TY - JOUR T1 - Comparison of the prevalence and mortality risk of CKD in Australia using the CKD Epidemiology Collaboration (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) Study GFR estimating equations: the AusDiab (Australian Diabetes, Obesity and Lifestyle) Study. AU - White,Sarah L, AU - Polkinghorne,Kevan R, AU - Atkins,Robert C, AU - Chadban,Steven J, PY - 2009/07/07/received PY - 2009/12/02/accepted PY - 2010/2/9/entrez PY - 2010/2/9/pubmed PY - 2010/4/29/medline SP - 660 EP - 70 JF - American journal of kidney diseases : the official journal of the National Kidney Foundation JO - Am J Kidney Dis VL - 55 IS - 4 N2 - BACKGROUND: The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) is more accurate than the Modification of Diet in Renal Disease (MDRD) Study equation. We applied both equations in a cohort representative of the Australian adult population. STUDY DESIGN: Population-based cohort study. SETTING & PARTICIPANTS: 11,247 randomly selected noninstitutionalized Australians aged >or= 25 years who attended a physical examination during the baseline AusDiab (Australian Diabetes, Obesity and Lifestyle) Study survey. PREDICTORS & OUTCOMES: Glomerular filtration rate (GFR) was estimated using the MDRD Study and CKD-EPI equations. Kidney damage was defined as urine albumin-creatinine ratio >or= 2.5 mg/mmol in men and >or= 3.5 mg/mmol in women or urine protein-creatinine ratio >or= 0.20 mg/mg. Chronic kidney disease (CKD) was defined as estimated GFR (eGFR) >or= 60 mL/min/1.73 m(2) or kidney damage. Participants were classified into 3 mutually exclusive subgroups: CKD according to both equations; CKD according to the MDRD Study equation, but no CKD according to the CKD-EPI equation; and no CKD according to both equations. All-cause mortality was examined in subgroups with and without CKD. MEASUREMENTS: Serum creatinine and urinary albumin, protein, and creatinine measured on a random spot morning urine sample. RESULTS: 266 participants identified as having CKD according to the MDRD Study equation were reclassified to no CKD according to the CKD-EPI equation (estimated prevalence, 1.9%; 95% CI, 1.4-2.6). All had an eGFR >or= 45 mL/min/1.73 m(2) using the MDRD Study equation. Reclassified individuals were predominantly women with a favorable cardiovascular risk profile. The proportion of reclassified individuals with a Framingham-predicted 10-year cardiovascular risk >or= 30% was 7.2% compared with 7.9% of the group with no CKD according to both equations and 45.3% of individuals retained in stage 3a using both equations. There was no evidence of increased all-cause mortality in the reclassified group (age- and sex-adjusted hazard ratio vs no CKD, 1.01; 95% CI, 0.62-1.97). Using the MDRD Study equation, the prevalence of CKD in the Australian population aged >or= 25 years was 13.4% (95% CI, 11.1-16.1). Using the CKD-EPI equation, the prevalence was 11.5% (95% CI, 9.42-14.1). LIMITATIONS: Single measurements of serum creatinine and urinary markers. CONCLUSIONS: The lower estimated prevalence of CKD using the CKD-EPI equation is caused by reclassification of low-risk individuals. SN - 1523-6838 UR - https://www.unboundmedicine.com/medline/citation/20138414/Comparison_of_the_prevalence_and_mortality_risk_of_CKD_in_Australia_using_the_CKD_Epidemiology_Collaboration__CKD_EPI__and_Modification_of_Diet_in_Renal_Disease__MDRD__Study_GFR_estimating_equations:_the_AusDiab__Australian_Diabetes_Obesity_and_Lifestyle__Study_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0272-6386(09)01586-8 DB - PRIME DP - Unbound Medicine ER -