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Is dynamometry able to infer the risk of muscle mass loss in patients with COPD?
INTRODUCTION: Sarcopenia is characterized by a progressive and generalized decrease of strength and muscle mass. Muscle mass loss is prevalent in patients with chronic obstructive pulmonary disease (COPD) as a result of both the disease and aging. Some methods have been proposed to assess body compo...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4516177/ https://www.ncbi.nlm.nih.gov/pubmed/26229459 http://dx.doi.org/10.2147/COPD.S69829 |
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author | Ramos, Dionei Bertolini, Giovana Navarro Leite, Marceli Rocha Carvalho Junior, Luiz Carlos Soares da Silva Pestana, Paula Roberta dos Santos, Vanessa Ribeiro Fortaleza, Ana Claudia de Souza Rodrigues, Fernanda Maria Machado Ramos, Ercy Mara Cipulo |
author_facet | Ramos, Dionei Bertolini, Giovana Navarro Leite, Marceli Rocha Carvalho Junior, Luiz Carlos Soares da Silva Pestana, Paula Roberta dos Santos, Vanessa Ribeiro Fortaleza, Ana Claudia de Souza Rodrigues, Fernanda Maria Machado Ramos, Ercy Mara Cipulo |
author_sort | Ramos, Dionei |
collection | PubMed |
description | INTRODUCTION: Sarcopenia is characterized by a progressive and generalized decrease of strength and muscle mass. Muscle mass loss is prevalent in patients with chronic obstructive pulmonary disease (COPD) as a result of both the disease and aging. Some methods have been proposed to assess body composition (and therefore identify muscle mass loss) in this population. Despite the high accuracy of some methods, they require sophisticated and costly equipment. AIM: The purpose of this study was to infer the occurrence of muscle mass loss measured by a sophisticated method (dual energy X-ray absorptiometry [DEXA]) using a more simple and affordable equipment (dynamometer). METHODS: Fifty-seven stable subjects with COPD were evaluated for anthropometric characteristics, lung function, functional exercise capacity, body composition, and peripheral muscle strength. A binary logistic regression model verified whether knee-extension strength (measured by dynamometry) could infer muscle mass loss (from DEXA). RESULTS: Patients with decreased knee-extension strength were 5.93 times more likely to have muscle mass loss, regardless of sex, disease stage, and functional exercise capacity (P=0.045). CONCLUSION: Knee-extension dynamometry was able to infer muscle mass loss in patients with COPD. |
format | Online Article Text |
id | pubmed-4516177 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-45161772015-07-30 Is dynamometry able to infer the risk of muscle mass loss in patients with COPD? Ramos, Dionei Bertolini, Giovana Navarro Leite, Marceli Rocha Carvalho Junior, Luiz Carlos Soares da Silva Pestana, Paula Roberta dos Santos, Vanessa Ribeiro Fortaleza, Ana Claudia de Souza Rodrigues, Fernanda Maria Machado Ramos, Ercy Mara Cipulo Int J Chron Obstruct Pulmon Dis Original Research INTRODUCTION: Sarcopenia is characterized by a progressive and generalized decrease of strength and muscle mass. Muscle mass loss is prevalent in patients with chronic obstructive pulmonary disease (COPD) as a result of both the disease and aging. Some methods have been proposed to assess body composition (and therefore identify muscle mass loss) in this population. Despite the high accuracy of some methods, they require sophisticated and costly equipment. AIM: The purpose of this study was to infer the occurrence of muscle mass loss measured by a sophisticated method (dual energy X-ray absorptiometry [DEXA]) using a more simple and affordable equipment (dynamometer). METHODS: Fifty-seven stable subjects with COPD were evaluated for anthropometric characteristics, lung function, functional exercise capacity, body composition, and peripheral muscle strength. A binary logistic regression model verified whether knee-extension strength (measured by dynamometry) could infer muscle mass loss (from DEXA). RESULTS: Patients with decreased knee-extension strength were 5.93 times more likely to have muscle mass loss, regardless of sex, disease stage, and functional exercise capacity (P=0.045). CONCLUSION: Knee-extension dynamometry was able to infer muscle mass loss in patients with COPD. Dove Medical Press 2015-07-21 /pmc/articles/PMC4516177/ /pubmed/26229459 http://dx.doi.org/10.2147/COPD.S69829 Text en © 2015 Ramos et al. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Original Research Ramos, Dionei Bertolini, Giovana Navarro Leite, Marceli Rocha Carvalho Junior, Luiz Carlos Soares da Silva Pestana, Paula Roberta dos Santos, Vanessa Ribeiro Fortaleza, Ana Claudia de Souza Rodrigues, Fernanda Maria Machado Ramos, Ercy Mara Cipulo Is dynamometry able to infer the risk of muscle mass loss in patients with COPD? |
title | Is dynamometry able to infer the risk of muscle mass loss in patients with COPD? |
title_full | Is dynamometry able to infer the risk of muscle mass loss in patients with COPD? |
title_fullStr | Is dynamometry able to infer the risk of muscle mass loss in patients with COPD? |
title_full_unstemmed | Is dynamometry able to infer the risk of muscle mass loss in patients with COPD? |
title_short | Is dynamometry able to infer the risk of muscle mass loss in patients with COPD? |
title_sort | is dynamometry able to infer the risk of muscle mass loss in patients with copd? |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4516177/ https://www.ncbi.nlm.nih.gov/pubmed/26229459 http://dx.doi.org/10.2147/COPD.S69829 |
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