Journal Article

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

Joon Seok Choi, Chang Seong Kim, Eun Hui Bae, Seong Kwon Ma, Young-Keun Ahn, Myung Ho Jeong, Young Jo Kim, Myeong Chan Cho, Chong Jin Kim and Soo Wan Kim

in Nephrology Dialysis Transplantation

Published on behalf of European Renal Association - European Dialysis and Transplant Assoc

Volume 27, issue 10, pages 3868-3874
Published in print October 2012 | ISSN: 0931-0509
Published online August 2012 | e-ISSN: 1460-2385 | DOI: http://dx.doi.org/10.1093/ndt/gfs344
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

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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 eGFRCKD-EPI was slightly higher than that of eGFRMDRD (73.16 versus 72.23 mL/min/1.73 m2; P < 0.001). The prevalence of eGFRCKD-EPI <60 mL/min/1.73 m2 was 26.9%, whereas that of eGFRMDRD 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 eGFRCKD-EPI demonstrated better predictive values for clinical outcomes than eGFRMDRD in a cohort of patients with MI.

Keywords: CKD-EPI equation; clinical outcome; glomerular filtration rate estimation; MDRD equation; myocardial infarction.

Journal Article.  4078 words. 

Subjects: Nephrology

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