Vales Lori, Kanei Yumiko, Schweitzer Paul
Division of Cardiology, Department of Medicine, The Heart Institute at Beth Israel Medical Center, New York, NY 10003, USA.
J Electrocardiol. 2011 Jan-Feb;44(1):31-5. doi: 10.1016/j.jelectrocard.2010.07.020. Epub 2010 Sep 15.
In acute inferior ST-segment elevation myocardial infarction (STEMI), multiple electrocardiographic algorithms have been proposed to predict the culprit artery. Our purpose is to review these and compare them to ST depression in lead aVR to predict culprit artery in inferior STEMI.
In 106 patients with acute inferior STEMI who underwent emergent coronary angiography, we correlated electrocardiographic and angiographic findings pertaining to the culprit artery. We then reviewed the algorithms proposed by Fiol et al and Tierala et al, and applied them and our own from Kanei et al using ST depression in aVR for predicting the left circumflex artery (LCx) as the culprit, to the population. Finally, we compared the sensitivities and specificities of the respective algorithms for predicting the culprit artery.
The sensitivity and specificity of ST depression in lead aVR to predict LCx as the culprit were 53% and 86%, respectively, and 86% and 55%, respectively for predicting the right coronary artery (RCA) as the culprit. When their algorithms were applied to our population, the sensitivities and specificities of Fiol et al and Tierala et al were slightly higher.
Compared to other proposed algorithms, ST depression in aVR is a simple method with satisfactory sensitivity and specificity to predict the culprit artery in inferior STEMI.
在急性下壁ST段抬高型心肌梗死(STEMI)中,已提出多种心电图算法来预测罪犯血管。我们的目的是回顾这些算法,并将它们与aVR导联ST段压低进行比较,以预测下壁STEMI中的罪犯血管。
在106例接受急诊冠状动脉造影的急性下壁STEMI患者中,我们将心电图和血管造影结果与罪犯血管相关联。然后,我们回顾了菲奥尔等人和蒂埃拉拉等人提出的算法,并将他们的算法以及我们自己基于金井等人的算法应用于该人群,使用aVR导联ST段压低来预测左旋支动脉(LCx)为罪犯血管。最后,我们比较了各算法预测罪犯血管的敏感性和特异性。
aVR导联ST段压低预测LCx为罪犯血管的敏感性和特异性分别为53%和86%,预测右冠状动脉(RCA)为罪犯血管的敏感性和特异性分别为86%和55%。当将他们的算法应用于我们的人群时,菲奥尔等人和蒂埃拉拉等人的算法的敏感性和特异性略高。
与其他提出的算法相比,aVR导联ST段压低是一种预测下壁STEMI罪犯血管的简单方法,具有令人满意的敏感性和特异性。