医学
心房颤动
前瞻性队列研究
入射(几何)
队列
多发病率
队列研究
内科学
比例危险模型
空气污染
心脏病学
环境卫生
共病
儿科
物理
有机化学
化学
光学
作者
Junxian Zhang,Ge Chen,Shengtao Wei,Wanquan Li,Gregory Y.H. Lip,Hualiang Lin
出处
期刊:Heart
[BMJ]
日期:2025-06-19
卷期号:112 (6): 318-325
被引量:1
标识
DOI:10.1136/heartjnl-2024-325451
摘要
BACKGROUND: Emerging evidence suggests associations between air pollution, multimorbidity, and atrial fibrillation (AF), but their interplay remains unclear. We evaluated these relationships in a prospective cohort. METHODS: )) was conducted at the geocoded residential locations of each participant. Multimorbidity clusters were determined using latent class analysis using 35 long-term conditions (LTCsc. Three latent classes were identified: non-cardiovascular disease (non-CVD) multimorbidity, mental health multimorbidity and cardiometabolic multimorbidity. These were compared with no LTCs and singular LTCs. Cox models examined the effects of air pollution and multimorbidity status on AF incidence. Counterfactual analyses were performed to calculate the proportion of preventable AF. RESULTS: to the 10th percentile could prevent 26-52% of AF cases in multimorbidity subgroups, with the largest reductions in cardiometabolic (52%) clusters. CONCLUSION: Air pollution and multimorbidity were independently and synergistically associated with higher AF risk. Mitigation strategies targeting pollution may reduce AF burden, particularly in high-risk populations.
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