Literature DB >> 34563890

Noninvasive prediction of late potentials in the signal-averaged ECG in patients with chronic Chagas disease.

Elissandro de Freitas Silva1, Augusto Cardinalli-Neto1, Luciano Vaccari Grassi1, Paulo Roberto Nogueira1, Reinaldo Bulgarelli Bestetti2.   

Abstract

INTRODUCTION: Considering the importance of ventricular arrhythmias in the prediction of sudden cardiac death in chronic Chagas heart disease, the aim of the present study was to associate late potentials observed in the signal-averaged electrocardiogram (SAECG) with either non-sustained ventricular tachycardia in the 24-hour Holter monitoring or reduced left ventricular ejection fraction in the 2-dimension echocardiogram.
METHODS: This was a retrospective transversal study. The medical charts of 49 patients with chronic Chagas heart disease that underwent 24-hour Holter monitoring at our institution from September 2012 to December 2015 were reviewed. In the univariate analysis, variables associated with SAECG at a p value <0.05 were entered a multivariate stepwise logistic regression analysis through the model forward. A p value <0.05 was considered to have statistical significance.
RESULTS: In the univariate analysis, right bundle branch block, left atrial diameter, left ventricular systolic diameter, and left ventricular ejection fraction were associated with late potential in the SAECG. In the multivariate analysis, however, right bundle branch block and left atrial diameter were retained as independent predictors of late potentials in the SAECG.
CONCLUSIONS: Neither ventricular arrhythmias in the 24-Holter monitoring nor reduced left ventricular ejection fraction in the 2-D echocardiogram were associated with late potentials in the SAECG of patients with chronic Chagas heart disease.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Chagas cardiomyopathy; Chagas disease; Heart rhythm disorder; Signal-averaged electrocardiogram; Ventricular arrhythmias

Mesh:

Year:  2021        PMID: 34563890     DOI: 10.1016/j.jelectrocard.2021.09.011

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  1 in total

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Authors:  Jian Zhou; Jun Li
Journal:  Biomed Res Int       Date:  2022-08-08       Impact factor: 3.246

  1 in total

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