The relationship between body composition and clinical parameters in chronic obstructive pulmonary disease

© 2016, Medical Association of Thailand. All rights reserved. Objective: Identify a correlation between body mass index (BMI) and fat-free mass index (FFMI) to clinical parameters in chronic obstructive pulmonary disease. Material and Method: The cross-sectional study was conducted at a single visit...

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Main Authors: Chaicharn Pothirat, Warawut Chaiwong, Nittaya Phetsuk, Chalerm Liwsrisakun, Chaiwat Bumroongkit, Athavudh Deesomchok, Theerakorn Theerakittikul, Atikun Limsukon
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Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/56165
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-561652018-09-05T03:09:58Z The relationship between body composition and clinical parameters in chronic obstructive pulmonary disease Chaicharn Pothirat Warawut Chaiwong Nittaya Phetsuk Chalerm Liwsrisakun Chaiwat Bumroongkit Athavudh Deesomchok Theerakorn Theerakittikul Atikun Limsukon Medicine © 2016, Medical Association of Thailand. All rights reserved. Objective: Identify a correlation between body mass index (BMI) and fat-free mass index (FFMI) to clinical parameters in chronic obstructive pulmonary disease. Material and Method: The cross-sectional study was conducted at a single visit involving stable chronic obstructive pulmonary disease (COPD) patients at the outpatient chest clinic of the Chiang Mai University Hospital, Thailand. Eligible patients were evaluated for BMI, FFMI, lung function, modified medical research council (mMRC) dyspnea score, COPD assessment test (CAT) score, and number of acute exacerbation (AE) in the past year. The correlations of FFMI and BMI with other parameters were determined using Pearson correlation coefficient analysis. Body composition was categorized into four groups, normal, semi-starvation, muscle atrophy/sarcopenia, and cachexia based on BMI and FFMI. Statistical significance was accepted at p-value <0.05. Results: One hundred twenty one stable COPD patients met study inclusion criteria. The FFMI showed a strong correlation with BMI (r = 0.792, p<0.001). The FFMI, but not BMI, was significantly correlated with mMRC, precentage of predicted forced expiratory volume in first second (FEV1), and CAT score (r = -0.315, 0.214, and -0.278, respectively). Body composition was categorized into four groups: normal body composition (n = 62, 51.2%), semi-starvation (n = 4, 3.3%), sarcopenia muscular atrophy (n = 12, 9.9%), and cachexia (n = 43, 35.5%). Conclusion: FFMI, but not BMI, was significantly correlated with dyspnea severity, lung function, and quality of life. Body composition category assignment is a useful clinical tool. 2018-09-05T03:09:58Z 2018-09-05T03:09:58Z 2016-04-01 Journal 01252208 2-s2.0-84969645887 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84969645887&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/56165
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Medicine
spellingShingle Medicine
Chaicharn Pothirat
Warawut Chaiwong
Nittaya Phetsuk
Chalerm Liwsrisakun
Chaiwat Bumroongkit
Athavudh Deesomchok
Theerakorn Theerakittikul
Atikun Limsukon
The relationship between body composition and clinical parameters in chronic obstructive pulmonary disease
description © 2016, Medical Association of Thailand. All rights reserved. Objective: Identify a correlation between body mass index (BMI) and fat-free mass index (FFMI) to clinical parameters in chronic obstructive pulmonary disease. Material and Method: The cross-sectional study was conducted at a single visit involving stable chronic obstructive pulmonary disease (COPD) patients at the outpatient chest clinic of the Chiang Mai University Hospital, Thailand. Eligible patients were evaluated for BMI, FFMI, lung function, modified medical research council (mMRC) dyspnea score, COPD assessment test (CAT) score, and number of acute exacerbation (AE) in the past year. The correlations of FFMI and BMI with other parameters were determined using Pearson correlation coefficient analysis. Body composition was categorized into four groups, normal, semi-starvation, muscle atrophy/sarcopenia, and cachexia based on BMI and FFMI. Statistical significance was accepted at p-value <0.05. Results: One hundred twenty one stable COPD patients met study inclusion criteria. The FFMI showed a strong correlation with BMI (r = 0.792, p<0.001). The FFMI, but not BMI, was significantly correlated with mMRC, precentage of predicted forced expiratory volume in first second (FEV1), and CAT score (r = -0.315, 0.214, and -0.278, respectively). Body composition was categorized into four groups: normal body composition (n = 62, 51.2%), semi-starvation (n = 4, 3.3%), sarcopenia muscular atrophy (n = 12, 9.9%), and cachexia (n = 43, 35.5%). Conclusion: FFMI, but not BMI, was significantly correlated with dyspnea severity, lung function, and quality of life. Body composition category assignment is a useful clinical tool.
format Journal
author Chaicharn Pothirat
Warawut Chaiwong
Nittaya Phetsuk
Chalerm Liwsrisakun
Chaiwat Bumroongkit
Athavudh Deesomchok
Theerakorn Theerakittikul
Atikun Limsukon
author_facet Chaicharn Pothirat
Warawut Chaiwong
Nittaya Phetsuk
Chalerm Liwsrisakun
Chaiwat Bumroongkit
Athavudh Deesomchok
Theerakorn Theerakittikul
Atikun Limsukon
author_sort Chaicharn Pothirat
title The relationship between body composition and clinical parameters in chronic obstructive pulmonary disease
title_short The relationship between body composition and clinical parameters in chronic obstructive pulmonary disease
title_full The relationship between body composition and clinical parameters in chronic obstructive pulmonary disease
title_fullStr The relationship between body composition and clinical parameters in chronic obstructive pulmonary disease
title_full_unstemmed The relationship between body composition and clinical parameters in chronic obstructive pulmonary disease
title_sort relationship between body composition and clinical parameters in chronic obstructive pulmonary disease
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84969645887&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/56165
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