Clonal haematopoiesis of indeterminate potential predicts incident cardiac arrhythmias

医学 内科学 心脏病学 危险系数 心力衰竭 心房颤动 冠状动脉疾病 室上性心律失常 射血分数 比例危险模型 置信区间
作者
Art Schuermans,Caitlyn Vlasschaert,Victor Nauffal,So Mi Jemma Cho,Md Mesbah Uddin,Tetsushi Nakao,Abhishek Niroula,Marcus D. R. Klarqvist,Lachelle D. Weeks,Amy Lin,Seyedmohammad Saadatagah,Kim Lannery,Megan Wong,Whitney Hornsby,Steven A. Lubitz,Christie M. Ballantyne,Siddhartha Jaiswal,Peter Libby,Benjamin L. Ebert,Alexander G. Bick
出处
期刊:European Heart Journal [Oxford University Press]
卷期号:45 (10): 791-805 被引量:35
标识
DOI:10.1093/eurheartj/ehad670
摘要

Abstract Background and Aims Clonal haematopoiesis of indeterminate potential (CHIP), the age-related expansion of blood cells with preleukemic mutations, is associated with atherosclerotic cardiovascular disease and heart failure. This study aimed to test the association of CHIP with new-onset arrhythmias. Methods UK Biobank participants without prevalent arrhythmias were included. Co-primary study outcomes were supraventricular arrhythmias, bradyarrhythmias, and ventricular arrhythmias. Secondary outcomes were cardiac arrest, atrial fibrillation, and any arrhythmia. Associations of any CHIP [variant allele fraction (VAF) ≥ 2%], large CHIP (VAF ≥10%), and gene-specific CHIP subtypes with incident arrhythmias were evaluated using multivariable-adjusted Cox regression. Associations of CHIP with myocardial interstitial fibrosis [T1 measured using cardiac magnetic resonance (CMR)] were also tested. Results This study included 410 702 participants [CHIP: n = 13 892 (3.4%); large CHIP: n = 9191 (2.2%)]. Any and large CHIP were associated with multi-variable-adjusted hazard ratios of 1.11 [95% confidence interval (CI) 1.04–1.18; P = .001] and 1.13 (95% CI 1.05–1.22; P = .001) for supraventricular arrhythmias, 1.09 (95% CI 1.01–1.19; P = .031) and 1.13 (95% CI 1.03–1.25; P = .011) for bradyarrhythmias, and 1.16 (95% CI, 1.00–1.34; P = .049) and 1.22 (95% CI 1.03–1.45; P = .021) for ventricular arrhythmias, respectively. Associations were independent of coronary artery disease and heart failure. Associations were also heterogeneous across arrhythmia subtypes and strongest for cardiac arrest. Gene-specific analyses revealed an increased risk of arrhythmias across driver genes other than DNMT3A. Large CHIP was associated with 1.31-fold odds (95% CI 1.07–1.59; P = .009) of being in the top quintile of myocardial fibrosis by CMR. Conclusions CHIP may represent a novel risk factor for incident arrhythmias, indicating a potential target for modulation towards arrhythmia prevention and treatment.
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