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Published in: BMC Nephrology 1/2013

Open Access 01-12-2013 | Research article

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

Authors: Phillippa K Bailey, Charles RV Tomson, Sanjay Kinra, Shah Ebrahim, KV Radhakrishna, Hannah Kuper, Dorothea Nitsch, Yoav Ben-Shlomo

Published in: BMC Nephrology | Issue 1/2013

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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.
Appendix
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Metadata
Title
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
Authors
Phillippa K Bailey
Charles RV Tomson
Sanjay Kinra
Shah Ebrahim
KV Radhakrishna
Hannah Kuper
Dorothea Nitsch
Yoav Ben-Shlomo
Publication date
01-12-2013
Publisher
BioMed Central
Published in
BMC Nephrology / Issue 1/2013
Electronic ISSN: 1471-2369
DOI
https://doi.org/10.1186/1471-2369-14-30

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