Introduction: Atrial fibrillation (AF) is a prevalent cardiovascular disease that significantly impacts public health in the United States. Although numerous clinical trials aim to optimize AF management, concerns about demographic disparities in trial participation persist. This study assesses the representation of age, sex, race, and ethnicity among participants in AF trials conducted in the US, highlighting potential biases that could affect the generalizability of trial outcomes. Methods: An extensive review of clinical trials registered on ClinicalTrials.gov involving patients with AF up to April 2024 was performed. The search was filtered to include all completed interventional trials across phases 2 to 4 without restrictions on the initiation or completion dates. Data were extracted concerning mean age, age distribution, sex, and the racial and ethnic composition of the trial participants. Results: From the 173 trials analyzed, a total of 1,355,239 participants were included, with an average age of 64.7 years. The demographic breakdown revealed a participant pool consisting predominantly of older adults (>65 years: 70.8%), with a significant underrepresentation of the younger age group (18-65 years: 29.2%). Males constituted 65.2% of the trial population, highlighting a gender imbalance. Racially, 74.1% of participants were White, while African Americans (7.7%) and Asians (5.9%) and other racial groups were notably underrepresented. Ethnic disparities were also evident, with Hispanic participants making up only 11.5% of the study population. Conclusion: The findings demonstrate significant disparities in the age, sex, race, and ethnic backgrounds of AF clinical trial participants in the US. These imbalances could potentially limit the applicability of trial results across the broader, diverse population. Efforts to enhance the diversity of clinical trial cohorts are essential to ensure more equitable health outcomes and the universal applicability of clinical research findings. Future strategies should focus on targeted recruitment and inclusive study designs to address these disparities.
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