title: Predicting outcomes after myocardial infarction by using the Chronic Kidney Disease Epidemiology Collaboration equation in comparison with the Modification of Diet in Renal Disease study equation: results from the Korea Acute Myocardial Infarction Registry.
abstract: BACKGROUND
  The presence of chronic kidney disease is an independent prognostic factor in patients with myocardial infarction (MI). We compared the Chronic Kidney Disease-Epidemiology Collaboration (CKD-EPI) equation and the Modification of Diet in Renal Disease (MDRD) study equation with regard to prognostic value in patients with MI.
  
  
  METHODS
  This study analyzed a retrospective cohort of 11 050 consecutive patients who had MI and were enrolled in the Korea Acute Myocardial Infarction Registry from November 2005 to August 2008. We applied the CKD-EPI equation and the MDRD study equation to determine the estimated glomerular filtration rate (eGFR) in a cohort of patients with MI.
  
  
  RESULTS
  The mean eGFR(CKD-EPI) was slightly higher than that of eGFR(MDRD) (73.16 versus 72.23 mL/min/1.73 m(2); P < 0.001). The prevalence of eGFR(CKD-EPI) <60 mL/min/1.73 m(2) was 26.9%, whereas that of eGFR(MDRD) was 28.5%. The area under the receiver operating characteristic curve was significantly larger for predicting the 1-year major adverse cardiovascular event (MACE) and 1-year all-cause mortality with CKD-EPI equation (0.648 versus 0.641, 0.768 versus 0.753, respectively; P < 0.001). The net reclassification index for improvement in risk of 1-year MACE and 1-year all-cause mortality were 4.09% (P< 0.001) and 9.25% (P< 0.001), respectively.
  
  
  CONCLUSIONS
  The application of the eGFR(CKD-EPI) demonstrated better predictive values for clinical outcomes than eGFR(MDRD) in a cohort of patients with MI.
authors.affiliation: Department of Internal Medicine, Chonnam National University Medical School, Gwangju, Korea.
authors.forename: Joon Seok
authors.initials: JS
authors.lastname: Choi
authors.forename: Chang Seong
authors.initials: CS
authors.lastname: Kim
authors.forename: Eun Hui
authors.initials: EH
authors.lastname: Bae
authors.forename: Seong Kwon
authors.initials: SK
authors.lastname: Ma
authors.forename: Young-Keun
authors.initials: YK
authors.lastname: Ahn
authors.forename: Myung Ho
authors.initials: MH
authors.lastname: Jeong
authors.forename: Young Jo
authors.initials: YJ
authors.lastname: Kim
authors.forename: Myeong Chan
authors.initials: MC
authors.lastname: Cho
authors.forename: Chong Jin
authors.initials: CJ
authors.lastname: Kim
authors.forename: Soo Wan
authors.initials: SW
authors.lastname: Kim
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D015331:Cohort Studies; D005260:Female; D005919:Glomerular Filtration Rate; D006801:Humans; D007674:Kidney Diseases / Q000178:diet therapy / Q000503:physiopathology; D008297:Male; D008875:Middle Aged; D009203:Myocardial Infarction / Q000150:complications* / Q000503:physiopathology*; D011237:Predictive Value of Tests; D011379:Prognosis; D012042:Registries; D051436:Renal Insufficiency, Chronic / Q000150:complications* / Q000453:epidemiology* / Q000503:physiopathology; D056910:Republic of Korea / Q000453:epidemiology; D012189:Retrospective Studies