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Non-Invasive Biomarkers of Musculoskeletal Health with High Discriminant Ability for Age and Gender

A novel approach to ageing studies assessed the discriminatory ability of a combination of routine physical function tests and novel measures, notably muscle mechanical properties and thigh composition (ultrasound imaging) to classify healthy individuals according to age and gender. The cross-sectio...

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Autores principales: Agyapong-Badu, Sandra, Warner, Martin B., Samuel, Dinesh, Koutra, Vasiliki, Stokes, Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036700/
https://www.ncbi.nlm.nih.gov/pubmed/33805889
http://dx.doi.org/10.3390/jcm10071352
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author Agyapong-Badu, Sandra
Warner, Martin B.
Samuel, Dinesh
Koutra, Vasiliki
Stokes, Maria
author_facet Agyapong-Badu, Sandra
Warner, Martin B.
Samuel, Dinesh
Koutra, Vasiliki
Stokes, Maria
author_sort Agyapong-Badu, Sandra
collection PubMed
description A novel approach to ageing studies assessed the discriminatory ability of a combination of routine physical function tests and novel measures, notably muscle mechanical properties and thigh composition (ultrasound imaging) to classify healthy individuals according to age and gender. The cross-sectional study included 138 community-dwelling, self-reported healthy males and females (65 young, mean age ± SD = 25.7 ± 4.8 years; 73 older, 74.9 ± 5.9 years). Handgrip strength; quadriceps strength; respiratory peak flow; timed up and go; stair climbing time; anterior thigh tissue thickness; muscle stiffness, tone, elasticity (Myoton technology), and self-reported health related quality of life (SF36) were assessed. Stepwise feature selection using cross-validation with linear discriminant analysis was used to classify cases based on criterion variable derived from known effects of age on physical function. A model was trained and features selected using 126 cases with 0.92 accuracy (95% CI = 0.86–0.96; Kappa = 0.89). The final model included five features (peak flow, timed up and go, biceps brachii elasticity, anterior thigh muscle thickness, and percentage thigh muscle) with high sensitivity (0.82–0.96) and specificity (0.94–0.99). The most sensitive novel biomarkers require no volition, highlighting potentially useful tests for screening and monitoring effects of interventions on musculoskeletal health for vulnerable older people with pain or cognitive impairment.
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spelling pubmed-80367002021-04-12 Non-Invasive Biomarkers of Musculoskeletal Health with High Discriminant Ability for Age and Gender Agyapong-Badu, Sandra Warner, Martin B. Samuel, Dinesh Koutra, Vasiliki Stokes, Maria J Clin Med Article A novel approach to ageing studies assessed the discriminatory ability of a combination of routine physical function tests and novel measures, notably muscle mechanical properties and thigh composition (ultrasound imaging) to classify healthy individuals according to age and gender. The cross-sectional study included 138 community-dwelling, self-reported healthy males and females (65 young, mean age ± SD = 25.7 ± 4.8 years; 73 older, 74.9 ± 5.9 years). Handgrip strength; quadriceps strength; respiratory peak flow; timed up and go; stair climbing time; anterior thigh tissue thickness; muscle stiffness, tone, elasticity (Myoton technology), and self-reported health related quality of life (SF36) were assessed. Stepwise feature selection using cross-validation with linear discriminant analysis was used to classify cases based on criterion variable derived from known effects of age on physical function. A model was trained and features selected using 126 cases with 0.92 accuracy (95% CI = 0.86–0.96; Kappa = 0.89). The final model included five features (peak flow, timed up and go, biceps brachii elasticity, anterior thigh muscle thickness, and percentage thigh muscle) with high sensitivity (0.82–0.96) and specificity (0.94–0.99). The most sensitive novel biomarkers require no volition, highlighting potentially useful tests for screening and monitoring effects of interventions on musculoskeletal health for vulnerable older people with pain or cognitive impairment. MDPI 2021-03-25 /pmc/articles/PMC8036700/ /pubmed/33805889 http://dx.doi.org/10.3390/jcm10071352 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Agyapong-Badu, Sandra
Warner, Martin B.
Samuel, Dinesh
Koutra, Vasiliki
Stokes, Maria
Non-Invasive Biomarkers of Musculoskeletal Health with High Discriminant Ability for Age and Gender
title Non-Invasive Biomarkers of Musculoskeletal Health with High Discriminant Ability for Age and Gender
title_full Non-Invasive Biomarkers of Musculoskeletal Health with High Discriminant Ability for Age and Gender
title_fullStr Non-Invasive Biomarkers of Musculoskeletal Health with High Discriminant Ability for Age and Gender
title_full_unstemmed Non-Invasive Biomarkers of Musculoskeletal Health with High Discriminant Ability for Age and Gender
title_short Non-Invasive Biomarkers of Musculoskeletal Health with High Discriminant Ability for Age and Gender
title_sort non-invasive biomarkers of musculoskeletal health with high discriminant ability for age and gender
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036700/
https://www.ncbi.nlm.nih.gov/pubmed/33805889
http://dx.doi.org/10.3390/jcm10071352
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