Sex differences in the association of social determinants of health and adverse cardiovascular outcomes in patients with atrial fibrillation.

BACKGROUND: Despite anticoagulation, patients with atrial fibrillation (AF) experience persistent elevated cardiovascular risk, with conflicting evidence regarding sex-based outcome disparities. Social determinants of health (SDOH)-encompassing economic, psychosocial and environmental factors-demonstrate robust associations with cardiovascular outcomes and exhibit significant sex-specific patterns, yet remain understudied in AF populations. This study aimed to clarify sex differences in the association of SDOH and adverse cardiovascular outcomes in patients with AF. METHODS: Data came from the UK Biobank. Participants with AF enrolled between 2006 and 2010 were included. SDOH comprised economic, psychosocial and neighbourhood environmental factors. The primary outcome was a composite of major adverse cardiovascular events (ie, stroke/transient ischaemic attack, arterial thromboembolic events, myocardial infarction and cardiovascular mortality) and all-cause mortality. Sex-stratified, Cox proportional hazards models were used. RESULTS: Among 3842 participants (mean age 62.5±6.1 years; 35.1% female), males demonstrated higher adverse outcome event rates than females (29.1% vs 21.3%) over median 11.6-year follow-up. Multivariate analyses revealed independent SDOH associations with adverse outcomes, with distinct sex-specific patterns. In male participants, low income (HR 1.30, 95% CI 1.08 to 1.55), unemployment (HR 1.28, 95% CI 1.06 to 1.55), living alone (HR 1.29, 95% CI 1.07 to 1.55) and housing insecurity (HR 1.26, 95% CI 1.01 to 1.57) were associated with adverse outcomes, while emotional distress was the only predictor (HR 1.33, 95% CI 1.04 to 1.69) in females. CONCLUSIONS: SDOH demonstrate sex-specific associations with adverse cardiovascular outcomes in AF populations. Integration of SDOH into risk prediction algorithms may enhance cardiovascular risk stratification and inform targeted intervention strategies in AF management.