应用慢传导指数鉴别诊断左束支传导阻滞型宽QRS复杂心律失常

M. Chmelevsky, M. Budanova, T. Treshkur
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引用次数: 1

摘要

宽QRS复杂性心律失常的鉴别诊断是心律失常常规实践中最具挑战性的任务之一。由于心电图检测心房波的复杂性,引入了宽QRS复合体形态学分析。由于QRS形态具有显著的可变性,且其详细评估非常复杂,基于QRS初幅值与终末幅值之比的慢导指数是基于体表ECG评估传导速度的解决方案之一。然而,该算法的一个重要局限性是需要搜索RS宽复杂类型,并随机选择具有该形态的心电导联,最终可能产生矛盾的结果。目的:探讨慢传导指数在任意12导联心电图左束支(LBBB)形态宽QRS复杂心律失常鉴别诊断的可能性,并评价其诊断准确性。材料和方法:该研究包括随机选择28例患者在动态心电图监测中记录的280个单个早产儿宽QRS复合物,这些QRS复合物具有LBBB形态。14例患者记录心房外收缩期,另外14例患者在窦性心律时记录心室外收缩期。基于敏感性(Sn)、特异性(Sp)和准确性(Acc),采用ROC分析对慢传导指数诊断价值进行定性和定量评价。结果:aVL、V2、aVF、V5和III导联慢导通指数的Sn和Sp值最高,根据ROC曲线下的计算面积(AUC), I、V3和V6导联的Sn和Sp值最低(所有导联的p均为0.001)。结论:本研究提供了利用任何12导联心电图慢传导指数鉴别诊断伴有LBBB形态的宽QRS复杂心律失常的基本可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Differential Diagnostics of Wide QRS Complex Arrhythmias with Left Bundle Branch Block Morphology Using Slow Conduction Index
Differential diagnosis of wide QRS complex arrhythmias is one of the most challenging tasks in routine practice arrhythmology. The analysis of the wide QRS complex morphology has been introduced due to the complex problem of detecting atrial waves on ECG. A slow conduction index based on the ratio of the initial and terminal QRS amplitudes is one of the solutions to evaluate conduction velocity based on the surface ECG due to a significant variability of QRS morphology and real complexity of its detailed assessment. However, one of the significant limitations of this algorithm is a need to search for the RS wide complex type and randomly select an ECG lead with this morphology which can finally create a contradictory result. AIM: To evaluate a possibility of using the slow conduction index for differential diagnosis of wide QRS complex arrhythmias with left bundle branch (LBBB) morphology in any of 12-leads ECG followed by evaluation of the obtained diagnostic accuracy values. MATERIALS AND METHODS: The study included 280 single premature wide QRS complexes with LBBB morphology recorded during holter ECG monitoring in randomly selected 28 patients. Atrial extrasystoles were recorded in 14 patients and ventricular extrasystoles were captured during sinus rhythm in other 14 patients. A ROC analysis was used for the qualitative and quantitative assessment of a slow conduction index diagnostic values based on sensitivity (Sn), specificity (Sp) and accuracy (Acc). RESULTS: The highest values of Sn and Sp were obtained for a slow conduction index in the leads aVL, V2, aVF, V5 and III, and the lowest for the leads I, V3 and V6 based on the calculated area (AUC) under the ROC curves (p 0.001 for all leads). CONCLUSION: The study presented the fundamental possibility of using a slow conduction index in any of 12-lead ECG for the differential diagnosis of wide QRS complex arrhythmias with LBBB morphology.
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