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Evaluation of appendicular lean mass using bio impedance in persons aged 80+: A new equation based on the BUTTERFLY-study.

Authors :
Vermeiren S
Beckwée D
Vella-Azzopardi R
Beyer I
Knoop V
Jansen B
Delaere A
Antoine A
Bautmans I
Scafoglieri A
Source :
Clinical nutrition (Edinburgh, Scotland) [Clin Nutr] 2019 Aug; Vol. 38 (4), pp. 1756-1764. Date of Electronic Publication: 2018 Aug 02.
Publication Year :
2019

Abstract

Background: To date, the accuracy of bio-impedance (BIA) to assess body composition & sarcopenia in persons aged 80 and over remains unclear.<br />Objective: We aimed to evaluate the agreement between dual energy X-ray absorptiometry (DXA) and BIA equations to determine lean mass, as well as their suitability to identify sarcopenia.<br />Design: 174 community dwelling well-functioning persons (83 women, 91 men) aged 80 and over were included. Appendicular lean mass (ALM) was predicted using BIA-based equations available in literature, and compared to DXA outcomes. Through cross-validation and stepwise multiple linear regression, a new ALM-formula was generated suitable for this population.<br />Results: Literature-based BIA equations systematically overestimated ALM. The new prediction formula that we propose for the 80+ is: ALM = 0,827+(0,19*Impedance Index)+(2,101*Sex)+(0,079*Weight); R <superscript>2</superscript>  = 0,888; SEE = 1,450 kg. Sarcopenia classification based on our new BIA equation for ALM showed better agreement with DXA (k ≥ 0,454) compared to literature-based BIA equations (k < 0,368).<br />Conclusions: Despite the high correlation between both methods, literature-based BIA equations consistently overestimate ALM compared to DXA in persons aged 80 and over. We proposed a new equation for ALM, reaching higher agreement with DXA and thus improving the accuracy of BIA for this specific age group.<br /> (Copyright © 2018 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.)

Details

Language :
English
ISSN :
1532-1983
Volume :
38
Issue :
4
Database :
MEDLINE
Journal :
Clinical nutrition (Edinburgh, Scotland)
Publication Type :
Academic Journal
Accession number :
30119982
Full Text :
https://doi.org/10.1016/j.clnu.2018.07.029