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NDT Advance Access originally published online on August 22, 2005
Nephrology Dialysis Transplantation 2006 21(1):84-87; doi:10.1093/ndt/gfi102
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© The Author [2005]. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Original Articles: Clinical Nephrology

Glomerular filtration rate can be accurately predicted using lean mass measured by dual-energy X-ray absorptiometry

Timothy P. Taylor1, Wei Wang2, M. Zakarea Shrayyef3, DeAnna Cheek4, Florence N. Hutchison5 and Crystal A. Gadegbeku6

1 Department of Medicine, Medical University of South Carolina, Charleston, SC, 2 Department of Biostatistics, Epidemiology and Bioinformatics, Medical University of South Carolina, Charleston, SC, 3 Unity Health System, Affiliate University of Rochester, Rochester, NY, 4 Department of Pediatrics, Medical University of South Carolina, Charleston, SC, 5 Ralph H. Johnson, VAMC, Charleston, SC and 6 Department of Internal Medicine, University of Michigan, Ann Arbor, MI

Correspondence and offprint requests to: Crystal A. Gadegbeku, University of Michigan, 102 Observatory Road, Simpson Building, Ann Arbor, MI 48109, USA. Email: cgadegbe{at}med.umich.edu

Background. Accurate assessment of renal function is important in the management of patients with kidney disease yet is often difficult to obtain. Formulae, designed for clinical use, have been developed to predict glomerular filtration rate (GFR) utilizing serum creatinine (Scr). Additional parameters are included in these formulae to account for variations in Scr due to differences in total body lean mass in kg (LM). Therefore, the purpose of this study was to derive a simple formula to predict GFR based on Scr and direct quantification of LM.

Methods. Ten subjects with a wide range of renal function had GFRs determined by [125I]iothalamate clearance and LM determined by dual-energy X-ray absorptiometry as well as fasting measurements of Scr, serum and 24 h urine urea nitrogen, and albumin.

Results. The following formula was derived using LM (kg) and Scr (mg/dl): predicted GFR = (2.4 x LM) – (0.75 x LM x Scr). The correlation coefficient for this formula was 0.97, when compared with [125I]iothalamate clearances, and similar to the MDRD formulae (R = 0.87–0.95).

Conclusion. Although further validation is necessary, these findings suggest that total body non-invasive measurement of LM along with Scr can be used to accurately predict GFR.

Keywords: body composition; glomerular filtration rate; kidney disease; lean mass


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