Disease areas:
  • heart and blood vessels
Last updated:
Author(s):
Yusheng Zhou, Jonathan Houle, Valeria Raparelli, Colleen M Norris, Louise Pilote
Publish date:
1 July 2025
Journal:
Open Heart
PubMed ID:
41448845

Abstract

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.

Related projects

The goal of this project is to provide a mechanistic modelling of brain structure and function. Our overarching aim is to further our understanding of…

Institution:
McGill University, Canada

All projects