Making pharmaceutical research and regulation work for women

Treating Mycoplasma genitalium (in pregnancy): a social and reproductive justice concern

Antimicrobial Resistance is a threat to individual and to population health and to future generations, requiring "collective sacrifices" in order to preserve antibiotic efficacy. 'Who should make the sacrifices?' and 'Who will most likely make them?' are ethical concerns posited as potentially manageable through Antimicrobial Stewardship. Antimicrobial stewardship almost inevitably involves a form of clinical cost-benefit analysis that assesses the possible effects of antibiotics to treat a diagnosed infection in a particular patient. However, this process rarely accounts properly for patients - above and beyond assessments of potential (non)compliance or adherence to care regimes. Drawing on a vignette of a pregnant woman of colour and migrant diagnosed with Mycoplasma genitalium, a sexually transmissible bacterium, this article draws out some of the ethical, speculative, and practical tensions and complexities involved in Antimicrobial Stewardship. We argue that patients also engage in a form of cost-benefit analysis influenced by experiences of reproductive and social (in)justice and comprising speculative variables - to anticipate future possibilities. These processes have the potential to have effects above and beyond the specific infection antimicrobial stewardship was activated to address. We contend that efforts to practice and research antimicrobial stewardship should accommodate and incorporate these variables and acknowledge the structures they emerge with(in), even if their components remain unknown. This would involve recognising that antimicrobial stewardship is intricately connected to other social justice issues such as immigration policy, economic justice, access to appropriate medical care, racism, etc.

Increasing Diversity, Equity, Inclusion, and Accessibility in Rare Disease Clinical Trials

Diversity, equity, inclusion, and accessibility (DEIA) are foundational principles for clinical trials and medical research. In rare diseases clinical research, where numbers of participants are already challenged by rarity itself, maximizing inclusion is of particular importance to clinical trial success, as well as ensuring the generalizability and relevance of the trial results to the people affected by these diseases. In this article, we review the medical and gray literature and cite case examples to provide insights into how DEIA can be proactively integrated into rare diseases clinical research. Here, we particularly focus on genetic diversity. While the rare diseases DEIA literature is nascent, it is accelerating as many patient advocacy groups, professional societies, training and educational organizations, researcher groups, and funders are setting intentional strategies to attain DEIA goals moving forward, and to establish metrics to ensure continued improvement. Successful examples in underserved and underrepresented populations are available that can serve as case studies upon which rare diseases clinical research programs can be built. Rare diseases have historically been innovation drivers in basic, translational, and clinical research, and ultimately, all populations benefit from data diversity in rare diseases populations that deliver novel insights and approaches to how clinical research can be performed.

Promoting equity in clinical research: The role of social determinants of health

OBJECTIVE

This study aims to investigate the association between social determinants of health (SDoH) and clinical research recruitment outcomes and recommends evidence-based strategies to enhance equity.

MATERIALS AND METHODS

Data were collected from the internal clinical study manager database, clinical data warehouse, and clinical research registry. Study characteristics (e.g., study phase) and sociodemographic information were extracted. Median neighborhood income, distance from the study location, and Area Deprivation Index (ADI) were calculated. Mixed effect generalized regression was used for clustering effects and false discovery rate adjustment for multiple testing. A stratified analysis was performed to examine the impact in distinct medical departments.

RESULTS

The study sample consisted of 3,962 individuals, with a mean age of 61.5 years, 53.6 % male, 54.2 % White, and 49.1 % non-Hispanic or Latino. Study characteristics revealed a variety of protocols across different departments, with cardiology having the highest percentage of participants (46.4 %). Industry funding was the most common (74.5 %), and digital advertising and personal outreach were the main recruitment methods (58.9 % and 90.8 %).

DISCUSSION

The analysis demonstrated significant associations between participant characteristics and research participation, including biological sex, age, ethnicity, and language. The stratified analysis revealed other significant associations for recruitment strategies. SDoH is crucial to clinical research recruitment, and this study presents evidence-based solutions for equity and inclusivity. Researchers can tailor recruitment strategies to overcome barriers and increase participant diversity by identifying participant characteristics and research involvement status.

