ABSTRACT
Objective Acute renal failure (ARF) requiring renal replacement therapy (RRT) was reported in 0.33％to 9.5％ patients after cardiac surgery.This study was designed to assess the clinical usefulness and accuracy of 3 clinical tools for the prediction of ARF after cardiac surgery in Chinese patients.Methods Five hundred and four eligible patients with complete clinical data in our institution received prospective assessment for RRT and acute kidney injury (AKI) between June,2009 and November,2010.The clinical tools used were Cleveland ARF Score,acute kidney injury prediction following elective cardiac surgery(AKICS) and Simplified Renal Index(SRI).Hosmer—Lemeshow goodness-of-fit test was used to estimate the calibration.Discrimination was determined with receiver operating characteristic (ROC) curves and area under a ROC curve (AUC).Results Follow-up was completed in all 504 patients.The overall incidence of postoperative RRT was 3.17％(16/504) with a mortality of 37.5％,and the incidence of AKI was 5.36％ ( 27/504 ).Discrimination for the prediction of RRT and AKI was good for SRI measured with AUROCs:0.759 (95％ CI,0.643-0.874) for RRT and 0.773 (95％ CI,0.677-0.868 ) for AKI.SRI score performed better in terms of discrimination than Cleveland ARF score and AKICS in our study,which did not consist with results reported by other centers.Conclusion SRI scoring system is the most useful among three tools for predicting postoperative RRT and should be the first choice in Chinese patients for whom a cardiac surgery is planned.It can also be used in predicting the composite end point of AKI with an extended application in patients at risk for postoperative kidney dysfunction.