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Shimizu K, Kimura H, Tanabe N, Tanimura K, Chubachi S, Iijima H, Sato S, Wakazono N, Nakamaru Y, Okada K, Makita H, Goudarzi H, Suzuki M, Nishimura M, Konno S. Increased adiposity-to-muscle ratio and severity of sinusitis affect quality of life in asthma: Computed tomographic analysis. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. GLOBAL 2024; 3:100277. [PMID: 38983113 PMCID: PMC11231708 DOI: 10.1016/j.jacig.2024.100277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 03/03/2024] [Accepted: 04/05/2024] [Indexed: 07/11/2024]
Abstract
Background Deteriorated sinusitis and increased adiposity relative to muscle mass may affect quality of life in patients with asthma. However, whether these effects are observed regardless of intrapulmonary pathology is unknown. Objectives We evaluated the correlation of the cross-sectional ratio of abdominal visceral fat (VF) to erector spinae muscle (ESM) and sinus findings based on Lund-Mackey scoring system (LMS) on computed tomography (CT) with the impaired score of the Asthma Quality of Life Questionnaire (AQLQ), regardless of airway and parenchymal disease, in patients with asthma. Methods We recruited participants from the Hokkaido-based severe asthma cohort who had completed AQLQ and CT examination at the entry. The participants were divided into high (highest) and low (other quartiles) groups on the bases of the extrapulmonary indices. Multivariate analysis examined the association of VF/ESM for the adiposity-to-muscle ratio and LMS with AQLQ after adjusting for the airway fractal dimension for airway index and percentage of low attenuation volume to lung volume for parenchymal index. Results No significant differences were observed in VF/ESM and LMS in terms of sex. The AQLQ score in the high VF/ESM group and high LMS group was lower than those in low VF/ESM group and low LMS group (63 male and 100 female subjects). High VF/ESM (estimate [95% confidence interval] (-0.43 [-0.61, -0.25]) and high LMS scores (-0.22 [-0.41, -0.03]) were associated with low AQLQ scores when adjusted for age, body mass index, smoking status, blood eosinophil count, and intrapulmonary CT indices. Conclusions Increased VF relative to ESM mass and high LMS may deteriorate asthma-related quality of life, regardless of presence of intrapulmonary disease.
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Affiliation(s)
- Kaoruko Shimizu
- Division of Emergent Respiratory and Cardiovascular Medicine, Hokkaido University Hospital, Sapporo, Japan
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Hirokazu Kimura
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Naoya Tanabe
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kazuya Tanimura
- Department of Respiratory Medicine, Nara Medical University, Kashihara, Japan
| | - Shotaro Chubachi
- Department of Medicine, Division of Pulmonary Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Hiroaki Iijima
- Department of Respiratory Medicine, Tsukuba Medical Center Hospital, Tsukuba, Japan
| | - Susumu Sato
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Nobuyasu Wakazono
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Yuji Nakamaru
- Department of Otolaryngology-Head and Neck Surgery, School of Medicine, Hokkaido University, Sapporo, Japan
| | - Kazufumi Okada
- Data Science Center, Promotion Unit, Institute of Health Science Innovation for Medical Care, Hokkaido University Hospital, Sapporo, Japan
| | - Hironi Makita
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
- Hokkaido Medical Research Institute for Respiratory Diseases, Sapporo, Japan
| | - Houman Goudarzi
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Masaru Suzuki
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Masaharu Nishimura
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
- Hokkaido Medical Research Institute for Respiratory Diseases, Sapporo, Japan
| | - Satoshi Konno
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
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Wang K, Wu F, He H, Hu C, Chen X, Chen J, Cao W, Liu J, Zhao J, Zhao Z, Zhao Z. Association between computed tomography-quantified respiratory muscles and chronic obstructive pulmonary disease: a retrospective study. BMC Pulm Med 2024; 24:150. [PMID: 38515154 PMCID: PMC10956391 DOI: 10.1186/s12890-024-02955-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 03/07/2024] [Indexed: 03/23/2024] Open
Abstract
BACKGROUND This study examined the association between chest muscles and chronic obstructive pulmonary disease (COPD) and the relationship between chest muscle areas and acute exacerbations of COPD (AECOPD). METHODS There were 168 subjects in the non-COPD group and 101 patients in the COPD group. The respiratory and accessory respiratory muscle areas were obtained using 3D Slicer software to analysis the imaging of computed tomography (CT). Univariate and multivariate Poisson regressions were used to analyze the number of AECOPD cases during the preceding year. The cutoff value was obtained using a receiver operating characteristic (ROC) curve. RESULTS We scanned 6342 subjects records, 269 of which were included in this study. We then measured the following muscle areas (non-COPD group vs. COPD group): pectoralis major (19.06 ± 5.36 cm2 vs. 13.25 ± 3.71 cm2, P < 0.001), pectoralis minor (6.81 ± 2.03 cm2 vs. 5.95 ± 1.81 cm2, P = 0.001), diaphragmatic dome (1.39 ± 0.97 cm2 vs. 0.85 ± 0.72 cm2, P = 0.011), musculus serratus anterior (28.03 ± 14.95 cm2 vs.16.76 ± 12.69 cm2, P < 0.001), intercostal muscle (12.36 ± 6.64 cm2 vs. 7.15 ± 5.6 cm2, P < 0.001), pectoralis subcutaneous fat (25.91 ± 13.23 cm2 vs. 18.79 ± 10.81 cm2, P < 0.001), paravertebral muscle (14.8 ± 4.35 cm2 vs. 13.33 ± 4.27 cm2, P = 0.007), and paravertebral subcutaneous fat (12.57 ± 5.09 cm2 vs. 10.14 ± 6.94 cm2, P = 0.001). The areas under the ROC curve for the pectoralis major, intercostal, and the musculus serratus anterior muscle areas were 81.56%, 73.28%, and 71.56%, respectively. Pectoralis major area was negatively associated with the number of AECOPD during the preceding year after adjustment (relative risk, 0.936; 95% confidence interval, 0.879-0.996; P = 0.037). CONCLUSION The pectoralis major muscle area was negative associated with COPD. Moreover, there was a negative correlation between the number of AECOPD during the preceding year and the pectoralis major area.
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Affiliation(s)
- Ke Wang
- Department of Infectious Diseases, Respiratory and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
- Guangzhou Chest Hospital, Guangzhou, China
| | - Fan Wu
- State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine & Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou National Laboratory, Guangzhou, China
| | - Hua He
- Department of Infectious Diseases, Respiratory and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
| | - Chengyi Hu
- Department of Infectious Diseases, Respiratory and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
| | - Xiaobang Chen
- Department of Infectious Diseases, Respiratory and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
| | - Jinglong Chen
- Department of Geriatrics, National Clinical Key Specialty, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
| | - Weitao Cao
- Department of Infectious Diseases, Respiratory and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
| | - Jun Liu
- Department of Infectious Diseases, Respiratory and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
| | | | - Ziwen Zhao
- Department of Infectious Diseases, Respiratory and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
| | - Zhuxiang Zhao
- Department of Infectious Diseases, Respiratory and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
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Seo H, Cha SI, Park J, Lim JK, Lee WK, Park JE, Choi SH, Lee YH, Yoo SS, Lee SY, Lee J, Kim CH, Park JY. Pectoralis Muscle Area as a Predictor of Mortality in Patients Hospitalized with Bronchiectasis Exacerbation. Respiration 2024; 103:257-267. [PMID: 38499001 DOI: 10.1159/000538091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 02/27/2024] [Indexed: 03/20/2024] Open
Abstract
INTRODUCTION Data on factors related to mortality in patients with bronchiectasis exacerbation are insufficient. Computed tomography (CT) can measure the pectoralis muscle area (PMA) and is a useful tool to diagnose sarcopenia. This study aimed to evaluate whether PMA can predict mortality in patients with bronchiectasis exacerbation. METHODS Patients hospitalized due to bronchiectasis exacerbation at a single center were retrospectively divided into survivors and non-survivors based on 1-year mortality. Thereafter, a comparison of the clinical and radiologic characteristics was conducted between the two groups. RESULTS A total of 66 (14%) patients died at 1 year. In the multivariate analysis, age, BMI <18.4 kg/m2, sex-specific PMA quartile, ≥3 exacerbations in the previous year, serum albumin <3.5 g/dL, cystic bronchiectasis, tuberculosis-destroyed lung, and diabetes mellitus were independent predictors for the 1-year mortality in patients hospitalized with bronchiectasis exacerbation. A lower PMA was associated with a lower overall survival rate in the survival analysis according to sex-specific quartiles of PMA. PMA had the highest area under the curve during assessment of prognostic performance in predicting the 1-year mortality. The lowest sex-specific PMA quartile group exhibited higher disease severity than the highest quartile group. CONCLUSIONS CT-derived PMA was an independent predictor of 1-year mortality in patients hospitalized with bronchiectasis exacerbation. Patients with lower PMA exhibited higher disease severity. These findings suggest that PMA might be a useful marker for providing additional information regarding prognosis of patients with bronchiectasis exacerbation.
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Affiliation(s)
- Hyewon Seo
- Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Seung-Ick Cha
- Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Jongmin Park
- Department of Radiology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Jae-Kwang Lim
- Department of Radiology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Won Kee Lee
- Biostatistics, Medical Research Collaboration Center, Kyungpook National University, Daegu, Republic of Korea
| | - Ji-Eun Park
- Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Sun Ha Choi
- Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Yong Hoon Lee
- Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Seung-Soo Yoo
- Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Shin-Yup Lee
- Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Jaehee Lee
- Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Chang-Ho Kim
- Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Jae-Yong Park
- Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
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Genkin D, Jenkins AR, van Noord N, Makimoto K, Collins S, Stickland MK, Tan WC, Bourbeau J, Jensen D, Kirby M. A fully automated pipeline for the extraction of pectoralis muscle area from chest computed tomography scans. ERJ Open Res 2024; 10:00485-2023. [PMID: 38259805 PMCID: PMC10801752 DOI: 10.1183/23120541.00485-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 11/09/2023] [Indexed: 01/24/2024] Open
Abstract
Background Computed tomography (CT)-derived pectoralis muscle area (PMA) measurements are prognostic in people with or at-risk of COPD, but fully automated PMA extraction has yet to be developed. Our objective was to develop and validate a PMA extraction pipeline that can automatically: 1) identify the aortic arch slice; and 2) perform pectoralis segmentation at that slice. Methods CT images from the Canadian Cohort of Obstructive Lung Disease (CanCOLD) study were used for pipeline development. Aorta atlases were used to automatically identify the slice containing the aortic arch by group-based registration. A deep learning model was trained to segment the PMA. The pipeline was evaluated in comparison to manual segmentation. An external dataset was used to evaluate generalisability. Model performance was assessed using the Dice-Sorensen coefficient (DSC) and PMA error. Results In total 90 participants were used for training (age 67.0±9.9 years; forced expiratory volume in 1 s (FEV1) 93±21% predicted; FEV1/forced vital capacity (FVC) 0.69±0.10; 47 men), and 32 for external testing (age 68.6±7.4 years; FEV1 65±17% predicted; FEV1/FVC 0.50±0.09; 16 men). Compared with manual segmentation, the deep learning model achieved a DSC of 0.94±0.02, 0.94±0.01 and 0.90±0.04 on the true aortic arch slice in the train, validation and external test sets, respectively. Automated aortic arch slice detection obtained distance errors of 1.2±1.3 mm and 1.6±1.5 mm on the train and test data, respectively. Fully automated PMA measurements were not different from manual segmentation (p>0.05). PMA measurements were different between people with and without COPD (p=0.01) and correlated with FEV1 % predicted (p<0.05). Conclusion A fully automated CT PMA extraction pipeline was developed and validated for use in research and clinical practice.
