Cited by 115Cardiac Arrhythmias and TreatmentsCardiac electrophysiology and arrhythmiasCardiac pacing and defibrillation studies

Differentiation of paroxysmal narrow QRS complex tachycardias using the 12-lead electrocardiogram

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Kalbfleisch, Steven J., El-Atassi, Rafel, Calkins, Hugh, Langberg, Jonathan J., Morady, Fred·1993·Journal of the American College of Cardiology

Abstract

Objectives The purpose of this study was to evaluate the utility of the 12-lead electrocardiogram (ECG) for differentiating paroxysmal narrow QRS complex tachycardias.Background Previous studies evaluating the utility of the 12-lead ECG for differentiating paroxysmal supraventricular tachycardia types have shown conflicting results on the usefulness of some ECG criteria, and some criteria that are considered to be useful have never been formally evaluated.Methods Two hundred forty-two ECGs demonstrating paroxysmal narrow QRS complex (< 0.11 ms) tachycardia (rate > or = 120 beats/min) were analyzed. All ECGs were analyzed by an observer who had no knowledge of the mechanism of the tachycardia.Results There were 137 atrioventricular (AV) reciprocating tachycardias, 93 AV node reentrant tachycardias and 12 atrial tachycardias. Six criteria were found to be significantly different between tachycardia types by univariate analysis. A P wave separate from the QRS complex was observed more frequently in AV reciprocating tachycardia (68%) and atrial tachycardias (75%). A pseudo r' deflection in lead V1 and a pseudo S wave in the inferior leads were more common in AV node reentrant tachycardia (58% and 14%, respectively); QRS alternans was present more often during AV reciprocating tachycardia (27%). When a P wave was present, an RP/PR interval ratio > or = 1 was more common in atrial tachycardias (89%). During sinus rhythm, manifest pre-excitation was observed more often in patients with AV reciprocating tachycardia (45%). By multivariate analysis, the presence of a P wave separate from the QRS complex, pseudo r' deflection in lead V1, QRS alternans during tachycardia and the presence of pre-excitation during sinus rhythm were independent predictors of tachycardia type. These criteria correctly identified 86% of AV node reentrant tachycardias, 81% of AV reciprocating tachycardias and incorrectly assigned the tachycardia type in 19% of cases.Conclusions Several features on the ECG are useful for differentiating supraventricular tachycardia type. However, approximately 20% of tachycardias may be incorrectly classified on the basis of analysis of the ECG; therefore, the ECG should not serve as the sole means for determining tachycardia mechanism.

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Authors
Kalbfleisch, S. J., El-Atassi, R., Calkins, H., Langberg, J. J., & Morady, F.
Affiliations
University of Michigan (US)
Corresponding author
Morady, Fred
Venue
Journal of the American College of Cardiology
Publisher
Elsevier BV
Published
1993-01
Volume
21
Issue
1
Pages
85-89
ISSN
0735-1097 (ISSN-L)
OpenAlex
W2034823756
Cited by
115
References
10
Citations by year
2026: 2 · 2023: 5 · 2022: 3 · 2021: 4 · 2020: 6 · 2019: 2 · 2018: 4 · 2016: 3 · 2015: 8 · 2014: 2 · 2013: 4 · 2012: 5
FWCI
2.53
Type
journal article
Language
en
Open access
Locations
  • Journal of the American College of Cardiology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Arrhythmias and Treatments
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac pacing and defibrillation studies
Keywords
supraventricular tachycardia, 12-lead ECG, atrioventricular reciprocating tachycardia, atrial tachycardia, P wave, QRS alternans, preexcitation, electrocardiographic criteria
MeSH terms
Adolescent, Adult, Aged, Aged, 80 and over, Analysis of Variance, Diagnosis, Differential, Electrocardiography, Humans, Middle Aged, Sensitivity and Specificity, Tachycardia, Paroxysmal, Tachycardia, Supraventricular, Observer Variation, Multivariate Analysis, Chi-Square Distribution

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