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用于心律失常风险评估的T波交替动态心电图监测。

Ambulatory ECG monitoring of T-wave alternans for arrhythmia risk assessment.

作者信息

Verrier Richard L, Nearing Bruce D

机构信息

Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA.

出版信息

J Electrocardiol. 2003;36 Suppl:193-7. doi: 10.1016/j.jelectrocard.2003.09.058.

Abstract

Experimental and clinical studies indicate a basic linkage between T-wave alternans (TWA) and susceptibility to malignant arrhythmias. In a variety of clinical populations with elevated risk of ventricular tachyarrhythmias, Fast Fourier Transform (FFT)-based assessment of TWA during fixed-rate atrial pacing or bicycle ergometry has shown predictive ability for arrhythmic events. However, after more than a decade since the introduction of TWA testing in human subjects, few studies have explored its utility in ambulatory ECG (AECG) recordings. This gap probably relates to major technical obstacles associated with monitoring of ambulatory subjects, including motion artifact and the requirement of data stationarity, which mandates fixing heart rate. To circumvent these difficulties, we devised a time-domain method, "Modified Moving Average Beat Analysis" (MMA) to determine TWA level accurately in freely moving subjects. Recently, MMA analysis was employed to analyze ambulatory ECG (AECG) records of post-myocardial infarction patients who were were at low risk of arrhythmic death. An increased risk of arrhythmic death was predicted by TWA level above the 75th percentile of controls (p<.05). Thus, the predictive power of TWA obtained with MMA analysis from AECG records obtained appears promising.

摘要

实验和临床研究表明,T波交替(TWA)与恶性心律失常易感性之间存在基本联系。在各种室性快速心律失常风险升高的临床人群中,基于快速傅里叶变换(FFT)在固定频率心房起搏或自行车运动试验期间对TWA进行评估,已显示出对心律失常事件的预测能力。然而,在人体引入TWA检测十多年后,很少有研究探讨其在动态心电图(AECG)记录中的效用。这一差距可能与动态监测受试者相关的主要技术障碍有关,包括运动伪影以及数据平稳性的要求,这就要求心率固定。为了克服这些困难,我们设计了一种时域方法,即“修正移动平均搏动分析”(MMA),以准确测定自由活动受试者的TWA水平。最近,MMA分析被用于分析心肌梗死后心律失常死亡风险较低患者的动态心电图(AECG)记录。TWA水平高于对照组第75百分位数可预测心律失常死亡风险增加(p<0.05)。因此,通过MMA分析从获得的AECG记录中获得的TWA预测能力似乎很有前景。

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