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Usefulness of muscle ultrasound in appendicular skeletal muscle mass estimation for sarcopenia assessment

The measurement of skeletal muscle mass is essential for the diagnosis of sarcopenia. Muscle ultrasonography has emerged as a useful tool for evaluating sarcopenia because it can be used to assess muscle quality and quantity. This study investigated whether muscle ultrasonography is effective for es...

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Autores principales: Baek, Seol-Hee, Sung, Joo Hye, Park, Jin-Woo, Son, Myeong Hun, Lee, Jung Hun, Kim, Byung-Jo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844922/
https://www.ncbi.nlm.nih.gov/pubmed/36649288
http://dx.doi.org/10.1371/journal.pone.0280202
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author Baek, Seol-Hee
Sung, Joo Hye
Park, Jin-Woo
Son, Myeong Hun
Lee, Jung Hun
Kim, Byung-Jo
author_facet Baek, Seol-Hee
Sung, Joo Hye
Park, Jin-Woo
Son, Myeong Hun
Lee, Jung Hun
Kim, Byung-Jo
author_sort Baek, Seol-Hee
collection PubMed
description The measurement of skeletal muscle mass is essential for the diagnosis of sarcopenia. Muscle ultrasonography has emerged as a useful tool for evaluating sarcopenia because it can be used to assess muscle quality and quantity. This study investigated whether muscle ultrasonography is effective for estimating appendicular skeletal muscle mass (ASM) and screening for sarcopenia. This study prospectively enrolled 212 healthy volunteers aged 40–80 years. ASM was measured using the bioelectrical impedance analysis. Muscle thickness (MT) and echo-intensity (EI) were measured in four muscles (biceps brachii, BB; triceps brachii, TB; rectus femoris, RF; biceps femoris, BF) on the dominant hand. A hold-out cross-validation method was used to develop and validate the ASM prediction equation. In the model development group, the ASM prediction equations were deduced as follows: estimated ASM for men (kg) = 0.167 × weight (kg) + 0.228 × height (cm) + 0.143 × MT of BF (mm)– 0.822 × EI to MT ratio of BB– 28.187 (R(2) = 0.830) and estimated ASM for women (kg) = 0.115 × weight + 0.215 × height (cm) + 0.139 × MT of RF–0.638 × EI to MT ratio of BB– 23.502 (R(2) = 0.859). In the cross-validation group, the estimated ASM did not significantly differ from the measured ASM in both men (p = 0.775; intraclass correlation coefficient [ICC] = 0.948) and women (p = 0.516; ICC = 0.973). In addition, multiple logistic regression analysis revealed that the ratios of EI to MT in the BF and RF muscles in men and MT in the BB muscle in women could be valuable parameters for sarcopenia screening. Therefore, our study suggests that muscle ultrasound could be an effective tool for estimating ASM and screening sarcopenia.
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spelling pubmed-98449222023-01-18 Usefulness of muscle ultrasound in appendicular skeletal muscle mass estimation for sarcopenia assessment Baek, Seol-Hee Sung, Joo Hye Park, Jin-Woo Son, Myeong Hun Lee, Jung Hun Kim, Byung-Jo PLoS One Research Article The measurement of skeletal muscle mass is essential for the diagnosis of sarcopenia. Muscle ultrasonography has emerged as a useful tool for evaluating sarcopenia because it can be used to assess muscle quality and quantity. This study investigated whether muscle ultrasonography is effective for estimating appendicular skeletal muscle mass (ASM) and screening for sarcopenia. This study prospectively enrolled 212 healthy volunteers aged 40–80 years. ASM was measured using the bioelectrical impedance analysis. Muscle thickness (MT) and echo-intensity (EI) were measured in four muscles (biceps brachii, BB; triceps brachii, TB; rectus femoris, RF; biceps femoris, BF) on the dominant hand. A hold-out cross-validation method was used to develop and validate the ASM prediction equation. In the model development group, the ASM prediction equations were deduced as follows: estimated ASM for men (kg) = 0.167 × weight (kg) + 0.228 × height (cm) + 0.143 × MT of BF (mm)– 0.822 × EI to MT ratio of BB– 28.187 (R(2) = 0.830) and estimated ASM for women (kg) = 0.115 × weight + 0.215 × height (cm) + 0.139 × MT of RF–0.638 × EI to MT ratio of BB– 23.502 (R(2) = 0.859). In the cross-validation group, the estimated ASM did not significantly differ from the measured ASM in both men (p = 0.775; intraclass correlation coefficient [ICC] = 0.948) and women (p = 0.516; ICC = 0.973). In addition, multiple logistic regression analysis revealed that the ratios of EI to MT in the BF and RF muscles in men and MT in the BB muscle in women could be valuable parameters for sarcopenia screening. Therefore, our study suggests that muscle ultrasound could be an effective tool for estimating ASM and screening sarcopenia. Public Library of Science 2023-01-17 /pmc/articles/PMC9844922/ /pubmed/36649288 http://dx.doi.org/10.1371/journal.pone.0280202 Text en © 2023 Baek et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Baek, Seol-Hee
Sung, Joo Hye
Park, Jin-Woo
Son, Myeong Hun
Lee, Jung Hun
Kim, Byung-Jo
Usefulness of muscle ultrasound in appendicular skeletal muscle mass estimation for sarcopenia assessment
title Usefulness of muscle ultrasound in appendicular skeletal muscle mass estimation for sarcopenia assessment
title_full Usefulness of muscle ultrasound in appendicular skeletal muscle mass estimation for sarcopenia assessment
title_fullStr Usefulness of muscle ultrasound in appendicular skeletal muscle mass estimation for sarcopenia assessment
title_full_unstemmed Usefulness of muscle ultrasound in appendicular skeletal muscle mass estimation for sarcopenia assessment
title_short Usefulness of muscle ultrasound in appendicular skeletal muscle mass estimation for sarcopenia assessment
title_sort usefulness of muscle ultrasound in appendicular skeletal muscle mass estimation for sarcopenia assessment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844922/
https://www.ncbi.nlm.nih.gov/pubmed/36649288
http://dx.doi.org/10.1371/journal.pone.0280202
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