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Affiliation(s)
- Daniel Genkin
- Department of Electrical, Computer, and Biomedical Engineering, Toronto Metropolitan University, Toronto, Canada
| | - Alex R. Jenkins
- Clinical Exercise and Respiratory Physiology Laboratory, Department of Kinesiology and Physical Education, McGill University, Montreal, Canada
| | - Nikki van Noord
- Clinical Exercise and Respiratory Physiology Laboratory, Department of Kinesiology and Physical Education, McGill University, Montreal, Canada
| | - Kalysta Makimoto
- Department of Physics, Toronto Metropolitan University, Toronto, Canada
| | - Sophie Collins
- Department of Medicine, University of Alberta, Edmonton, Canada
| | | | - Wan C. Tan
- Center for Heart, Lung Innovation, University of British Columbia, Vancouver, Canada
| | - Jean Bourbeau
- Montreal Chest Institute of the Royal Victoria Hospital, McGill University Health Centre, Montreal, Canada
- Respiratory Epidemiology and Clinical Research Unit, Research Institute of McGill University Health Centre, Montreal, Canada
| | - Dennis Jensen
- Clinical Exercise and Respiratory Physiology Laboratory, Department of Kinesiology and Physical Education, McGill University, Montreal, Canada
- Montreal Chest Institute of the Royal Victoria Hospital, McGill University Health Centre, Montreal, Canada
- Respiratory Epidemiology and Clinical Research Unit, Research Institute of McGill University Health Centre, Montreal, Canada
- Translational Research in Respiratory Diseases Program, Research Institute of the McGill University Health Centre, Montreal, Canada
| | - Miranda Kirby
- Department of Physics, Toronto Metropolitan University, Toronto, Canada
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Lim WH, Jeong S, Park CM. Cigarette smoking and disproportionate changes of thoracic skeletal muscles in low-dose chest computed tomography. Sci Rep 2023; 13:20110. [PMID: 37978301 PMCID: PMC10656498 DOI: 10.1038/s41598-023-46360-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 10/31/2023] [Indexed: 11/19/2023] Open
Abstract
Association between smoking intensity and the quantity and quality of thoracic skeletal muscles (TSMs) remains unexplored. Skeletal muscle index (SMI; skeletal muscle area/height2) and percentage of normal attenuation muscle area (NAMA%) were measured to represent the quantity and quality of the skeletal muscles, respectively, and quantification was performed in pectoralis muscle at aortic arch (AA-PM), TSM at carina (C-TSM), erector spinae muscle at T12 (T12-ESM), and skeletal muscle at L1 (L1-SM). Among the 258 men (median age, 62 years [IQR: 58-69]), 183 were current smokers (median smoking intensity, 40 pack-years [IQR: 30-46]). SMI and NAMA% of AA-PM significantly decreased with pack-year (β = - 0.028 and - 0.076; P < 0.001 and P = 0.021, respectively). Smoking intensity was inversely associated with NAMA% of C-TSM (β = - 0.063; P = 0.001), whereas smoking intensity showed a borderline association with SMI of C-TSM (β = - 0.023; P = 0.057). Smoking intensity was associated with the change in NAMA% of L1-SM (β = - 0.040; P = 0.027), but was not associated with SMI of L1-SM (P > 0.05). Neither NAMA% nor SMI of T12-ESM was affected by smoking intensity (P > 0.05). In conclusion, smoking intensity was associated with the change of TSMs. Its association varied according to the location of TSMs, with the most associated parts being the upper (AA-PM) and middle TSMs (C-TSM).
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Affiliation(s)
- Woo Hyeon Lim
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Suhyun Jeong
- Department of Radiology, Namwon Medical Center, 365 Chungjeong-no, Namwon, Jeollabuk-do, 55726, Republic of Korea
| | - Chang Min Park
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
- Department of Radiology, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
- Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea.
- Institute of Medical and Biological Engineering, Medical Research Center, Seoul National University, Seoul, Republic of Korea.
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Saha PK, Nadeem SA, Comellas AP. A Survey on Artificial Intelligence in Pulmonary Imaging. WILEY INTERDISCIPLINARY REVIEWS. DATA MINING AND KNOWLEDGE DISCOVERY 2023; 13:e1510. [PMID: 38249785 PMCID: PMC10796150 DOI: 10.1002/widm.1510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Accepted: 06/21/2023] [Indexed: 01/23/2024]
Abstract
Over the last decade, deep learning (DL) has contributed a paradigm shift in computer vision and image recognition creating widespread opportunities of using artificial intelligence in research as well as industrial applications. DL has been extensively studied in medical imaging applications, including those related to pulmonary diseases. Chronic obstructive pulmonary disease, asthma, lung cancer, pneumonia, and, more recently, COVID-19 are common lung diseases affecting nearly 7.4% of world population. Pulmonary imaging has been widely investigated toward improving our understanding of disease etiologies and early diagnosis and assessment of disease progression and clinical outcomes. DL has been broadly applied to solve various pulmonary image processing challenges including classification, recognition, registration, and segmentation. This paper presents a survey of pulmonary diseases, roles of imaging in translational and clinical pulmonary research, and applications of different DL architectures and methods in pulmonary imaging with emphasis on DL-based segmentation of major pulmonary anatomies such as lung volumes, lung lobes, pulmonary vessels, and airways as well as thoracic musculoskeletal anatomies related to pulmonary diseases.
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Affiliation(s)
- Punam K Saha
- Departments of Radiology and Electrical and Computer Engineering, University of Iowa, Iowa City, IA, 52242
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Meggyesy AM, Wilshire CL, Chang SC, Gorden JA, Gilbert CR. Muscle mass cross-sectional area is associated with survival outcomes in malignant pleural disease related to lung cancer. Respir Med 2023; 217:107371. [PMID: 37516273 DOI: 10.1016/j.rmed.2023.107371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 06/04/2023] [Accepted: 07/25/2023] [Indexed: 07/31/2023]
Abstract
INTRODUCTION Malignant pleural effusions are common in advanced malignancy and associated with overall poor survival. The presence of sarcopenia (decreased muscle mass) is associated with poor outcomes in numerous disease states, however, its relationship to malignant pleural disease has not been defined. We sought to understand if there was an association between decreased survival and decreased muscle mass in patients with malignant pleural effusion. METHODS Patients with malignant pleural disease undergoing indwelling tunneled pleural catheter placement were retrospectively reviewed. Computed tomography was reviewed and cross-sectional area of pectoralis and paraspinous muscle areas were calculated. Overall survival and associations with muscle mass were calculated. RESULTS A total of 309 patients were available for analysis, with a median age of 67 years and the majority female (58%). The median survival was 129 days from initial pleural drainage to death. Regression analysis and Kaplan-Meier survival analysis did not reveal an association with survival and muscle mass for the entire population. However, Kaplan-Meier survival analysis of the lung cancer subgroup revealed the presence of decreased muscle mass and decreased survival time. CONCLUSION The presence of decreased muscle mass within a lung cancer population that has malignant pleural effusions are associated with decreased survival. However, the presence of decreased muscle mass within a heterogenous population of malignant pleural disease was not associated with decreased overall survival time. Further study of the role that sarcopenia may play in malignant pleural disease is warranted.
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Affiliation(s)
- Austin M Meggyesy
- Division of Thoracic Surgery and Interventional Pulmonology, Swedish Cancer Institute, Seattle, WA, USA; The Center for Lung Research in Honor of Wayne Gittinger, Seattle, WA, USA
| | - Candice L Wilshire
- Division of Thoracic Surgery and Interventional Pulmonology, Swedish Cancer Institute, Seattle, WA, USA; The Center for Lung Research in Honor of Wayne Gittinger, Seattle, WA, USA
| | - Shu-Ching Chang
- Section of Biostatistics, Providence-St. Vincent Medical Center, Portland, OR, USA
| | - Jed A Gorden
- Division of Thoracic Surgery and Interventional Pulmonology, Swedish Cancer Institute, Seattle, WA, USA; The Center for Lung Research in Honor of Wayne Gittinger, Seattle, WA, USA
| | - Christopher R Gilbert
- The Center for Lung Research in Honor of Wayne Gittinger, Seattle, WA, USA; Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, Medical University of South Carolina, Charleston, SC, USA.
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Diaz AA, Wang W, Orejas JL, Elalami R, Dolliver WR, Nardelli P, San José Estépar R, Choi B, Pistenmaa CL, Ross JC, Maselli DJ, Yen A, Young KA, Kinney GL, Cho MH, San José Estépar R. Suspected Bronchiectasis and Mortality in Adults With a History of Smoking Who Have Normal and Impaired Lung Function : A Cohort Study. Ann Intern Med 2023; 176:1340-1348. [PMID: 37782931 PMCID: PMC10809158 DOI: 10.7326/m23-1125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/04/2023] Open
Abstract
BACKGROUND Bronchiectasis in adults with chronic obstructive pulmonary disease (COPD) is associated with greater mortality. However, whether suspected bronchiectasis-defined as incidental bronchiectasis on computed tomography (CT) images plus clinical manifestation-is associated with increased mortality in adults with a history of smoking with normal spirometry and preserved ratio impaired spirometry (PRISm) is unknown. OBJECTIVE To determine the association between suspected bronchiectasis and mortality in adults with normal spirometry, PRISm, and obstructive spirometry. DESIGN Prospective, observational cohort. SETTING The COPDGene (Genetic Epidemiology of Chronic Obstructive Pulmonary Disease) study. PARTICIPANTS 7662 non-Hispanic Black or White adults, aged 45 to 80 years, with 10 or more pack-years of smoking history. Participants who were former and current smokers were stratified into normal spirometry (n = 3277), PRISm (n = 986), and obstructive spirometry (n = 3399). MEASUREMENTS Bronchiectasis identified by CT was ascertained using artificial intelligence-based measurements of an airway-to-artery ratio (AAR) greater than 1 (AAR >1), a measure of bronchial dilatation. The primary outcome of "suspected bronchiectasis" was defined as an AAR >1 of greater than 1% plus 2 of the following: cough, phlegm, dyspnea, and history of 2 or more exacerbations. RESULTS Among the 7662 participants (mean age, 60 years; 52% women), 1352 (17.6%) had suspected bronchiectasis. During a median follow-up of 11 years, 2095 (27.3%) died. Ten-year mortality risk was higher in participants with suspected bronchiectasis, compared with those without suspected bronchiectasis (normal spirometry: difference in mortality probability [Pr], 0.15 [95% CI, 0.09 to 0.21]; PRISm: Pr, 0.07 [CI, -0.003 to 0.15]; obstructive spirometry: Pr, 0.06 [CI, 0.03 to 0.09]). When only CT was used to identify bronchiectasis, the differences were attenuated in the normal spirometry (Pr, 0.04 [CI, -0.001 to 0.08]). LIMITATIONS Only 2 racial groups were studied. Only 1 measurement was used to define bronchiectasis on CT. Symptoms of suspected bronchiectasis were nonspecific. CONCLUSION Suspected bronchiectasis was associated with a heightened risk for mortality in adults with normal and obstructive spirometry. PRIMARY FUNDING SOURCE National Heart, Lung, and Blood Institute.
