title: Predictive value of different estimated glomerular filtration rates on hospital adverse events following acute myocardial infarction.
abstract: OBJECTIVE
  to assess whether different glomerular filtration rate (GFR) equations render different predictive value on hospital adverse events in patients hospitalised due to acute myocardial infarction.
  
  
  METHODS
  the study design is cross-sectional. Data from consecutive patients with acute myocardial infarction were analyzed. Three different estimated GFR equations, i.e. Cockroft-Gault (eGFRC-G), MDRD (eGFRMDRD) and CKD-EPI (eGFRCKD-EPI) were calculated. Hospital adverse events in these study patients were recorded. The predictive values of these eGFRs on hospital adverse events were compared with ROC curve. Univariate and multivariable analysis to assess which GFR equation as independent predictor for hospital adverse events were performed.
  
  
  RESULTS
  among 103 study patients, 49 patients (47.6%) experienced hospital adverse events. Proportion of hospital adverse events were significantly associated with eGFRMDRD (p<0.01) and eGFRCKD-EPI (p=0.02), but not with eGFRC-G (p=0.10). Hospital adverse events were better predicted by eGFRMDRD than by eGFRCKD-EPI (AUC, 0.698; 95%CI: 0.596-0.800, p<0.01 versus AUC, 0.693; 95%CI: 0.591-0.796, p<0.01). Multivariable analysis showed moderate (adjusted OR 3.50; 95%CI: 1.38-8.85, p<0.01) and severe (adjusted OR 8.13, 95%CI: 1.38-47.91, p=0.02) kidney dysfunctions based on eGFRMDRD were independent predictors for hospital adverse events.
  
  
  CONCLUSIONS
  an eGFR based on MDRD gave better predictive value than eGFR based on CKD-EPI on hospital adverse events among acute myocardial infarction. Moderate and severe kidney dysfunctions based on eGFRMDRD were independent predictors for hospital adverse events following acute myocardial infarction.
authors.affiliation: Department of Cardiology and Vascular Medicine, Faculty of Medicine, Gadjah Mada University, Yogyakarta, Indonesia. anggorobudih@yahoo.com
authors.forename: Anggoro B
authors.initials: AB
authors.lastname: Hartopo
authors.forename: Budi Y
authors.initials: BY
authors.lastname: Setianto
authors.forename: Putrika P R
authors.initials: PP
authors.lastname: Gharini
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000787:Angina Pectoris / Q000209:etiology; D003430:Cross-Sectional Studies; D003661:Decision Support Techniques; D005260:Female; D005500:Follow-Up Studies; D005919:Glomerular Filtration Rate; D006333:Heart Failure / Q000209:etiology; D017052:Hospital Mortality; D006760:Hospitalization; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D009203:Myocardial Infarction / Q000150:complications* / Q000401:mortality / Q000628:therapy; D011379:Prognosis; D012372:ROC Curve; D051437:Renal Insufficiency / Q000150:complications* / Q000175:diagnosis / Q000503:physiopathology; D012770:Shock, Cardiogenic / Q000209:etiology