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

被引:220
作者
White, Sarah L. [1 ,2 ]
Polkinghorne, Kevan R. [3 ]
Atkins, Robert C. [3 ,4 ]
Chadban, Steven J. [2 ,5 ]
机构
[1] George Inst Int Hlth, Camperdown, NSW 2050, Australia
[2] Univ Sydney, Sydney Med Sch, Sydney, NSW 2006, Australia
[3] Monash Med Ctr, Dept Med, Clayton, Vic, Australia
[4] Baker IDI Heart & Diabet Inst, Melbourne, Vic, Australia
[5] Royal Prince Alfred Hosp, Dept Transplantat, Sydney, NSW, Australia
基金
英国医学研究理事会;
关键词
Chronic kidney disease; prevalence; glomerular filtration rate; serum creatinine; measurement; mortality; CHRONIC KIDNEY-DISEASE; GLOMERULAR-FILTRATION-RATE; SERUM CREATININE; CARDIOVASCULAR EVENTS; POPULATION; ALBUMINURIA; VALUES; ADULTS; DEATH; RATIO;
D O I
10.1053/j.ajkd.2009.12.011
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
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 >= 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 >= 2.5 mg/mmol in men and a >= 3.5 mg/mmol in women or urine protein-creatinine ratio >= 0.20 mg/mg. Chronic kidney disease (CKD) was defined as estimated GFR (eGFR) >= 60 mUmin/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 >= 45 mUmin/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 >= 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 >= 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. Am J Kidney Dis 55:660-670. (C) 2010 by the National Kidney Foundation, Inc.
引用
收藏
页码:660 / 670
页数:11
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