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Affiliation(s)
- Alejandro A Diaz
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts (A.A.D., J.L.O., R.E., W.R.D., B.C., C.L.P.)
| | - Wei Wang
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts (W.W.)
| | - Jose L Orejas
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts (A.A.D., J.L.O., R.E., W.R.D., B.C., C.L.P.)
| | - Rim Elalami
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts (A.A.D., J.L.O., R.E., W.R.D., B.C., C.L.P.)
| | - Wojciech R Dolliver
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts (A.A.D., J.L.O., R.E., W.R.D., B.C., C.L.P.)
| | - Pietro Nardelli
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts (P.N., RubenS.J.E., J.C.R., RaulS.J.E.)
| | - Ruben San José Estépar
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts (P.N., RubenS.J.E., J.C.R., RaulS.J.E.)
| | - Bina Choi
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts (A.A.D., J.L.O., R.E., W.R.D., B.C., C.L.P.)
| | - Carrie L Pistenmaa
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts (A.A.D., J.L.O., R.E., W.R.D., B.C., C.L.P.)
| | - James C Ross
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts (P.N., RubenS.J.E., J.C.R., RaulS.J.E.)
| | - Diego J Maselli
- Division of Pulmonary Diseases and Critical Care, The University of Texas at San Antonio, San Antonio, Texas (D.J.M.)
| | - Andrew Yen
- Department of Radiology, University of California San Diego, San Diego, California (A.Y.)
| | - Kendra A Young
- Department of Epidemiology, Colorado School of Public Health, University of Colorado, Aurora, Colorado (K.A.Y., G.L.K.)
| | - Gregory L Kinney
- Department of Epidemiology, Colorado School of Public Health, University of Colorado, Aurora, Colorado (K.A.Y., G.L.K.)
| | - Michael H Cho
- Division of Pulmonary and Critical Care Medicine, and Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts (M.H.C.)
| | - Raul San José Estépar
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts (P.N., RubenS.J.E., J.C.R., RaulS.J.E.)
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9
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Zou RH, Nouraie SM, Karoleski C, Zhang Y, Sciurba FC, Forman DE, Bon J. Incident low muscle mass is associated with greater lung disease and lower circulating leptin in a tobacco-exposed longitudinal cohort. Respir Res 2023; 24:224. [PMID: 37737171 PMCID: PMC10515430 DOI: 10.1186/s12931-023-02521-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 08/23/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND Muscle loss is prevalent in chronic obstructive pulmonary disease (COPD). Prior studies evaluating musculoskeletal dysfunction in COPD have focused on individuals with baseline low muscle mass. Currently, there is limited data evaluating clinical characteristics and outcomes associated with progression to incident low muscle mass in a tobacco-exposed cohort of individuals with baseline normal muscle mass. METHODS We evaluated 246 participants from a single-center longitudinal tobacco-exposed cohort with serial spirometry, thoracic imaging, dual energy x-ray absorptiometry (DXA) measurements, walk testing, and plasma adipokine measurements. DXA-derived fat free mass index (FFMI) and appendicular skeletal mass index (ASMI) were used as surrogates for muscle mass. Participants with incident low muscle mass (LM) at follow-up were characterized by FFMI < 18.4 kg/m2 in males and < 15.4 kg/m2 in females and/or ASMI < 7.25 kg/m2 in males and < 5.67 kg/m2 in females. RESULTS Twenty-five (10%) participants progressed to incident low muscle mass at follow-up. At baseline, the LM subgroup had greater active smoking prevalence (60% v. 38%, p = 0.04), lower FFMI (17.8 ± 1.7 kg/m2 v. 19.7 ± 2.9 kg/m2, p = 0.002), lower ASMI (7.3 ± 0.9 kg/m2 v. 8.2 ± 1.2 kg/m2, p = 0.0003), and lower plasma leptin (14.9 ± 10.1 ng/mL v. 24.0 ± 20.9 ng/mL, p = 0.04). At follow-up, the LM subgroup had higher COPD prevalence (68% v. 43%, p = 0.02), lower FEV1/FVC (0.63 ± 0.12 v. 0.69 ± 0.12, p = 0.02), lower %DLco (66.5 ± 15.9% v. 73.9 ± 16.8%, p = 0.03), and higher annual rate of FFMI decline (-0.17 kg/m2/year v. -0.04 kg/m2/year, p = 0.006). There were no differences in age, gender distribution, pack years smoking history, or walk distance. CONCLUSIONS We identified a subgroup of tobacco-exposed individuals with normal baseline muscle mass who progressed to incident DXA-derived low muscle mass. This subgroup demonstrated synchronous lung disease and persistently low circulating leptin levels. Our study suggests the importance of assessing for muscle loss in conjunction with lung function decline when evaluating individuals with tobacco exposure.
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Affiliation(s)
- Richard H Zou
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
- Emphysema COPD Research Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - S Mehdi Nouraie
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
- Emphysema COPD Research Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Chad Karoleski
- Emphysema COPD Research Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Yingze Zhang
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
- Emphysema COPD Research Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Frank C Sciurba
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
- Emphysema COPD Research Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Daniel E Forman
- Division of Cardiology, Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
- Division of Geriatrics, Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Jessica Bon
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
- Emphysema COPD Research Center, University of Pittsburgh, Pittsburgh, PA, USA.
- Veteran Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA.
- UPMC Montefiore Hospital, NW628 3459 Fifth Avenue, Pittsburgh, PA, 15213, USA.
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10
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Yang Z, Choi I, Choi J, Jung J, Ryu M, Yong HS. Deep learning-based pectoralis muscle volume segmentation method from chest computed tomography image using sagittal range detection and axial slice-based segmentation. PLoS One 2023; 18:e0290950. [PMID: 37669295 PMCID: PMC10479911 DOI: 10.1371/journal.pone.0290950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 08/19/2023] [Indexed: 09/07/2023] Open
Abstract
The pectoralis muscle is an important indicator of respiratory muscle function and has been linked to various parenchymal biomarkers, such as airflow limitation severity and diffusing capacity for carbon monoxide, which are widely used in diagnosing parenchymal diseases, including asthma and chronic obstructive pulmonary disease. Pectoralis muscle segmentation is a method for measuring muscle volume and mass for various applications. The segmentation method is based on deep-learning techniques that combine a muscle area detection model and a segmentation model. The training dataset for the detection model comprised multichannel images of patients, whereas the segmentation model was trained on 7,796 cases of the computed tomography (CT) image dataset of 1,841 patients. The dataset was expanded incrementally through an active learning process. The performance of the model was evaluated by comparing the segmentation results with manual annotations by radiologists and the volumetric differences between the CT image datasets of the same patients. The results indicated that the machine learning model is promising in segmenting the pectoralis major muscle, with good agreement between the automatic segmentation and manual annotations by radiologists. The training accuracy and loss values of the validation set were 0.9954 and 0.0725, respectively, and for segmentation, the loss value was 0.0579. This study shows the potential clinical usefulness of the machine learning model for pectoralis major muscle segmentation as a quantitative biomarker for various parenchymal and muscular diseases.
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Affiliation(s)
- Zepa Yang
- Department of Radiology, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Insung Choi
- Department of Radiology, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Juwhan Choi
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Jongha Jung
- Department of Radiology, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Minyeong Ryu
- Department of Radiology, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Hwan Seok Yong
- Department of Radiology, Korea University Guro Hospital, Seoul, Republic of Korea
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11
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Diaz AA, Orejas JL, Grumley S, Nath HP, Wang W, Dolliver WR, Yen A, Kligerman SJ, Jacobs K, Manapragada PP, Abozeed M, Aziz MU, Zahid M, Ahmed AN, Terry NL, San José Estépar R, Kim V, Make BJ, Han MK, Sonavane S, Washko GR, Cho M, San José Estépar R. Airway-Occluding Mucus Plugs and Mortality in Patients With Chronic Obstructive Pulmonary Disease. JAMA 2023; 329:1832-1839. [PMID: 37210745 PMCID: PMC10201404 DOI: 10.1001/jama.2023.2065] [Citation(s) in RCA: 28] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 02/07/2023] [Indexed: 05/23/2023]
Abstract
Importance Airway mucus plugs are common in patients with chronic obstructive pulmonary disease (COPD); however, the association of airway mucus plugging and mortality in patients with COPD is unknown. Objective To determine whether airway mucus plugs identified on chest computed tomography (CT) were associated with increased all-cause mortality. Design, Setting, and Participants Observational retrospective analysis of prospectively collected data of patients with a diagnosis of COPD in the Genetic Epidemiology of COPD cohort. Participants were non-Hispanic Black or White individuals, aged 45 to 80 years, who smoked at least 10 pack-years. Participants were enrolled at 21 centers across the US between November 2007 and April 2011 and were followed up through August 31, 2022. Exposures Mucus plugs that completely occluded airways on chest CT scans, identified in medium- to large-sized airways (ie, approximately 2- to 10-mm lumen diameter) and categorized as affecting 0, 1 to 2, or 3 or more lung segments. Main Outcomes and Measures The primary outcome was all-cause mortality, assessed with proportional hazard regression analysis. Models were adjusted for age, sex, race and ethnicity, body mass index, pack-years smoked, current smoking status, forced expiratory volume in the first second of expiration, and CT measures of emphysema and airway disease. Results Among the 4483 participants with COPD, 4363 were included in the primary analysis (median age, 63 years [IQR, 57-70 years]; 44% were women). A total of 2585 (59.3%), 953 (21.8%), and 825 (18.9%) participants had mucus plugs in 0, 1 to 2, and 3 or more lung segments, respectively. During a median 9.5-year follow-up, 1769 participants (40.6%) died. The mortality rates were 34.0% (95% CI, 32.2%-35.8%), 46.7% (95% CI, 43.5%-49.9%), and 54.1% (95% CI, 50.7%-57.4%) in participants who had mucus plugs in 0, 1 to 2, and 3 or more lung segments, respectively. The presence of mucus plugs in 1 to 2 vs 0 and 3 or more vs 0 lung segments was associated with an adjusted hazard ratio of death of 1.15 (95% CI, 1.02-1.29) and 1.24 (95% CI, 1.10-1.41), respectively. Conclusions and Relevance In participants with COPD, the presence of mucus plugs that obstructed medium- to large-sized airways was associated with higher all-cause mortality compared with patients without mucus plugging on chest CT scans.
