Racial/ethnic differences in drug disposition and response: Review of recently approved drugs

Diversity Plans and Postmarketing Studies: First Impressions of Anticipated Diversity Requirements in the United States

INTRODUCTION

Recent Food and Drug Administration (FDA) draft guidelines are intended to improve representation and formalize the assessment of race and ethnicity in drug development, but how regulators and industry stakeholders plan to implement and enforce new requirements is still being determined.

MATERIALS AND METHODS

Here, a 10-question survey was developed to assess the experiences of industry stakeholders in developing diversity plans. These survey results informed an analysis of postmarketing studies to understand how diversity requirements have been enforced to date.

RESULTS AND DISCUSSION

Among 13 survey responders, experience submitting and receiving feedback on diversity plans was limited. A variety of challenges have been associated with developing these plans, including questions regarding regulatory guidance. Sponsors have utilized several data sources, including real-world datasets, to define enrollment goals. Diversity-related postmarketing studies most commonly related to oncologic diseases, and endpoints frequently related to efficacy. Most marketing applications associated with diversity-related postmarketing studies received Orphan drug designation (ODD) and Accelerated Approval.

CONCLUSIONS

These results show that industry experience with diversity plans remains limited in the absence of finalized regulatory guidance. Sponsors are beginning to develop strategies for submitting diversity plans, which include identifying key functions and data sources to support enrollment goals, although definitive conclusions were difficult to draw from the small responder pool. In the postmarketing setting, studies are already underway to improve the understanding of racial and ethnic differences in responses to approved drugs. Development programs relating to oncology, which has historically suffered from a lack of diverse representation, have been a primary focus of such studies thus far.

Transferring care to enhance access to early-phase cancer clinical trials: Protocol to evaluate a novel program

Involving diverse populations in early-phase (phase I and II) cancer clinical trials is critical to informed therapeutic development. However, given the growing costs and complexities of early-phase trials, trial activation and enrollment barriers may be greatest for these studies at healthcare facilities that provide care to the most diverse patient groups, including those in historically underserved communities (e.g., safety-net healthcare systems). To promote diverse and equitable access to early-phase cancer clinical trials, we are implementing a novel program for the transfer of care to enhance access to early-phase cancer clinical trials. We will then perform a mixed-methods study to determine perceptions and impact of the program. Specifically, we will screen, recruit, and enroll diverse patients from an urban, integrated safety-net healthcare system to open and active early-phase clinical trials being conducted in a university-based cancer center. To evaluate this novel program, we will: (1) determine program impact and efficiency; and (2) determine stakeholder experience with and perceptions of the program. To achieve these goals, we will conduct preliminary cost analyses of the program. We will also conduct surveys and interviews with patients and caregivers to elucidate program impact, challenges, and areas for improvement. We hypothesize that broadening access to early-phase cancer trials conducted at experienced centers may improve equity and diversity. In turn, such efforts may enhance the efficiency and generalizability of cancer clinical research.

Barriers to diverse clinical trial participation in Duchenne muscular dystrophy: Engaging Hispanic/Latina caregivers and health professionals

BACKGROUND

Despite the increasing availability of clinical trials in Duchenne muscular dystrophy, racial/ethnic minorities and other populations facing health disparities remain underrepresented in clinical trials evaluating products for Duchenne. We sought to understand the barriers faced by Hispanic/Latino families specifically and underrepresented groups more generally to clinical trial participation in Duchenne.

METHODS

We engaged two participant groups: Hispanic/Latino caregivers of children with Duchenne in the US, including Puerto Rico, and health professionals within the broader US Duchenne community. Caregiver interviews explored attitudes towards and experiences with clinical trials, while professional interviews explored barriers to clinical trial participation among socio-demographically underrepresented families (e.g., low income, rural, racial/ethnic minority, etc.). Interviews were analyzed aggregately and using a thematic analysis approach. An advisory group was engaged throughout the course of the study to inform design, conduct, and interpretation of findings generated from interviews.

RESULTS

Thirty interviews were conducted, including with 12 Hispanic/Latina caregivers and 18 professionals. We identified barriers to clinical trial participation at various stages of the enrollment process. In the initial identification of patients, barriers included lack of awareness about trials and clinical trial locations at clinics that were less likely to serve diverse patients. In the prescreening process, barriers included ineligibility, anticipated non-compliance in clinical trial protocols, and language discrimination. In screening, barriers included concerns about characteristics of the trial, as well as mistrust/lack of trust. In consent and recruitment, barriers included lack of timely decision support, logistical factors (distance, time, money), and lack of translated study materials.

CONCLUSIONS

Numerous barriers hinder participation in Duchenne clinical trials for Hispanic/Latino families and other populations experiencing health disparities. Addressing these barriers necessitates interventions across multiple stages of the clinical trial enrollment process. Recommendations to enhance participation opportunities include developing clinical trial decision support tools, translating prominent clinical trials educational resources such as ClinicalTrials.gov, fostering trusting family-provider relationships, engaging families in clinical trial design, and establishing ethical guidelines for pre-screening potentially non-compliant patients.

A single-dose, randomized, open-label, four-period, crossover equivalence trial comparing the clinical similarity of the proposed biosimilar rupatadine fumarate to reference Wystamm® in healthy Chinese subjects

Purpose

The aim of this study was to evaluate the bioequivalence of two formulations of rupatadine (10-mg tablets) under fasting and fed conditions in healthy Chinese subjects.

Methods

A total of 72 subjects were randomly assigned to the fasting cohort (n = 36) and fed cohort (n = 36). Each cohort includes four single-dose observation periods and 7-day washout intervals. Blood samples were collected at several timepoints for up to 72 h post-dose. The plasma concentration of rupatadine and the major active metabolites (desloratadine and 3-hydroxydesloratadine) were analyzed by a validated HPLC-MS/MS method. The non-compartmental analysis method was employed to determine the pharmacokinetic parameters. Based on the within-subject standard deviation of the reference formulation, a reference-scaled average bioequivalence or average bioequivalence method was used to evaluate the bioequivalence of the two formulations.

Results

For the fasting status, the reference-scaled average bioequivalence method was used to evaluate the bioequivalence of the maximum observed rupatadine concentration (Cmax; subject standard deviation > 0.294), while the average bioequivalence method was used to evaluate the bioequivalence of the area under the rupatadine concentration-time curve from time 0 to the last detectable concentration (AUC0-t) and from time 0 to infinity (AUC0-∞). The geometric mean ratio (GMR) of the test/reference for Cmax was 95.91%, and the upper bound of the 95% confidence interval was 95.91%. For AUC0-t and AUC0-∞ comparisons, the GMR and 90% confidence interval (CI) were 98.76% (93.88%-103.90%) and 98.71% (93.93%-103.75%), respectively. For the fed status, the subject standard deviation values of Cmax, AUC0-t, and AUC0-∞ were all <0.294; therefore, the average bioequivalence method was used. The GMR and 90% CI for Cmax, AUC0-t, and AUC0-∞ were 101.19% (91.64%-111.74%), 98.80% (94.47%-103.33%), and 98.63% (94.42%-103.03%), respectively. The two-sided 90% CI of the GMR for primary pharmacokinetic endpoints of desloratadine and 3-hydroxydesloratadine was also within 80%-125% for each cohort. These results met the bioequivalence criteria for highly variable drugs. All adverse events (AEs) were mild and transient.

Conclusion

The test drug rupatadine fumarate showed a similar safety profile to the reference drug Wystamm® (J. Uriach y Compañía, S.A., Spain), and its pharmacokinetic bioequivalence was confirmed in healthy Chinese subjects based on fasting and postprandial status.

Clinical trial registration

http://www.chinadrugtrials.org.cn/index.html, identifier CTR20213217.

Demographic Diversity of Clinical Trials for Therapeutic Drug Products: A Systematic Review of Recently Published Articles, 2017-2022

The US Food and Drug Administration (FDA) encourages the use of enrollment practices that will lead to clinical trials that reflect the population most likely to use the therapeutic product (drug or biologic), if approved. In doing so, the benefit-risk profile of the product may be assessed more completely and offer patients and their health care providers a better understanding of the drug profile and greater confidence in clinical trial results. The objective of this systematic review was to assess recent literature on the demographic diversity of clinical trial participants, describe the methods used in defining clinical trial diversity, and address knowledge gaps to enhance clinical trial diversity. Our literature search initially yielded 246 articles. After applying our eligibility criteria, we conducted a full-text review and analyzed the contents of the 28 remaining articles in our systematic review. Eleven (39%) of the 28 articles used a reference standard to compare the participation of populations in clinical trials to assess diversity. The majority of the 28 articles reported on adult participants; only 5 included pediatric populations. Most articles found that women and minority populations were underrepresented in clinical trials. Some articles proposed solutions to improve clinical trial diversity; however, several did not comment on clinical trial diversity. Despite a growing emphasis on demographic diversity in research, certain populations continue to be underrepresented in clinical trials. There is a need to standardize the definition of diversity in clinical trials. Future research into effective enrollment approaches and appropriate reference standards could improve demographic diversity.

