Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comparative Study
. 2004 Nov-Dec;48(6):409-13.
doi: 10.1159/000083573. Epub 2005 Jan 21.

Body composition in diabetic subjects with chronic kidney disease: interest of bio-impedance analysis, and anthropometry

Affiliations
Comparative Study

Body composition in diabetic subjects with chronic kidney disease: interest of bio-impedance analysis, and anthropometry

V Rigalleau et al. Ann Nutr Metab. 2004 Nov-Dec.

Abstract

Background/aims: Lean body mass (LBM) is reduced in uremia, but this has not been reported in diabetic nephropathy.

Subjects and methods: We compared predicted % LBM to DEXA measurements in 10 non-diabetic uremic, 10 non-uremic diabetic and 10 uremic diabetic subjects matched for age, gender and BMI. We also measured % LBM by anthropometry, bio-impedance analysis (BIA) and compared them with DEXA in 49 diabetic subjects with a wide range of renal failure. The results were compared and a Bland & Altman procedure was performed. Associations between glomerular filtration rate (GFR) and % LBM were tested.

Results: In matched groups, predicted % LBM values were overestimated in non-diabetic uremic subjects, and underestimated in non-uremic diabetic subjects. In uremic diabetic subjects, the error was intermediary. As compared to DEXA (% LBM: 69.0 +/- 7.1%), measurement of % LBM by anthropometry (71.4 +/- 8.0%, p < 0.05) and BIA (67.2 +/- 7.6%, p < 0.05) were biased in the 49 diabetic subjects. The mean of anthropometric and BIA (Ant+BIA) were similar to DEXA results (69.3 +/- 6.8%, p = 0.64), with best correlation coefficients and Bland & Altman plots. GFR was correlated to % LBM assessed by DEXA, BIA and Ant+BIA.

Conclusion: In diabetic subjects with chronic kidney disease, LBM should be measured, rather than predicted. A good evaluation is possible, even without DEXA.

PubMed Disclaimer

Publication types