Bruce Ovbiagele1. 1. Stroke Center and Department of Neurology, UCLA Medical Center, Los Angeles, CA 90095, USA. ovibes@mednet.ucla.edu
Abstract
OBJECTIVE: To assess whether the newly proposed formula for estimating glomerular filtration function (GFR) - the Chronic Kidney Disease Epidemiology (CKD-EPI) equation - would be materially distinct from the established Modification of Diet in Renal Disease (MDRD) equation in diagnosing chronic kidney disease (CKD) among US stroke survivors. MATERIALS AND METHODS: Data from the National Health and Nutrition Examination Survey from 1999-2004, a nationally representative sample of adults from the United States, were used to assess the correlation between the MDRD and CKD-EPI equations among persons aged > or = 55 years who had experienced a prior stroke. CKD was defined as GFR <60 ml/min/1.73 m(2). RESULTS: Among 6,382 adults, 5,321 (83%) had full and complete data. With MDRD, 20.4% of the sample had CKD vs. 19.4% using the CKD-EPI. There was 97.7% agreement between MDRD and CKD-EPI using the 60 ml/min/ 1.73 m(2) cutoff point. The correlation between both equations was extremely high (r = 0.954). CONCLUSION: The newly developed CKD-EPI equation is very highly correlated to the more established MDRD formula and does not materially change CKD diagnosis made by the latter among persons with a history of stroke. Copyright 2010 S. Karger AG, Basel.
OBJECTIVE: To assess whether the newly proposed formula for estimating glomerular filtration function (GFR) - the Chronic Kidney Disease Epidemiology (CKD-EPI) equation - would be materially distinct from the established Modification of Diet in Renal Disease (MDRD) equation in diagnosing chronic kidney disease (CKD) among US stroke survivors. MATERIALS AND METHODS: Data from the National Health and Nutrition Examination Survey from 1999-2004, a nationally representative sample of adults from the United States, were used to assess the correlation between the MDRD and CKD-EPI equations among persons aged > or = 55 years who had experienced a prior stroke. CKD was defined as GFR <60 ml/min/1.73 m(2). RESULTS: Among 6,382 adults, 5,321 (83%) had full and complete data. With MDRD, 20.4% of the sample had CKD vs. 19.4% using the CKD-EPI. There was 97.7% agreement between MDRD and CKD-EPI using the 60 ml/min/ 1.73 m(2) cutoff point. The correlation between both equations was extremely high (r = 0.954). CONCLUSION: The newly developed CKD-EPI equation is very highly correlated to the more established MDRD formula and does not materially change CKD diagnosis made by the latter among persons with a history of stroke. Copyright 2010 S. Karger AG, Basel.