Effective growth hormone replacement with once-weekly somapacitan in Japanese children with growth hormone deficiency: Results from REAL4, a phase 3 clinical trial

OBJECTIVE

Somapacitan is a long-acting growth hormone (GH) derivative developed for the treatment of GH deficiency (GHD). This study evaluates the efficacy and tolerability of somapacitan in Japanese children with GHD after 104 weeks of treatment and after switch from daily GH.

DESIGN

Subanalysis on Japanese patients from a randomised, open-labelled, controlled parallel-group phase 3 trial (REAL4, NCT03811535).

PATIENTS AND MEASUREMENTS

Thirty treatment-naïve patients were randomised 2:1 to somapacitan (0.16 mg/kg/week) or daily GH (0.034 mg/kg/day) up to Week 52, after which all patients received somapacitan. Height velocity (HV; cm/year) at Weeks 52 and 104 were the primary measurements. Additional assessments included HV SD score (SDS), height SDS, bone age, insulin-like growth factor-I (IGF-I) SDS, and observer-reported outcomes.

RESULTS

At Week 52, observed mean HV was similar between treatment groups (10.3 vs. 9.8 cm/year for somapacitan and daily GH, respectively). Similar HVs between groups were also observed at Week 104: 7.4 cm/year after continuous somapacitan treatment (soma/soma) and 7.9 cm/year after 1-year somapacitan treatment following switch from daily GH (switch). Other height-related endpoints supported continuous growth. IGF-I SDS increased in both groups with mean IGF-I SDS within -2 and +2 during the study. Somapacitan was well tolerated, one mild injection site reaction was reported, with no reports of injection site pain. Patient preference questionnaires showed that most patients and their caregivers (90.9%) who switched treatment at Week 52 preferred once-weekly somapacitan over daily GH treatment.

CONCLUSIONS

Somapacitan showed sustained efficacy in Japanese children with GHD over 104 weeks and for 52 weeks after switching from daily GH. Somapacitan was well tolerated and preferred over daily GH.

Disparities in Race and Ethnicity Reporting and Representation for Clinical Trials in Stroke: 2010 to 2020

BACKGROUND

Racial and ethnic minority groups are at a higher stroke risk and have poor poststroke outcomes. The aim of this study was to assess the frequency of race reporting and proportions of race and ethnicity representation in stroke-related clinical trials.

METHODS AND RESULTS

This is a descriptive study of stroke-related clinical trials completed between January 1, 2010 and December 31, 2020, and registered on ClinicalTrials.gov. Trials conducted in the United States, related to stroke and enrolling participants ≥18 years, were considered eligible. Trials were reviewed for availability of published results, data on race and ethnicity distribution, and trial characteristics. Overall, 60.1% of published trials reported race or ethnicity of participants, with a 2.6-fold increase in reporting between 2010 and 2020. White patients represented 65.0% of the participants, followed by 24.8% Black, 2.4% Asian or Pacific Islander, and <1% Native American and multiracial participants; 9.0% were of Hispanic ethnicity. These trends remained consistent throughout the study period, except in 2018, when a higher proportion of Black participants (53.1%) was enrolled compared with White participants (35.8%). Trials with the National Institutes of Health/federal funding had higher enrollment of Black (28.1%) and Hispanic (13.8%) participants compared with other funding sources. Behavioral intervention trials had the most diverse enrollment with equal enrollment of Black and White participants (41.1%) and 14.5% Hispanic participants.

CONCLUSIONS

Despite the increase in race and ethnicity reporting between 2010 and 2020, the representation of racial and ethnic minority groups remains low in stroke trials. Funding initiatives may influence diversity efforts in trial enrollment.

Genetic diversity of variants involved in drug response among Tunisian and Italian populations toward personalized medicine

Adverse drug reactions (ADR) represent a significant contributor to morbidity and mortality, imposing a substantial financial burden. Genetic ancestry plays a crucial role in drug response. The aim of this study is to characterize the genetic variability of selected pharmacogenes involved with ADR in Tunisians and Italians, with a comparative analysis against global populations. A cohort of 135 healthy Tunisians and 737 Italians were genotyped using a SNP array. Variants located in 25 Very Important Pharmacogenes implicated in ADR were extracted from the genotyping data. Distribution analysis of common variants in Tunisian and Italian populations in comparison to 24 publicly available worldwide populations was performed using PLINK and R software. Results from Principle Component and ADMIXTURE analyses showed a high genetic similarity among Mediterranean populations, distinguishing them from Sub-Saharan African and Asian populations. The Fst comparative analysis identified 27 variants exhibiting significant differentiation between the studied populations. Among these variants, four SNPs rs622342, rs3846662, rs7294, rs5215 located in SLC22A1, HMGCR, VKORC1 and KCNJ11 genes respectively, are reported to be associated with ethnic variability in drug responses. In conclusion, correlating the frequencies of genotype risk variants with their associated ADRs would enhance drug outcomes and the implementation of personalized medicine in the studied populations.

Predicting drug outcome of population via clinical knowledge graph

Optimal treatments depend on numerous factors such as drug chemical properties, disease biology, and patient characteristics to which the treatment is applied. To realize the promise of AI in healthcare, there is a need for designing systems that can capture patient heterogeneity and relevant biomedical knowledge. Here we present PlaNet, a geometric deep learning framework that reasons over population variability, disease biology, and drug chemistry by representing knowledge in the form of a massive clinical knowledge graph that can be enhanced by language models. Our framework is applicable to any sub-population, any drug as well drug combinations, any disease, and to a wide range of pharmacological tasks. We apply the PlaNet framework to reason about outcomes of clinical trials: PlaNet predicts drug efficacy and adverse events, even for experimental drugs and their combinations that have never been seen by the model. Furthermore, PlaNet can estimate the effect of changing population on the trial outcome with direct implications on patient stratification in clinical trials. PlaNet takes fundamental steps towards AI-guided clinical trials design, offering valuable guidance for realizing the vision of precision medicine using AI.

SNVstory: inferring genetic ancestry from genome sequencing data

BACKGROUND

Genetic ancestry, inferred from genomic data, is a quantifiable biological parameter. While much of the human genome is identical across populations, it is estimated that as much as 0.4% of the genome can differ due to ancestry. This variation is primarily characterized by single nucleotide variants (SNVs), which are often unique to specific genetic populations. Knowledge of a patient's genetic ancestry can inform clinical decisions, from genetic testing and health screenings to medication dosages, based on ancestral disease predispositions. Nevertheless, the current reliance on self-reported ancestry can introduce subjectivity and exacerbate health disparities. While genomic sequencing data enables objective determination of a patient's genetic ancestry, existing approaches are limited to ancestry inference at the continental level.

RESULTS

To address this challenge, and create an objective, measurable metric of genetic ancestry we present SNVstory, a method built upon three independent machine learning models for accurately inferring the sub-continental ancestry of individuals. We also introduce a novel method for simulating individual samples from aggregate allele frequencies from known populations. SNVstory includes a feature-importance scheme, unique among open-source ancestral tools, which allows the user to track the ancestral signal broadcast by a given gene or locus. We successfully evaluated SNVstory using a clinical exome sequencing dataset, comparing self-reported ethnicity and race to our inferred genetic ancestry, and demonstrate the capability of the algorithm to estimate ancestry from 36 different populations with high accuracy.

CONCLUSIONS

SNVstory represents a significant advance in methods to assign genetic ancestry, opening the door to ancestry-informed care. SNVstory, an open-source model, is packaged as a Docker container for enhanced reliability and interoperability. It can be accessed from https://github.com/nch-igm/snvstory .

East Asian patients who received immunotherapy-based therapy associated with improved survival benefit in advanced non-small cell lung cancer: An updated meta-analysis

BACKGROUND

Immune checkpoint inhibitors (ICIs) combined with chemotherapy have been recommended as the standard treatment for advanced NSCLC patients without driver-gene mutations. However, there are different genetic characteristics and biological traits of tumors between non-East Asian (nEA) and East Asian (EA) patients with NSCLC, which may contribute to differences in the efficacy of ICIs in different ethnic populations. Previous findings regarding differences in the efficacy of ICIs among ethnic groups have been inconsistent. Therefore, we performed a meta-analysis by collecting published data to investigate the clinical outcomes of ICIs for EA NSCLC patients compared to nEA patients.

METHODS

Overall survival (OS) and progression-free survival (PFS) were used to access the difference in survival outcomes between the two populations. Subgroup analyses were performed based on the line of ICIs, the use of ICIs alone or in combination, and the type of ICIs.

RESULTS

A total of 9826 NSCLC patients from 21 randomized controlled trials (RCTs) with 4064 EAs were included, which involved PD-1, PD-L1, and CTLA-4 inhibitors. EA NSCLC patients who received ICIs-based therapy were associated with significantly improved survival benefits in OS (p = 0.02) compared with nEA patients. Subgroup analysis indicated that EA patients receiving first-line ICIs showed significantly superior OS compared with nEA patients (p = 0.007). Chemo-ICIs treatment showed significant advantages in terms of OS (p = 0.002) and PFS (p = 0.02) among EA patients compared to nEA patients. In addition, PD-1 inhibitors were associated with improved OS among both EA patients and nEA patients compared with PD-L1 inhibitors.

