Department of Cardiology, University Heart and Vascular Center, University Medical Center Hamburg Eppendorf, Martinistraße 52, 20251 Hamburg, Hamburg, Germany.
German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Martinistraße 52, 20251 Hamburg, Hamburg, Germany.
Cardiovasc Res. 2021 Jun 16;117(7):1718-1731. doi: 10.1093/cvr/cvab153.
The prevalence and economic burden of atrial fibrillation (AF) are predicted to more than double over the next few decades. In addition to anticoagulation and treatment of concomitant cardiovascular conditions, early and standardized rhythm control therapy reduces cardiovascular outcomes as compared with a rate control approach, favouring the restoration, and maintenance of sinus rhythm safely. Current therapies for rhythm control of AF include antiarrhythmic drugs (AADs) and catheter ablation (CA). However, response in an individual patient is highly variable with some remaining free of AF for long periods on antiarrhythmic therapy, while others require repeat AF ablation within weeks. The limited success of rhythm control therapy for AF is in part related to incomplete understanding of the pathophysiological mechanisms and our inability to predict responses in individual patients. Thus, a major knowledge gap is predicting which patients with AF are likely to respond to rhythm control approach. Over the last decade, tremendous progress has been made in defining the genetic architecture of AF with the identification of rare mutations in cardiac ion channels, signalling molecules, and myocardial structural proteins associated with familial (early-onset) AF. Conversely, genome-wide association studies have identified common variants at over 100 genetic loci and the development of polygenic risk scores has identified high-risk individuals. Although retrospective studies suggest that response to AADs and CA is modulated in part by common genetic variation, the development of a comprehensive clinical and genetic risk score may enable the translation of genetic data to the bedside care of AF patients. Given the economic impact of the AF epidemic, even small changes in therapeutic efficacy may lead to substantial improvements for patients and health care systems.
心房颤动 (AF) 的患病率和经济负担预计在未来几十年内将增加一倍以上。除了抗凝和治疗伴随的心血管疾病外,与心率控制方法相比,早期和标准化的节律控制治疗可降低心血管结局,有利于安全地恢复和维持窦性节律。AF 的节律控制治疗目前包括抗心律失常药物 (AADs) 和导管消融 (CA)。然而,个体患者的反应差异很大,有些患者在抗心律失常治疗下长时间无 AF,而有些患者则在数周内需要重复 AF 消融。AF 节律控制治疗的成功率有限,部分原因是对病理生理机制的理解不完整,以及我们无法预测个体患者的反应。因此,一个主要的知识差距是预测哪些 AF 患者可能对节律控制方法有反应。在过去的十年中,人们在确定 AF 的遗传结构方面取得了巨大进展,确定了与家族性(早发性)AF 相关的心脏离子通道、信号分子和心肌结构蛋白的罕见突变。相反,全基因组关联研究已经确定了超过 100 个遗传位点的常见变异,并且多基因风险评分的发展已经确定了高风险个体。尽管回顾性研究表明,AADs 和 CA 的反应在一定程度上受到常见遗传变异的调节,但综合临床和遗传风险评分的制定可能使遗传数据转化为 AF 患者的床边护理。鉴于 AF 流行的经济影响,即使治疗效果略有改善,也可能为患者和医疗保健系统带来实质性的改善。