UNASSIGNED: Latinos report lower self-rated health (SRH) than non-Hispanic White persons. However, the association between SRH and medically diagnosed chronic diseases (MDCDs) remains understudied in Latino populations. This study assessed the relationship between a single-item SRH indicator and MDCD status among predominantly Latino adults in Puerto Rico.
UNASSIGNED: Participants (30-75 years; n=965) of the Puerto Rico Observational Study of Psychosocial, Environmental, and Chronic Disease Trends (PROSPECT) reported SRH (excellent/very good, good, or fair/poor) and MDCD (ever vs never). We performed multivariate logistic regressions to evaluate the association between SRH and MDCD, which adjusted for key socioeconomic, demographic, and behavioral confounders.
UNASSIGNED: Twenty-seven percent of participants reported excellent/very good SRH, 39% good, and 34% fair/poor. Participants with fair/poor SRH (vs excellent/very good) were more likely to report MDCD for painful inflammation (odds ratio [OR]=4.95 [95% CI, 3.27-7.48]), kidney disease (4.64 [2.16-9.97]), sleep disorder (4.47 [2.83-7.05]), migraine headaches (4.07 [2.52-6.58]), overweight/obesity (3.84 [2.51-5.88]), depression (3.61 [2.28-5.74]), hypertension (3.59 [2.43-5.32]), high blood sugar (3.43 [2.00-5.89]), cardiovascular disease (3.13 [2.01-4.87]), anxiety (2.87 [1.85-4.44]), arthritis (2.80 [1.83-4.30]), diabetes (2.46 [1.57-3.83]), respiratory problems (2.45 [1.59-3.79]), stomach problems (2.44 [1.57-3.81]), eye disease (2.42 [1.44-4.06]), gallbladder disease (2.34 [1.35-4.05]), liver disease (2.26 [1.38-3.70]), heartburn (2.25 [1.55-3.26]), hyperlipidemia (2.10 [1.44-3.06]), and thyroid conditions (2.04 [1.30-3.21]).
UNASSIGNED: SRH may reflect MDCD burden and serve as a valid screener to efficiently identify Latino individuals in high need of clinical services. This is relevant in Puerto Rico, where chronic disease rates remain high amid limited, disparate access to health care.

Hypertrophic cardiomyopathy (HCM) is a common inherited cardiac disorder characterized by marked clinical and genetic heterogeneity. Ethnic groups underrepresented in studies may have distinctive characteristics. We sought to evaluate the clinical and genetic landscape of Russian HCM patients. A total of 193 patients (52% male; 95% Eastern Slavic origin; median age 56 years) were clinically evaluated, including genetic testing, and prospectively followed to document outcomes. As a result, 48% had obstructive HCM, 25% had HCM in family, 21% were asymptomatic, and 68% had comorbidities. During 2.8 years of follow-up, the all-cause mortality rate was 2.86%/year. A total of 5.7% received an implantable cardioverter-defibrillator (ICD), and 21% had septal reduction therapy. A sequencing analysis of 176 probands identified 64 causative variants in 66 patients (38%); recurrent variants were MYBPC3 p.Q1233* (8), MYBPC3 p.R346H (2), MYH7 p.A729P (2), TPM1 p.Q210R (3), and FLNC p.H1834Y (2); 10 were multiple variant carriers (5.7%); 5 had non-sarcomeric HCM, ALPK3, TRIM63, and FLNC. Thin filament variant carriers had a worse prognosis for heart failure (HR = 7.9, p = 0.007). In conclusion, in the Russian HCM population, the low use of ICD and relatively high mortality should be noted by clinicians; some distinct recurrent variants are suspected to have a founder effect; and family studies on some rare variants enriched worldwide knowledge in HCM.

The lack of diversity in genomic datasets, currently skewed towards individuals of European ancestry, presents a challenge in developing inclusive biomedical models. The scarcity of such data is particularly evident in labeled datasets that include genomic data linked to electronic health records. To address this gap, this paper presents PopGenAdapt, a genotype-to-phenotype prediction model which adopts semi-supervised domain adaptation (SSDA) techniques originally proposed for computer vision. PopGenAdapt is designed to leverage the substantial labeled data available from individuals of European ancestry, as well as the limited labeled and the larger amount of unlabeled data from currently underrepresented populations. The method is evaluated in underrepresented populations from Nigeria, Sri Lanka, and Hawaii for the prediction of several disease outcomes. The results suggest a significant improvement in the performance of genotype-to-phenotype models for these populations over state-of-the-art supervised learning methods, setting SSDA as a promising strategy for creating more inclusive machine learning models in biomedical research.

