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Differentiating origins of outflow tract ventricular arrhythmias: a comparison of three different electrocardiographic algorithms

机译:区分流出道室性心律失常的起源:三种不同心电图算法的比较

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Our objective is to evaluate the accuracy of three algorithms in differentiating the origins of outflow tract ventricular arrhythmias (OTVAs). This study involved 110 consecutive patients with OTVAs for whom a standard 12-lead surface electrocardiogram (ECG) showed typical left bundle branch block morphology with an inferior axis. All the ECG tracings were retrospectively analyzed using the following three recently published ECG algorithms: 1 ) the transitional zone (TZ) index, 2 ) the V 2 transition ratio, and 3 ) V 2 R wave duration and R/S wave amplitude indices. Considering all patients, the V 2 transition ratio had the highest sensitivity (92.3%), while the R wave duration and R/S wave amplitude indices in V 2 had the highest specificity (93.9%). The latter finding had a maximal area under the ROC curve of 0.925. In patients with left ventricular (LV) rotation, the V 2 transition ratio had the highest sensitivity (94.1%), while the R wave duration and R/S wave amplitude indices in V 2 had the highest specificity (87.5%). The former finding had a maximal area under the ROC curve of 0.892. All three published ECG algorithms are effective in differentiating the origin of OTVAs, while the V 2 transition ratio, and the V 2 R wave duration and R/S wave amplitude indices are the most sensitive and specific algorithms, respectively. Amongst all of the patients, the V 2 R wave duration and R/S wave amplitude algorithm had the maximal area under the ROC curve, but in patients with LV rotation the V 2 transition ratio algorithm had the maximum area under the ROC curve.
机译:我们的目标是评估三种算法在区分流出道室性心律失常(OTVA)起源方面的准确性。这项研究涉及110例连续的OTVA患者,他们的标准12导联表面心电图(ECG)显示典型的左束支传导阻滞形态并具有下轴。使用以下三个最近发布的ECG算法对所有ECG示踪进行了回顾性分析:1)过渡带(TZ)指数,2)V 2过渡比和3)V 2 R波持续时间和R / S波振幅指数。考虑到所有患者,V 2转换率具有最高的敏感性(92.3%),而V 2中的R波持续时间和R / S波振幅指数具有最高的特异性(93.9%)。后一个发现的ROC曲线下最大面积为0.925。在左心室(LV)旋转的患者中,V 2转换率具有最高的敏感性(94.1%),而V 2中的R波持续时间和R / S波振幅指数具有最高的特异性(87.5%)。前一个发现在ROC曲线下的最大面积为0.892。所有这三种公开的ECG算法在区分OTVA的起源方面都是有效的,而V 2过渡比,V 2 R波的持续时间和R / S波振幅指数分别是最敏感和最具体的算法。在所有患者中,V 2 R波持续时间和R / S波幅值算法在ROC曲线下具有最大面积,但是在LV旋转患者中,V 2过渡比算法在ROC曲线下具有最大面积。

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