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心电图异常与中风发病率。

ECG abnormalities and stroke incidence.

作者信息

Agarwal Sunil K, Soliman Elsayed Z

机构信息

Johns Hopkins University, 2020 E. Monument Street, B321, Baltimore, MD 21224, USA.

出版信息

Expert Rev Cardiovasc Ther. 2013 Jul;11(7):853-61. doi: 10.1586/14779072.2013.811980.

Abstract

In this review, the authors discuss the role of ECG in prediction of stroke. ECG plays an important role in detection of several stroke risk factors/predictors including atrial fibrillation and left ventricular hypertrophy; both are components of the Framingham Stroke Risk Score. Multiple other ECG traits have also emerged as potential predictors of stroke, namely cardiac electrical/structural remodeling--Q wave, QRS/QT duration, bundle blocks, P wave duration/amplitude/dispersion, other waveform angles and slopes; higher automaticity--ectopic beats; and re-entry--atrial tachyarrhythmia; and higher vulnerability to arrhythmia--heart rate and its variability. Most of these predictors are not ready for prime time yet; however, further research focusing on their role in risk stratification and prevention of stroke may be useful. In this article, the authors discuss the prevalence, mechanisms and clinical applications of traditional and novel ECG markers in the prevention and treatment of stroke.

摘要

在这篇综述中,作者讨论了心电图在预测中风方面的作用。心电图在检测多种中风风险因素/预测指标中发挥着重要作用,包括心房颤动和左心室肥厚;这两者都是弗明汉姆中风风险评分的组成部分。其他多种心电图特征也已成为中风的潜在预测指标,即心脏电/结构重塑——Q波、QRS/QT间期、束支传导阻滞、P波时限/振幅/离散度、其他波形角度和斜率;自律性增高——异位搏动;折返——房性快速心律失常;以及心律失常易感性增加——心率及其变异性。这些预测指标中的大多数尚未成熟;然而,进一步研究它们在中风风险分层和预防中的作用可能会有所帮助。在本文中,作者讨论了传统和新型心电图标志物在中风预防和治疗中的患病率、机制及临床应用。

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