Mo Degang, Wang Mengmeng, Zhang Peng, Dai Hongyan, Guan Jun
Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao, 266011, China.
Department of Cardiology, Qingdao University, Qingdao, 266011, China.
Heliyon. 2024 Jul 6;10(13):e34205. doi: 10.1016/j.heliyon.2024.e34205. eCollection 2024 Jul 15.
Atrial fibrillation (AF) is the most common and clinically significant type of cardiac arrhythmia. Although catheter ablation (CA) can restore sinus rhythm in patients with AF, some patients experience recurrence after the procedure. This requires us to find a simple and effective way to identify patients at a high risk of recurrence and to intervene early in the high-risk population to improve patient prognosis. The mechanism of AF recurrence is unclear, but it involves several aspects including patient history, inflammation, myocardial fibrosis, and genes. This article summarizes the current predictors of AF recurrence after CA, including myocardial fibrosis markers, inflammatory markers, MicroRNAs, Circular RNAs, AF recurrence scores, and imaging indicators. Each predictor has its own scope of application, and the predictive capacity and joint application of multiple predictors may improve the predictive power. In addition, we summarize the mechanisms involved in AF recurrence. We hope that this review will assist researchers understand the current predictors of AF recurrence and help them conduct further related studies.
心房颤动(AF)是最常见且具有临床意义的心律失常类型。尽管导管消融(CA)可使房颤患者恢复窦性心律,但部分患者术后会复发。这就要求我们找到一种简单有效的方法来识别复发风险高的患者,并对高危人群进行早期干预以改善患者预后。房颤复发的机制尚不清楚,但涉及患者病史、炎症、心肌纤维化和基因等多个方面。本文总结了目前CA术后房颤复发的预测指标,包括心肌纤维化标志物、炎症标志物、微小RNA、环状RNA、房颤复发评分和影像学指标。每个预测指标都有其应用范围,多个预测指标的联合应用可能会提高预测能力。此外,我们总结了房颤复发所涉及的机制。我们希望这篇综述能帮助研究人员了解目前房颤复发的预测指标,并有助于他们开展进一步的相关研究。