CONCLUSION

EA NSCLC patients who received ICIs-based therapy were associated with significantly improved survival benefits compared with nEA NSCLC patients. Earlier intervention with ICIs and combination treatment was more recommended for EA NSCLC patients. Moreover, PD-1 inhibitors are associated with prolonged survival among both EA and nEA patients.

REPRESENTATION AND EXTRAPOLATION: EVIDENCE FROM CLINICAL TRIALS. THE QUARTERLY JOURNAL OF ECONOMICS 2024;139:575-635. [PMID: 38859982 PMCID: PMC11164133 DOI: 10.1093/qje/qjad036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0]

This article examines the consequences and causes of low enrollment of Black patients in clinical trials. We develop a simple model of similarity-based extrapolation that predicts that evidence is more relevant for decision-making by physicians and patients when it is more representative of the group being treated. This generates the key result that the perceived benefit of a medicine for a group depends not only on the average benefit from a trial but also on the share of patients from that group who were enrolled in the trial. In survey experiments, we find that physicians who care for Black patients are more willing to prescribe drugs tested in representative samples, an effect substantial enough to close observed gaps in the prescribing rates of new medicines. Black patients update more on drug efficacy when the sample that the drug is tested on is more representative, reducing Black-white patient gaps in beliefs about whether the drug will work as described. Despite these benefits of representative data, our framework and evidence suggest that those who have benefited more from past medical breakthroughs are less costly to enroll in the present, leading to persistence in who is represented in the evidence base.

Diversifying the research landscape: Assessing barriers to research for underrepresented populations in an online study of Parkinson's disease

Despite federal regulations mandating the inclusion of underrepresented groups in research, recruiting diverse participants remains challenging. Identifying and implementing solutions to recruitment barriers in real time might increase the participation of underrepresented groups. Hence, the present study created a comprehensive dashboard of barriers to research participation. Barriers to participation were recorded in real time for prospective participants. Overall, 230 prospective participants expressed interest in the study but were unable to join due to one or more barriers. Awareness of the most common obstacles to research in real time will give researchers valuable data to meaningfully modify recruitment methods.

Race in clinical trials in Sweden: How regulatory and medical standards in clinical research trump the post-racial discourse

The post-racial discourse that permeates many Western European countries depicts society as having moved beyond race concepts and classifications. This article focuses on Sweden, a country that, in line with the post-racial thinking, declares race to be an offensive and unscientific concept. The article investigates what happens when this post-racial discourse meets clinical research standards that encourage, if not demand, the collection of data on patient race. Through an analysis of the reporting of patient race in 76 multinational trials with at least one study site in Sweden, and a review of the regulatory and medical standards and trial documents that direct the collection of patient race in trials, we show how race classification is kept intact in trials despite conflicting with post-racial norms and conventions. Notably, our findings diverge from the way racialisation is typically assumed to work in Sweden and related countries. We argue this is possible because the two incompatible understandings of race are 'distributed' (Mol, 2002, The body multiple: Ontology in medical practice, Duke University Press) among different social worlds. The distribution, we propose, is upheld through the paucity of major debate on why and how race classification should be carried out in clinical trials in Europe as this allows contradictions to remain unspoken.

Effects of food and ethnicity on the pharmacokinetics of venadaparib, a next-generation PARP inhibitor, in healthy Korean, Caucasian, and Chinese male subjects

AIM

Venadaparib is a next-generation poly(ADP-ribose) polymerase inhibitor under development for treating gastric cancer. This study aimed to evaluate the effects of food and ethnicity on the pharmacokinetics (PKs) and safety of venadaparib after a single oral administration in healthy Korean, Caucasian, and Chinese male subjects.

METHODS

In this randomized, open-label, single-dose, two-sequence, two-period, and crossover study, Korean and Caucasian subjects received venadaparib 80 mg in each period (fasted or fed state) with a seven-day washout. In an open-label, single-dose study, Chinese subjects received venadaparib 80 mg only in the fasted state. Serial blood samples were collected up to 72 h post-dosing.

RESULTS

Twelve subjects from each ethnic group completed the study. The geometric mean ratios (90% confidence intervals) of the maximum plasma concentration (Cmax) and area under the plasma concentration-time curve from time zero to the last measurable time point (AUClast) of venadaparib for the fed to fasted state were 0.82 (0.7457-0.9094) and 1.02 (0.9088-1.1339) in Koreans, and 0.77 (0.6871-0.8609) and 0.96 (0.9017-1.0186) in Caucasians, respectively. No statistically significant differences were observed in Cmax (P-value = 0.45) or AUClast (P-value = 0.30) among the three ethnic groups. A single venadaparib dose was well-tolerated.

CONCLUSION

The overall systemic exposure of venadaparib was not affected by the high-fat meal, despite delayed absorption with a decreased Cmax in the fed state. The PK profiles were comparable among the Korean, Caucasian, and Chinese subjects. A single venadaparib 80 mg dose was safe and well-tolerated in both fasted and fed states.

Racial and ethnic diversity in global neuroscience clinical trials

Background

Despite efforts to increase diversity in neuroscience trials, racial and ethnic minority groups remain underrepresented. Disparities in clinical trial participation could reflect unequal opportunities to participate and may contribute to decreased generalizability of findings and failure to identify important differences in efficacy and safety outcomes.

Methods

We retrospectively reviewed the F. Hoffmann-La Roche database for global, multicenter, neuroscience clinical trials from February 2016 to February 2021 and summarized and stratified race and ethnicity distributions by clinical trial therapeutic area and by country. These data were then compared to national population data for each study's targeted age group (available for studies conducted in the US, Canada, and the UK). The underrepresentation or overrepresentation of each racial and ethnic group was summarized.

Results

The analysis population included 8015 participants from 47 countries. Globally, 85.6 % of participants were White, 7.1 % were Asian, 1.6 % were Black, 1.3 % were American Indian or Alaska Native, less than 0.1 % were Native Hawaiian or other Pacific Islander, 0.7 % were of multiple races, and 3.6 % were of other/unknown race. White individuals predominated in all but one trial. Black individuals were underrepresented in all trials but one. Asian individuals were overrepresented in approximately 20 % of trials. In the US, 7.3 % of participants were of Hispanic or Latino ethnicity vs 16.4 % of the US population.

Conclusion

The findings and learnings from this summary and analysis demonstrate the need for continued awareness and new approaches in designing studies that reflect population diversity.

Polypharmacy and Associated Health Outcomes in the PARI-HD Study

Background

A growing body of evidence points to potential risks associated with polypharmacy (using ≥5 medications) in older adults, but most evidence is derived from studies where racial and ethnic minorities remain underrepresented among research participants.

Objective

Investigate the association between polypharmacy and cognitive function, subjective health state, frailty, and falls in Hispanic older adults.

Methods

Panama Aging Research Initiative-Health Disparities (PARI-HD) is a community-based cohort study of older adults free of dementia at baseline. Cognitive function was measured with a neuropsychological test battery. Frailty assessment was based on the Fried criteria. Subjective health state and falls were self-reported. Linear and multinomial logistic regression analyses were used to examine association.

Results

Baseline evaluations of 468 individuals with a mean age of 69.9 years (SD = 6.8) were included. The median number of medications was 2 (IQR: 1-4); the rate of polypharmacy was 19.7% (95% confidence interval [CI] = 16.1-23.3). Polypharmacy was inversely associated with self-rated overall health (b =-5.89, p < 0.01). Polypharmacy users had 2.3 times higher odds of reporting two or more falls in the previous 12 months (odds ratio [OR] = 2.31, 95% CI = 1.06-5.04). Polypharmacy was independently associated with Fried's criteria for pre-frailty (OR = 2.90, 95% CI = 1.36-5.96) and frailty (OR = 5.14, 95% CI = 1.83-14.42). Polypharmacy was not associated with cognitive impairment.

Conclusions

These findings illustrate the potential risks associated with polypharmacy among older adults in Panama and may inform interventions to improve health outcomes in this population.

Data-driven strategies for increasing patient diversity in Bristol Myers Squibb-sponsored US oncology clinical trials

BACKGROUND/AIMS

Determining whether clinical trial findings are applicable to diverse, real-world patient populations can be challenging when the full demographic characteristics of enrolled patients are not consistently reported. Here, we present the results of a descriptive analysis of racial and ethnic demographic information for patients in Bristol Myers Squibb (BMS)-sponsored oncology trials in the United States (US) and describe factors associated with increased patient diversity.

METHODS

BMS-sponsored oncology trials conducted at US sites with study enrollment dates between 1 January 2013 and 31 May 2021 were analyzed. Patient race/ethnicity information was self-reported in case report forms. As principal investigators (PIs) did not report their own race/ethnicity, a deep-learning algorithm (ethnicolr) was used to predict PI race/ethnicity. Trial sites were linked to counties to understand the role of county-level demographics. The impact of working with patient advocacy and community-based organizations to increase diversity in prostate cancer trials was analyzed. The magnitude of associations between patient diversity and PI diversity, US county demographics, and recruitment interventions in prostate cancer trials were assessed by bootstrapping.

