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      The product of trunk muscle area and density on the CT image is a good indicator of energy expenditure in patients with or at risk for COPD

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          Abstract

          Background

          Physical inactivity due to cachexia and muscle wasting is well recognized as a sign of poor prognosis in chronic obstructive pulmonary disease (COPD). However, there have been no reports on the relationship between trunk muscle measurements and energy expenditure parameters, such as the total energy expenditure (TEE) and physical activity level (PAL), in COPD. In this study, we investigated the associations of computed tomography (CT)-derived muscle area and density measurements with clinical parameters, including TEE and PAL, in patients with or at risk for COPD, and examined whether these muscle measurements serve as an indicator of TEE and PAL.

          Methods

          The study population consisted of 36 male patients with (n = 28, stage 1–4) and at risk for (n = 8) COPD aged over 50 years. TEE was measured by the doubly labeled water method, and PAL was calculated as the TEE/basal metabolic rate estimated by the indirect method. The cross-sectional areas and densities of the pectoralis muscles, rectus abdominis muscles, and erector spinae muscles were measured. We evaluated the relationship between these muscle measurements and clinical outcomes, including body composition, lung function, muscle strength, TEE, and PAL.

          Results

          All the muscle areas were significantly associated with TEE, severity of emphysema, and body composition indices such as body mass index, fat-free mass, and trunk muscle mass. All trunk muscle densities were correlated with PAL. The product of the rectus abdominis muscle area and density showed the highest association with TEE (r = 0.732) and PAL (r = 0.578). Several trunk muscle measurements showed significant correlations with maximal inspiratory and expiratory pressures, indicating their roles in respiration.

          Conclusions

          CT-derived measurements for trunk muscles are helpful in evaluating physical status and function in patients with or at risk for COPD. Particularly, trunk muscle evaluation may be a useful marker reflecting TEE and PAL.

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          Most cited references39

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          Definition and classification of cancer cachexia: an international consensus.

          To develop a framework for the definition and classification of cancer cachexia a panel of experts participated in a formal consensus process, including focus groups and two Delphi rounds. Cancer cachexia was defined as a multifactorial syndrome defined by an ongoing loss of skeletal muscle mass (with or without loss of fat mass) that cannot be fully reversed by conventional nutritional support and leads to progressive functional impairment. Its pathophysiology is characterised by a negative protein and energy balance driven by a variable combination of reduced food intake and abnormal metabolism. The agreed diagnostic criterion for cachexia was weight loss greater than 5%, or weight loss greater than 2% in individuals already showing depletion according to current bodyweight and height (body-mass index [BMI] <20 kg/m(2)) or skeletal muscle mass (sarcopenia). An agreement was made that the cachexia syndrome can develop progressively through various stages--precachexia to cachexia to refractory cachexia. Severity can be classified according to degree of depletion of energy stores and body protein (BMI) in combination with degree of ongoing weight loss. Assessment for classification and clinical management should include the following domains: anorexia or reduced food intake, catabolic drive, muscle mass and strength, functional and psychosocial impairment. Consensus exists on a framework for the definition and classification of cancer cachexia. After validation, this should aid clinical trial design, development of practice guidelines, and, eventually, routine clinical management. Copyright © 2011 Elsevier Ltd. All rights reserved.
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            New methods for calculating metabolic rate with special reference to protein metabolism.

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              Chronic obstructive pulmonary disease

              Summary Chronic obstructive pulmonary disease (COPD) is characterised by progressive airflow obstruction that is only partly reversible, inflammation in the airways, and systemic effects or comorbities. The main cause is smoking tobacco, but other factors have been identified. Several pathobiological processes interact on a complex background of genetic determinants, lung growth, and environmental stimuli. The disease is further aggravated by exacerbations, particularly in patients with severe disease, up to 78% of which are due to bacterial infections, viral infections, or both. Comorbidities include ischaemic heart disease, diabetes, and lung cancer. Bronchodilators constitute the mainstay of treatment: β2 agonists and long-acting anticholinergic agents are frequently used (the former often with inhaled corticosteroids). Besides improving symptoms, these treatments are also thought to lead to some degree of disease modification. Future research should be directed towards the development of agents that notably affect the course of disease.
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                Author and article information

                Contributors
                t.shirahata+doctor@gmail.com
                Journal
                Respir Res
                Respir Res
                Respiratory Research
                BioMed Central (London )
                1465-9921
                1465-993X
                15 January 2021
                15 January 2021
                2021
                : 22
                : 18
                Affiliations
                [1 ]GRID grid.410802.f, ISNI 0000 0001 2216 2631, Department of Respiratory Medicine, , Saitama Medical University, ; 38 Morohongo, Moroyama-machi, Iruma-gun, Saitama, 350-0495 Japan
                [2 ]GRID grid.410802.f, ISNI 0000 0001 2216 2631, Department of Radiology, , Saitama Medical University, ; Saitama, Japan
                [3 ]GRID grid.482562.f, Department of Nutrition and Metabolism, , National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, ; Tokyo, Japan
                [4 ]GRID grid.136593.b, ISNI 0000 0004 0373 3971, Graduate School of Engineering Science, , Osaka University, ; Osaka, Japan
                [5 ]GRID grid.411981.4, ISNI 0000 0004 0370 2825, Faculty of Nutrition, , Kagawa Nutrition University, ; Saitama, Japan
                [6 ]GRID grid.26091.3c, ISNI 0000 0004 1936 9959, Sports Medicine Research Center, , Keio University, ; Yokohama, Japan
                Author information
                http://orcid.org/0000-0002-8975-6618
                Article
                1621
                10.1186/s12931-021-01621-2
                7811265
                33451329
                2a6ee349-371f-4806-9ac9-e7747490cdd3
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 9 July 2020
                : 10 January 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100009619, Japan Agency for Medical Research and Development;
                Award ID: JP17ek0210045 and JP20ek0210112
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Respiratory medicine
                chronic obstructive pulmonary disease,computed tomography,physical activity level,trunk muscle,energy expenditure

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