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Affiliation(s)
- Alejandro A. Diaz
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - José L. Orejas
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Scott Grumley
- Department of Radiology, University of Alabama at Birmingham
| | - Hrudaya P. Nath
- Department of Radiology, University of Alabama at Birmingham
| | - Wei Wang
- Harvard Medical School, Boston, Massachusetts
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Wojciech R. Dolliver
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Andrew Yen
- Department of Radiology, University of California, San Diego
| | - Seth J. Kligerman
- Department of Radiology, University of California, San Diego
- now with Department of Radiology, National Jewish Health, Denver, Colorado
| | - Kathleen Jacobs
- Department of Radiology, University of California, San Diego
| | | | - Mostafa Abozeed
- Department of Radiology, University of Alabama at Birmingham
| | | | - Mohd Zahid
- Department of Radiology, University of Alabama at Birmingham
| | - Asmaa N. Ahmed
- Department of Radiology, University of Alabama at Birmingham
| | - Nina L. Terry
- Department of Radiology, University of Alabama at Birmingham
| | - Ruben San José Estépar
- Harvard Medical School, Boston, Massachusetts
- Department of Radiology, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Victor Kim
- Lewis Katz School of Medicine at Temple University, Philadelphia, Pennsylvania
| | - Barry J. Make
- Division of Pulmonary, Critical Care and Sleep Medicine at National Jewish Health, Denver, Colorado
| | - MeiLan K. Han
- Division of Pulmonary and Critical Care at the University of Michigan, Ann Arbor
| | | | - George R. Washko
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Michael Cho
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Raúl San José Estépar
- Harvard Medical School, Boston, Massachusetts
- Department of Radiology, Brigham and Women’s Hospital, Boston, Massachusetts
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12
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Kızılarslanoğlu MC, Eryılmaz MA, Yortanlı BÇ, Ünal İR, Ünal BC, Baran N, Altunkeser A, Aksoy N. Pectoralis muscle index might be a factor associated with frailty in older women with breast cancer. Turk J Med Sci 2023; 53:824-834. [PMID: 37476895 PMCID: PMC10388027 DOI: 10.55730/1300-0144.5645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 04/04/2023] [Indexed: 07/22/2023] Open
Abstract
BACKGROUND To investigate the possible relationship between pectoralis muscle (PM) measurement and frailty in older women with breast cancer (BC) (preoperatively defined as stage 1, 2, and 3 diseases). METHODS This retrospective, observational study was conducted at Konya Training and Research Hospital between June and December 2020. A total of 102 patients [median age 62.5 years, median follow-up period two years] were included in the study. PM measurements were obtained from thorax computerized tomography (CT). Pectoralis muscle index (PMI) was calculated by dividing the PM area by the height square of the patients (cm2/m2). Pectoralis muscle density (PMD) was evaluated using CT findings, including their Hounsfield Units (HU). Frailty status and sarcopenia-risk assessments were done by a telephone interview in September 2020 using the FRAIL index (categorized as robust or nonrobust) and SARC-F questionnaire (classified as no sarcopenia-risk or risk of sarcopenia), respectively. PM measurements were compared between robust and nonrobust patients and between patients with a risk of sarcopenia and no sarcopenia risk. RESULTS The nonrobust patients had lower pectoralis major muscle index (PMaMI) (p = 0.041) and pectoralis major muscle density(PMaD) (p = 0.020) levels than robust patients in the whole study sample. PMI (p = 0.017) and PMaMI (p = 0.010) levels were significantly lower in the nonrobust patients than in robust patients with early-stage BC. Frailty status was positively correlated with age (rho: 0.621; p < 0.001), BC stage (rho: 0.220; p = 0.026), and SARC-F score (rho: 0.747; p < 0.001), and negatively correlated with PMaMI (rho: -0.197; p = 0.047) and PMaD (rho: -0.237; p = 0.016). There were significant associations between PMaMI (OR: 0.467, 95% Confidence Interval (CI): 0.226-0.962 p = 0.039) and PMI (OR: 0.543, 95% CI: 0.299-0.986 p = 0.045) levels with frailty status (being nonrobust) in regression models. DISCUSSION In the study, it has been shown that pectoralis muscle assessment might be a related parameter to frailty in older women with breast cancer.
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Affiliation(s)
- Muhammet Cemal Kızılarslanoğlu
- Division of Geriatrics, Department of Internal Medicine, Konya City Hospital, University of Health Sciences, Konya, Turkey
| | - M Ali Eryılmaz
- Department of General Surgery, Konya City Hospital, University of Health Sciences, Konya, Turkey
| | - Betül Çiğdem Yortanlı
- Department of Internal Medicine, Konya City Hospital, University of Health Sciences, Konya, Turkey
| | - İlknur Rahime Ünal
- Department of Internal Medicine, Konya City Hospital, University of Health Sciences, Konya, Turkey
| | - Barış Can Ünal
- Department of Internal Medicine, Konya City Hospital, University of Health Sciences, Konya, Turkey
| | - Nahide Baran
- Department of Radiology, Cihanbeyli State Hospital, Konya, Turkey
| | - Ayşegül Altunkeser
- Department of Radiology, Konya City Hospital, University of Health Sciences, Konya, Turkey
| | - Nergis Aksoy
- Department of General Surgery, Konya City Hospital, University of Health Sciences, Konya, Turkey
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13
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O'Brien ME, Zou RH, Hyre N, Leader JK, Fuhrman CR, Sciurba FC, Nouraie M, Bon J. CT pectoralis muscle area is associated with DXA lean mass and correlates with emphysema progression in a tobacco-exposed cohort. Thorax 2023; 78:394-401. [PMID: 34853157 PMCID: PMC9156725 DOI: 10.1136/thoraxjnl-2021-217710] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 11/04/2021] [Indexed: 11/04/2022]
Abstract
INTRODUCTION Muscle loss is an important extrapulmonary manifestation of COPD. Dual energy X-ray absorptiometry (DXA) is the method of choice for body composition measurement but is not widely used for muscle mass evaluation. The pectoralis muscle area (PMA) is quantifiable by CT and predicts cross-sectional COPD-related morbidity. There are no studies that compare PMA with DXA measures or that evaluate longitudinal relationships between PMA and lung disease progression. METHODS Participants from our longitudinal tobacco-exposed cohort had baseline and 6-year chest CT (n=259) and DXA (n=164) data. Emphysema was quantified by CT density histogram parenchymal scoring using the 15th percentile technique. Fat-free mass index (FFMI) and appendicular skeletal mass index (ASMI) were calculated from DXA measurements. Linear regression model relationships were reported using standardised coefficient (β) with 95% CI. RESULTS PMA was more strongly associated with DXA measures than with body mass index (BMI) in both cross-sectional (FFMI: β=0.76 (95% CI 0.65 to 0.86), p<0.001; ASMI: β=0.76 (95% CI 0.66 to 0.86), p<0.001; BMI: β=0.36 (95% CI 0.25 to 0.47), p<0.001) and longitudinal (ΔFFMI: β=0.43 (95% CI 0.28 to 0.57), p<0.001; ΔASMI: β=0.42 (95% CI 0.27 to 0.57), p<0.001; ΔBMI: β=0.34 (95% CI 0.22 to 0.46), p<0.001) models. Six-year change in PMA was associated with 6-year change in emphysema (β=0.39 (95% CI 0.23 to 0.56), p<0.001) but not with 6-year change in airflow obstruction. CONCLUSIONS PMA is an accessible measure of muscle mass and may serve as a useful clinical surrogate for assessing skeletal muscle loss in smokers. Decreased PMA correlated with emphysema progression but not lung function decline, suggesting a difference in the pathophysiology driving emphysema, airflow obstruction and comorbidity risk.
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Affiliation(s)
- Michael Emmet O'Brien
- Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Richard H Zou
- Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Nathan Hyre
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Joseph K Leader
- Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Carl R Fuhrman
- Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Frank C Sciurba
- Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Mehdi Nouraie
- Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Jessica Bon
- Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
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14
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Zhou K, Wu F, Zhao N, Zheng Y, Deng Z, Yang H, Wen X, Xiao S, Yang C, Chen S, Zhou Y, Ran P. Association of pectoralis muscle area on computed tomography with airflow limitation severity and respiratory outcomes in COPD: A population-based prospective cohort study. Pulmonology 2023:S2531-0437(23)00039-9. [PMID: 36907812 DOI: 10.1016/j.pulmoe.2023.02.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 02/08/2023] [Accepted: 02/10/2023] [Indexed: 03/12/2023] Open
Abstract
BACKGROUND Previous studies have shown that patients with chronic obstructive pulmonary disease (COPD) of severe or very severe airflow limitation have a reduced pectoralis muscle area (PMA), which is associated with mortality. However, whether patients with COPD of mild or moderate airflow limitation also have a reduced PMA remains unclear. Additionally, limited evidence is available regarding the associations between PMA and respiratory symptoms, lung function, computed tomography (CT) imaging, lung function decline, and exacerbations. Therefore, we conducted this study to evaluate the presence of PMA reduction in COPD and to clarify its associations with the referred variables. METHODS This study was based on the subjects enrolled from July 2019 to December 2020 in the Early Chronic Obstructive Pulmonary Disease (ECOPD) study. Data including questionnaire, lung function, and CT imaging were collected. The PMA was quantified on full-inspiratory CT at the aortic arch level using predefined -50 and 90 Hounsfield unit attenuation ranges. Multivariate linear regression analyses were performed to assess the association between the PMA and airflow limitation severity, respiratory symptoms, lung function, emphysema, air trapping, and the annual decline in lung function. Cox proportional hazards analysis and Poisson regression analysis were used to evaluate the PMA and exacerbations after adjustment. RESULTS We included 1352 subjects at baseline (667 with normal spirometry, 685 with spirometry-defined COPD). The PMA was monotonically lower with progressive airflow limitation severity of COPD after adjusting for confounders (vs. normal spirometry; Global Initiative for Chronic Obstructive Lung Disease [GOLD] 1: β=-1.27, P=0.028; GOLD 2: β=-2.29, P<0.001; GOLD 3: β=-4.88, P<0.001; GOLD 4: β=-6.47, P=0.014). The PMA was negatively associated with the modified British Medical Research Council dyspnea scale (β=-0.005, P=0.026), COPD Assessment Test score (β=-0.06, P=0.001), emphysema (β=-0.07, P<0.001), and air trapping (β=-0.24, P<0.001) after adjustment. The PMA was positively associated with lung function (all P<0.05). Similar associations were discovered for the pectoralis major muscle area and pectoralis minor muscle area. After the 1-year follow-up, the PMA was associated with the annual decline in the post-bronchodilator forced expiratory volume in 1 s percent of predicted value (β=0.022, P=0.002) but not with the annual rate of exacerbations or the time to first exacerbation. CONCLUSION Patients with mild or moderate airflow limitation exhibit a reduced PMA. The PMA is associated with airflow limitation severity, respiratory symptoms, lung function, emphysema, and air trapping, suggesting that PMA measurement can assist with COPD assessment.