RESULTS

A total of 108 trials for solid tumors were analyzed, including 15,763 patients with race/ethnicity information and 834 unique PIs. Of the 15,763 patients, 13,968 (89%) self-reported as White, 956 (6%) Black, 466 (3%) Asian, and 373 (2%) Hispanic. Among 834 PIs, 607 (73%) were predicted to be White, 17 (2%) Black, 161 (19%) Asian, and 49 (6%) Hispanic. A positive concordance was observed between Hispanic patients and PIs (mean = 5.9%; 95% confidence interval (CI) = 2.4, 8.9), a less positive concordance between Black patients and PIs (mean = 1.0%; 95% CI = -2.7, 5.5), and no concordance between Asian patients and PIs. Geographic analyses showed that more non-White patients enrolled in study sites in counties with higher proportions of non-White residents (e.g. a county population that was 5%-30% Black had 7%-14% more Black patients enrolled in study sites). Following purposeful recruitment efforts in prostate cancer trials, 11% (95% CI = 7.7, 15.3) more Black men enrolled in prostate cancer trials.

CONCLUSION

Most patients in these clinical trials were White. PI diversity, geographic diversity, and recruitment efforts were related to greater patient diversity. This report constitutes an essential step in benchmarking patient diversity in BMS US oncology trials and enables BMS to understand which initiatives may increase patient diversity. While complete reporting of patient characteristics such as race/ethnicity is critical, identifying diversity improvement tactics with the highest impact is essential. Strategies with the greatest concordance to clinical trial patient diversity should be implemented to make meaningful improvements to the diversity of clinical trial populations.

Overcoming Black Americans' Psychological and Cognitive Barriers to Clinical Trial Participation: Effects of News Framing and Exemplars

This study examines how news features (framing and the use of exemplars) can help overcome two common barriers (psychological and cognitive) impeding Black American participation in clinical trials. In an online experiment, Black participants (N = 390) viewed social media news posts varying in framing (focus on psychological vs. cognitive barriers) and use of an exemplar (present vs. absent and White vs. Black) and then responded to outcome measures including perceived message effectiveness, message attitudes, and intention to participate in clinical trials. The findings illustrate that including a racially matched (i.e. Black) exemplar improves attitudes toward clinical trial messages. Most notably, featuring a race-matched exemplar increases intention to participate in a trial when the messages discuss psychological barriers. These findings enhance our understanding of how messages can be better designed to increase Black American participation in clinical trials, thereby contributing to reducing health inequities and improving health outcomes.

A Conference (Missingness in Action) to Address Missingness in Data and AI in Health Care: Qualitative Thematic Analysis

BACKGROUND

Missingness in health care data poses significant challenges in the development and implementation of artificial intelligence (AI) and machine learning solutions. Identifying and addressing these challenges is critical to ensuring the continued growth and accuracy of these models as well as their equitable and effective use in health care settings.

OBJECTIVE

This study aims to explore the challenges, opportunities, and potential solutions related to missingness in health care data for AI applications through the conduct of a digital conference and thematic analysis of conference proceedings.

METHODS

A digital conference was held in September 2022, attracting 861 registered participants, with 164 (19%) attending the live event. The conference featured presentations and panel discussions by experts in AI, machine learning, and health care. Transcripts of the event were analyzed using the stepwise framework of Braun and Clark to identify key themes related to missingness in health care data.

RESULTS

Three principal themes-data quality and bias, human input in model development, and trust and privacy-emerged from the analysis. Topics included the accuracy of predictive models, lack of inclusion of underrepresented communities, partnership with physicians and other populations, challenges with sensitive health care data, and fostering trust with patients and the health care community.

CONCLUSIONS

Addressing the challenges of data quality, human input, and trust is vital when devising and using machine learning algorithms in health care. Recommendations include expanding data collection efforts to reduce gaps and biases, involving medical professionals in the development and implementation of AI models, and developing clear ethical guidelines to safeguard patient privacy. Further research and ongoing discussions are needed to ensure these conclusions remain relevant as health care and AI continue to evolve.

Safety, pharmacokinetics, and efficacy of belantamab mafodotin monotherapy in Japanese patients with relapsed or refractory multiple myeloma: DREAMM-11

Belantamab mafodotin, a B-cell maturation antigen-targeting antibody-drug conjugate (ADC), was investigated in Japanese patients with relapsed/refractory multiple myeloma in Part 1 of the phase I DREAMM-11 study. Patients who had received ≥ 2 prior lines of therapy including a proteasome inhibitor and immunomodulatory agent were eligible. Eight patients received belantamab mafodotin monotherapy at 2.5 mg/kg (n = 4) or 3.4 mg/kg (n = 4) by intravenous infusion every 3 weeks on day 1 of each cycle until disease progression or unacceptable toxicity. Primary objectives were tolerability and safety, and secondary objectives included pharmacokinetics (PK) and efficacy. The most common Grade ≥ 3 adverse event was thrombocytopenia/platelet count decreased (2.5 mg/kg cohort, 100% [4/4]; 3.4 mg/kg cohort, 75% [3/4]), and no dose-limiting toxicities were observed. Ocular events, including keratopathy findings, were observed in most patients (2.5 mg/kg cohort, 100% [4/4]; 3.4 mg/kg cohort, 75% [3/4]) and were managed with dose modifications. All resolved within the study period. Overall response rates were 50% (2/4) in the 2.5 mg/kg cohort and 25% (1/4) in the 3.4 mg/kg cohort. Although PK profiles in Japanese patients varied, individual exposures overlapped with previous results in Western populations. Belantamab mafodotin monotherapy was generally well-tolerated and demonstrated clinical activity at both doses.

Therapeutic drug monitoring in India: A strength, weakness, opportunity and threats analysis

Over the last three to four decades, Therapeutic Drug Monitoring (TDM) has shaped itself as therapeutic drug management, an integral component of precision medicine. The practice of TDM is not extensive in India, despite being one of the fastest-growing economies in the world. It is currently limited to a few academic medical centres and teaching hospitals. Apart from the immunosuppressive drugs, several other therapeutic areas, such as anticancer, antifungal, antibiotic and antitubercular, have demonstrated great potential to improve patient outcomes in Indian settings. Factors such as the higher prevalence of nutritional deficiencies, tropical diseases, widespread use of alternative medicines, unalike pharmacogenomics and sparse population-specific data available on therapeutic ranges of several drugs make the population of this subcontinent unique regarding the relevance of TDM. Despite the impact of TDM in clinical science and its widespread application, TDM has failed to receive the attention it deserves in India. This review intends to bring out a strength, weakness, opportunity and threats (SWOT) analysis for TDM in India so that appropriate steps for fostering the growth of TDM could be envisioned. The need of the hour is the creation of a cooperative group including all the stakeholders, such as TDM professionals, clinicians and the government and devising a National Action Plan to strengthen TDM. Nodal TDM centres should be established, and pilot programmes should be rolled out to identify the thrust areas for TDM in the country, capacity building and creating awareness to integrate TDM into mainstream clinical medicine.

Race, pigmentation, and the human skin barrier-considerations for dermal absorption studies

A functional human skin barrier is critical in limiting harmful exposure to environmental agents and regulating the absorption of intentionally applied topical drug and cosmetic products. Inherent differences in the skin barrier between consumers due to extrinsic and intrinsic factors are an important consideration in the safety assessment of dermatological products. Race is a concept often used to describe a group of people who share distinct physical characteristics. The observed predisposition of specific racial groups to certain skin pathologies highlights the potential differences in skin physiology between these groups. In the context of the human skin barrier, however, the current data correlating function to race often conflict, likely as a consequence of the range of experimental approaches and controls used in the existing works. To date, a variety of methods have been developed for evaluating compound permeation through the human skin, both in vivo and in vitro. Additionally, great strides have been made in the development of reconstructed human pigmented skin models, with the flexibility to incorporate melanocytes from donors of different race and pigmentation levels. Together, the advances in the production of reconstructed human skin models and the increased adoption of in vitro methodologies show potential to aid in the standardization of dermal absorption studies for discerning racial- and skin pigmentation-dependent differences in the human skin barrier. This review analyzes the existing data on skin permeation, focusing on its interaction with race and skin pigmentation, and highlights the tools and research opportunities to better represent the diversity of the human populations in dermal absorption assessments.

Safety and effectiveness of oral medium to high dose blonanserin in patients with schizophrenia: subgroup analysis from a prospective, multicenter, post-marketing surveillance study in mainland China

BACKGROUND

Blonanserin (BNS) had been undergoing post-market surveillance (PMS) since September 2018. Using the surveillance data, we did this analysis to assess the safety and effectiveness of different doses of BNS to explore a sufficient dose range of BNS in Chinese patients with schizophrenia (SZ).

METHODS

A 12-week, prospective, observational, single-arm, multicenter, open-label PMS was conducted. In this analysis, we divided the patients from PMS into low, medium to high, and high dose groups based on the dose of BNS they received, with medium to high dose group being the focus. The Brief Psychiatric Rating Scale (BPRS) scores at week 2 or 4, 6 or 8, and 12 were calculated to evaluate the effectiveness of BNS in improving psychiatric symptoms. The safety of BNS was reported as the incidence of adverse drug reactions.

