Literature DB >> 8417081

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

S J Kalbfleisch1, R el-Atassi, H Calkins, J J Langberg, F Morady.   

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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Year:  1993        PMID: 8417081     DOI: 10.1016/0735-1097(93)90720-l

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  9 in total

1.  Supraventricular Tachyarrhythmia.

Authors: 
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2.  Testing of a new T-wave subtraction algorithm as an aid to localizing ectopic atrial beats.

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Review 3.  EGC diagnosis of paroxysmal supraventricular tachycardias in patients without preexcitation.

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Journal:  Ann Noninvasive Electrocardiol       Date:  2011-01       Impact factor: 1.468

4.  Differentiation of narrow QRS complex tachycardia types using the 12-lead electrocardiogram.

Authors:  Izzet Erdinler; Ertan Okmen; Enis Oguz; Ahmet Akyol; Kadir Gurkan; Tanju Ulufer
Journal:  Ann Noninvasive Electrocardiol       Date:  2002-04       Impact factor: 1.468

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7.  A Smartphone Application to Diagnose the Mechanism of Pediatric Supraventricular Tachycardia.

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Journal:  Pediatr Cardiol       Date:  2015-05-10       Impact factor: 1.655

8.  Electrocardiographic variables associated with underlying Brugada syndrome or drug-induced Type 1 Brugada pattern in patients with slow/fast atrioventricular nodal reentrant tachycardia.

Authors:  Can Hasdemir; Hatice Sahin; Gulten Duran; Mehmet N Orman; Umut Kocabas; Serdar Payzin; Mehmet Aydin; Charles Antzelevitch
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9.  Validation of Standard and New Criteria for the Differential Diagnosis of Narrow QRS Tachycardia in Children and Adolescents.

Authors:  Karol Deutsch; Sebastian Stec; Piotr Kukla; Aleksandra Morka; Marek Jastrzebski; Artur Baszko; Maciej Pitak; Janusz Sledz; Kamil Fijorek; Mariusz Mazij; Bartosz Ludwik; Marcin Gubaro; Leslaw Szydlowski
Journal:  Medicine (Baltimore)       Date:  2015-12       Impact factor: 1.817

  9 in total

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