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Affiliation(s)
- K Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - F Wu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Guangzhou Laboratory, Bio-island, Guangzhou, China
| | - N Zhao
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Y Zheng
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Z Deng
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - H Yang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - X Wen
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - S Xiao
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - C Yang
- Department of Pulmonary and Critical Care Medicine, Wengyuan County People's Hospital, Shaoguan, China
| | - S Chen
- Medical Imaging Center, Wengyuan County People's Hospital, Shaoguan, China
| | - Y Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Guangzhou Laboratory, Bio-island, Guangzhou, China.
| | - P Ran
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Guangzhou Laboratory, Bio-island, Guangzhou, China.
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Fujikawa T, Kondo S, Saito T, Inoue T, Otake K, Misu S, Sakai H, Ono R, Tomioka H. Impact of sarcopenia defined by carina-level skeletal muscle mass on the long-term prognosis of patients with idiopathic pulmonary fibrosis. Respir Med Res 2022; 82:100965. [DOI: 10.1016/j.resmer.2022.100965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 10/04/2022] [Accepted: 10/08/2022] [Indexed: 11/29/2022]
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Sato S, Muro S, Aoyama T, Hirai T. Quantitative computed tomography-based evaluation of skeletal muscle and presence of sarcopenia in patients with chronic obstructive pulmonary disease. Respir Investig 2022; 60:709-712. [PMID: 35644804 DOI: 10.1016/j.resinv.2022.04.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 04/02/2022] [Accepted: 04/24/2022] [Indexed: 06/15/2023]
Abstract
Sarcopenia, or age-related muscle loss, is a common comorbidity in patients with chronic obstructive pulmonary disease (COPD) with multiple contributing factors. We hypothesized that the presence of sarcopenia can be estimated using quantitative computed tomography-based parameters in patients with COPD. We retrospectively evaluated 38 elderly (≥65 years) men with COPD for pooled data, including hand grip strength and gait speed. Sarcopenia was diagnosed based on the updated 2019 criteria set by the Asian Working Group for Sarcopenia. Cross-sectional area of the erector spinae muscle (ESM) and pectoralis muscle (PM) were quantitatively evaluated and adjusted by height (ESM-I, and PM-I). Sarcopenia was diagnosed in 11 (29%) patients. The mean ESM-I and PM-I were 11.0 and 9.5 cm2/m2, respectively, and significantly correlated with height-adjusted appendicular skeletal muscle mass. The optimal cutoff ESM-I for the presence of sarcopenia was 9.41 cm2/m2. ESM loss helped estimate sarcopenia in patients with COPD.
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Affiliation(s)
- Susumu Sato
- Department of Respiratory Care and Sleep Control Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan; Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan.
| | - Shigeo Muro
- Department of Respiratory Medicine, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan
| | - Tomoki Aoyama
- Human Health Sciences, Graduate School of Medicine, Kyoto University, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan
| | - Toyohiro Hirai
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan
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17
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do Amaral e Castro A, Yokoo P, Fonseca EKUN, Otoni JC, Haiek SL, Shoji H, Chate RC, Pereira AZ, Queiroz MRGD, Batista MC, Szarf G. Prognostic factors of worse outcome for hospitalized COVID-19 patients, with emphasis on chest computed tomography data: a retrospective study. EINSTEIN-SAO PAULO 2022; 20:eAO6953. [PMID: 35649055 PMCID: PMC9126606 DOI: 10.31744/einstein_journal/2022ao6953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 11/16/2021] [Indexed: 11/15/2022] Open
Abstract
Objective: To evaluate anthropometric and clinical data, muscle mass, subcutaneous fat, spine bone mineral density, extent of acute pulmonary disease related to COVID-19, quantification of pulmonary emphysema, coronary calcium, and hepatic steatosis using chest computed tomography of hospitalized patients with confirmed diagnosis of COVID-19 pneumonia and verify its association with disease severity. Methods: A total of 123 adults hospitalized due to COVID-19 pneumonia were enrolled in the present study, which evaluated the anthropometric, clinical and chest computed tomography data (pectoral and paravertebral muscle area and density, subcutaneous fat, thoracic vertebral bodies density, degree of pulmonary involvement by disease, coronary calcium quantification, liver attenuation measurement) and their association with poorer prognosis characterized through a combined outcome of intubation and mechanical ventilation, need of intensive care unit, and death. Results: Age (p=0.013), body mass index (p=0.009), lymphopenia (p=0.034), and degree of pulmonary involvement of COVID-19 pneumonia (p<0.001) were associated with poor prognosis. Extent of pulmonary involvement by COVID-19 pneumonia had an odds ratio of 1,329 for a poor prognosis and a cutoff value of 6.5 for increased risk, with a sensitivity of 64.9% and specificity of 67.1%. Conclusion: The present study found an association of high body mass index, older age, extent of pulmonary involvement by COVID-19, and lymphopenia with severity of COVID-19 pneumonia in hospitalized patients.
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18
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Moon SW, Lee SH, Woo A, Leem AY, Lee SH, Chung KS, Kim EY, Jung JY, Kang YA, Park MS, Kim YS, Kim CO, Kim SY. Reference values of skeletal muscle area for diagnosis of sarcopenia using chest computed tomography in Asian general population. J Cachexia Sarcopenia Muscle 2022; 13:955-965. [PMID: 35170229 PMCID: PMC8978009 DOI: 10.1002/jcsm.12946] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 01/05/2022] [Accepted: 01/17/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Diagnostic cutoff points for sarcopenia in chest computed tomography (CT) have not been established although CT is widely used for investigating skeletal muscles. This study aimed to determine reference values for sarcopenia of thoracic skeletal muscles acquired from chest CT scans and to analyse variables related to sarcopenia using the cutoff values determined in a general Asian population. METHODS We retrospectively reviewed chest CT scans of 4470 participants (mean age 54.8 ± 9.9 years, 65.8% male) performed at a check-up centre in South Korea (January 2016-August 2017). To determine cutoffs, 335 participants aged 19-39 years (mean age 35.2 ± 3.6 years, 75.2% male) were selected as the healthy and younger reference group, and 4135 participants aged ≥40 years (mean age 56.4 ± 8.4 years, 65.1% male) were selected as the study group. We measured the following: cross-sectional area (CSA) of the pectoralis, intercostalis, paraspinal, serratus, and latissimus muscles at the 4th vertebral region (T4CSA ); T4CSA divided by height2 (T4MI); pectoralis muscle area (PMCSA ); and PMCSA divided by height2 (PMI) at the 4th vertebral region. Sarcopenia cutoff was defined as sex-specific values of less than -2 SD below the mean from the reference group. RESULTS In the reference group, T4CSA , T4MI, PMCSA , and PMI cutoffs for sarcopenia were 100.06cm2 , 33.69cm2 /m2 , 29.00cm2 , and 10.17cm2 /m2 in male, and 66.93cm2 , 26.01cm2 /m2 , 18.29cm2 , and 7.31cm2 /m2 in female, respectively. The prevalence of sarcopenia in the study group measured with T4CSA , T4MI, PMCSA and PMI cutoffs were 11.4%, 8.7%, 8.5%, and 10.1%, respectively. Correlations were observed between appendicular skeletal mass divided by height2 measured by bioelectrical impedance analysis (BIA) and T4CSA (r = 0.82; P < 0.001)/T4MI (r = 0.68; P < 0.001), and ASM/height2 measured by BIA and PMCSA (r = 0.72; P < 0.001)/PMI (r = 0.63; P < 0.001). In the multivariate logistic regression models, sarcopenia defined by T4CSA /T4MI were related to age [odds ratio (95% confidence interval), P-values: 1.09 (1.07-1.11), <0.001/1.05 (1.04-1.07), <0.001] and diabetes [1.60 (1.14-2.25), 0.007/1.47 (1.01-2.14), 0.043]. Sarcopenia defined by PMCSA /PMI were related to age [1.09 (1.08-1.10), <0.001/1.05 (1.03-1.06), <0.001], male sex [0.23 (0.18-0.30), <0.001/0.47 (0.32-0.71), <0.001], diabetes [2.30 (1.73-3.05), <0.001/1.63 (1.15-2.32), 0.007], history of cancer [2.51 (1.78-3.55), <0.001/1.61 (1.04-2.48), 0.033], and sufficient physical activity [0.67 (0.50-0.89), 0.007/0.74 (0.56-0.99), 0.042]. CONCLUSIONS The reference cutoff values of a general population reported here will enable sex-specific standardization of thoracic muscle mass quantification and sarcopenia assessment.
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Affiliation(s)
- Sung Woo Moon
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Seodaemun-gu, Korea.,Division of Geriatrics and Integrated Medicine, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Sang Hoon Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Seodaemun-gu, Korea
| | - Ala Woo
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Seodaemun-gu, Korea
| | - Ah Young Leem
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Seodaemun-gu, Korea
| | - Su Hwan Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Seodaemun-gu, Korea
| | - Kyung Soo Chung
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Seodaemun-gu, Korea
| | - Eun Young Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Seodaemun-gu, Korea
| | - Ji Ye Jung
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Seodaemun-gu, Korea
| | - Young Ae Kang
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Seodaemun-gu, Korea
| | - Moo Suk Park
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Seodaemun-gu, Korea
| | - Young Sam Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Seodaemun-gu, Korea
| | - Chang Oh Kim
- Division of Geriatrics and Integrated Medicine, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Song Yee Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Seodaemun-gu, Korea
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19
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Tanabe N, Kaji S, Shima H, Shiraishi Y, Maetani T, Oguma T, Sato S, Hirai T. Kernel Conversion for Robust Quantitative Measurements of Archived Chest Computed Tomography Using Deep Learning-Based Image-to-Image Translation. Front Artif Intell 2022; 4:769557. [PMID: 35112080 PMCID: PMC8801695 DOI: 10.3389/frai.2021.769557] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 12/23/2021] [Indexed: 01/19/2023] Open
Abstract
Chest computed tomography (CT) is used to screen for lung cancer and evaluate pulmonary and extra-pulmonary abnormalities such as emphysema and coronary artery calcification, particularly in smokers. In real-world practice, lung abnormalities are visually assessed using high-contrast thin-slice images which are generated from raw scan data using sharp reconstruction kernels with the sacrifice of increased image noise. In contrast, accurate CT quantification requires low-contrast thin-slice images with low noise, which are generated using soft reconstruction kernels. However, only sharp-kernel thin-slice images are archived in many medical facilities due to limited data storage space. This study aimed to establish deep neural network (DNN) models to convert sharp-kernel images to soft-kernel-like images with a final goal to reuse historical chest CT images for robust quantitative measurements, particularly in completed previous longitudinal studies. By using pairs of sharp-kernel (input) and soft-kernel (ground-truth) images from 30 patients with chronic obstructive pulmonary disease (COPD), DNN models were trained. Then, the accuracy of kernel conversion based on the established DNN models was evaluated using CT from independent 30 smokers with and without COPD. Consequently, differences in CT values between new images converted from sharp-kernel images using the established DNN models and ground-truth soft-kernel images were comparable with the inter-scans variability derived from repeated phantom scans (6 times), showing that the conversion error was the same level as the measurement error of the CT device. Moreover, the Dice coefficients to quantify the similarity between low attenuation voxels on given images and the ground-truth soft-kernel images were significantly higher on the DNN-converted images than the Gaussian-filtered, median-filtered, and sharp-kernel images (p < 0.001). There were good agreements in quantitative measurements of emphysema, intramuscular adipose tissue, and coronary artery calcification between the converted and the ground-truth soft-kernel images. These findings demonstrate the validity of the new DNN model for kernel conversion and the clinical applicability of soft-kernel-like images converted from archived sharp-kernel images in previous clinical studies. The presented method to evaluate the validity of the established DNN model using repeated scans of phantom could be applied to various deep learning-based image conversions for robust quantitative evaluation.