RESULTS

364 patients were included in the medium to high dose group, of which 321 completed the surveillance, with a dropout rate of 11.8%. The mean daily dose was 15.1 ± 1.92 mg. The BPRS total score was 50.1 ± 11.95 at baseline and decreased to 26.6 ± 7.43 at 12 weeks (P < 0.001). When compared with other groups, the median to high dose group achieved significantly more reduction in BPRS score at week 12 (P = 0.004 versus low dose and P = 0.033 versus higher dose). Extrapyramidal symptoms [EPS (46.4%)] were the most common adverse reactions in the medium to high group. The average weight gain during the surveillance was 0.5 ± 2.56 kg and prolactin elevation occurred in 2.2% patients. Most adverse reactions were mild.

CONCLUSIONS

BNS at medium to high doses (mean 15.1 mg/d) significantly improved symptoms of SZ and was well-tolerated. Most ADRs were mild, and the likelihood of causing metabolic side effects and prolactin elevations was low. Medium to high dose of BNS is a more potent treatment choice for SZ.

TRIAL REGISTRATION NUMBER

ChiCTR2100048734. Date of registration: 2021/07/15 (retrospectively registered).

Racial and Ethnic Diversity in Janus Kinase Inhibitor Alopecia Areata Clinical Trials: A Systematic Review

Background

Alopecia areata (AA) is a chronic autoimmune disease that causes non-scarring alopecia. A few studies have shown increased odds of AA in Black individuals compared to White individuals and increased odds of AA in Latinos compared to non-Latinos. Another study showed that Asians have lower odds of AA compared to Whites. Baricitinib, a Janus kinase inhibitor (JAKi), became the first Federal Drug Administration (FDA)-approved medication for adult patients with severe AA in June 2022.

Objectives

The aim of this review was to analyze published JAKi AA randomized controlled trials to characterize and assess the racial and ethnic representation of participants. Animal studies, studies unrelated to AA, and studies not investigating JAKis were excluded.

Methods

PubMed and clinicaltrials.gov were searched for systematic reviews of clinical trials between 1990 and 2022.

Results

Six clinical trials were included with a total of 1,690 subjects. Four trials were industry-sponsored, while two were university-sponsored. The three largest races represented included White (59.9%), Asian (28.0%), and African American/Black (8.1%). Three out of the 10 patients identified as Hispanic. None of the trials included sub-analyses of clinical efficacy based on race and/or ethnicity.

Conclusions

Our results show that populations with lower odds of AA (Whites and Asians) are overrepresented in JAKi AA clinical trials compared to Black and Hispanic/Latino patients.

A Rubric to Center Equity in Obstetrics and Gynecology Research

The Steering Committee for the Obstetrics & Gynecology special edition titled "Racism in Reproductive Health: Lighting a Path to Health Equity" formed a working group to create an equity rubric. The goal was to provide a tool to help researchers systematically center health equity as they conceptualize, design, analyze, interpret, and evaluate research in obstetrics and gynecology. This commentary reviews the rationale, iterative process, and literature guiding the creation of the equity rubric.

Reporting and Representativeness of Race, Ethnicity, and Socioeconomic Status in Systemic Sclerosis Randomized Trials: An Observational Study

OBJECTIVE

To assess how and to what extent socioeconomic status and ethnicity/race of participants are reported in randomized controlled trials (RCTs) on systemic sclerosis (SSc), and to estimate the representativeness of different ethnic/racial groups in SSc RCTs.

METHODS

We searched all published RCTs on SSc indexed in PubMed. We retrieved information on main features of RCTs published from 2000 onward and recorded for each study whether race/ethnicity was reported; how ethnicity/race was defined and assigned; and the number of patients included for each racial/ethnic group. Multivariable logistic regression was used to identify factors associated with race/ethnicity reporting. Proportion of races/ethnicities included in US-based RCTs on SSc was examined and compared with US demographic data.

RESULTS

We included 106 studies, mostly conducted in Europe (42%) or North America (25%), published after 2010 (74%), and enrolling a total of 6,693 patients. About one-third of studies provided information about race/ethnicity, with no improved reporting over time. Only 2 papers reported patient's socioeconomic status. Study location (US or intercontinental) was the only significant factor associated with a better reporting of race/ethnicity in multivariable analysis. In studies where race/ethnicity was reported, White patients were mostly represented (79%), followed by Asian (7%), and African American (6%). In the sensitivity analysis limited to studies from the US, underrepresentation of African American patients was observed in the 2000-2010 time period, but not later.

CONCLUSION

Documentation of race/ethnicity and socioeconomic status is poor in RCTs on SSc. More effort should be made to document race/ethnicity and socioeconomic status and to promote diversity in SSc RCTs.

From target discovery to clinical drug development with human genetics

The substantial investments in human genetics and genomics made over the past three decades were anticipated to result in many innovative therapies. Here we investigate the extent to which these expectations have been met, excluding cancer treatments. In our search, we identified 40 germline genetic observations that led directly to new targets and subsequently to novel approved therapies for 36 rare and 4 common conditions. The median time between genetic target discovery and drug approval was 25 years. Most of the genetically driven therapies for rare diseases compensate for disease-causing loss-of-function mutations. The therapies approved for common conditions are all inhibitors designed to pharmacologically mimic the natural, disease-protective effects of rare loss-of-function variants. Large biobank-based genetic studies have the power to identify and validate a large number of new drug targets. Genetics can also assist in the clinical development phase of drugs-for example, by selecting individuals who are most likely to respond to investigational therapies. This approach to drug development requires investments into large, diverse cohorts of deeply phenotyped individuals with appropriate consent for genetically assisted trials. A robust framework that facilitates responsible, sustainable benefit sharing will be required to capture the full potential of human genetics and genomics and bring effective and safe innovative therapies to patients quickly.

Evaluation of the Levels of Low-dose Topical Atropine (0.01%) in Aqueous and Vitreous Humor in Human Eyes

SIGNIFICANCE

This is the first human study that confirmed penetration of 0.01% topical atropine in aqueous and vitreous humor in live human eyes. This supports the possible mode of action of atropine via posterior ocular structures. This knowledge will help improve the outcomes in myopia management.

PURPOSE

The purpose of this study was to evaluate penetration of low-dose atropine 0.01% in aqueous and vitreous humor.

METHODS

In this cross-sectional interventional pilot study, 48 cataract cases were divided into four groups (12 each), and 30 epiretinal membrane/macular hole cases were divided into three groups (10 each). One drop of 0.01% atropine was put in the eye to be operated. Aqueous humor samples were taken from patients undergoing cataract surgery at 60 ± 15 minutes in group 1, 120 ± 15 minutes in group 2, 240 ± 15 minutes in group 3, and 360 ± 15 minutes in group 4. Vitreous humor samples were taken from patients undergoing vitreoretinal surgery for epiretinal membrane/macular hole at 120 ± 15 minutes in group 1, 240 ± 15 minutes in group 2, and 360 ± 15 minutes in group 3. The assay of atropine was performed using liquid chromatography-mass spectrometry.

RESULTS

Median concentrations of atropine in aqueous samples were 1.33 ng/mL (min-max, 0.6 to 6.46 ng/mL; interquartile range [IQR], 3.05 ng/mL) at 60 minutes, 2.60 ng/mL (min-max, 0.63 to 4.62 ng/mL; IQR, 1.97 ng/mL) at 120 minutes, 1.615 ng/mL (min-max, 0.1 to 3.74 ng/mL; IQR, 1.62 ng/mL) at 240 minutes, and 1.46 ng/mL (min-max, 0.47 to 2.80 ng/mL; IQR, 1.73 ng/mL) at 360 minutes, and those in vitreous samples were 0.102 ng/mL (min-max, 0 to 0.369 ng/mL; IQR, 0.366 ng/mL) at 120 minutes, 0.1715 ng/mL (min-max, 0 to 0.795 ng/mL; IQR, 0.271 ng/mL) at 240 minutes, and 0.2495 ng/mL (min-max, 0 to 0.569 ng/mL; IQR, 0.402 ng/mL) at 360 minutes, respectively.

CONCLUSIONS

Measurable concentration of low-dose topical atropine (0.01%) was noted in aqueous and vitreous humor after instillation of a single drop of low-dose atropine. Muscarinic receptors located in the posterior segment such as the choroid and retina could be the possible site of action of low-dose atropine in myopia.

