Discrimination between ventricular tachycardia and wide-QRS preexcited tachycardia

IF 1.1 4区 医学 Q4 CARDIAC & CARDIOVASCULAR SYSTEMS Annals of Noninvasive Electrocardiology Pub Date : 2024-03-15 DOI:10.1111/anec.13112
Jae Hoon Lee MD
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引用次数: 0

Abstract

Background

To develop a new algorithm to differentiate ventricular tachycardia (VT) from preexcited tachycardia (pre-ET) according to left bundle branch block (LBBB) and right bundle branch block (RBBB) patterns.

Methods

This study included 67 electrocardiograms (ECGs) with VT and 63 ECGs with pre-ET, collected from our hospital and through PubMed. Of those, 64 were allocated to the derivation cohort and the rest to the validation cohort. The diagnoses of the ECGs were confirmed using an electrophysiological study. Parameters and classifiers from prior algorithms along with the propagation speeds in the early portion of the QRS complex (initial deflection index) in leads V1, V6, aVR, II, and III were manually measured. The performance of the new algorithm was compared with that of prior algorithms.

Results

The initial deflection index in lead III was the strongest predictor of pre-ET in LBBB-pattern wide-QRS tachycardia (p = 0.003, AUC 0.805). The initial deflection index in lead V1 was the most powerful predictor of pre-ET in RBBB-pattern wide-QRS tachycardia (p = 0.001, AUC 0.848). Compared to earlier algorithms, those using the initial deflection indexes: lead III in LBBB patterns (cutoff value >0.3) and lead V1 in RBBB patterns (cutoff value ≤0.48), demonstrated superior performance in screening VT, with AUC values of 0.828. The initial deflection indexes proved effective as discriminators between VT and pre-ET in the validation cohort.

Conclusions

In LBBB-pattern wide-QRS tachycardia, the early propagation speed of pre-ET was faster than that in VT. Conversely, in RBBB-pattern wide-QRS tachycardia, it was slower.

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区分室性心动过速和宽 QRS 预激性心动过速
背景 根据左束支传导阻滞(LBBB)和右束支传导阻滞(RBBB)模式,开发一种新算法来区分室性心动过速(VT)和预激性心动过速(pre-ET)。 方法 本研究包括从本院和 PubMed 收集的 67 张 VT 心电图和 63 张预激性心动过速心电图。其中 64 张被分配到推导队列,其余的被分配到验证队列。心电图的诊断是通过电生理学研究确认的。先前算法中的参数和分类器以及 V1、V6、aVR、II 和 III 导联 QRS 波群早期的传播速度(初始偏转指数)都是人工测量的。新算法的性能与之前算法的性能进行了比较。 结果 在 LBBB 型宽 QRS 心动过速中,导联 III 的初始偏转指数是预测预ET 的最强指标(p = 0.003,AUC 0.805)。V1 导联的初始偏转指数是 RBBB 型宽 QRS 心动过速 ET 前最有力的预测指标(p = 0.001,AUC 0.848)。与早期的算法相比,使用初始偏转指数的算法:LBBB 模式中的导联 III(截断值为 0.3)和 RBBB 模式中的导联 V1(截断值≤0.48),在筛选 VT 方面表现出色,AUC 值为 0.828。在验证队列中,初始偏转指数被证明是区分 VT 和前ET 的有效指标。 结论 在 LBBB 型宽 QRS 心动过速中,预ET 的早期传播速度快于 VT。相反,在 RBBB 型宽 QRS 心动过速中,其传播速度较慢。
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来源期刊
CiteScore
3.40
自引率
0.00%
发文量
88
审稿时长
6-12 weeks
期刊介绍: The ANNALS OF NONINVASIVE ELECTROCARDIOLOGY (A.N.E) is an online only journal that incorporates ongoing advances in the clinical application and technology of traditional and new ECG-based techniques in the diagnosis and treatment of cardiac patients. ANE is the first journal in an evolving subspecialty that incorporates ongoing advances in the clinical application and technology of traditional and new ECG-based techniques in the diagnosis and treatment of cardiac patients. The publication includes topics related to 12-lead, exercise and high-resolution electrocardiography, arrhythmias, ischemia, repolarization phenomena, heart rate variability, circadian rhythms, bioengineering technology, signal-averaged ECGs, T-wave alternans and automatic external defibrillation. ANE publishes peer-reviewed articles of interest to clinicians and researchers in the field of noninvasive electrocardiology. Original research, clinical studies, state-of-the-art reviews, case reports, technical notes, and letters to the editors will be published to meet future demands in this field.
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