| Full text | |
| Author(s): |
Camila P. S. Arthur
[1]
;
Omar A. V. Mejia
[2]
;
Diogo Osternack
[3]
;
Marcelo Arruda Nakazone
[4]
;
Maxim Goncharov
[5]
;
Luiz A. F. Lisboa
[6]
;
Luís A. O. Dallan
[7]
;
Pablo M. A. Pomerantzeff
[8]
;
Fabio B. Jatene
[9]
Total Authors: 9
|
| Affiliation: | [1] Universidade de São Paulo. Faculdade de Medicina. Hospital das Clínicas - Brasil
[2] Universidade de São Paulo. Faculdade de Medicina. Hospital das Clínicas - Brasil
[3] Universidade de São Paulo. Faculdade de Medicina. Hospital das Clínicas - Brasil
[4] Hospital de Base de São José do Rio Preto - Brasil
[5] Universidade de São Paulo. Faculdade de Medicina. Hospital das Clínicas - Brasil
[6] Universidade de São Paulo. Faculdade de Medicina. Hospital das Clínicas - Brasil
[7] Universidade de São Paulo. Faculdade de Medicina. Hospital das Clínicas - Brasil
[8] Universidade de São Paulo. Faculdade de Medicina. Hospital das Clínicas - Brasil
[9] Universidade de São Paulo. Faculdade de Medicina. Hospital das Clínicas - Brasil
Total Affiliations: 9
|
| Document type: | Journal article |
| Source: | Arquivos Brasileiros de Cardiologia; v. 109, n. 4, p. 290-298, 2017-09-04. |
| Abstract | |
Abstract Background: Renal dysfunction is an independent predictor of morbidity and mortality in cardiac surgery. For a better assessment of renal function, calculation of creatinine clearance (CC) may be necessary. Objective: To objectively evaluate whether CC is a better risk predictor than serum creatinine (SC) in patients undergoing cardiac surgery. Methods: Analysis of 3,285 patients registered in a prospective, consecutive and mandatory manner in the Sao Paulo Registry of Cardiovascular Surgery (REPLICCAR) between November 2013 and January 2015. Values of SC, CC (Cockcroft-Gault) and EuroSCORE II were obtained. Association analysis of SC and CC with morbidity and mortality was performed by calibration and discrimination tests. Independent multivariate models with SC and CC were generated by multiple logistic regression to predict morbidity and mortality following cardiac surgery. Results: Despite the association between SC and mortality, it did not calibrate properly the risk groups. There was an association between CC and mortality with good calibration of risk groups. In mortality risk prediction, SC was uncalibrated with values > 1.35 mg /dL (p < 0.001). The ROC curve showed that CC is better than SC in predicting both morbidity and mortality risk. In the multivariate model without CC, SC was the only predictor of morbidity, whereas in the model without SC, CC was not only a mortality predictor, but also the only morbidity predictor. Conclusion: Compared with SC, CC is a better parameter of renal function in risk stratification of patients undergoing cardiac surgery. (AU) | |
| FAPESP's process: | 12/51229-5 - Heart surgery programs innovation using surgical risk stratification at the São Paulo state public healthcare system: SP-score-SUS Study |
| Grantee: | Luiz Augusto Ferreira Lisboa |
| Support Opportunities: | Research Grants - Research in Public Policies for the National Health Care System (PP-SUS) |