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Impact of Renal Dysfunction on Long-Term Survival After Isolated Coronary Artery Bypass Surgery

Authors :
Xin Yuan
Yan Li
Shengshou Hu
Zhe Zheng
Yang Wang
Hongguang Fan
Ye Lin
Wei Li
Jianfeng Hou
Shiju Zhang
Source :
The Annals of Thoracic Surgery. 87:1079-1084
Publication Year :
2009
Publisher :
Elsevier BV, 2009.

Abstract

Background Preoperative renal dysfunction has been an important predictor for adverse cardiovascular events after coronary artery bypass grafting (CABG). In the past, serum creatinine was widely used to assess renal function. Until recently, estimated glomerular filtration rate (eGFR) was recommended in evaluating renal function. The Cockcroft-Gault formula and the Modification of Diet in Renal Disease (MDRD) equation are two widely used formulas in clinical practice. Which method best predicts long-term outcome after CABG is still unknown. This study compared the predictive effectiveness of the Cockcroft-Gault formula, the MDRD equation, and serum creatinine level for in-hospital and long-term mortality. Methods We retrospectively reviewed data collected from 5559 patients who underwent isolated CABG at Fuwai Hospital from January 1999 to December 2005. The main outcomes were in-hospital and long-term mortality. Receiver operating characteristic (ROC) curves and Cox analysis were used for the comparison. Results Mean follow-up was 56.5 ± 24.6 months. ROC curve analysis showed that the Cockcroft-Gault formula had the greatest accuracy for predicting in-hospital mortality (area under the curve, 0.755; p ω 0.001). Multivariate analysis confirmed that the eGFR based on the Cockcroft-Gault formula was an independent predictor of in-hospital (odds ratio, 4.51, p ω 0.001) and long-term (hazard ratio, 1.54; p = 0.003) mortality. Both formulas were better than the serum creatinine level. Conclusions Both formulas could provide a better measure of risk assessment than serum creatinine for in-hospital and long-term mortality. The Cockcroft-Gault formula was better than the MDRD equation for predicting in-hospital mortality.

Details

ISSN :
00034975
Volume :
87
Database :
OpenAIRE
Journal :
The Annals of Thoracic Surgery
Accession number :
edsair.doi.dedup.....2f47616e504f55cb98bb0a8b3dba066a
Full Text :
https://doi.org/10.1016/j.athoracsur.2009.01.065