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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.

Background: The short-term results after using arterial grafts still raise questions and doubts for medical society., Objective: To compare the immediate outcomes of patients undergoing single arterial graft versus multiple arterial grafts coronary artery bypass grafting surgery., Methods: Cross-sectional cohort study in the São Paulo Registry of Cardiovascular Surgery II (REPLICCAR II). Perioperative data from 3122 patients were grouped by the number of arterial grafts used, and their outcomes were compared: reoperation, deep sternal wound infection (DSWI), stroke, acute kidney injury, prolonged intubation (>24 hours), short hospital stay (<6 days), prolonged hospital stay (>14 days), morbidity and mortality. Propensity Score Matching (PSM) matched 1062 patients, adjusted for the mortality risk., Results: After PSM, the single arterial graft group showed patients with advanced age, more former smokers, hypertension, diabetes, stable angina, and previous myocardial infarction. In the multiple arterial grafts, there was a predominance of males, recent pneumonia, and urgent surgeries. After the procedure, there was a higher incidence of pleural effusion (p=0.042), pneumonia (p=0.01), reintubation (p=0.006), DSWI (p=0.007), and sternal debridement (p=0.015) in the multiple arterial grafts group, however, less need for blood transfusion (p=0.005), extremity infections (p=0.002) and shorter hospital stays (p=0.036). Bilateral use of the internal thoracic artery was not related to increased DSWI rate, but glycosylated hemoglobin >6.40% (p=0.048)., Conclusion: Patients undergoing the multiarterial technique had a higher incidence of pulmonary complications, and DSWI, where glycosylated hemoglobin ≥6.40%, had a greater influence on the infectious outcome than the choice of grafts.

Background and Aim of the Study: This study analyzed the arrival of coronavirus disease 2019 (COVID-19) in Brazil and its impact on coronary artery bypass grafting (CABG) surgery., Methods: Patients undergoing isolated CABG in six hospitals in Brazil were divided into two periods: pre-COVID-19 (March-May 2019, N = 468) and COVID-19 era (March-May 2020, N = 182). Perioperative data were included on a dedicated REDCap platform. Patients with clinical and tomographic criteria and/or PCR (+) for severe acute respiratory syndrome coronavirus 2 infection were considered COVID-19 (+). Logistic regression analysis was performed to create a multiple predictive model for mortality after CABG in COVID-19 era., Results: Compared to 2019, in 2020, CABG surgeries had a 2.8-fold increased mortality risk (95% confidence interval [CI]: 1-7.6, p = .041), patients who evolved with COVID-19 had a 11-fold increased mortality risk (95% CI: 2.2-54.9, p < .003), rates of morbidities and readmission to the intensive care unit. The surgical volume was decreased by 60%. The model to predict mortality after CABG in the COVID-19 era was validated with good calibration (Hosmer-Lemeshow = 1.43) and discrimination (receiver operating characteristic = 0.78)., Conclusion: The COVID-19 pandemic had an adverse impact on mortality, morbidity and volume of patients undergoing CABG., (© 2021 Wiley Periodicals LLC.)

Background: The performance of traditional scores is significantly limited to predict mortality in high-risk cardiac surgery. The aim of this study was to compare the performance of STS, ESII and HiriSCORE models in predicting mortality in high-risk patients undergoing CABG., Methods: Cross-sectional analysis in the international prospective database of high-risk patients: HiriSCORE project. We evaluated 248 patients with STS or ESII (5-10%) undergoing CABG in 8 hospitals in Brazil and China. The main outcome was mortality, defined as all deaths occurred during the hospitalization in which the operation was performed, even after 30 days. Five variables were selected as predictors of mortality in this cohort of patients. The model's performance was evaluated through the calibration-in-the-large and the receiver operating curve (ROC) tests., Results: The mean age was 69.90±9.45, with 52.02% being female, 25% of the patients were on New York Heart Association (NYHA) class IV and 49.6% had Canadian Cardiovascular Society (CCS) class 4 angina, and 85.5% had urgency or emergency status. The mortality observed in the sample was 13.31%. The HiriSCORE model showed better calibration (15.0%) compared to ESII (6.6%) and the STS model (2.0%). In the ROC curve, the HiriSCORE model showed better accuracy (ROC = 0.74) than the traditional models STS (ROC = 0.67) and ESII (ROC = 0.50)., Conclusion: Traditional models were inadequate to predict mortality of high-risk patients undergoing CABG. However, the HiriSCORE model was simple and accurate to predict mortality in high-risk patients., Competing Interests: The authors have no conflict of interest to declare in relation to this work.

Since the beginning of the coronavirus disease (COVID-19) pandemic, in March 2020, the number of people infected with COVID-19 worldwide increases continuously. Brazil is being followed with great concern in the international media, as it can, very soon, be the epicenter of the pandemic. Initial surgical data suggest that patients who acquire COVID-19 in the perioperative period are prone to a higher morbidity and mortality, however, evidence in cardiac surgery is still scarce. This article aims to aggregate to the growing evidence suggesting that perioperative infection with severe acute respiratory syndrome coronavirus 2 contributes to a more morbid evolution of the case.

The quality of data in electronic healthcare databases is a critical component when used for research and health practice. The aim of the present study was to assess the data quality in the Paulista Cardiovascular Surgery Registry II (REPLICCAR II) using two different audit methods, direct and indirect. The REPLICCAR II database contains data from 9 hospitals in São Paulo State with over 700 variables for 2229 surgical patients. The data collection was performed in REDCap platform using trained data managers to abstract information. We directly audited a random sample (n = 107) of the data collected after 6 months and indirectly audited the entire sample after 1 year of data collection. The indirect audit was performed using the data management tools in REDCap platform. We computed a modified Aggregate Data Quality Score (ADQ) previously reported by Salati et al. (2015). The agreement between data elements was good for categorical data (Cohen κ = 0.7, 95%CI = 0.59-0.83). For continuous data, the intraclass coefficient (ICC) for only 2 out of 15 continuous variables had an ICC < 0.9. In the indirect audit, 77% of the selected variables (n = 23) had a good ADQ score for completeness and accuracy. Data entry in the REPLICCAR II database proved to be satisfactory and showed competence and reliable data for research in cardiovascular surgery in Brazil., Competing Interests: We know of no conflicts of interest associated with this publication.