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Affiliation(s)
- Naoya Tanabe
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- *Correspondence: Naoya Tanabe
| | - Shizuo Kaji
- Institute of Mathematics for Industry, Kyushu University, Fukuoka, Japan
| | - Hiroshi Shima
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yusuke Shiraishi
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Tomoki Maetani
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Tsuyoshi Oguma
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Susumu Sato
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Toyohiro Hirai
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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20
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Lim WH, Park CM. Validation for measurements of skeletal muscle areas using low-dose chest computed tomography. Sci Rep 2022; 12:463. [PMID: 35013501 PMCID: PMC8748601 DOI: 10.1038/s41598-021-04492-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 12/23/2021] [Indexed: 11/21/2022] Open
Abstract
Various methods were suggested to measure skeletal muscle areas (SMAs) using chest low-dose computed tomography (chest LDCT) as a substitute for SMA at 3rd lumbar vertebra level (L3-SMA). In this study, four SMAs (L1-SMA, T12-erector spinae muscle areas, chest wall muscle area at carina level, pectoralis muscle area at aortic arch level) were segmented semi-automatically in 780 individuals taking concurrent chest and abdomen LDCT for healthcare screening. Four SMAs were compared to L3-SMA and annual changes were calculated from individuals with multiple examinations (n = 101). Skeletal muscle index (SMI; SMA/height2) cut-off for sarcopenia was determined by lower 5th percentile of young individuals (age ≤ 40 years). L1-SMA showed the greatest correlation to L3-SMA (men, R2 = 0.7920; women, R2 = 0.7396), and the smallest annual changes (0.3300 ± 4.7365%) among four SMAs. L1-SMI cut-offs for determining sarcopenia were 39.2cm2/m2 in men, and 27.5cm2/m2 in women. Forty-six men (9.5%) and ten women (3.4%) were found to have sarcopenia using L1-SMI cut-offs. In conclusion, L1-SMA could be a reasonable substitute for L3-SMA in chest LDCT. Suggested L1-SMI cut-offs for sarcopenia were 39.2cm2/m2 for men and 27.5cm2/m2 for women in Asian.
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Affiliation(s)
- Woo Hyeon Lim
- Department of Radiology, Namwon Medical Center, Namwon-si, Jeollabuk-do, Korea.,Department of Radiology, Seoul National University College of Medicine, 101 Daehak-ro, Chongno-gu, Seoul, 03080, Korea
| | - Chang Min Park
- Department of Radiology, Seoul National University College of Medicine, 101 Daehak-ro, Chongno-gu, Seoul, 03080, Korea. .,Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea. .,Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea. .,Institute of Medical and Biological Engineering, Medical Research Center, Seoul National University, Seoul, Korea.
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21
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Pectoralis Muscle Mass on Chest CT at Admission Predicts Prognosis in Patients with Pneumonia. Can Respir J 2021; 2021:3396950. [PMID: 34912480 PMCID: PMC8668315 DOI: 10.1155/2021/3396950] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 11/21/2021] [Indexed: 11/17/2022] Open
Abstract
Methods A retrospective cohort study was performed in patients aged 18 years or older with pneumonia who underwent chest CT within 24 hours of admission between April 2014 and March 2019. We measured the thickness, area, and volume of the pectoralis major and minor muscles at the level of the aortic arch. Factors associated with mortality were examined using logistic regression analysis. Results A total of 483 patients (mean age 77 ± 14 years, 300 men (62%)) were included, and fifty-one patients (11%) died during admission. In univariate analysis, decreased thickness, area, and volume of the pectoralis major and minor muscles were associated with higher in-hospital mortality. Multivariate analysis with adjustment for age, gender, serum albumin, and A-DROP revealed that thinner pectoralis major and minor muscles were independent factors of poor prognosis (odds ratio: 0.878, 95% confidence interval (CI): 0.783-0.985, P=0.026 and odds ratio: 0.842, 95% CI: 0.733-0.968, P=0.016, respectively). Approximately 25% of the patients died when the pectoralis minor muscle thickness was 5 mm or less, and no patients died when it was 15 mm or more. Conclusion The pectoralis muscle mass may be an independent prognostic factor in hospitalized patients with pneumonia.
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22
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Rouget A, Vardon-Bounes F, Lorber P, Vavasseur A, Marion O, Marcheix B, Lairez O, Balardy L, Fourcade O, Conil JM, Minville V. Prevalence of malnutrition in coronavirus disease 19: the NUTRICOV study. Br J Nutr 2021; 126:1296-1303. [PMID: 33342449 PMCID: PMC7853739 DOI: 10.1017/s0007114520005127] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 11/16/2020] [Accepted: 12/09/2020] [Indexed: 01/08/2023]
Abstract
Recent European Society of Parenteral and Enteral Nutrition guidelines highlighted the interest of prevention, diagnosis and treatment of malnutrition in the management of coronavirus disease 19 (COVID-19) patients. The aim of our study was to evaluate the prevalence of malnutrition in patients hospitalised for COVID-19. In a prospective observational cohort study malnutrition was diagnosed according to the Global Leadership Initiative on Malnutrition (GLIM) two-step approach. Patients were divided into two groups according to the diagnosis of malnutrition. Covariate selection for the multivariate analysis was based on P <0·2 in univariate analysis, with a logistic regression model and a backward elimination procedure. A partitioning of the population was realised. Eighty patients were prospectively enrolled. Thirty patients (37·5 %) had criteria for malnutrition. The need for intensive care unit admission (n 46, 57·5 %) was similar in the two groups. Three patients who died (3·75 %) were malnourished. Multivariate analysis exhibited that low BMI (OR 0·83, 95 % CI 0·73, 0·96, P = 0·0083), dyslipidaemia (OR 29·45, 95 % CI 3·12, 277·73, P = 0·0031), oral intake reduction <50 % (OR 3·169, 95 % CI 1·04, 9·64, P = 0·0422) and glomerular filtration rate (Chronic Kidney Disease Epidemiology Collaboration; CKD-EPI) at admission (OR 0·979, 95 % CI 0·96, 0·998, P = 0·0297) were associated with the occurrence of malnutrition. We demonstrate the existence of a high prevalence of malnutrition in a general cohort of COVID-19 inpatients according to GLIM criteria. Nutritional support in COVID-19 care seems an essential element.
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Affiliation(s)
- Antoine Rouget
- Department of Anesthesiology and Critical Care Unit, CHU Toulouse Rangueil, 1 av du Pr Jean Poulhès, 31400Toulouse, France
| | - Fanny Vardon-Bounes
- Department of Anesthesiology and Critical Care Unit, CHU Toulouse Rangueil, 1 av du Pr Jean Poulhès, 31400Toulouse, France
- INSERM UMR 1048, Institut des maladies métaboliques et cardiovasculaires, CHU Toulouse, 1 av du Pr Jean Poulhès, 31400Toulouse, France
| | - Pierre Lorber
- Department of Anesthesiology and Critical Care Unit, CHU Toulouse Rangueil, 1 av du Pr Jean Poulhès, 31400Toulouse, France
| | - Adrien Vavasseur
- Department of Radiology, CHU Toulouse Rangueil, 1 av du Pr J Poulhès, 31400Toulouse, France
| | - Olivier Marion
- Department of Nephrology and Organ Transplant, CHU Toulouse Rangueil, 1 av du Pr Jean Poulhès, 31400Toulouse, France
| | - Bertrand Marcheix
- Department of Cardiac Surgery, CHU Toulouse Rangueil, 1 av du Pr Jean Poulhès, 31400Toulouse, France
| | - Olivier Lairez
- INSERM UMR 1048, Institut des maladies métaboliques et cardiovasculaires, CHU Toulouse, 1 av du Pr Jean Poulhès, 31400Toulouse, France
- Department of Cardiology, CHU Toulouse Rangueil, 1 av du Pr Jean Poulhès, 31400Toulouse, France
| | - Laurent Balardy
- Department of Geriatric Medicine, CHU Toulouse Purpan, Place du Dr Baylac, 31000Toulouse, France
| | - Olivier Fourcade
- Department of Anesthesiology and Critical Care Unit, CHU Toulouse Rangueil, 1 av du Pr Jean Poulhès, 31400Toulouse, France
| | - Jean-Marie Conil
- Department of Anesthesiology and Critical Care Unit, CHU Toulouse Rangueil, 1 av du Pr Jean Poulhès, 31400Toulouse, France
| | - Vincent Minville
- Department of Anesthesiology and Critical Care Unit, CHU Toulouse Rangueil, 1 av du Pr Jean Poulhès, 31400Toulouse, France
- INSERM UMR 1048, Institut des maladies métaboliques et cardiovasculaires, CHU Toulouse, 1 av du Pr Jean Poulhès, 31400Toulouse, France
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23
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Mason SE, Moreta-Martinez R, Labaki WW, Strand MJ, Regan EA, Bon J, San Jose Estepar R, Casaburi R, McDonald ML, Rossiter HB, Make B, Dransfield MT, Han MK, Young K, Curtis JL, Stringer K, Kinney G, Hokanson JE, San Jose Estepar R, Washko GR. Longitudinal association between muscle loss and mortality in ever-smokers. Chest 2021; 161:960-970. [PMID: 34785234 DOI: 10.1016/j.chest.2021.10.047] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 09/25/2021] [Accepted: 10/23/2021] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Body composition measures, specifically low weight or reduced muscle mass, are associated with mortality in chronic obstructive pulmonary disease (COPD), but the effect of longitudinal body composition changes is undefined. RESEARCH QUESTION Is the longitudinal loss of fat-free mass (FFM) associated with increased mortality including in those with initially normal or elevated body composition metrics? STUDY DESIGN AND METHODS Participants with complete data for at least one visit in the COPDGene (n=9,268) and ECLIPSE studies (1,760) were included and followed for 12 and 8 years, respectively. Pectoralis muscle area (PMA) was derived from thoracic CT scans and used as a proxy for FFM. A longitudinal mixed sub-model for PMA and a Cox proportional hazards sub-model for survival were fitted on a joint distribution using a shared random intercept parameter and Markov chain Monte Carlo parameter estimation. RESULTS Both cohorts demonstrated a left shifted distribution of baseline FFM, not reflected in BMI, and an increase in all-cause mortality risk associated with longitudinal loss of PMA. For each one cm2 PMA loss, mortality increased 3.1% (95% CI 2.4, 3.7, p<0.001) in COPDGene, and 2.4% (95% CI 0.9, 4.0, p<0.001) in ECLIPSE. Increased mortality risk was independent of enrollment values for BMI and disease severity (BODE index quartiles) and was significant even in participants with initially greater than average PMA. INTERPRETATION Longitudinal loss of PMA is associated with increased all-cause mortality, regardless of BMI or initial muscle mass. Consideration of novel screening tests and further research into mechanisms contributing to muscle decline may improve risk stratification and identify novel therapeutic targets in ever-smokers.
