Predizendo risco de fibrilação atrial após cirurgia cardíaca valvar

Autor: Paulo Ernando Ferraz, Belisa Barreto Gomes da Silva, Phabllo Rodrigo Santos de Brito, Marcus Villander Barros de Oliveira Sá, Ricardo de Carvalho Lima, José Williams Muniz de Siqueira, Michel Pompeu Barros de Oliveira Sá, Ana Carla Lopes de Albuquerque
Rok vydání: 2012
Předmět:
Zdroj: REVISTA BRASILEIRA DE CIRURGIA CARDIOVASCULAR. 27:117-122
ISSN: 0102-7638
DOI: 10.5935/1678-9741.20120017
Popis: 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 Cardiologico 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 score. The outcome of interest was AF. We calculated association of model factors with AF (univariate analysis and multivariate logistic regression analysis), and association of risk score classes with AF. RESULTS: 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 1500 ml at first 24 hours (OR 1.92; 95%CI 1.28-2.88; P=0.002). We observed that the higher the risk class of the patient (low, medium, high, very high), the greater is the incidence of postoperative AF (4.2%; 18.1%; 30.8%; 49.2%), showing that the model seems to be a good predictor of risk of postoperative AF, in a statistically significant association (P
Databáze: OpenAIRE