CONCLUSION

The findings highlight the relevance of clinical research inequities and equitable representation of historically underrepresented populations. We need to improve recruitment strategies to promote diversity and inclusivity in research.

Exclusion of pregnant and lactating persons from breast cancer clinical trials: a review of active trials registered on ClinicalTrials.gov

INTRODUCTION

Treatment of pregnancy-associated breast cancer is complex, as providers try to balance risks to the pregnant person and the developing fetus. Given increased case fatality and increasing incidence, there is a pressing need understand the efficacy and safety of different treatment regimens in this population; however, pregnant and lactating people have traditionally been excluded from participating in randomized controlled trials (RCTs). Given recent efforts to expand the inclusion criteria for oncology RCTs, this study aimed to review the inclusion/exclusion criteria of current breast cancer RCTs to assess what proportion of trials permitted enrollment of pregnant and lactating persons.

MATERIAL AND METHODS

We conducted a comprehensive search of ClinicalTrials.gov in January 2022 to identify interventional studies of breast cancer in adults that were actively recruiting. The primary outcomes were the exclusion of pregnant and lactating people.

RESULTS

The search identified 1706 studies, of which 1451 met eligibility criteria. Overall, 69.4% and 54.8% of studies excluded pregnant and lactating people, respectively. The exclusion of pregnant and lactating persons differed by study characteristics but extended across all trial designs, locations, phases and interventions. Exclusion of pregnant and lactating persons was most common in trials where the intervention was biological (86.3%), drug (83.5%) or radiation (81.5%).

CONCLUSIONS

The exclusion of pregnant and lactating people from clinical trials contributes to evidence gaps in how to treat this population. A paradigm shift is needed that focuses on how research can be used to protect pregnant people from future harms, instead of protecting pregnant people from research-related risks.

Vascular Diseases in Women: Do Women Suffer from Them Differently?

According to the World Health Organization, cardiovascular disease (CVD) is the leading cause of death among women worldwide, yet its magnitude is often underestimated. Biological and gender differences affect health, diagnosis, and healthcare in numerous ways. The lack of sex and gender awareness in health research and healthcare is an ongoing issue that affects not only research but also treatment and outcomes. The importance of recognizing the impacts of both sex and gender on health and of knowing the differences between the two in healthcare is beginning to gain ground. There is more appreciation of the roles that biological differences (sex) and sociocultural power structures (gender) have, and both sex and gender affect health behavior, the development of diseases, their diagnosis, management, and the long-term effects of an illness. An important issue is the knowledge and awareness of women about vascular diseases. The risk of cardiovascular events is drastically underestimated by women themselves, as well as by those around them. The purpose of this review is to draw attention to improving the medical care and treatment of women with vascular diseases.

Multimorbidity of cardiovascular disease subtypes in a prospective cohort of 1.2 million UK women

OBJECTIVE

Cardiovascular multimorbidity (CVM) is the co-occurrence of multiple cardiovascular disease subtypes (CVDs) in one person. Because common patterns and incidence of CVM are not well-described, particularly in women, we conducted a descriptive study of CVM in the Million Women Study, a large population-based cohort of women.

METHODS

UK women aged 50-64 years were followed up using hospital admissions and mortality records for an average of 19 years. CVM was defined as having ≥2 of 19 selected CVDs. The age-specific cumulative incidence of CVM between age 60 and 80 years was estimated. The numbers and proportions of individual, pairs and other combinations of CVDs that comprised incident CVM were calculated. For each individual CVD subtype, age-standardised proportions of the counts of other co-occurring CVDs were estimated.

RESULTS

The age-specific likelihood of having CVM nearly doubled every 5 years between age 60 and 80 years. Among 1.2 million women without CVD at study baseline, 16% (n=196 651) had incident CVM by the end of follow-up. Around half of all women with CVM had a diagnosis of ischaemic heart disease (n=102 536) or atrial fibrillation (n=96 022), almost a third had heart failure (n=72 186) and a fifth had stroke (n=40 442). The pair of CVDs with the highest age-adjusted incidence was ischaemic heart disease and atrial fibrillation (18.95 per 10 000 person-years). Over 60% of individuals with any given CVD subtype also had other CVDs, after age standardisation.

