title: [Value of estimated glomerular filtration rate and serum creatinine for predicting long-term survival in Chinese patients after isolated coronary artery bypass graft surgery].
abstract: OBJECTIVE
  To compare the predictive value of glomerular filtration rate (GFR) estimated by the Cockcroft-Gault formula or the modification of diet in renal disease (MDRD) equation and serum creatinine for in-hospital and long-term mortality post coronary artery bypass graft surgery (CABG).
  
  
  METHODS
  Clinical data of 5559 consecutive patients undergoing isolated CABG were retrospectively analyzed. The main outcomes were in-hospital mortality and long-term mortality. Estimated GFR was calculated by the Cockcroft-Gault formula and MDRD equation respectively. Receiver-operating characteristic curves and Cox's analysis were used for the comparison.
  
  
  RESULTS
  Follow-up was complete in 5485 patients (97.6%). Analysis of receiver-operating characteristic curves showed that GFR estimated by the Cockcroft-Gault formula had a maximal accuracy for predicting in-hospital mortality (area under the curve: 0.755, P < 0.01). Multivariate logistic analysis and the Cox's analysis results indicated estimated GFR < 60 mlxmin(-1)x1.73 m(-2) base on the Cockcroft-Gault formula was an independent risk factor for in-hospital and long-term mortality (hazard ratio 4.51 for in-hospital mortality, P < 0.01; hazard ratio 1.54 for long-term mortality, P < 0.01), both Cockcroft-Gault formula and MDRD equation were superior to serum creatinine for predicting in-hospital and long-term mortality post CABG.
  
  
  CONCLUSIONS
  GFR estimated by the Cockcroft-Gault formula was superior to GFR estimated by the MDRD equation for predicting in-hospital mortality, and estimated GFR was superior to serum creatinine for predicting in-hospital and long-term mortality.
authors.affiliation: Department of Cardiac Surgery, Cardiovascular Institute and Fu Wai Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100037, China.
authors.forename: Ye
authors.initials: Y
authors.lastname: Lin
authors.forename: Zhe
authors.initials: Z
authors.lastname: Zheng
authors.forename: Sheng-Shou
authors.initials: SS
authors.lastname: Hu
authors.forename: Jian-Ping
authors.initials: JP
authors.lastname: Xu
authors.forename: Feng
authors.initials: F
authors.lastname: Lü
authors.forename: Wei
authors.initials: W
authors.lastname: Wang
authors.forename: Yun-Hu
authors.initials: YH
authors.lastname: Song
authors.forename: Han-Song
authors.initials: HS
authors.lastname: Sun
authors.forename: Xin
authors.initials: X
authors.lastname: Yuan
authors.forename: Xiang-Bin
authors.initials: XB
authors.lastname: Pan
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D044466:Asian People; D002423:Cause of Death; D001026:Coronary Artery Bypass; D003404:Creatinine / Q000097:blood*; D005260:Female; D005919:Glomerular Filtration Rate; D017052:Hospital Mortality; D006801:Humans; D007677:Kidney Function Tests / Q000379:methods*; D008297:Male; D008875:Middle Aged; D011184:Postoperative Period; D011237:Predictive Value of Tests; D012372:ROC Curve; D051437:Renal Insufficiency / Q000175:diagnosis / Q000209:etiology / Q000401:mortality*; D012189:Retrospective Studies; D012307:Risk Factors; D055815:Young Adult
chemical_list: D003404:Creatinine