Performance of formulas for estimating glomerular filtration rate in Indigenous Australians with and without Type 2 diabetes: The eGFR Study

L. J. Maple-Brown, E. I. Ekinci, J. T. Hughes, M. Chatfield, P. D. Lawton, G. R. D. Jones, A. G. Ellis, A. Sinha, A. Cass, W. E. Hoy, K. O'Dea, G. Jerums, R. MacIsaac, eGFR Study (Estimated Glomerular Filtration Rate), K. Warr, W. Majoni

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)

Abstract

Aims: It has been proposed that the Chronic Kidney Disease Epidemiology Collaboration formula estimates glomerular filtration rate more accurately than the Modification of Diet in Renal Disease formula. With the very high incidence of diabetes and end-stage kidney disease in Indigenous Australians, accurate estimation of glomerular filtration rate is vital in early detection of kidney disease. We aimed to assess the performance of the Chronic Kidney Disease Epidemiology Collaboration, Modification of Diet in Renal Disease and Cockcroft-Gault formulas in Indigenous Australians with and without diabetes. Methods: Indigenous Australians with (n = 224) or without (n = 340) Type 2 diabetes had a reference glomerular filtration rate measure using plasma disappearance of iohexol (measured glomerular filtration rate) over 4 h. Serum creatinine was measured by an enzymatic method. Performance was assessed by bias (measured glomerular filtration rate - estimated glomerular filtration rate) and accuracy (percentage of estimated glomerular filtration rate within 30% of measured glomerular filtration rate). Results: The median measured glomerular filtration rate (interquartile range) in participants with or without diabetes was 97 (68-119) and 108 (90-122) ml min-1 1.73 m-2, respectively. The Chronic Kidney Disease Epidemiology Collaboration formula had smaller bias and greater accuracy than the Modification of Diet in Renal Disease and Cockcroft-Gault formulas overall, for participants both with and without diabetes. However, for estimated glomerular filtration rate > 90 ml min-1 1.73 m-2, the Chronic Kidney Disease Epidemiology Collaboration formula had greater bias in participants with diabetes, underestimating measured glomerular filtration rate by 7.4 vs. 1.0 ml min-1 1.73 m-2 in those without diabetes. The Chronic Kidney Disease Epidemiology Collaboration formula was less accurate across the whole range of estimated glomerular filtration rates in participants with vs. those without diabetes (87.1% vs. 93.3%). Conclusions: The Chronic Kidney Disease Epidemiology Collaboration formula outperforms the Modification of Diet in Renal Disease and Cockcroft-Gault formulas overall in Indigenous Australians with and without diabetes. However, the Chronic Kidney Disease Epidemiology Collaboration formula has greater bias in people with diabetes compared with those without diabetes, especially in those with normal renal function.

Original languageEnglish
Pages (from-to)829-838
Number of pages10
JournalDiabetic Medicine
Volume31
Issue number7
DOIs
Publication statusPublished - 1 Jul 2014

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