CONCLUSIONS

CVM is common. The majority of women with any specific CVD subtype eventually develop at least one other. Clinical and public health guidelines for CVD management should acknowledge this high likelihood of CVM.

Detection and evaluation of signals associated with exposure to individual and combination of medications in pregnancy: a signal detection study protocol

INTRODUCTION

Considering the high prevalence of polypharmacy in pregnant women and the knowledge gap in the risk-benefit safety profile of their often-complex treatment plan, more research is needed to optimise prescribing. In this study, we aim to detect adverse and protective effect signals of exposure to individual and pairwise combinations of medications during pregnancy.

METHODS AND ANALYSIS

Using a range of real-world data sources from the UK, we aim to conduct a pharmacovigilance study to assess the safety of medications prescribed during the preconception period (3 months prior to conception) and first trimester of pregnancy. Women aged between 15 and 49 years with a record of pregnancy within the Clinical Practice Research Datalink (CPRD) Pregnancy Register, the Welsh Secure Anonymised Information Linkage (SAIL), the Scottish Morbidity Record (SMR) data sets and the Northern Ireland Maternity System (NIMATS) will be included. A series of case control studies will be conducted to estimate measures of disproportionality, detecting signals of association between a range of pregnancy outcomes and exposure to individual and combinations of medications. A multidisciplinary expert team will be invited to a signal detection workshop. By employing a structured framework, signals will be transparently assessed by each member of the team using a questionnaire appraising the signals on aspects of temporality, selection, time and measurement-related biases and confounding by underlying disease or comedications. Through group discussion, the expert team will reach consensus on each of the medication exposure-outcome signal, thereby excluding spurious signals, leaving signals suggestive of causal associations for further evaluation.

ETHICS AND DISSEMINATION

Ethical approval has been obtained from the Independent Scientific Advisory Committee, SAIL Information Governance Review Panel, University of St. Andrews Teaching and Research Ethics Committee and Office for Research Ethics Committees Northern Ireland (ORECNI) for access and use of CPRD, SAIL, SMR and NIMATS data, respectively.

Pharmacogenomics and health disparities, are we helping?

Pharmacogenomics has been at the forefront of precision medicine during the last few decades. Precision medicine carries the potential of improving health outcomes at both the individual as well as population levels. To harness the benefits of its initiatives, careful dissection of existing health disparities as they relate to precision medicine is of paramount importance. Attempting to address the existing disparities at the early stages of design and implementation of these efforts is the only guarantee of a successful just outcome. In this review, we glance at a few determinants of existing health disparities as they intersect with pharmacogenomics research and implementation. In our opinion, highlighting these disparities is imperative for the purpose of researching meaningful solutions. Failing to identify, and hence address, these disparities in the context of the current and future precision medicine initiatives would leave an already strained health system, even more inundated with inequality.

Premenstrual exacerbation of mental health disorders: a systematic review of prospective studies

Mental health disorders can be exacerbated during periods of hormonal fluctuation (e.g. pregnancy, menopause), and the risk factors for sensitivity to these fluctuations are similar to those of mental disorders (e.g. trauma). However, the extent to which hormonal fluctuations during the menstrual cycle impact symptoms of preexisting mental disorders remains unclear. Prospective methodology is considered the gold standard for measuring symptoms across the menstrual cycle. Thus, the aim of the review was to address this knowledge gap by summarising all available studies prospectively measuring symptoms of mental disorders across the menstrual cycle. A systematic review with narrative synthesis was conducted; meta-analysis was precluded due to methodological heterogeneity of included studies. Electronic databases MEDLINE, Embase, PyschINFO and CINAHL were systematically searched from inception. Risk of bias for individual studies was assessed using a modified version of the Newcastle-Ottawa Scale. The search identified 629 studies from which 35 met inclusion criteria. There was clear evidence of symptom exacerbation during the perimenstrual phase for psychotic disorders, panic disorder, eating disorders, depression and borderline personality disorder. Less consistent evidence was found for anxiety, and a different pattern of symptom exacerbation was observed in bipolar disorder. Sample size and methodology varied considerably amongst studies. Overall, there was mixed evidence for perimenstrual exacerbation across mental disorders, which could be partly explained by methodological limitations of the studies. However, hormonal fluctuations during the menstrual cycle may exacerbate psychiatric symptoms in a subgroup of individuals who are hormone sensitive.