Intraocular pressure (IOP) is the only modifiable risk factor for glaucoma, the leading cause of irreversible blindness worldwide. In this review, we summarize the findings of genome-wide association studies (GWASs) of IOP published in the past 10 years and prior to December 2022. Over 190 genetic loci and candidate genes associated with IOP have been uncovered through GWASs, although most of these studies were conducted in subjects of European and Asian ancestries. We also discuss how these common variants have been used to derive polygenic risk scores for predicting IOP and glaucoma, and to infer causal relationship with other traits and conditions through Mendelian randomization. Additionally, we summarize the findings from a recent large-scale exome-wide association study (ExWAS) that identified rare variants associated with IOP in 40 novel genes, six of which are drug targets for clinical treatment or are being evaluated in clinical trials. Finally, we discuss the need for future genetic studies of IOP to include individuals from understudied populations, including Latinos and Africans, in order to fully characterize the genetic architecture of IOP.

In data collection for predictive modeling, underrepresentation of certain groups, based on gender, race/ethnicity, or age, may yield less accurate predictions for these groups. Recently, this issue of fairness in predictions has attracted significant attention, as data-driven models are increasingly utilized to perform crucial decision-making tasks. Existing methods to achieve fairness in the machine learning literature typically build a single prediction model in a manner that encourages fair prediction performance for all groups. These approaches have two major limitations: (i) fairness is often achieved by compromising accuracy for some groups; (ii) the underlying relationship between dependent and independent variables may not be the same across groups. We propose a joint fairness model (JFM) approach for logistic regression models for binary outcomes that estimates group-specific classifiers using a joint modeling objective function that incorporates fairness criteria for prediction. We introduce an accelerated smoothing proximal gradient algorithm to solve the convex objective function, and present the key asymptotic properties of the JFM estimates. Through simulations, we demonstrate the efficacy of the JFM in achieving good prediction performance and across-group parity, in comparison with the single fairness model, group-separate model, and group-ignorant model, especially when the minority group\'s sample size is small. Finally, we demonstrate the utility of the JFM method in a real-world example to obtain fair risk predictions for underrepresented older patients diagnosed with coronavirus disease 2019 (COVID-19).

BACKGROUND: Fibromyalgia is a complex pain condition that affects mostly women. Given the disease\'s lack of understanding, patients report poor adherence to medication and mistrust of medical services. This study aims to describe the recruitment characteristics and non-adherence associated factors of fibromyalgia patients to an RCT.
METHODS: We performed a retrospective longitudinal analysis with data from our ongoing RCT. We investigated characteristics of subjects recruited, consented, and randomized. Adherence was studied using survival analysis techniques, and its associated factors were identified using Cox proportional hazards regression model.
RESULTS: 524 subjects were contacted, 269 were eligible, 61 consented and 40 subjects were randomized. Thirty-eight percent were non-adherent to the protocol with a median of visits of five. The recruitment survey reported that 90% would likely participate in RCTs, 52% had previous participation, and 19% were aware of RCTs by their physicians. Some barriers were investigator-related (staff\'s friendliness and receiving the results of their trial participation) and center-related (privacy-confidentiality issues and the institution\'s reputation), without difference between adherent and non-adherent participants. We report significant factors for non-adherence as VAS anxiety score of 5 or more (5.3 HR, p = 0.01), Body Mass Index (BMI) (0.91 HR, p = 0.041) and Quality of Life (QoL) - Personal development subdomain (0.89 HR, p = 0.046).
CONCLUSIONS: Recruitment and adherence of fibromyalgia patients is a challenge; however, they seem eager to participate in RCTs. We recommend creating a comfortable, friendly and trusting environment to increase the recruitment rate. Higher anxiety, lower BMI and lower quality of life were associated with a higher attrition rate.

BACKGROUND: There is a need of well-powered randomized clinical trials in fibromyalgia. However, challenges for recruitment are presented. This study aims to describe and assess the perception of barriers and facilitators and the associated factors for the participation of underrepresented and non-underrepresented fibromyalgia patients.
METHODS: We performed an online survey through REDCap (Research Electronic Data Capture) targeting fibromyalgia patients from April 7 to July 3, 2020 during the COVID-19 stay home mandate and it was restricted to the United States of America. We described and compared the survey characteristics between underrepresented and non-underrepresented participants, and we performed logistic regression models to assess the associated factors with clinical trial participation.
RESULTS: In total, 481 completed the survey including 168 underrepresented fibromyalgia patients. Only (1) 11.09 % reported previous participation in clinical trials and the significant perceived barriers were investigator-related (lack of friendliness of research staff and the opportunity to receive the results) and center-related (privacy and confidentiality policies, and the institution\'s reputation); (2) the participation rate and perceived barriers and facilitators were similar between underrepresented and non-underrepresented patients; and was positively associated with low income, higher age, and clinical trial awareness from their physician; and negatively associated with the perception of investigator-related barriers; and (4) for the underrepresented population, the presence of emotional support.
CONCLUSIONS: Our findings suggest low rates of participation, regardless of underrepresented population status. Strategies as involving their physician as liaison to increase the awareness of clinical trials, as well as improving patient-researcher communication should be considered in this population.