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Affiliation(s)
- Stefanie E Mason
- Department of Medicine, Division of Pulmonary and Critical Care, Brigham and Women's Hospital, Boston MA.
| | | | - Wassim W Labaki
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor MI
| | - Matthew J Strand
- Division of Biostatistics and Bioinformatics, National Jewish Health, Denver CO
| | - Elizabeth A Regan
- Department of Medicine, Division of Rheumatology, National Jewish Health, Denver CO
| | - Jessica Bon
- Department of Medicine, Division of Pulmonary, Allergy and Critical Care, Pittsburgh PA; VA Pittsburgh Healthcare System, Pittsburgh, PA
| | | | - Richard Casaburi
- Rehabilitation Clinical Trials Center, Division of Pulmonary and Critical Care Physiology and Medicine, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance CA
| | - Merry-Lynn McDonald
- Department of Medicine, Division of Pulmonary, Allergy, and Critical Care, University of Alabama at Birmingham, Birmingham AL
| | - Harry B Rossiter
- Rehabilitation Clinical Trials Center, Division of Pulmonary and Critical Care Physiology and Medicine, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance CA
| | - Barry Make
- Department of Medicine, Division of Pulmonary, Critical Care, and Sleep Medicine, National Jewish Health, Denver CO
| | - Mark T Dransfield
- Department of Medicine, Division of Pulmonary, Allergy, and Critical Care, University of Alabama at Birmingham, Birmingham AL
| | - MeiLan K Han
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor MI
| | - Kendra Young
- Department of Epidemiology, Colorado School of Public Health, Aurora CO
| | - Jeffrey L Curtis
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor MI; Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, MI
| | - Kathleen Stringer
- Department of Clinical Sciences, University of Michigan College of Pharmacy, Ann Arbor, MI
| | - Greg Kinney
- Department of Epidemiology, Colorado School of Public Health, Aurora CO
| | - John E Hokanson
- Department of Epidemiology, Colorado School of Public Health, Aurora CO
| | | | - George R Washko
- Department of Medicine, Division of Pulmonary and Critical Care, Brigham and Women's Hospital, Boston MA
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24
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Chen J, Jiang C, Zheng Y, Zhao D, Wu F, Zhao Z, Zhao J, Li Q, Li B, Peng G, Zhou Y, Ran P. Lung Features in Individuals with Biomass Smoke Exposure Characterized by CT Scan and Changes in Pulmonary Function. Int J Chron Obstruct Pulmon Dis 2021; 16:2575-2584. [PMID: 34531653 PMCID: PMC8439982 DOI: 10.2147/copd.s325330] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 09/03/2021] [Indexed: 11/25/2022] Open
Abstract
Background and Objective To determine the effects of BSE (biomass smoke exposure) on pulmonary and non-pulmonary changes in patients with COPD compared with normal individuals. Methods Using a cohort, we recruited 16 healthy individuals with BSE (BSE normal), 19 patients with BSE+COPD, 13 healthy individuals with cigarette smoke exposure (CSE normal), 25 patients with CSE+COPD, and 25 healthy controls. Patients with GOLD stage I and II COPD were included. Baseline data (demographic data, BSE or CSE, lung function, and CT findings) and follow-up lung function data were collected. CT parameters of emphysema, pulmonary small vessels, airway remodeling, pectoralis muscles, and erector spinae muscle were measured. Results Individuals with BSE were mainly women (32/35, 91.43%). Compared with the CSE+COPD group, the BSE+COPD group demonstrated slower lung function decline, increased lower lung emphysema, narrower airway lumen dimensions and increased airway wall thickening in the moderate and small airways (all P<0.05). Compared with healthy controls, the CSE normal and BSE normal groups exhibited significant reductions in pulmonary small vessel area and obvious airway remodeling in small airways (P<0.05). Compared with the BSE normal group, the BSE+COPD group showed significantly more severe emphysema and airway remodeling, as well as reduced left pectoralis major muscle area (all P<0.05). Conclusion Healthy individuals with BSE had reduced pulmonary small vessel area and evidence of airway remodeling; patients with BSE and COPD showed more severe emphysema, airway remodeling, and reductions in pectoralis major muscle area. Clinical Trial Registration ChiCTR-OO-14004264.
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Affiliation(s)
- Jinglong Chen
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, People's Republic of China.,Department of Geriatrics, National Clinical Key Specialty, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, 510180, People's Republic of China
| | - Changbin Jiang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, People's Republic of China
| | - Youlan Zheng
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, People's Republic of China
| | - Dongxing Zhao
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, People's Republic of China
| | - Fan Wu
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, People's Republic of China
| | - Zhuxiang Zhao
- The Pulmonary Medicine, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, People's Republic of China
| | - Jun Zhao
- Department of Geriatrics, National Clinical Key Specialty, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, 510180, People's Republic of China
| | - Qing Li
- Department of Geriatrics, National Clinical Key Specialty, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, 510180, People's Republic of China
| | - Bing Li
- GMU-GIBH Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, 511436, People's Republic of China
| | - Gongyong Peng
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, People's Republic of China
| | - Yumin Zhou
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, People's Republic of China
| | - Pixin Ran
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, People's Republic of China
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Molgat-Seon Y, Guler SA, Peters CM, Vasilescu DM, Puyat JH, Coxson HO, Ryerson CJ, Guenette JA. Pectoralis muscle area and its association with indices of disease severity in interstitial lung disease. Respir Med 2021; 186:106539. [PMID: 34271524 DOI: 10.1016/j.rmed.2021.106539] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 06/09/2021] [Accepted: 07/06/2021] [Indexed: 01/31/2023]
Abstract
RATIONALE The pathophysiology of interstitial lung disease (ILD) impacts body composition, whereby ILD severity is linked to lower lean mass. OBJECTIVES To determine i) if pectoralis muscle area (PMA) is a surrogate for whole-body lean mass in ILD, ii) whether PMA is associated with ILD severity, and iii) if the longitudinal change in PMA is associated with pulmonary function and mortality in ILD. METHODS Patients with ILD (n = 164) were analyzed retrospectively. PMA was quantified from a chest computed tomography scan. Peripheral oxygen saturation (SpO2), 6-min walk distance (6MWD), and pulmonary function were obtained as part of routine clinical care. Dyspnea and quality of life were assessed using the UCSD Shortness of Breath Questionnaire and European Quality of Life 5 Dimensions questionnaire, respectively. RESULTS PMA was associated with whole-body lean mass (p < 0.001). After adjusting for age, sex, height, body mass, and prednisone status, PMA was associated with %-predicted forced vital capacity (FVC), %-predicted diffusion capacity (DLCO), resting and exertional SpO2, and dyspnea (all p < 0.05), but not forced expiratory volume in 1 s (FEV1), FEV1/FVC, 6MWD, or quality of life (all p > 0.05). The annual negative PMA slope was associated with annual negative slopes in FVC, FEV1, and DLCO (all p < 0.05), but not FEV1/FVC (p = 0.46). Annual slope in PMA was associated with all-cause mortality (hazard ratio = -0.80, 95% CI:0.889-0.959; p < 0.001). CONCLUSION In patients with ILD, PMA is a suitable surrogate for whole-body lean mass. A lower PMA is associated with indices of ILD severity, which supports the notion that ILD progression may involve sarcopenia.
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Affiliation(s)
- Yannick Molgat-Seon
- Centre for Heart Lung Innovation, St. Paul's Hospital, 166-1081 Burrard Street, Vancouver, British Columbia, V6Z 1Y6, Canada; Department of Physical Therapy, Faculty of Medicine, The University of British Columbia, 2177 Wesbrook Mall, Vancouver, British Columbia, V6T 1Z3, Canada
| | - Sabina A Guler
- Department of Pulmonary Medicine, University Hospital and University of Bern, Murtenstrasse 50, 3008, Bern, Switzerland
| | - Carli M Peters
- School of Kinesiology, Faculty of Education, The University of British Columbia, 6081 University Boulevard, Vancouver, British Columbia, V6T 1Z1, Canada
| | - Dragoş M Vasilescu
- Centre for Heart Lung Innovation, St. Paul's Hospital, 166-1081 Burrard Street, Vancouver, British Columbia, V6Z 1Y6, Canada
| | - Joseph H Puyat
- School of Population and Public Health, Faculty of Medicine, The University of British Columbia, 2206 East Mall, Vancouver, British Columbia, V6T 1Z3, Canada; Centre for Health Evaluation and Outcome Sciences, St. Paul's Hospital, 588-1081 Burrard Street, Vancouver, British Columbia, V6Z 1Y6, Canada
| | - Harvey O Coxson
- Centre for Heart Lung Innovation, St. Paul's Hospital, 166-1081 Burrard Street, Vancouver, British Columbia, V6Z 1Y6, Canada
| | - Christopher J Ryerson
- Centre for Heart Lung Innovation, St. Paul's Hospital, 166-1081 Burrard Street, Vancouver, British Columbia, V6Z 1Y6, Canada; Division of Respiratory Medicine, Faculty of Medicine, The University of British Columbia, 2775 Laurel Street, Vancouver, British Columbia, V5Z 1M9, Canada
| | - Jordan A Guenette
- Centre for Heart Lung Innovation, St. Paul's Hospital, 166-1081 Burrard Street, Vancouver, British Columbia, V6Z 1Y6, Canada; Department of Physical Therapy, Faculty of Medicine, The University of British Columbia, 2177 Wesbrook Mall, Vancouver, British Columbia, V6T 1Z3, Canada; School of Kinesiology, Faculty of Education, The University of British Columbia, 6081 University Boulevard, Vancouver, British Columbia, V6T 1Z1, Canada; Division of Respiratory Medicine, Faculty of Medicine, The University of British Columbia, 2775 Laurel Street, Vancouver, British Columbia, V5Z 1M9, Canada.
