Non-traditional risk factors for atrial fibrillation: epidemiology, mechanisms, and strategies

European Heart Journal

24 December 2024
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ESC Journals ARRHYTHMIAS AND DEVICE THERAPY Atrial Fibrillation (AF) PREVENTIVE CARDIOLOGY Risk Factors and Prevention

Abstract

Abstract

Atrial fibrillation (AF) has become the pre-dominant arrhythmia worldwide and is associated with high morbidity and mortality. Its pathogenesis is intricately linked to the deleterious impact of cardiovascular risk factors, emphasizing the pivotal imperative for early detection and mitigation strategies targeting these factors for the prevention of primary AF. While traditional risk factors are well recognized, an increasing number of novel risk factors have been identified in recent decades. This review explores the emerging non-traditional risk factors for the primary prevention of AF, including unhealthy lifestyle factors in current society (sleep, night shift work, and diet), biomarkers (gut microbiota, hyperuricaemia, and homocysteine), adverse conditions or diseases (depression, epilepsy, clonal haematopoiesis of indeterminate potential, infections, and asthma), and environmental factors (acoustic pollution and other environmental factors). Unlike traditional risk factors, individuals have limited control over many of these non-traditional risk factors, posing challenges to conventional prevention strategies. The purpose of this review is to outline the current evidence on the associations of non-traditional risk factors with new-onset AF and the potential mechanisms related to these risk factors. Furthermore, this review aims to explore potential interventions targeting these risk factors at both the individual and societal levels to mitigate the growing burden of AF, suggesting guideline updates for primary AF prevention.

Contributors

Ying Sun
Ying Sun

Author

Bowei Yu
Bowei Yu

Author

Xiao Tan
Xiao Tan

Author

Heng Wan
Heng Wan

Author

Lu Qi
Lu Qi

Author

Ningjian Wang
Ningjian Wang

Author

The Ninth People's Hospital Shanghai , China

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