Risk stratification of arrhythmogenic right ventricular cardiomyopathy based on signal averaged electrocardiograms

Ying Chieh Liao, Yenn Jiang Lin, Fa Po Chung, Shih Lin Chang, Li Wei Lo, Yu Feng Hu, Tze Fan Chao, Eric Chung, Ta Chuan Tuan, Jin Long Huang*, Jo Nan Liao, Yun Yu Chen, Shih Ann Chen

*此作品的通信作者

研究成果: Article同行評審

17 引文 斯高帕斯(Scopus)

摘要

Background Signal averaged electrocardiogram (SAECG) is a specific and non-invasive tool useful for arrhythmogenic right ventricular cardiomyopathy (ARVC) diagnosis. However, its role in risk stratification of patients with ARVC remains largely undefined. Methods Sixty-four patients fulfilling Task Force ARVC criteria (mean age: 47 ± 14 years-old, 56% male, 50% definite ARVC) were enrolled. The baseline demographic, electrocardiographic, structural, and electrophysiological characteristics were collected. Patients with SAECG fulfilling all 3 Task Force criteria (3 + SAECG) were categorized into group 1, and those fulfilled 2 or less criterion were categorized into group 2. The study endpoints were unstable ventricular arrhythmia (VA), device detectable sustained fast VA (cycle lengths < 240 ms) and cardiovascular death. Results During a mean follow-up of 21 ± 20 months, 15 primary endpoints including 12 unstable VAs and 3 device-detected fast VAs were met. One patient died of electrical storm, and one patient underwent heart transplantation. The presence of 3 + SAECG predicted malignant events in all patients with definite and non-definite ARVC (p < 0.01, OR = 30.5, 95% CI = 2.5-373.7) and in patients with definite ARVC alone (p = 0.03, OR = 11.1, 95% CI = 1.3-93.9). Patients diagnosed with non-definite ARVC without 3 + SAECG were free from malignant events. Conclusions SAECG fulfilling all 3 Task Force criteria was an independent risk predictor of malignant events in ARVC patients. SAECG may play a valuable role in ARVC risk stratification.

原文English
頁(從 - 到)628-633
頁數6
期刊International Journal of Cardiology
174
發行號3
DOIs
出版狀態Published - 1 7月 2014

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