Concentrations of antiseizure medications in breast milk of lactating women with epilepsy: A systematic review with qualitative synthesis

BACKGROUND

Recent position papers and guidelines encourage women with epilepsy (WWE) to exclusively breastfeed their infants because the benefits to their infants outweigh the potential adverse effects caused by exposure to antiseizure medications (ASMs).

OBJECTIVE

The objectives of this review were: to evaluate concentrations of ASMs in breastmilk of lactating WWE, qualitatively synthesize evidence that can be used to estimate theoretical doses as estimated daily intake (EDI) and relative infant dose (RID) of ASMs, and to evaluate potential risks to infants as a result of exposure to ASMs from breastmilk.

METHODS

This systematic review was registered in the International Prospective Register of Systematic Reviews (PROSPERO) as CRD42020223645. The databases: MEDLINE/PubMed, EMBASE, CINAHL/EBSCO, COCHRANE, SpringerLink, ScienceDirect, Summon, WHO International Clinical Trials Registry Platform, and SCOPUS were systematically searched. A qualitative synthesis was adopted in this study.

RESULTS

A total of 15 records were included in this systematic review. The included studies reported levels of 8 ASMs in the breastmilk of WWE. The highest RIDs of carbamazepine, lamotrigine, primidone, phenobarbital, gabapentin, valproic acid, ethosuximide, levetiracetam, and topiramate were 3.70%, 36.33%, 4.96%, 3.15%, 4.37%, 1.90%, 31.49%, 12.50%, and 12.18%, respectively. Breastfeeding might be limited or even discontinued when signs of excessive sedation/drowsiness and/or poor weight gain are evident on infants exposed to primidone and phenobarbital, ethosuximide/primidone, or ethosuximide/phenobarbital.

CONCLUSIONS

Concentrations of ASMs can be detected in breastmilk of WWE and plasma/serum of infants exposed via breastmilk. Healthcare providers and WWE might use the findings of this study to make informed decisions on the safety of breastfeeding while taking ASMs.

The Integration of Sex and Gender Considerations Into Biomedical Research: Lessons From International Funding Agencies

To improve the outcomes of research and medicine, government-based international research funding agencies have implemented various types of policies and mechanisms with respect to sex as a biological variable and gender as a sociocultural factor. After the 1990s, the US National Institutes of Health (NIH), the Canadian Institutes of Health Research (CIHR), and the European Commission (EC) began requesting that applicants address sex and gender considerations in grant proposals, and offering resources to help the scientific community integrate sex and gender into biomedical research. Although it is too early to analyze data on the success of all of the policies and mechanisms implemented, here we review the use both of carrots (incentives) and sticks (requirements) developed to motivate researchers and the entire scientific research enterprise to consider sex and gender influences on health and in science. The NIH focused on sex as a biological variable (SABV) aligned with an initiative to enhance reproducibility through rigor and transparency; CIHR instituted a sex- and gender-based analysis (SGBA) policy; and the EC required the integration of the "gender dimension," which incorporates sex, gender, and intersectional analysis into research and innovation. Other global efforts are briefly summarized. Although we are still learning what works, we share lessons learned to improve the integration of sex and gender considerations into research. In conjunction with refining and expanding the policies of funding agencies and mechanisms, private funders/philanthropic groups, editors of peer-reviewed journals, academic institutions, professional organizations, ethics boards, health care systems, and industry also need to make concerted efforts to integrate sex and gender into research, and we all must bridge across silos to promote systemwide solutions throughout the biomedical enterprise. For example, policies that encourage researchers to disaggregate data by sex and gender, the development of tools to better measure gender effects, or policies similar to SABV and/or SGBA adopted by private funders would accelerate progress. Uptake, accountability for, and a critical appraisal of sex and gender throughout the biomedical enterprise will be crucial to achieving the goal of relevant, reproducible, replicable, and responsible science that will lead to better evidence-based, personalized care for all, but especially for women.