Model-based meta-analysis of ethnic differences and their variabilities in clearance of oral drugs classified by clearance mechanism

In this study, the ethnic ratios (ERs) of oral clearance between Japanese and Western populations were subjected to model-based meta-analysis (MBMA) for 81 drugs evaluated in 673 clinical studies. The drugs were classified into eight groups according to the clearance mechanism, and the ER for each group was inferred together with interindividual variability (IIV), interstudy variability (ISV), and inter-drug variability within a group (IDV) using the Markov chain Monte Carlo (MCMC) method. The ER, IIV, ISV, and IDV were dependent on the clearance mechanism, and, except for particular groups such as drugs metabolized by polymorphic enzymes or their clearance mechanism is not confirmative, the ethnic difference was found to be generally small. The IIV was well-matched across ethnicities, and the ISV was approximately half of the IIV as the coefficient of variation. To adequately assess ethnic differences in oral clearance without false detections, phase I studies should be designed with full consideration of the mechanism of clearance. This study suggests that the methodology of classifying drugs based on the mechanism that causes ethnic differences and performing MBMA with statistical techniques such as MCMC analysis is helpful for a rational understanding of ethnic differences and for strategic drug development.

Race, Ethnicity, and Pharmacogenomic Variation in the United States and the United Kingdom

The relevance of race and ethnicity to genetics and medicine has long been a matter of debate. An emerging consensus holds that race and ethnicity are social constructs and thus poor proxies for genetic diversity. The goal of this study was to evaluate the relationship between race, ethnicity, and clinically relevant pharmacogenomic variation in cosmopolitan populations. We studied racially and ethnically diverse cohorts of 65,120 participants from the United States All of Us Research Program (All of Us) and 31,396 participants from the United Kingdom Biobank (UKB). Genome-wide patterns of pharmacogenomic variation-6311 drug response-associated variants for All of Us and 5966 variants for UKB-were analyzed with machine learning classifiers to predict participants' self-identified race and ethnicity. Pharmacogenomic variation predicts race/ethnicity with averages of 92.1% accuracy for All of Us and 94.3% accuracy for UKB. Group-specific prediction accuracies range from 99.0% for the White group in UKB to 92.9% for the Hispanic group in All of Us. Prediction accuracies are substantially lower for individuals who identified with more than one group in All of Us (16.7%) or as Mixed in UKB (70.7%). There are numerous individual pharmacogenomic variants with large allele frequency differences between race/ethnicity groups in both cohorts. Frequency differences for toxicity-associated variants predict hundreds of adverse drug reactions per 1000 treated participants for minority groups in All of Us. Our results indicate that race and ethnicity can be used to stratify pharmacogenomic risk in the US and UK populations and should not be discounted when making treatment decisions. We resolve the contradiction between the results reported here and the orthodoxy of race and ethnicity as non-genetic, social constructs by emphasizing the distinction between global and local patterns of human genetic diversity, and we stress the current and future limitations of race and ethnicity as proxies for pharmacogenomic variation.

Understanding organizational perspectives from clinical research stakeholders involved in recruitment for biopharmaceutical-sponsored clinical trials in the United States: Recommendations for organizational initiatives to improve access and inclusivity in clinical research

Background

Equitable representation of racially and ethnically diverse subpopulations in clinical trials continues to be a problem, and trial participants do not always reflect the demographics of the population that the investigational product will be used to treat. The imperativeness of equitable representation of clinically relevant populations in clinical trials has implications for improving health outcomes, increasing knowledge about the safety and efficacy of new treatments across a wider population, and broadening access to innovative treatment options offered in clinical trials.

Methods

The purpose of this study was to understand organizational elements that are involved in the active implementation of racially and ethnically diverse inclusive recruitment practices for biopharmaceutical-funded trials in the United States. Semi-structured, in-depth interviews were used in this qualitative study. The interview guide was designed to explore the perceptions, practices and experiences of 15 clinical research site professionals related to recruiting diverse trial participants. Data analysis utilized an inductive coding process.

Results

Five themes were identified pertaining to the actual implementation of inclusive recruitment practices that provided explanations for organizational components: 1) provision of culturally appropriate, general disease and clinical trial education 2) organizational structure tailored for diverse recruitment 3) strong sense of mission related to improving healthcare through clinical research 4) culture of inclusion 5) inclusive recruitment practices evolving based on learning.

Conclusion

The findings from this study offer insight into improving access to clinical trials by focusing on organizational change initiatives.

Efficacy and safety of luseogliflozin in Caucasian patients with type 2 diabetes: results from a phase III, randomized, placebo-controlled, clinical trial

INTRODUCTION

Most data demonstrating the efficacy and safety of luseogliflozin (luseo) in people with type 2 diabetes mellitus (T2DM) originate from the Japanese population. This study evaluated luseo versus placebo (PCB) as add-on to metformin in a Caucasian population with inadequately controlled T2DM.

RESEARCH DESIGN AND METHODS

This was a multicenter, randomized, double-blind, PCB-controlled, parallel-group study. Patients aged 18-75 years with inadequately controlled T2DM (glycated hemoglobin (HbA1c) ≥7% to ≤10% (≥53 to ≤86 mmol/mol)) despite a diet and exercise program and on a stable metformin regimen were eligible. Patients were randomized to one of three luseo groups (2.5, 5.0 and 10.0 mg) or PCB for 12 weeks (W12). The primary endpoint was change in HbA1c expressed as least-square means from baseline (W0) to W12.

RESULTS

A total of 328 patients were randomized: PCB (n=83) and luseo 2.5 mg (n=80), 5.0 mg (n=86), and 10.0 mg (n=79). Mean age (±SD) was 58.5±8.8 years; 64.6% were women; body mass index was 31.5±3.4 kg/m2; and HbA1c was 8.54±0.70. At W12, mean reductions in HbA1c from W0 were -0.98%, -1.09%, -1.18%, and -0.73% in the luseo 2.5, 5.0 and 10.0 mg, and PCB groups, respectively, all of which were statistically significant. Compared with PCB, HbA1c levels were significantly decreased by 0.25% (p=0.045), 0.36% (p=0.006), and 0.45% (p=0.001) in the luseo 2.5, 5.0, and 10.0 mg groups, respectively. In all luseo dose groups, reductions in body weight were statistically significant compared with PCB. Data from the safety analysis were consistent with the known luseo safety profile.

CONCLUSIONS

All doses of luseo as add-on to metformin in Caucasian patients with uncontrolled T2DM demonstrated significant efficacy in decreasing HbA1c after W12 of treatment.

TRIAL REGISTRATION NUMBER

ISRCTN39549850.

Demographic and Socioeconomic Factors in Prospective Retina-Focused Clinical Trial Screening and Enrollment

Historically marginalized populations are disproportionately affected by many diseases that commonly affect the retina, yet they have been traditionally underrepresented in prospective clinical trials. This study explores whether this disparity affects the clinical trial enrollment process in the retina field and aims to inform future trial recruitment and enrollment. Age, gender, race, ethnicity, preferred language, insurance status, social security number (SSN) status, and median household income (estimated using street address and zip code) for patients referred to at least one prospective, retina-focused clinical trial at a large, urban, retina-based practice were retrospectively extracted using electronic medical records. Data were collected for the 12-month period from 1 January 2022, through 31 December 2022. Recruitment status was categorized as Enrolled, Declined, Communication (defined as patients who were not contacted, were contacted with no response, were waiting for a follow-up, or were scheduled for screening following a clinical trial referral.), and Did Not Qualify (DNQ). Univariable and multivariable analyses were used to determine significant relationships between the Enrolled and Declined groups. Among the 1477 patients, the mean age was 68.5 years old, 647 (43.9%) were male, 900 (61.7%) were White, 139 (9.5%) were Black, and 275 (18.7%) were Hispanic. The distribution of recruitment status was: 635 (43.0%) Enrolled, 232 (15.7%) Declined, 290 (19.6%) Communication, and 320 (21.7%) DNQ. In comparing socioeconomic factors between the Enrolled and Declined groups, significant odds ratios were observed for age (p < 0.02, odds ratio (OR) = 0.98, 95% confidence interval (CI) [0.97, 1.00]), and between patients who preferred English versus Spanish (p = 0.004, OR = 0.35, 95% CI [0.17, 0.72]. Significant differences between the Enrolled and Declined groups were also observed for age (p < 0.05), ethnicity (p = 0.01), preferred language (p < 0.05), insurance status (p = 0.001), and SSN status (p < 0.001). These factors may contribute to patient participation in retina-focused clinical trials. An awareness of these demographic and socioeconomic disparities may be valuable to consider when attempting to make clinical trial enrollment an equitable process for all patients, and strategies may be useful to help address these challenges.

Race and Ethnicity Reporting and Enrollment Disparities in Clinical Trials Leading to FDA Approvals for Breast Cancer Between 2010 and 2020

BACKGROUND

We determined the race and ethnicity demographics and reporting trends of clinical trials leading to Food and Drug Administration (FDA) approvals for breast cancer.

METHODS

We collected enrollment and reporting data from clinical trials leading to FDA novel and new use approvals for breast cancer from 2010 to 2020 from Drugs@FDA, ClinicalTrials.gov, and associated journal manuscripts. Enrollment demographics were compared to the US cancer population estimates obtained using National Cancer Institute-Surveillance, Epidemiology, and End Results and 2010 US Census databases.

