Turkish government took steps to discredit and take control of the Turkish Medical Association that should be guaranteed to have an independent status, following World Medical Association guidelines. This has created a massive international wave of solidarity and the demand to release and end persecuting her. It was published by nearly all international professional organisations, foremost the WMA, the World Psychiatric Association, national medical associations, and a large number of NGOs.

The World Medical Association leadership for example on October, 26, 2022 quoted Dr. Frank Ulrich Montgomery, Chair of the WMA Council: ‘It is totally unacceptable that Dr. Korur Fincancı has been detained and that members of the Turkish Medical Association are being threatened with suspension.” and confirms:

“The World Medical Association has issued a strong condemnation about the arrest in Turkey of Dr. Şebnem Korur Fincancı, President of the Turkish Medical Association.”

WMA has recently updated this international appeal stating that:

“Millions of physicians around the world have joined forces to demand the release of Turkey’s physician leader, Prof. Şebnem Korur Fincancı. Dr. Fincani, President of the Turkish Medical Association, has been held in prison for almost two months after calling for an independent investigation into allegations about the use of chemical weapons. This week, the Istanbul 24th Heavy Penal Court will hold the first hearing of Dr. Fincani on charges of ‘propaganda for a terrorist organisation’. WMA, together with the Standing Committee of European Doctors (CPME) and four other European medical organisations, has already earlier written again to the President of Turkey protesting that Dr. Fincani was in detention for merely expressing an opinion.”

Dr. Frank Ulrich Montgomery, further comments: ‘Such denial of liberty constitutes a gross violation of the freedom of speech. Her detention is arbitrary, abusive, and contrary to the most elementary fair trial rules, guaranteed by the International Covenant on Civil and Political Rights that Turkey has ratified in 2003’.

He further reminds the Turkish President that the use of chemical weapons was prohibited under international law ratified by Turkey in 1997.

He concludes: ‘It seems to us incongruous at the least that the Turkish authorities punish one of its citizens for recommending an investigation into the use of weapons which they precisely committed to prohibit.

The international medical community urges you to deliver justice fairly and impartially and calls for the immediate release of Prof. Şebnem Korur Fincancı and to drop all charges against her.’

This can be seen as the global position of medical doctors in this case, applying also to similar cases of medical doctors active as human rights defenders and human rights in general. The persecution of women human rights defenders in Iran and observations on their torture, sexual abuse, lack of adequate medical care and on the other hand, abuse of medicine, have been raised and should be investigated with urgency, using international standards of medical examination and investigation such as the already mentioned recently updated UN “Istanbul Protocol” [7-9], making use of the option of an independent investigation by the UN, for example by the Special Rapporteur on Torture.

So far, UN has already excluded Iran from the UN Commission on the Status of Women. Women of ethnic minorities, such as Kurdish groups appear to be at special risk for all acts of persecution [10,11].

We further want to note, that also other professions, such as especially journalists [12], are part of the defense of human rights. In addition to the protection given to defenders, being the primary necessary intervention, both legal and psychological support should be offered to all groups, such as medical doctors, care givers [13], journalists and also witnesses that give testimony in international and national courts.

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