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Prediction of Loss of Muscle Mass in Sarcopenia Using Ultrasonic Diaphragm Excursion

BACKGROUND: The diagnosis of sarcopenia is based on the mass and function of appendicular skeletal muscle. It is not clear whether diaphragm excursion is related to muscle mass loss. We try to fill the gap by measuring ultrasonic diaphragm excursion during quiet breathing (Dq) and forced deep breath...

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Autores principales: Zeng, Bin, He, Shaochong, Lu, Hao, Liang, Guiyin, Ben, Xiaosong, Zhong, Wenzhao, Zhang, Mingsheng, Wang, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8668300/
https://www.ncbi.nlm.nih.gov/pubmed/34949970
http://dx.doi.org/10.1155/2021/4754705
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author Zeng, Bin
He, Shaochong
Lu, Hao
Liang, Guiyin
Ben, Xiaosong
Zhong, Wenzhao
Zhang, Mingsheng
Wang, Hao
author_facet Zeng, Bin
He, Shaochong
Lu, Hao
Liang, Guiyin
Ben, Xiaosong
Zhong, Wenzhao
Zhang, Mingsheng
Wang, Hao
author_sort Zeng, Bin
collection PubMed
description BACKGROUND: The diagnosis of sarcopenia is based on the mass and function of appendicular skeletal muscle. It is not clear whether diaphragm excursion is related to muscle mass loss. We try to fill the gap by measuring ultrasonic diaphragm excursion during quiet breathing (Dq) and forced deep breathing (Df) and test whether they could predict the muscle mass loss in sarcopenia. METHODS: The subjects are recruited from the elderly patients diagnosed with pulmonary nodules in community physical examination. According to the definition, the subjects were divided into group A (who did not meet the diagnostic criteria for muscle mass loss in sarcopenia) and group B (who met the criteria). Participants were assessed for ultrasonic diaphragm excursion, pulmonary function, and cardiopulmonary exercise testing. Logistic regression was used to assess the correlation between right diaphragm excursion and skeletal muscle mass, and receiver-operating characteristic curve (ROC) was applied to determine the best threshold. RESULTS: We recruited 64 elderly participants: 52 in group A (39 males) and 12 in group B (8 males). The Df in group A were higher than in group B (6.02 (5.44–6.60) vs. 4.31 (3.53–5.09) cm, P=0.008). The difference also exists in FVC, FEV1.0, PEF, Pimax, WRmax, and VO(2)max, but neither in Dq. Logical regression showed that Df was negatively related to muscle mass (B = −0.525, OR = 0.591 (0.378–0.926), P=0.022), even after adjusted age. Based on ROC, a cutoff value of 5.27 cm (AUC = 0.7783, P=0.0028) was selected, and Df ≤ 5.27 cm indicates the increase in odds of existing muscle mass loss. CONCLUSION: Ultrasonic diaphragm excursion in forced deep breath is helpful for predicting muscle mass loss in sarcopenia. The trial is registered with ChiCTR1800019742.
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spelling pubmed-86683002021-12-22 Prediction of Loss of Muscle Mass in Sarcopenia Using Ultrasonic Diaphragm Excursion Zeng, Bin He, Shaochong Lu, Hao Liang, Guiyin Ben, Xiaosong Zhong, Wenzhao Zhang, Mingsheng Wang, Hao Contrast Media Mol Imaging Research Article BACKGROUND: The diagnosis of sarcopenia is based on the mass and function of appendicular skeletal muscle. It is not clear whether diaphragm excursion is related to muscle mass loss. We try to fill the gap by measuring ultrasonic diaphragm excursion during quiet breathing (Dq) and forced deep breathing (Df) and test whether they could predict the muscle mass loss in sarcopenia. METHODS: The subjects are recruited from the elderly patients diagnosed with pulmonary nodules in community physical examination. According to the definition, the subjects were divided into group A (who did not meet the diagnostic criteria for muscle mass loss in sarcopenia) and group B (who met the criteria). Participants were assessed for ultrasonic diaphragm excursion, pulmonary function, and cardiopulmonary exercise testing. Logistic regression was used to assess the correlation between right diaphragm excursion and skeletal muscle mass, and receiver-operating characteristic curve (ROC) was applied to determine the best threshold. RESULTS: We recruited 64 elderly participants: 52 in group A (39 males) and 12 in group B (8 males). The Df in group A were higher than in group B (6.02 (5.44–6.60) vs. 4.31 (3.53–5.09) cm, P=0.008). The difference also exists in FVC, FEV1.0, PEF, Pimax, WRmax, and VO(2)max, but neither in Dq. Logical regression showed that Df was negatively related to muscle mass (B = −0.525, OR = 0.591 (0.378–0.926), P=0.022), even after adjusted age. Based on ROC, a cutoff value of 5.27 cm (AUC = 0.7783, P=0.0028) was selected, and Df ≤ 5.27 cm indicates the increase in odds of existing muscle mass loss. CONCLUSION: Ultrasonic diaphragm excursion in forced deep breath is helpful for predicting muscle mass loss in sarcopenia. The trial is registered with ChiCTR1800019742. Hindawi 2021-12-06 /pmc/articles/PMC8668300/ /pubmed/34949970 http://dx.doi.org/10.1155/2021/4754705 Text en Copyright © 2021 Bin Zeng et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zeng, Bin
He, Shaochong
Lu, Hao
Liang, Guiyin
Ben, Xiaosong
Zhong, Wenzhao
Zhang, Mingsheng
Wang, Hao
Prediction of Loss of Muscle Mass in Sarcopenia Using Ultrasonic Diaphragm Excursion
title Prediction of Loss of Muscle Mass in Sarcopenia Using Ultrasonic Diaphragm Excursion
title_full Prediction of Loss of Muscle Mass in Sarcopenia Using Ultrasonic Diaphragm Excursion
title_fullStr Prediction of Loss of Muscle Mass in Sarcopenia Using Ultrasonic Diaphragm Excursion
title_full_unstemmed Prediction of Loss of Muscle Mass in Sarcopenia Using Ultrasonic Diaphragm Excursion
title_short Prediction of Loss of Muscle Mass in Sarcopenia Using Ultrasonic Diaphragm Excursion
title_sort prediction of loss of muscle mass in sarcopenia using ultrasonic diaphragm excursion
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8668300/
https://www.ncbi.nlm.nih.gov/pubmed/34949970
http://dx.doi.org/10.1155/2021/4754705
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