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Evaluation of appendicular lean mass using bio impedance in persons aged 80+ : A new equation based on the BUTTERFLY-study. / Vermeiren, S; Beckwée, D; Vella-Azzopardi, R; Beyer, I; Knoop, V; Jansen, B; Delaere, A; Antoine, A; Bautmans, I; Scafoglieri, A; Gerontopole Brussels Study group.

In: Clinical Nutrition, Vol. 38, No. 4, 08.2019, p. 1756-1764.

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@article{d9f2e1f96fbe44aeacfb810f032a30da,
title = "Evaluation of appendicular lean mass using bio impedance in persons aged 80+: A new equation based on the BUTTERFLY-study",
abstract = "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); R2 = 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).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.",
keywords = "Aged 80 and over, Bioelectrical impedance analysis, Body composition, Dual X-ray absorptiometry, Sarcopenia",
author = "S Vermeiren and D Beckw{\'e}e and R Vella-Azzopardi and I Beyer and V Knoop and B Jansen and A Delaere and A Antoine and I Bautmans and A Scafoglieri and {Gerontopole Brussels Study group}",
note = "Copyright {\circledC} 2018 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.",
year = "2019",
month = "8",
doi = "10.1016/j.clnu.2018.07.029",
language = "English",
volume = "38",
pages = "1756--1764",
journal = "Clinical Nutrition",
issn = "0261-5614",
publisher = "Churchill Livingstone",
number = "4",

}

RIS

TY - JOUR

T1 - Evaluation of appendicular lean mass using bio impedance in persons aged 80+

T2 - A new equation based on the BUTTERFLY-study

AU - Vermeiren, S

AU - Beckwée, D

AU - Vella-Azzopardi, R

AU - Beyer, I

AU - Knoop, V

AU - Jansen, B

AU - Delaere, A

AU - Antoine, A

AU - Bautmans, I

AU - Scafoglieri, A

AU - Gerontopole Brussels Study group

N1 - Copyright © 2018 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

PY - 2019/8

Y1 - 2019/8

N2 - 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); R2 = 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).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.

AB - 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); R2 = 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).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.

KW - Aged 80 and over

KW - Bioelectrical impedance analysis

KW - Body composition

KW - Dual X-ray absorptiometry

KW - Sarcopenia

UR - http://www.scopus.com/inward/record.url?scp=85051507050&partnerID=8YFLogxK

U2 - 10.1016/j.clnu.2018.07.029

DO - 10.1016/j.clnu.2018.07.029

M3 - Article

VL - 38

SP - 1756

EP - 1764

JO - Clinical Nutrition

JF - Clinical Nutrition

SN - 0261-5614

IS - 4

ER -

ID: 39212592