Background: Beyond the risk of thromboembolic stroke, people with atrial fibrillation (AF) are substantially burdened with a higher incidence of cardiovascular mortality, even among patients treated with anticoagulants. The reasons behind these outcomes are only partially understood. Social determinants of health (SDOH), strong independent predictors of major adverse cardiovascular events (MACE) in several cardiac diseases, may play a role; however, their impact on AF prognosis and the differences in SDOH by sex have been insufficiently explored. Objective: We investigated the sex differences in the association between SDOH and MACE in patients with AF. Methods: Data from the UK Biobank included participants enrolled from 2006 to 2010. An incident AF patient cohort, free of stroke and MI was created. Seventeen SDOH derived from three domains:: socio-economic status, psychosocial factors, and neighborhood/living environment were identified Cox proportional hazards models were used to evaluate the associations of individual SDOH components with the risk of MACE stratified by sex. Covariates including all variables of the CHA 2 DS 2 -VASc Score (Congestive heart failure, Hypertension, Age, Diabetes, prior stroke or transient ischemic attack, Vascular disease and Sex), current use of antiplatelet therapy or anticoagulation, smoking and body mass index. The primary outcome was a composite of MACE (including stroke, transient ischemic attack and arterial thromboembolic event, MI and cardiovascular mortality) and all-cause mortality. Results: A total of 23,113 participants with AF (mean age, 62.44 ± 5.88 years; female sex 39.7%) were included. The composite outcome occurred in 5,151 (22%) of participants over 10-year follow up. In the multivariate adjusted model, several SDOH were independently associated with an increased risk of adverse outcomes. Males showed a broader range of SDOH that were significantly associated with outcomes, including unfavourable economic factors and low social support. Despite females had fewer significant SDOH, education-related factors and local crime rates were significant predictors of adverse outcomes (Figure 1). Conclusions: Adverse SDOHs are associated with a higher risk of MACE and all-cause mortality in AF, with sex-specific variations. These findings underscore the need of incorporating routinely SDOH assessment into clinical practice to more accurately stratify risk and tailor preventive strategies based on sex-specific data.
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