1. 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: Differential diagnosis of wide QRS based on V1-V2.
- Author
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El Hajjaji I, Becker G, Kus T, Vinet A, Berkovitz A, and Sturmer M
- Subjects
- Bundle-Branch Block diagnosis, Diagnosis, Differential, Humans, Retrospective Studies, Sensitivity and Specificity, Tachycardia, Supraventricular diagnosis, Electrocardiography methods, Tachycardia diagnosis, Ventricular Premature Complexes diagnosis
- Abstract
Background: Many 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., Objectives: To propose a novel reliable criterion for wide QRS complexes' differential diagnosis., Material and Methods: One 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., Results: Almost 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 < 0.01). A ΣV1 + V2 < 258 μV (rounded to <0.25 millivolt [mV]) diagnosed PVCs with good sensitivity and specificity (90% and 85% respectively). The ΣV1 + V2 in WCT group had lower values in VT versus supra-ventricular tachycardia (SVT) group (0.53 ± 0.35 mV vs. 1.79 ± 1.04 mV, p = 0.004)., Conclusions: The ΣV1 + V2 < 258 μV is a reliable criterion for PVC diagnosis. It could be measured accurately using ECG Software, which could be programmed to calculate it automatically, limiting the risk of human error. The ΣV1 + V2 also seems capable of discriminating between VT and SVT., (Copyright © 2018 Elsevier Inc. All rights reserved.)
- Published
- 2018
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