RESULTS

Seventeen drugs received approval based on 18 clinical trials with a total enrollment of 12,334. For approvals from 2010 to 2015 and from 2016 to 2020, there was no significant difference in race (80% vs. 91.6%, P = .34) or ethnicity reporting (20% vs. 33.3%, P = .5) on ClinicalTrials.Gov, manuscripts, and FDA labels. For trials that reported race and ethnicity, White, Asian, Black, and Hispanic patients represented 73.8%, 16.4%, 3.7%, and 10.4% of trial participants. Relative to their US cancer incidence, Black (31% of expected) patients were underrepresented compared with White (90% of expected), Hispanic (115%), and Asian (327% of expected) patients.

CONCLUSION

We observed no significant difference in race and ethnicity reporting in pivotal clinical trials leading to FDA approval for breast cancer from 2010 to 2020. Black patients were underrepresented in these pivotal trials relative to White, Hispanic, and Asian patients. Ethnicity reporting remained low throughout the study period. Innovative approaches are needed to ensure equitable benefit of novel therapeutics.

Factors Associated With Enrollment into Inpatient Coronavirus Disease 2019 Randomized Controlled Trials: A Cross-sectional Analysis

Background

Clinical trials for coronavirus disease 2019 (COVID-19) have struggled to achieve diverse patient enrollment, despite underrepresented groups bearing the largest burden of the disease and, presumably, being most in need of the treatments under investigation.

Methods

To assess the willingness of patients to enroll into inpatient COVID-19 clinical trials when invited, we conducted a cross-sectional analysis of adults hospitalized with COVID-19 who were approached regarding enrollment. Associations between patient and temporal factors and enrollment were assessed by multivariable logistic regression analysis.

Results

A total of 926 patients were included in this analysis. Overall, Hispanic/Latinx ethnicity was associated with a nearly half-fold decrease in the likelihood to enroll (adjusted odds ratio [aOR], 0.60 [95% confidence interval {CI}, .41-.88]). Greater baseline disease severity (aOR, 1.09 [95% CI, 1.02-1.17]), age 40-64 years (aOR, 1.83 [95% CI, 1.03-3.25]), and age ≥65 years (aOR, 1.92 [95% CI, 1.08-3.42]) were each independently associated with higher likelihood to enroll. Over the course of the pandemic, patients were less likely to enroll during the summer 2021 wave in COVID-19-related hospitalizations (aOR, 0.14 [95% CI, .10-.19]) compared with patients from the first wave in winter 2020.

Conclusions

The decision to enroll into clinical trials is multifactorial. Amid a pandemic disproportionately affecting vulnerable groups, Hispanic/Latinx patients were less likely to participate when invited, whereas older adults were more likely. Future recruitment strategies must consider the nuanced perceptions and needs of diverse patient populations to ensure equitable trial participation that advances the quality of healthcare for all.

A Comprehensive Analysis of 21 Actionable Pharmacogenes in the Spanish Population: From Genetic Characterisation to Clinical Impact

The implementation of pharmacogenetics (PGx) is a main milestones of precision medicine nowadays in order to achieve safer and more effective therapies. Nevertheless, the implementation of PGx diagnostics is extremely slow and unequal worldwide, in part due to a lack of ethnic PGx information. We analysed genetic data from 3006 Spanish individuals obtained by different high-throughput (HT) techniques. Allele frequencies were determined in our population for the main 21 actionable PGx genes associated with therapeutical changes. We found that 98% of the Spanish population harbours at least one allele associated with a therapeutical change and, thus, there would be a need for a therapeutical change in a mean of 3.31 of the 64 associated drugs. We also identified 326 putative deleterious variants that were not previously related with PGx in 18 out of the 21 main PGx genes evaluated and a total of 7122 putative deleterious variants for the 1045 PGx genes described. Additionally, we performed a comparison of the main HT diagnostic techniques, revealing that after whole genome sequencing, genotyping with the PGx HT array is the most suitable solution for PGx diagnostics. Finally, all this information was integrated in the Collaborative Spanish Variant Server to be available to and updated by the scientific community.

Pharmacokinetics, bioequivalence and safety of two formulations of ticagrelor in healthy Chinese subjects: Effects of food

Ticagrelor is the first reversible ADP P2Y12 receptor antagonist approved to treat acute coronary syndrome. To investigate the effects of food on the pharmacokinetics (PK), bioequivalence and safety of ticagrelor tablets in healthy Chinese volunteers, 32 healthy subjects were randomly assigned to an open-labelled, single-centre, two-preparation, two-sequence, two-cycle, double-crossover trial under fasting and fed conditions, with a washout period of 7 days. Plasma concentrations of ticagrelor and AR-C124910XX were determined using LC-MS/MS. The C_max , AUC_0-t and AUC_0-∞ of the reference and test tablets were determined using ANOVA and the USFDA bioequivalence statistical criterion of 90% CI for the 80%-125% range (p ≤ 0.05) of the geometric mean ratios. Adverse events (AEs) were observed and recorded. Food consumption increased the AUC_0-t and AUC_0-∞ (p < 0.01) of ticagrelor, lowered the C_max (p < 0.01) and prolonged the t_12z (p < 0.05) of AR-C124910XX. The effects of food on the reference preparations were comparable. Formulation, time and sequence had no significant effects on the PK parameters (p ≧ 0.05). The test formulation was bioequivalent to the reference formulation as the geometric mean ratios under fasting and fed conditions were within equivalence limits (80%-125%). No serious AEs were reported. Thus, test and reference ticagrelor are bioequivalent in Chinese subjects under fasting and fed conditions.

Mapping two decades of multiple sclerosis rehabilitation trials: A systematic scoping review and call to action to advance the study of race and ethnicity in rehabilitation research

BACKGROUND

Multiple sclerosis (MS), is prevalent across many racial and ethnic groups, and disproportionately impacts racially minoritized populations. Rehabilitation interventions are an important component of comprehensive MS care. Yet, we do not know the extent to which MS rehabilitation trials consider race and ethnicity in defining eligibility criteria, planning recruitment strategies, selecting outcome measures, supporting intervention delivery, and designing approaches to promote adherence and retention.

METHODS

We conducted a scoping review of five databases (MEDLINE, CINAHL, Cochrane Central, EMBASE, and Web of Science) to locate randomized controlled rehabilitation trials published from January 2002 to March 2022. We extracted data from relevant studies, assessed their methodological quality, and narratively summarized results. Reporting of this review is in line with the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR).

RESULTS

Fifty-six studies of neurorehabilitation (n = 3), cognitive rehabilitation (n = 6), exercise training (n = 9) and self-management (n = 38) interventions were included in this review. The studies were predominantly from North America (n = 44; 73%) or Europe (n = 12; 20%) and included 4280 participants. Most participants (n = 3669; 86%) were Caucasians. Less than 10% of participants were Black (n = 282), Latinx/Hispanic (n = 60), Asian (n = 46), Indigenous (n = 7), or Arab (n = 2). Few studies discussed how race and/or ethnicity were considered in trial planning or execution.

CONCLUSIONS

Without consistent and systematic attention to race and ethnicity, both in terms of trial design and reporting, it is impossible to know how MS rehabilitation interventions will translate into real-world applications. This call to action - to the MS rehabilitation research community to ensure trial and intervention processes that accommodate the needs of diverse racial and ethnic groups - is an important first step in addressing inequities in rehabilitation care for persons with MS.

Clinical Trial Site Perspectives and Practices on Study Participant Diversity and Inclusion

Clinical trial participant populations fail to adequately represent target populations that drugs are intended to serve. Improving racial and ethnic diversity of clinical trial participants is essential for generalizable, quality clinical research results and ensuring social and medical equity. Site-level clinical research professionals (CRPs) have unique insights on diversity improvement strategies for clinical trial enrollment. A survey was distributed to current CRPs working at clinical research sites in the United States to describe current practices and perceptions of the impact these practices have on participant diversity. Subsequently, descriptive quantitative analysis and inductive content analysis were performed. For the practices surveyed, there are discrepancies between frequency of use and perceived impact on diversity enrollment. Common current practices include phone-based or telemedicine study visits, electronic/digital data collection, and participant compensation. However, we report travel reimbursement and services, translated documents and translator services, and adequate participant compensation as most impactful on diverse enrollment. A multistakeholder approach is necessary to enhance diversity and inclusion (D&I) of study participants. Besides large-scale solutions such as countering community distrust, actionable steps are needed by sponsors and study sites to improve D&I of trial participants. Study leadership at the sponsor, contract research organization (CRO), and site-level should create diversity plans prior to study start, and CRO and sponsor budgets should consider D&I strategies during study planning. Planning should incorporate strategies to improve D&I including adequate participant compensation, translated documents and translator services, and travel reimbursements.

