Diego Pereira Gregório de Andrade et al. Fabiane Letícia de Freitas Gabrielle Barbosa Borgomoni Maxim Goncharov … Pedro Gabriel Melo de Barros e Silva Marcelo Arruda Nakazone Valquiria Pelisser Campagnucci Marcos Gradim Tiveron Luiz Augusto Lisboa Luís Alberto Oliveira Dallan Fabio Biscegli Jatene Omar Asdrúbal Vilca Mejia
Abstract
Background:
Identifying risk factors in cardiovascular surgery assists in predictability, resulting in optimization of outcomes and cost reduction.
Objective:
This study aimed to identify preoperative and intraoperative risk predictors for prolonged hospitalization after coronary artery bypass grafting (CABG) surgery in the state of São Paulo, Brazil.
Methods:
A cross-sectional analysis using data from the REPLICCAR II database, a prospective, consecutive, multicenter registry that included CABG surgeries performed between August 2017 and July 2019. The primary outcome was a prolonged hospital stay (PHS), defined as a postoperative period exceeding 14 days. Univariate and multivariate logistic regression analyses were performed to identify the predictors with significance set at p <0.05.
Results:
The median age was 63 (57-70) years and 26.55% of patients were female. Among the 3703 patients analyzed, 228 (6.16%) had a PHS after CABG, with a median hospital stay of 17 (16-20) days. Predictors of PHS after CABG included age >60 years (OR 2.05; 95% CI 1.43-2.87; p<0.001); renal failure (OR 1.73; 95% CI 1.29-2.32; p <0.001) and intraoperative red blood cell transfusion (OR 1.32; 95% CI 1.07-2.06; p=0.01).
Conclusion:
Age >60 years, renal failure, and intraoperative red blood cell transfusion were independent predictors of PHS after CABG. The identification of these variables can help in multiprofessional strategic planning aimed to enhance results and resource utilization in the state of São Paulo.
