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


Journal

Clinical nutrition (Edinburgh, Scotland)
ISSN: 1532-1983
Titre abrégé: Clin Nutr
Pays: England
ID NLM: 8309603

Informations de publication

Date de publication:
08 2019
Historique:
received: 19 12 2017
revised: 05 07 2018
accepted: 24 07 2018
pubmed: 19 8 2018
medline: 4 9 2020
entrez: 19 8 2018
Statut: ppublish

Résumé

To date, the accuracy of bio-impedance (BIA) to assess body composition & sarcopenia in persons aged 80 and over remains unclear. 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. 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. 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 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.

Sections du résumé

BACKGROUND
To date, the accuracy of bio-impedance (BIA) to assess body composition & sarcopenia in persons aged 80 and over remains unclear.
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.
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.
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
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.

Identifiants

pubmed: 30119982
pii: S0261-5614(18)31240-8
doi: 10.1016/j.clnu.2018.07.029
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1756-1764

Investigateurs

Ivan Bautmans (I)
Dominque Verté (D)
Ingo Beyer (I)
Mirko Petrovic (M)
Liesbeth De Donder (L)
Tinie Kardol (T)
Gina Rossi (G)
Peter Clarys (P)
Aldo Scafoglieri (A)
Erik Cattrysse (E)
Paul de Hert (P)
Bart Jansen (B)

Informations de copyright

Copyright © 2018 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

Auteurs

S Vermeiren (S)

Gerontology Department and Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090, Brussels, Belgium; Frailty in Ageing (FRIA) Research Department, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090, Brussels, Belgium.

D Beckwée (D)

Gerontology Department and Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090, Brussels, Belgium; Frailty in Ageing (FRIA) Research Department, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090, Brussels, Belgium; Rehabilitation Sciences Research Department (RERE), Vrije Universiteit Brussel, Laarbeeklaan 103, B-1090, Brussels, Belgium.

R Vella-Azzopardi (R)

Gerontology Department and Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090, Brussels, Belgium; Frailty in Ageing (FRIA) Research Department, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090, Brussels, Belgium; Geriatrics Department, Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, B-1090 Brussels, Belgium.

I Beyer (I)

Gerontology Department and Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090, Brussels, Belgium; Frailty in Ageing (FRIA) Research Department, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090, Brussels, Belgium; Geriatrics Department, Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, B-1090 Brussels, Belgium.

V Knoop (V)

Gerontology Department and Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090, Brussels, Belgium; Frailty in Ageing (FRIA) Research Department, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090, Brussels, Belgium.

B Jansen (B)

Department of Electronics and Informatics ETRO, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Elsene, Belgium; IMEC Brussel, Vrije Universiteit Brussel (VUB), Pleinlaan 9, 1050 Elsene, Belgium.

A Delaere (A)

Gerontology Department and Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090, Brussels, Belgium; Frailty in Ageing (FRIA) Research Department, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090, Brussels, Belgium.

A Antoine (A)

Gerontology Department and Frailty in Ageing (FRIA) Research Department, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels, Belgium.

I Bautmans (I)

Gerontology Department and Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090, Brussels, Belgium; Frailty in Ageing (FRIA) Research Department, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090, Brussels, Belgium; Geriatrics Department, Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, B-1090 Brussels, Belgium. Electronic address: ivan.bautmans@vub.be.

A Scafoglieri (A)

Frailty in Ageing (FRIA) Research Department, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090, Brussels, Belgium; Experimental Anatomy (EXAN), Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels, Belgium.

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