Predicting risk of atrial fibrillation after heart valve surgery: evaluation of a Brazilian risk score

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Autor principal: Michel Pompeu Barros de Oliveira Sá
Formato: Artículo científico
Lenguaje:en
Publicado: Sociedade Brasileira de Cirurgia Cardiovascular 2012
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author Michel Pompeu Barros de Oliveira Sá
author_facet Michel Pompeu Barros de Oliveira Sá
contents Predicting risk of atrial fibrillation after heart valve surgery: evaluation of a Brazilian risk score Michel Pompeu Barros de Oliveira Sá Marcus Villander Barros de Oliveira Sá Ana Carla Lopes de Albuquerque Belisa Barreto Gomes da Silva José Williams Muniz de Siqueira Phabllo Rodrigo Santos de Brito Paulo Ernando Ferraz Ricardo de Carvalho Lima Medicina Atrial fibrillation Heart valve diseases Postoperative period Objective: The aim of this study is to evaluate the applicability of a Brazilian score for predicting atrial fibrillation (AF) in patients undergoing heart valve surgery in the Division of Cardiovascular Surgery of Pronto Socorro Cardiológico de Pernambuco - PROCAPE (Recife, PE, Brazil). Methods: Retrospective study involving 491 consecutive patients operated between May/2007 and December/2010. The registers contained all the information used to calculate the scor e. The outcome of inter est was AF . W e calculated association of model factors with AF (univariate analysis and multivariate logistic regression analysis), and association of risk scor e classes with AF . Result s: The incidence of AF was 31.2%. In multivariate analysis, the four variables of the score were predictors of postoperative AF: age >70 years (OR 6.82; 95%CI 3.34-14.10; P <0.001), mitral valve disease (OR 3.18; 95%CI 1.83-5.20; P <0.001), no use of beta-blocker or discontinuation of its use in the postoperative period (OR 1.63; 95%CI 1.05-2.51; P =0.028), total fluid balance > 1500 ml at first 24 hours (OR 1.92; 95%CI 1.28-2.88; P =0.002). W e observed that the higher the risk class of the patient (low , medium, high, ver y high), the gr eater is the incidence of postoperative AF (4.2%; 18.1%; 30.8%; 49.2%), showing that the model seems to be a good pr edictor of risk of postoperative AF , in a statistically significant association ( P <0.001). Conclusions: The Brazilian score proved to be a simple and objective index, revealing a satisfactory predictor of development of postoperative AF in patients undergoing heart valve surgery at our institution. 2012 artículo científico 0102-7638 https://www.redalyc.org/articulo.oa?id=398941884017 en http://www.redalyc.org/revista.oa?id=3989 Revista Brasileira de Cirurgia Cardiovascular/Brazilian Journal of Cardiovascular Surgery application/pdf Sociedade Brasileira de Cirurgia Cardiovascular Revista Brasileira de Cirurgia Cardiovascular/Brazilian Journal of Cardiovascular Surgery (Brasil) Num.1 Vol.27
format Artículo científico
id redalyc_398941884017
institution Redalyc
language en
publishDate 2012
publisher Sociedade Brasileira de Cirurgia Cardiovascular
spellingShingle Predicting risk of atrial fibrillation after heart valve surgery: evaluation of a Brazilian risk score
Michel Pompeu Barros de Oliveira Sá
Medicina
Atrial fibrillation
Heart valve diseases
Postoperative period
Predicting risk of atrial fibrillation after heart valve surgery: evaluation of a Brazilian risk score Michel Pompeu Barros de Oliveira Sá Marcus Villander Barros de Oliveira Sá Ana Carla Lopes de Albuquerque Belisa Barreto Gomes da Silva José Williams Muniz de Siqueira Phabllo Rodrigo Santos de Brito Paulo Ernando Ferraz Ricardo de Carvalho Lima Medicina Atrial fibrillation Heart valve diseases Postoperative period Objective: The aim of this study is to evaluate the applicability of a Brazilian score for predicting atrial fibrillation (AF) in patients undergoing heart valve surgery in the Division of Cardiovascular Surgery of Pronto Socorro Cardiológico de Pernambuco - PROCAPE (Recife, PE, Brazil). Methods: Retrospective study involving 491 consecutive patients operated between May/2007 and December/2010. The registers contained all the information used to calculate the scor e. The outcome of inter est was AF . W e calculated association of model factors with AF (univariate analysis and multivariate logistic regression analysis), and association of risk scor e classes with AF . Result s: The incidence of AF was 31.2%. In multivariate analysis, the four variables of the score were predictors of postoperative AF: age >70 years (OR 6.82; 95%CI 3.34-14.10; P <0.001), mitral valve disease (OR 3.18; 95%CI 1.83-5.20; P <0.001), no use of beta-blocker or discontinuation of its use in the postoperative period (OR 1.63; 95%CI 1.05-2.51; P =0.028), total fluid balance > 1500 ml at first 24 hours (OR 1.92; 95%CI 1.28-2.88; P =0.002). W e observed that the higher the risk class of the patient (low , medium, high, ver y high), the gr eater is the incidence of postoperative AF (4.2%; 18.1%; 30.8%; 49.2%), showing that the model seems to be a good pr edictor of risk of postoperative AF , in a statistically significant association ( P <0.001). Conclusions: The Brazilian score proved to be a simple and objective index, revealing a satisfactory predictor of development of postoperative AF in patients undergoing heart valve surgery at our institution. 2012 artículo científico 0102-7638 https://www.redalyc.org/articulo.oa?id=398941884017 en http://www.redalyc.org/revista.oa?id=3989 Revista Brasileira de Cirurgia Cardiovascular/Brazilian Journal of Cardiovascular Surgery application/pdf Sociedade Brasileira de Cirurgia Cardiovascular Revista Brasileira de Cirurgia Cardiovascular/Brazilian Journal of Cardiovascular Surgery (Brasil) Num.1 Vol.27
title Predicting risk of atrial fibrillation after heart valve surgery: evaluation of a Brazilian risk score
topic Medicina
Atrial fibrillation
Heart valve diseases
Postoperative period
url https://www.redalyc.org/articulo.oa?id=398941884017