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首页> 外文期刊>Journal of Electrocardiology: An International Publication for the Study of the Electrical Activities of the Heart >Novel criterion for the differential diagnosis of wide QRS complexes and wide complex tachycardia using the initial activation of QRS on leads V1 and V2
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Novel criterion for the differential diagnosis of wide QRS complexes and wide complex tachycardia using the initial activation of QRS on leads V1 and V2

机译:使用QRS初始激活QRS复合物和宽复合心动过速的差异诊断的新标准在引线V1和V2上的初始激活

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BackgroundMany diagnostic criteria for the differential diagnosis of wide complex tachycardia (WCT) are complex and not completely accurate. Incorrect diagnosis is also related to error in applying criteria. ObjectivesTo propose a novel reliable criterion for wide QRS complexes' differential diagnosis. Material and methodsOne hundred Electrocardiograms (ECGs) with wide QRS complexes were analyzed using the ECG software. Five variables were measured during the first 20?ms of QRS in leads V1 and V2 and compared between premature ventricular contraction (PVC) and conducted supraventricular impulse with bundle branch block (BBB) groups. The best discriminant variable was identified. The validity of this variable was tested on a group of 20 patients who had WCT during an electrophysiology study. ResultsAlmost all variables were statistically different between PVC and BBB groups. The sum of voltages in absolute value of vectors during the initial 20?ms of the QRS in leads V1 and V2 (ΣV1?+?V2) was the most discriminant between the two groups (131?±?85 microvolt [μV] vs. 498?±?392?μV, p?
机译:背景型差异诊断宽复杂性心动过速(WCT)的诊断标准是复杂的,并且没有完全准确。诊断不正确也与应用标准中的错误有关。 Objectivesto提出了一种新颖的QRS复合物差异诊断的可靠标准。使用ECG软件分析具有宽QRS复合物的材料和百种心电图(ECG)。在引线V1和V2中的前20℃下测量五个变​​量,并在过早的心室收缩(PVC)和用束分支嵌段(BBB)组进行胰腺炎脉冲。确定了最佳判别变量。在电生理学研究期间对20名患者进行了对20名WCT的患者进行了测试的有效性。 PVC和BBB组之间的所有变量在统计上不同。在初始20的初始20≤INv1和v2(σv1≤v2)中的初始20的绝对值的电压之和(σv1≤v2)是两组之间最判别的QRS(131°±85微伏[μV] Vs. 498?±392?μV,p?<?0.01)。 ΣV1?+ +ΔV2?<?258?μV(舍入为<0.25?毫伏[MV])诊断出具有良好敏感性和特异性的PVC(分别为90%和85%)。在WCT组中的σv1?+Δv2在vt与supra-anycrycarcardia(svt)组中具有较低的值(0.53?±0.35?mv与1.79?±1.04?mv,p?= 0.004)。结论σv1?+Δv2?<?258?μV是PVC诊断的可靠标准。它可以使用ECG软件准确测量,可以将其编程为自动计算它,限制人为错误的风险。 Σv1?+ + v2似乎还能够区分Vt和SVT。

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