Comparison of diagnostic significance of the initial versus revised diagnostic algorithm for sarcopenia from the Asian Working Group for Sarcopenia.
AWGS
Diagnosis
Handgrip strength
Physical performance
Sarcopenia
Skeletal muscle mass
Journal
Archives of gerontology and geriatrics
ISSN: 1872-6976
Titre abrégé: Arch Gerontol Geriatr
Pays: Netherlands
ID NLM: 8214379
Informations de publication
Date de publication:
Historique:
received:
10
02
2020
revised:
01
04
2020
accepted:
06
04
2020
pubmed:
4
5
2020
medline:
5
11
2020
entrez:
4
5
2020
Statut:
ppublish
Résumé
Sarcopenia in older adults is a risk factor for age-related morbidity and mortality. This study aimed to clarify the diagnostic significance of the revised diagnostic algorithm for sarcopenia from Asian Working Group for Sarcopenia by comparing physical and clinical characteristics of individuals diagnosed with sarcopenia by the initial and revised algorithms. Study participants were 2061 older community residents. Skeletal muscle mass was measured by bioimpedance analysis. Handgrip strength and physical function required for the diagnosis of sarcopenia were measured by conventional methods. Carotid intima-media thickness was used as a marker of atherosclerosis in a large artery. Using the initial algorithm, 60 of the participants were diagnosed with sarcopenia, but based on the revised algorithm, 89 had sarcopenia and 21 severe sarcopenia. The higher frequency of sarcopenia was attributed to changes in the cut-off values for slow gait speed and the addition of the 5-time chair-stand test as part of the assessment of physical performance. Physical characteristics of individuals diagnosed with sarcopenia by either algorithm did not differ markedly, but those with severe sarcopenia had significantly poorer physical performance even with a muscle mass similar to those with sarcopenia. There was a linear correlation between the severity of sarcopenia and carotid intima-media thickness (no sarcopenia: 0.94 ± 0.31, sarcopenia: 1.04 ± 0.41, and severe sarcopenia: 1.07 ± 0.55 mm, P = 0.003). The revised diagnostic algorithm was superior to the initial version at identifying individuals with sarcopenia and severe sarcopenia with a worse cardiovascular profile.
Sections du résumé
BACKGROUNDS
Sarcopenia in older adults is a risk factor for age-related morbidity and mortality. This study aimed to clarify the diagnostic significance of the revised diagnostic algorithm for sarcopenia from Asian Working Group for Sarcopenia by comparing physical and clinical characteristics of individuals diagnosed with sarcopenia by the initial and revised algorithms.
METHODS
Study participants were 2061 older community residents. Skeletal muscle mass was measured by bioimpedance analysis. Handgrip strength and physical function required for the diagnosis of sarcopenia were measured by conventional methods. Carotid intima-media thickness was used as a marker of atherosclerosis in a large artery.
RESULTS
Using the initial algorithm, 60 of the participants were diagnosed with sarcopenia, but based on the revised algorithm, 89 had sarcopenia and 21 severe sarcopenia. The higher frequency of sarcopenia was attributed to changes in the cut-off values for slow gait speed and the addition of the 5-time chair-stand test as part of the assessment of physical performance. Physical characteristics of individuals diagnosed with sarcopenia by either algorithm did not differ markedly, but those with severe sarcopenia had significantly poorer physical performance even with a muscle mass similar to those with sarcopenia. There was a linear correlation between the severity of sarcopenia and carotid intima-media thickness (no sarcopenia: 0.94 ± 0.31, sarcopenia: 1.04 ± 0.41, and severe sarcopenia: 1.07 ± 0.55 mm, P = 0.003).
CONCLUSION
The revised diagnostic algorithm was superior to the initial version at identifying individuals with sarcopenia and severe sarcopenia with a worse cardiovascular profile.
Identifiants
pubmed: 32361225
pii: S0167-4943(20)30065-0
doi: 10.1016/j.archger.2020.104071
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
104071Informations de copyright
Copyright © 2020 Elsevier B.V. All rights reserved.