A Review of the Evolving Landscape of Inclusive Research and Improved Clinical Trial Access

Current clinical research does not reflect the diversity of patient populations, despite continued recommendations to increase enrollment of under-represented racial and ethnic groups. The ramifications of this lack of trial diversity are important because of potential differences between races and ethnicities in response to therapies, which have been observed for drugs across indications. Nonrepresentative research populations limit the generalizability of study results, which may lead to questions about safety and efficacy in certain subgroups of patients and hinder regulators, healthcare providers, and patients in their ability to adequately consider the benefits and risks of a therapeutic treatment across all populations. Renewed efforts to address healthcare disparities and increase diversity in clinical trials have demonstrated that inclusive trials are achievable and can provide scientifically rigorous results, and, thus, should stimulate greater action across all stakeholders. Ensuring that studies throughout the clinical development process include representative populations is a scientific imperative to advance health equity, racial justice, and trust in the safety and efficacy of medical therapies. This article reviews the long-standing lack of diversity and barriers to enrollment of diverse and representative populations in clinical trials, outlines the current evolving trial landscape and the efforts of stakeholders, and provides examples from scientifically rigorous inclusive trials. The goal is to share learnings in a wider context of opportunities to enhance diversity, equity, and inclusion in clinical development while ensuring the safety and efficacy of medical therapies in all populations of patients, and in doing so, provide wider patient access to therapeutic treatments.

Community engagement and clinical trial diversity: Navigating barriers and co-designing solutions-A report from the "Health Equity through Diversity" seminar series

INTRODUCTION

In recent years, there has been increasing awareness of the lack of diversity among clinical trial participants. Equitable representation is key when testing novel therapeutic and non-therapeutic interventions to ensure safety and efficacy across populations. Unfortunately, in the United States (US), racial and ethnic minority populations continue to be underrepresented in clinical trials compared to their White counterparts.

METHODS

Two webinars in a four-part series, titled "Health Equity through Diversity," were held to discuss solutions for advancing health equity through diversifying clinical trials and addressing medical mistrust in communities. Each webinar was 1.5 hours long, beginning with panelist discussions followed by breakout rooms where moderators led discussions related to health equity and scribes recorded each room's conversations. The diverse groups of panelists included community members, civic representatives, clinician-scientists, and biopharmaceutical representatives. Scribe notes from discussions were collected and thematically analyzed to uncover the central themes.

RESULTS

The first two webinars were attended by 242 and 205 individuals, respectively. The attendees represented 25 US states, four countries outside the US, and shared various backgrounds including community members, clinician/researchers, government organizations, biotechnology/biopharmaceutical professionals, and others. Barriers to clinical trial participation are broadly grouped into the themes of access, awareness, discrimination and racism, and workforce diversity. Participants noted that innovative, community-engaged, co-designed solutions are essential.

CONCLUSIONS

Despite racial and ethnic minority groups making up nearly half of the US population, underrepresentation in clinical trials remains a critical challenge. The community engaged co-developed solutions detailed in this report to address access, awareness, discrimination and racism, and workforce diversity are critical to advancing clinical trial diversity.

Research Ambassador Program: An innovative educational approach to addressing underrepresentation of minority populations in clinical research

Clinical trial participation among historically underrepresented populations remains low in large part due to mistrust of academic institutions and research investigators. Mistrust may be ever greater today given misinformation related to COVID-19. The Research Ambassador Program is an interactive educational workshop delivered by Promotoras de Salud/Community Health Workers and designed to both address common myths, fears, and concerns about research and encourage research participation among underrepresented populations. An evaluation conducted with 819 Latino and Black participants demonstrated a change in behavior and intention to participate in a clinical trial, with half of participants enrolling in a clinical trial research registry.

Genetic Variation in CYP2D6 and SLC22A1 Affects Amlodipine Pharmacokinetics and Safety

Amlodipine is an antihypertensive drug with unknown pharmacogenetic biomarkers. This research is a candidate gene study that looked for associations between amlodipine pharmacokinetics and safety and pharmacogenes. Pharmacokinetic and safety data were taken from 160 volunteers from eight bioequivalence trials. In the exploratory step, 70 volunteers were genotyped for 44 polymorphisms in different pharmacogenes. CYP2D6 poor metabolizers (PMs) showed higher half-life (t1/2) (univariate p-value (puv) = 0.039, multivariate p-value (pmv) = 0.013, β = -5.31, R2 = 0.176) compared to ultrarapid (UMs), normal (NMs) and intermediate metabolizers (IMs). SLC22A1 rs34059508 G/A genotype was associated with higher dose/weight-corrected area under the curve (AUC72/DW) (puv = 0.025; pmv = 0.026, β = 578.90, R2 = 0.060) compared to the G/G genotype. In the confirmatory step, the cohort was increased to 160 volunteers, who were genotyped for CYP2D6, SLC22A1 and CYP3A4. In addition to the previous associations, CYP2D6 UMs showed a lower AUC72/DW (puv = 0.046, pmv = 0.049, β = -68.80, R2 = 0.073) compared to NMs, IMs and PMs and the SLC22A1 rs34059508 G/A genotype was associated with thoracic pain (puv = 0.038) and dizziness (puv = 0.038, pmv = 0.014, log OR = 10.975). To our knowledge, this is the first work to report a strong relationship between amlodipine and CYP2D6 and SLC22A1. Further research is needed to gather more evidence before its application in clinical practice.

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.

Population designations in biomedical research: Limitations and perspectives

In biomedical research, population differences are of central interest. Variations in the frequency and severity of diseases and in treatment effects among human subpopulation groups are common in many medical conditions. Unfortunately, the practices in terms of subpopulation labeling do not exhibit the level of rigor one would expect in biomedical research, especially when studying multifactorial diseases such as cancer or atherosclerosis. The reporting of population differences in clinical research is characterized by large disparities in practices, and fraught with methodological issues and inconsistencies. The actual designations such as "Black" or "Asian" refer to broad and heterogeneous groups, with a great discrepancy among countries. Moreover, the use of obsolete concepts such as "Caucasian" is unfortunate and imprecise. The use of adequate labeling to reflect the scientific hypothesis needs to be promoted. Furthermore, the use of "race/ethnicity" as a unique cause of human heterogeneity may distract from investigating other factors related to a medical condition, particularly if this label is employed as a proxy for cultural habits, diet, or environmental exposure. In addition, the wide range of opinions among researchers does not facilitate the attempts made for resolving this heterogeneity in labeling. "Race," "ethnicity," "ancestry," "geographical origin," and other similar concepts are saturated with meanings. Even if the feasibility of a global consensus on labeling seems difficult, geneticists, sociologists, anthropologists, and ethicists should help develop policies and practices for the biomedical field.

Precision Medicine in Diabetes

Tailoring treatment or management to groups of individuals based on specific clinical, molecular, and genomic features is the concept of precision medicine. Diabetes is highly heterogenous with respect to clinical manifestations, disease progression, development of complications, and drug response. The current practice for drug treatment is largely based on evidence from clinical trials that report average effects. However, around half of patients with type 2 diabetes do not achieve glycaemic targets despite having a high level of adherence and there are substantial differences in the incidence of adverse outcomes. Therefore, there is a need to identify predictive markers that can inform differential drug responses at the point of prescribing. Recent advances in molecular genetics and increased availability of real-world and randomised trial data have started to increase our understanding of disease heterogeneity and its impact on potential treatments for specific groups. Leveraging information from simple clinical features (age, sex, BMI, ethnicity, and co-prescribed medications) and genomic markers has a potential to identify sub-groups who are likely to benefit from a given drug with minimal adverse effects. In this chapter, we will discuss the state of current evidence in the discovery of clinical and genetic markers that have the potential to optimise drug treatment in type 2 diabetes.

Racial and ethnic subgroup reporting in diabetes randomized controlled trials published from 2000 to 2020: A survey

BACKGROUND

It remained unknown about the status of and trends in racial/ethnic subgroup reporting in the diabetes trials over the past two decades.

OBJECTIVES

In this survey, we aimed to evaluate the current state of and temporal trends in subgroup reporting by race/ethnicity regarding the effects of interventions in diabetes randomized controlled trials (RCTs) from year 2000-2020 and to explore the potential trial factors in relation to racial/ethnic subgroup reporting.

METHODS

We searched electronic databases for eligible diabetes RCTs. The outcome was whether the trials had the event of racial/ethnic subgroup reporting regarding the intervention effects on trial primary outcomes. Poisson regression was used to assess the temporal trends in racial/ethnic subgroup reporting, and univariable logistic regression models were employed for evaluating trial factors related to racial/ethnic subgroup reporting.

RESULTS

A total of 405 diabetes RCTs were eligible for inclusion. There were 26 (6.42%) trials with racial/ethnic subgroup reporting. A chronological trend towards increased rates of racial/ethnic subgroup reporting was observed; however, the trend was not statistically significant (p = 0.07). Advanced patients' age (Odds ratio [OR] = 2.92, 95% confidence interval [CI]: 1.24-6.88), follow-up duration (OR = 3.53, 95% CI: 1.13-11.00), and BIPOC (Black, Indigenous, and People of Colour) enrolment (OR = 2.39, 95% CI: 1.01-5.62) were found to positively relate with racial/ethnic subgroup reporting, while the industrial funding was associated with decreased reporting (OR = 0.43, 95% CI: 0.19-0.97). Less than one fourth of the trials with racial/ethnic subgroup reporting predefined the subgroup analysis.

CONCLUSIONS

The majority of diabetes RCTs did not report intervention effects by racial/ethnic subgroup, which was not temporally improved over the past two decades. More efforts and strategies are needed to improve the racial/ethnic subgroup consideration and reporting in diabetes trials.