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心电图(ECG)用于预测新发心房颤动:综述

Electrocardiogram (ECG) for the Prediction of Incident Atrial Fibrillation: An Overview.

作者信息

Aizawa Yoshifusa, Watanabe Hiroshi, Okumura Ken

机构信息

Research and Development, Tachikawa Medical Center and Niigata University,Nagaoka and Niigata,Japan.

Department of Cardiology, Graduate School of Medical and Dental Science,Niigata University, Niigata, Japan.

出版信息

J Atr Fibrillation. 2017 Dec 31;10(4):1724. doi: 10.4022/jafib.1724. eCollection 2017 Dec.

Abstract

Electrocardiograms (ECGs) have been employed to medically evaluate participants in population-based studies, and ECG-derived predictors have been reported for incident atrial fibrillation (AF). Here, we reviewed the status of ECG in predicting new-onset AF. We surveyed population-based studies and revealed ECG variables to be risk factors for incident AF. When available, the predictive values of each ECG risk marker were calculated. Both the atrium-related and ventricle-related ECG variables were risk factors for incident AF, with significant hazard risks (HRs) even after multivariate adjustments. The risk factors included P-wave indices (maximum P-wave duration, its dispersion or variation and P-wave morphology) and premature atrial contractions (PACs) or runs. In addition, left ventricular hypertrophy (LVH), ST-T abnormalities, intraventricular conduction delay, QTc interval and premature ventricular contractions (PVCs) or runs were a risk of incident AF. An HR of greater than 2.0 was observed in the upper 5th percentile of the P-wave durations, P-wave durations greater than 130 ms, P-wave morpholyg, PACs (PVCs) or runs, LVH, QTc and left anterior fascicular blocks. The sensitivity , specificity and the positive and negative predictive values were 3.6-53.8%, 61.7-97.9%, 2.9-61.7% and 77.4-97.7%, respectively. ECG variables are risk factors for incident AF. The correlation between the ECG-derived AF predictors, especially P-wave indices, and underlying diseases and the effects of the reversal of the ECG-derived predictors on incident AF by treatment of comorbidities require further study.

摘要

心电图(ECG)已被用于基于人群的研究中对参与者进行医学评估,并且已经报道了基于心电图得出的预测指标用于预测新发心房颤动(AF)。在此,我们回顾了心电图在预测新发房颤方面的现状。我们调查了基于人群的研究,并发现心电图变量是新发房颤的危险因素。在可行的情况下,计算了每个心电图风险标志物的预测值。与心房相关和与心室相关的心电图变量都是新发房颤的危险因素,即使在多变量调整后仍具有显著的风险比(HRs)。危险因素包括P波指标(最大P波时限、其离散度或变异性以及P波形态)和房性早搏(PACs)或连发。此外,左心室肥厚(LVH)、ST-T异常、室内传导延迟、QTc间期以及室性早搏(PVCs)或连发都是新发房颤的危险因素。在P波时限的上5百分位数、P波时限大于130毫秒、P波形态、PACs(PVCs)或连发、LVH、QTc以及左前分支阻滞中观察到HR大于2.0。敏感性、特异性以及阳性和阴性预测值分别为3.6 - 53.8%、61.7 - 97.9%、2.9 - 61.7%和77.4 - 97.7%。心电图变量是新发房颤的危险因素。基于心电图得出的房颤预测指标,尤其是P波指标,与基础疾病之间的相关性以及通过治疗合并症使基于心电图得出的预测指标逆转对新发房颤的影响需要进一步研究。

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