Having a child with a genetic disorder directly impacts a couple\'s relationship due to increased care demands. Most research on couple relationships in the context of having a child with a disability has been done in well-resourced, developed countries. In South Africa, the black South African population has been historically disadvantaged resulting in high rates of unemployment and poverty, and disruption of the family system. The purpose of this study was to explore the impact of having a child with a genetic disorder on the couple relationship in a low socio-economic setting. Thirteen black South African mothers of a child with a confirmed or suspected genetic disorder participated in the study. All participants were recruited while waiting to be seen for a follow-up appointment by a medical geneticist at a Genetic Clinic in Johannesburg, South Africa between 2016 and 2019. Data were collected through semi-structured interviews lasting between 25 and 60 min and analyzed using thematic content analysis. Findings showed that mothers of a child with a genetic disorder in this low socio-economic setting frequently felt unsupported and carried the responsibility of childcare alone. The majority of participants wanted more tangible and emotional support from their partners and without this support they felt isolated and alone. The participants used many different coping strategies to deal with the distress of having a child with a genetic disorder but most frequently they described using \'acceptance\'. Participants\' partners were more often reported to use escape-avoidance strategies such as abandonment, denying paternity, withdrawal, and partner-blame. We suggest that mothers of a child with a genetic disorder should consult with a genetic counselor in addition to a medical geneticist to enable the provision of emotional support.

Transgender (TG) individuals have higher rates of mortality associated with cancer diagnoses, in part due to avoidance of gender-assigned cancer screenings resulting in later stages at diagnosis. Knowledge about the risks of breast or gynecological cancer in TG and nonbinary (NB) persons receiving gender-affirming hormone therapy is limited. Even less information exists regarding the subset of individuals with genetic predisposition for these malignancies. We performed a retrospective literature review of studies from the last 15 years on breast cancer rates and identified risks in TG persons. An accumulating body of data on breast cancer incidence in TG persons suggests higher than previously believed rates of breast cancer in TG women compared with cisgender men and risk correlating with duration of hormone use. Few studies have examined other cancer risks in TG populations. To date, only three publications address the association with BRCA1/2 mutation presence and breast cancer incidence in TG persons. Meanwhile, there is growing awareness and social acceptance of TG/NB identities coupled with recognition of gender dysphoria at increasingly earlier ages. No information directly addressing cancer risk counseling in TG/NB adolescents and young adults with a family history of cancer or hereditary cancer syndrome exists. Whether the presence of a known genetic predisposition or strong family cancer history may affect cancer risk in these populations is unknown, leading to significant gaps in clinicians\' ability to accurately and appropriately estimate cancer risks and counsel those with genetic predisposition on the risks/benefits associated with surgical options and the initiation, duration, and dosing of gender-affirming hormone therapies. A series of three cases illustrates the utility of cancer risk assessment and genetic testing in TG/NB adolescents and young adults, and the unique challenges and unanswered questions that are encountered in the process.

Phase III studies of checkpoint inhibitors changed the therapeutic landscape for lung cancer. In 2015 the Dutch Society of Chest Physicians (NVALT) introduced a national immunotherapy registry for patients with lung cancer; quality standards for hospitals were implemented. At population level we studied clinical benefit in daily practice and in patients who are underrepresented in phase III trials.
From the initial introduction of checkpoint inhibitors in the Netherlands patients were centrally registered. Educational programs and quality control were provided under supervision of NVALT. The largest immunotherapy providing hospitals were compared to hospitals who provided less checkpoint inhibitors as marker of experience. Patients characteristics, treatment and side effects, response rate and survival were studied.
A total of 2676 patients were registered, 2302 with follow up data were evaluated. Between October 2015 and December 2017 a gradual increase from 12 to 30 qualified hospitals showed no major toxicity differences. Toxicity led to a hospital admission rate of 9.1 with an average duration of 10.4 days. Overall tumor response was 21.8 % and median overall survival 12.6 months. Overall survival was not significantly different for patients aged ≥ 75 years, those having brain metastases or selected auto-immune diseases before start checkpoint inhibitors compared to younger patients or those without, respectively. Survival outcomes were worse in patients with PS 2+, non-smokers, and patients who received any palliative radiotherapy (HR 2.1, 95 % CI 1.7-2.7; 1.3, 95 % CI 1.0-1.6 and 1.2, 95 % CI 1.1-1.4, respectively).
Changes in the therapeutic landscape did not lead to major differences in quality of care between hospitals. Elderly patients, those with brain metastases or selected auto-immune disease underrepresented in clinical trials did not do worse on checkpoint inhibitors, except for those with PS 2 + .