Differences in estimation of creatinine generation between renal function estimating equations in an Indian population: cross-sectional data from the Hyderabad arm of the Indian migration study.


Bailey, PK; Tomson, CR; Kinra, S; Ebrahim, S; Radhakrishna, K; Kuper, H; Nitsch, D; Ben-Shlomo, Y; (2013) Differences in estimation of creatinine generation between renal function estimating equations in an Indian population: cross-sectional data from the Hyderabad arm of the Indian migration study. BMC Nephrol, 14 (1). p. 30. ISSN 1471-2369 DOI: https://doi.org/10.1186/1471-2369-14-30

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Abstract

ABSTRACT: BACKGROUND: Creatinine based formulae for estimating renal function developed in white populations may be less valid in other ethnic groups. We assessed the performance of various estimating formulae in an Indian population. METHODS: 917 subjects were recruited from the Hyderabad arm of the Indian Migration Study. Data were collected on comorbidity, serum creatinine and body composition from DXA scans. Renal function was compared using the modified Cockcroft-Gault, MDRD and CKD-EPI formulae. 24-hour creatinine production was derived from each estimate and the agreement with measured muscle mass examined. 24-hour creatinine production estimates were compared to that derived from a formula by Rule incorporating DXA measured muscle mass. Potential systematic biases were examined by age and eGFR. We assessed the association of renal function by each formula with hypertension and self-reported measures of vascular disease. RESULTS: Mean modified Cockcroft-Gault eCCl was 98.8 ml/min/1.73 m2, MDRD eGFR 91.2 ml/min/1.73 m2 and CKD-EPI eGFR 96.3 ml/min/1.73 m2. MDRD derived 24-hour creatinine production showed the least age-related underestimation compared to the Rule formula. CKD-EPI showed a marked bias at higher eGFRs. All formulae showed similar strength associations with vascular disease and hypertension. CONCLUSIONS: Our analyses support the use of MDRD for estimating renal function in Indian populations. Further work is required to assess the predictive value of formulae for incident disease and complications of CKD.

Item Type: Article
Faculty and Department: Faculty of Infectious and Tropical Diseases > Dept of Clinical Research
Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology
Research Centre: The International Centre for Evidence in Disability
Centre for Global Non-Communicable Diseases (NCDs)
PubMed ID: 23379609
Web of Science ID: 317069100001
URI: http://researchonline.lshtm.ac.uk/id/eprint/613564

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