aVR导联四步流程在宽QRS波心动过速鉴别诊断中的应用

目的 验证分析aVR导联四步流程对宽QRS波心动过速(WCT)进行鉴别诊断的应用价值.方法 回顾性分析113例患者发生WCT时12导联体表心电图的形态学特征.按aVR导联四步流程分步骤地对113例WCT患者的心电图进行室性心动过速(室速)和室上性心动过速(室上速)的鉴别,将分析的结果与电生理检查结果进行比较,计算每一步...

Value of aVR lead four steps algorithm on differential diagnosis of wide QRS complex tachycardia

Objective The aVR lead four steps is a new algorithm for differential diagnosis of wide QRS complex tachycardia(WCT). The study explores the clinical value of this new algorithm on differential diagnosis of WCT. Methods Application of aVR lead four steps to analysis the electrocardiogram of patients with WCT proved by electrophysiological study. Every step's accuracy rate, sensitivity and specificity to differential diagnosis of ventricular tachycardia(VT)were calculated. The first step diagnosed VT according to presence of an initial R wave in the aVR lead. The second step diagnosed VT according to width of an initial r or q wave ＞40 ms in the aVR lead. The third step diagnosed VT according to notching on the initial downstroke of a predominantly negative QRS complex in the aVR lead. The fourth step diagnosised VT according to ventricular activation-velocity ratio(Vi/Vt)in the aVR lead, Vi/Vt ≤ 1 suggested VT. Results derived from aVR lead four steps algorithm were compared with results derived from Brugada and Vereckei four steps algorithm. Results A total of 113 patients with WCT were analyzed(31 supraventricular tachycardia, SVT and 82 ventricular tachycardia, VT). The accuracy rate of differential diagnosis VT is 91.2%, sensitivity is 90. 2% and specificity is 77.4%. The accuracy and sensitivity of the aVR lead four steps algorithm for differential diagnosis of WCT were superior to the Brugada Vereckei four steps algorithm (P ＜ 0. 05). The specificity of the Vereckei four steps algorithm was superior to aVR lead and Brugada four steps algorithm(P ＜0. 05),while the specificity of the aVR lead four steps algorithm was similar as Brugada four steps algorithm(P ＞ 0. 05). Conclusions The aVR lead four steps algorithm is associated with excellent accuracy rate, sensitivity for differential diagnosis of WCT. This algorithm is simple and could be easily learned and applied by physician.