title: Impact of the definition of renal dysfunction on EuroSCORE performance.
abstract: OBJECTIVE
  Renal dysfunction is an important variable in the EuroSCORE (European System for Cardiac Operative Risk Evaluation) model and is currently defined as creatinine >200 mmol/L. The aim of this study was to examine whether using other definitions of renal dysfunction could improve the predictive ability of the EuroSCORE.
  
  
  METHODS
  Between January 2004 and January 2006, 1 205 patients underwent cardiac surgery. Their preoperative glomerular filtration rate and EuroSCORE were calculated. Four recalibrated EuroSCORE models were constructed using 1) creatinine as a binary variable; 2) creatinine as a continuous variable; 3) glomerular filtration rate as a categorical variable; or 4) glomerular filtration rate as a continuous variable. The predictive ability of these models was assessed using receiver operating characteristic curve analysis.
  
  
  RESULTS
  Hospital mortality was 4% (N.=47). Receiver operating characteristic curve values were: 0.78 for the original EuroSCORE, 0.80 for the recalibrated binary creatinine model, 0.83 for the continuous creatinine model, 0.83 for the categorical glomerular filtration rate model, and 0.82 for the continuous glomerular filtration rate model.
  
  
  CONCLUSIONS
  The use of creatinine as a continuous variable or glomerular filtration rate as a categorical or continuous variable improves the predictive accuracy of the EuroSCORE model for hospital mortality. Given the increasing incidence of preoperative renal dysfunction and its impact on hospital mortality, future risk stratification models should include continuous creatinine or glomerular filtration rate rather than creatinine as a binary variable.
authors.affiliation: Department of Cardio-Thoracic Surgery, Erasmus University Medical Center, Rotterdam, the Netherlands. m.vangameren@erasmusmc.nl
authors.forename: M
authors.initials: M
authors.lastname: VAN GAMEREN
authors.forename: L M A
authors.initials: LM
authors.lastname: KLIEVERIK
authors.forename: A
authors.initials: A
authors.lastname: STRUIJS
authors.forename: A C
authors.initials: AC
authors.lastname: VENEMA
authors.forename: A P
authors.initials: AP
authors.lastname: KAPPETEIN
authors.forename: A J J C
authors.initials: AJ
authors.lastname: BOGERS
authors.forename: J J M
authors.initials: JJ
authors.lastname: TAKKENBERG
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D015415:Biomarkers / Q000097:blood; D002138:Calibration; D006348:Cardiac Surgical Procedures / Q000009:adverse effects / Q000401:mortality*; D003404:Creatinine / Q000097:blood*; D005260:Female; D005919:Glomerular Filtration Rate; D006305:Health Status Indicators; D017052:Hospital Mortality; D006801:Humans; D007668:Kidney / Q000503:physiopathology*; D007674:Kidney Diseases / Q000209:etiology / Q000401:mortality* / Q000503:physiopathology; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D008954:Models, Biological; D016017:Odds Ratio; D011237:Predictive Value of Tests; D011446:Prospective Studies; D012372:ROC Curve; D018570:Risk Assessment; D012307:Risk Factors; D009626:Terminology as Topic; D055815:Young Adult
chemical_list: D015415:Biomarkers; D003404:Creatinine