Literature DB >> 20493964

Vectorcardiographic and electrocardiographic criteria to distinguish new and old left bundle branch block.

Alexei Shvilkin1, Bosko Bojovic, Branislav Vajdic, Ihor Gussak, Kalon K Ho, Peter Zimetbaum, Mark E Josephson.   

Abstract

BACKGROUND: There are no established criteria to differentiate new from old left bundle branch block (LBBB). This complicates management of patients with LBBB and suspected acute coronary syndrome.
OBJECTIVES: The purpose of this study was to develop electrocardiographic (ECG) criteria to differentiate new and old LBBB.
METHODS: All LBBB tracings (n = 3,706) in a hospital ECG database were retrieved. New (<24 hours, n = 39) and old (>24 hours, n = 1,760) LBBB tracings were identified. QRS and T-wave amplitudes, directions, and durations were measured digitally. Vectorcardiograms were reconstructed from 12-lead ECGs using inverse Dower transform and analyzed with Cardio3KG software. Receiver operator characteristic (ROC) curves were used to develop decision rules to distinguish new and old LBBB.
RESULTS: The new LBBB group had larger T-vector magnitude (1.20 +/- 0.07 vs. 0.71 +/- 0.01 mV), smaller QRS vector magnitude (2.13 +/- 0.12 vs. 2.47 +/- 0.02 mV), and a lower QRS/T vector magnitude ratio (QRS/T; 1.79 +/- 0.03 vs. 3.92 +/- 0.04) compared with the old LBBB group (mean +/- standard error of the mean, P <.001). The ratio of deepest S to largest T wave in precordial leads (Max S/T) was significantly smaller in the new compared with in the old LBBB group (1.66 +/- 0.05 vs. 3.54 +/- 0.08; P <.001). A decision rule using QRS/T <2.25 and Max S/T <2.5 had 100% sensitivity and 96%-68% specificity in diagnosing new LBBB, including subsets of patients with tachycardia and ischemia.
CONCLUSIONS: QRS/T and Max S/T allow accurate discrimination between new and old LBBB suitable for both computerized and manual analysis. If confirmed in prospective studies, this finding can improve management of patients with chest pain and LBBB. Copyright 2010 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20493964     DOI: 10.1016/j.hrthm.2010.05.024

Source DB:  PubMed          Journal:  Heart Rhythm        ISSN: 1547-5271            Impact factor:   6.343


  8 in total

1.  Novel measure of electrical dyssynchrony predicts response in cardiac resynchronization therapy: Results from the SMART-AV Trial.

Authors:  Larisa G Tereshchenko; Alan Cheng; Jason Park; Nicholas Wold; Timothy E Meyer; Michael R Gold; Suneet Mittal; Jagmeet Singh; Kenneth M Stein; Kenneth A Ellenbogen
Journal:  Heart Rhythm       Date:  2015-08-10       Impact factor: 6.343

2.  Mark E Josephson: Clinical Investigator.

Authors:  John M Miller
Journal:  Arrhythm Electrophysiol Rev       Date:  2017-04

3.  Painful Left Bundle Branch Block Syndrome in a Patient Referred to Electrophysiologic Study: A Case Report.

Authors:  José Nunes de Alencar Neto; Marcel Henrique Sakai; Saulo Rodrigo Ramalho de Moraes; Elano Sousa da Frota; Claudio Cirenza; Angelo Amato Vincenzo de Paola
Journal:  Arq Bras Cardiol       Date:  2020-05-18       Impact factor: 2.000

4.  Beat-to-beat vectorcardiographic analysis of ventricular depolarization and repolarization in myocardial infarction.

Authors:  Muhammad A Hasan; Derek Abbott; Mathias Baumert
Journal:  PLoS One       Date:  2012-11-14       Impact factor: 3.240

5.  Detection and removal of pacing artifacts prior to automated analysis of 12-lead ECG.

Authors:  Kazi T Haq; Neeraj Javadekar; Larisa G Tereshchenko
Journal:  Comput Biol Med       Date:  2021-04-19       Impact factor: 6.698

Review 6.  Review of Processing Pathological Vectorcardiographic Records for the Detection of Heart Disease.

Authors:  Jaroslav Vondrak; Marek Penhaker
Journal:  Front Physiol       Date:  2022-03-21       Impact factor: 4.755

7.  Synchronization of repolarization after cardiac resynchronization therapy: A combined clinical and modeling study.

Authors:  Nienke J Verzaal; Caroline J M van Deursen; Simone Pezzuto; Liliane Wecke; Wouter M van Everdingen; Kevin Vernooy; Tammo Delhaas; Angelo Auricchio; Frits W Prinzen
Journal:  J Cardiovasc Electrophysiol       Date:  2022-06-11       Impact factor: 2.942

Review 8.  The multiple electrocardiographic manifestations of ventricular repolarization memory.

Authors:  Pablo A Chiale; Daniel Etcheverry; Julio D Pastori; Pablo A Fernandez; Hugo A Garro; Mario D González; Marcelo V Elizari
Journal:  Curr Cardiol Rev       Date:  2014-08
  8 in total

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