BackgroundRenal 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.ObjectiveTo objectively evaluate whether CC is a better risk predictor than serum
creatinine (SC) in patients undergoing cardiac surgery.MethodsAnalysis 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.ResultsDespite 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.ConclusionCompared with SC, CC is a better parameter of renal function in risk
stratification of patients undergoing cardiac surgery.