Investigation of High-Risk Electrocardiographic Markers as Predictors of Major Arrhythmic Events in Brugada Syndrome: A Systematic Review and Meta-analysis

医学 Brugada综合征 内科学 心脏病学 QRS波群 心源性猝死 良性早期复极 J波 复极 心脏骤停 荟萃分析 心电图 ST段 心肌梗塞 电生理学
作者
Chaerul Achmad,William Kamarullah,Iwan Cahyo Santosa Putra,Dena Karina Firmansyah,Mohammad Iqbal,Giky Karwiky,Miftah Pramudyo,Januar Wibawa Martha,Mohammad Rizki Akbar
出处
期刊:Current Problems in Cardiology [Elsevier]
卷期号:48 (8): 101727-101727 被引量:2
标识
DOI:10.1016/j.cpcardiol.2023.101727
摘要

Numerous studies have demonstrated that a type I Brugada electrocardiographic (ECG) pattern, history of syncope, prior sudden cardiac arrest, and previously documented ventricular tachyarrhythmias are still insufficient to stratify the risk of sudden cardiac death in Brugada syndrome (BrS). Several auxiliary risk stratification parameters are pursued to yield a better prognostic model. Our aim was to assess the association between several ECG markers (wide QRS, fragmented QRS, S-wave in lead I, aVR sign, early repolarization pattern in inferolateral leads, and repolarization dispersion pattern) with the risk of developing poor outcomes in BrS. A systematic literature search from several databases was conducted from database inception until August 17th, 2022. Studies were eligible if it investigated the relationship between the ECG markers with the likelihood of acquiring major arrhythmic events (MAE). This meta-analysis comprised 27 studies with a total of 6552 participants. Our study revealed that wide QRS, fragmented QRS, S-wave in lead I, aVR sign, early repolarization pattern in inferolateral leads, and repolarization dispersion ECG pattern were associated with the incremental risk of syncope, ventricular tachyarrhythmias, implantable cardioverter-defibrillator shock, and sudden cardiac death in the future, with the risk ratios ranging from 1.41 to 2.00. Moreover, diagnostic test accuracy meta-analysis indicated that the repolarization dispersion ECG pattern had the highest overall area under curve (AUC) value amid other ECG markers regarding our outcomes of interest. A multivariable risk assessment approach based on the prior mentioned ECG markers potentially improves the current risk stratification models in BrS patients.

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