Association of single and multiple cardiometabolic diseases with atrial fibrillation: a prospective cohort study.

Abstract

Background: Individual cardiometabolic diseases (CMDs) increase atrial fibrillation (AF) risk; however, whether multiple CMDs exert a cumulative effect on AF risk remains unclear. Our objective was to examine the link between coexisting CMDs and AF, as well as their cumulative impact.

Methods: This UK Biobank-based prospective cohort study included data from participants with information related to CMDs and AF. The assessment of CMDs and AF was based on participants' self-reported medical histories and electronic health records. Cox proportional hazard regression models were employed to analyse the link between the number of CMDs and AF and to determine the cumulative effect of multiple CMDs. Further, we performed stratified analyses and adjusted for confounding factors.

Results: The study included 308 916 participants. The risk of AF was substantially associated with varying numbers of CMDs after multivariable adjustment in comparison to the reference group (all p<0.001). In the fully adjusted model, participants with 1, 2 and ≥3 CMDs exhibited elevated risks of 54% (HR: 1.54, 95% CI 1.48 to 1.59), 104% (HR: 2.04, 95% CI 1.94 to 2.15) and 212% (HR: 3.12, 95% CI 2.87 to 3.38), respectively. A significant cumulative dose-response relationship was noted between the number of CMDs and AF risk (HR: 1.45, 95% CI 1.42 to 1.48, p<0.001). A consistent dose-dependent cumulative relationship was observed in both stratified and sensitivity analyses.

Conclusions: Multiple CMDs increased AF risk and exhibited a significant cumulative effect based on the number of CMDs.