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26
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Besutti G, Pellegrini M, Ottone M, Cantini M, Milic J, Bonelli E, Dolci G, Cassone G, Ligabue G, Spaggiari L, Pattacini P, Fasano T, Canovi S, Massari M, Salvarani C, Guaraldi G, Rossi PG. The impact of chest CT body composition parameters on clinical outcomes in COVID-19 patients. PLoS One 2021; 16:e0251768. [PMID: 33989341 PMCID: PMC8121324 DOI: 10.1371/journal.pone.0251768] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Accepted: 05/02/2021] [Indexed: 01/08/2023] Open
Abstract
We assessed the impact of chest CT body composition parameters on outcomes and disease severity at hospital presentation of COVID-19 patients, focusing also on the possible mediation of body composition in the relationship between age and death in these patients. Chest CT scans performed at hospital presentation by consecutive COVID-19 patients (02/27/2020-03/13/2020) were retrospectively reviewed to obtain pectoralis muscle density and total, visceral, and intermuscular adipose tissue areas (TAT, VAT, IMAT) at the level of T7-T8 vertebrae. Primary outcomes were: hospitalization, mechanical ventilation (MV) and/or death, death alone. Secondary outcomes were: C-reactive protein (CRP), oxygen saturation (SO2), CT disease extension at hospital presentation. The mediation of body composition in the effect of age on death was explored. Of the 318 patients included in the study (median age 65.7 years, females 37.7%), 205 (64.5%) were hospitalized, 68 (21.4%) needed MV, and 58 (18.2%) died. Increased muscle density was a protective factor while increased TAT, VAT, and IMAT were risk factors for hospitalization and MV/death. All these parameters except TAT had borderline effects on death alone. All parameters were associated with SO2 and extension of lung parenchymal involvement at CT; VAT was associated with CRP. Approximately 3% of the effect of age on death was mediated by decreased muscle density. In conclusion, low muscle quality and ectopic fat accumulation were associated with COVID-19 outcomes, VAT was associated with baseline inflammation. Low muscle quality partly mediated the effect of age on mortality.
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Affiliation(s)
- Giulia Besutti
- Radiology Unit, Azienda USL–IRCCS di Reggio Emilia, Reggio Emilia, Italy
- Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy
| | - Massimo Pellegrini
- Clinical Nutrition Unit, Azienda USL–IRCCS di Reggio Emilia, Reggio Emilia, Italy
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
- * E-mail:
| | - Marta Ottone
- Epidemiology Unit, Azienda USL–IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Michele Cantini
- Modena HIV Metabolic Clinic, University of Modena and Reggio Emilia, Modena, Italy
| | - Jovana Milic
- Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy
- Modena HIV Metabolic Clinic, University of Modena and Reggio Emilia, Modena, Italy
| | - Efrem Bonelli
- Radiology Unit, Azienda USL–IRCCS di Reggio Emilia, Reggio Emilia, Italy
- Department of Diagnostic Imaging and Laboratory Medicine, Clinical Chemistry and Endocrinology Laboratory, Azienda USL–IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Giovanni Dolci
- Infectious Disease Unit, Azienda USL–IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Giulia Cassone
- Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy
- Rheumatology Unit, Azienda USL–IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Guido Ligabue
- Radiology Unit, Azienda Ospedaliero-Universitaria di Modena, University of Modena and Reggio Emilia, Modena, Italy
| | - Lucia Spaggiari
- Radiology Unit, Azienda USL–IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | | | - Tommaso Fasano
- Department of Diagnostic Imaging and Laboratory Medicine, Clinical Chemistry and Endocrinology Laboratory, Azienda USL–IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Simone Canovi
- Department of Diagnostic Imaging and Laboratory Medicine, Clinical Chemistry and Endocrinology Laboratory, Azienda USL–IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Marco Massari
- Infectious Disease Unit, Azienda USL–IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Carlo Salvarani
- Rheumatology Unit, Azienda USL–IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Giovanni Guaraldi
- Modena HIV Metabolic Clinic, University of Modena and Reggio Emilia, Modena, Italy
| | - Paolo Giorgi Rossi
- Epidemiology Unit, Azienda USL–IRCCS di Reggio Emilia, Reggio Emilia, Italy
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Tanaka A, Komiya K, Yamasue M, Ando Y, Takeno Y, Takikawa S, Hiramatsu K, Kadota JI. Quantitative assessment of the association between erector spinae muscle and in-hospital mortality in elderly patients with pulmonary tuberculosis. BMC Res Notes 2021; 14:134. [PMID: 33849637 PMCID: PMC8042463 DOI: 10.1186/s13104-021-05546-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 03/26/2021] [Indexed: 12/26/2022] Open
Abstract
Objective Skeletal muscle size is considered a predictor of prognosis in patients with respiratory diseases including Mycobacterium avium complex lung disease. However, no research focused on its impact on prognosis in patients with pulmonary tuberculosis (TB). Thus, this study aimed to assess the association between erector spinae muscle (ESM) size and in-hospital mortality among patients with pulmonary TB. Results We retrospectively included 258 consecutive patients aged over 65 years old, who were admitted to the hospital for bacteriologically confirmed pulmonary TB, and all underwent chest computed tomography (CT) scan upon admission. The cross-sectional area of the ESM (ESMcsa) was measured at the lower margin of the 12th thoracic vertebra on a single-slice CT scan image and was adjusted according to body surface area (BSA). In total, 71 (28%) patients died during hospitalization. The non-survivor group had a high incidence of respiratory failure and comorbidities and lower hemoglobin and albumin levels, performance status score, and ESMcsa/BSA. Multivariate analysis revealed that low performance status score and hemoglobin and albumin levels, but not ESMcsa/BSA and body mass index, could independently predict in-hospital mortality after adjusting for age and comorbidities. Therefore, ESM size was not associated with in-hospital mortality in patients with pulmonary TB.
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Affiliation(s)
- Ai Tanaka
- Department of Internal Medicine, National Hospital Organization Nishi-Beppu Hospital, 4548 Tsurumi, Beppu, Oita, 874-0840, Japan.,Department of Respiratory Medicine and Infectious Diseases, Oita University Faculty of Medicine, 1-1 Idaigaoka, Hasama-machi, Yufu, Oita, 879-5593, Japan
| | - Kosaku Komiya
- Department of Internal Medicine, National Hospital Organization Nishi-Beppu Hospital, 4548 Tsurumi, Beppu, Oita, 874-0840, Japan. .,Department of Respiratory Medicine and Infectious Diseases, Oita University Faculty of Medicine, 1-1 Idaigaoka, Hasama-machi, Yufu, Oita, 879-5593, Japan.
| | - Mari Yamasue
- Department of Internal Medicine, National Hospital Organization Nishi-Beppu Hospital, 4548 Tsurumi, Beppu, Oita, 874-0840, Japan.,Department of Respiratory Medicine and Infectious Diseases, Oita University Faculty of Medicine, 1-1 Idaigaoka, Hasama-machi, Yufu, Oita, 879-5593, Japan
| | - Yumiko Ando
- Department of Radiology, National Hospital Organization Nishi-Beppu Hospital, 4548 Tsurumi, , Beppu, Oita, 874-0840, Japan
| | - Yukiko Takeno
- Department of Internal Medicine, National Hospital Organization Nishi-Beppu Hospital, 4548 Tsurumi, Beppu, Oita, 874-0840, Japan.,Department of Respiratory Medicine and Infectious Diseases, Oita University Faculty of Medicine, 1-1 Idaigaoka, Hasama-machi, Yufu, Oita, 879-5593, Japan
| | - Shuichi Takikawa
- Department of Internal Medicine, National Hospital Organization Nishi-Beppu Hospital, 4548 Tsurumi, Beppu, Oita, 874-0840, Japan
| | - Kazufumi Hiramatsu
- Department of Respiratory Medicine and Infectious Diseases, Oita University Faculty of Medicine, 1-1 Idaigaoka, Hasama-machi, Yufu, Oita, 879-5593, Japan
| | - Jun-Ichi Kadota
- Department of Respiratory Medicine and Infectious Diseases, Oita University Faculty of Medicine, 1-1 Idaigaoka, Hasama-machi, Yufu, Oita, 879-5593, Japan
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Pishgar F, Shabani M, Quinaglia A C Silva T, Bluemke DA, Budoff M, Barr RG, Allison MA, Post WS, Lima JAC, Demehri S. Quantitative Analysis of Adipose Depots by Using Chest CT and Associations with All-Cause Mortality in Chronic Obstructive Pulmonary Disease: Longitudinal Analysis from MESArthritis Ancillary Study. Radiology 2021; 299:703-711. [PMID: 33825508 DOI: 10.1148/radiol.2021203959] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Background Obesity and sarcopenia are associated with mortality in chronic obstructive pulmonary disease (COPD). Routine chest CT examinations may allow assessment of obesity and sarcopenia by soft-tissue markers for predicting risks of mortality. Purpose To investigate associations between soft-tissue markers subcutaneous adipose tissue (SAT), intermuscular adipose tissue (IMAT), and pectoralis muscle (PM) index from chest CT with mortality in participants with COPD. Materials and Methods In this secondary analysis of a prospectively enrolled cohort from the Multi-Ethnic Study of Atherosclerosis, participants with available chest CT in 2010-2012 were included. CT examinations were analyzed to determine SAT, IMAT (within PM), and PM areas. The spirometry evaluations were used to establish COPD diagnosis. Mortality data were extracted from the National Death Index (April 2010 to December 2017). The correlations of the soft-tissue markers with fat mass index were studied. The associations of these markers and risks of mortality in participants with COPD were assessed by using Cox proportional-hazard models adjusted for confounders. Results Among 2994 participants who were included (mean age, 69 years ± 9 [standard deviation]; 1551 women), 265 had COPD (9%; mean age, 72 years ± 9; 162 men) and 49 participants with COPD (18%) died during follow-up. The SAT, IMAT, and PM areas had moderate-to-excellent reliabilities (intraclass correlation coefficient, 0.88-0.99). In the 2994 participants, the SAT (ρ = 0.80; 95% CI: 0.78, 0.81; P < .001) and IMAT indexes (ρ = 0.37; 95% CI: 0.34, 0.41; P < .001) were correlated with fat mass index. Those with COPD and higher SAT index had lower risks of mortality (hazard ratio, 0.2; 95% CI: 0.1, 0.4; P < .001, per doubling), whereas a higher IMAT index was associated with a higher risk of mortality (hazard ratio, 1.4; 95% CI: 1.0, 1.9; P = .04, per doubling). Conclusion Soft-tissue markers were reliably obtained by using chest CT performed for lung assessment. In participants with chronic obstructive pulmonary disease, a high intermuscular adipose tissue index was associated with a higher risk of mortality than was a high subcutaneous adipose tissue index. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Sverzellati and Cademartiri in this issue.
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Affiliation(s)
- Farhad Pishgar
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 3171c, Baltimore, MD 21287 (F.P., S.D.); Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (M.S., T.Q.A.C.S., W.S.P., J.A.C.L.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (D.A.B.); Lundquist Institute at Harbor-University of California Los Angeles School of Medicine, Torrance, Calif (M.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); and Division of Preventive Medicine, Department of Family Medicine and Public Health, University of Calif San Diego, La Jolla, Calif (M.A.A.)
| | - Mahsima Shabani
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 3171c, Baltimore, MD 21287 (F.P., S.D.); Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (M.S., T.Q.A.C.S., W.S.P., J.A.C.L.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (D.A.B.); Lundquist Institute at Harbor-University of California Los Angeles School of Medicine, Torrance, Calif (M.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); and Division of Preventive Medicine, Department of Family Medicine and Public Health, University of Calif San Diego, La Jolla, Calif (M.A.A.)
| | - Thiago Quinaglia A C Silva
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 3171c, Baltimore, MD 21287 (F.P., S.D.); Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (M.S., T.Q.A.C.S., W.S.P., J.A.C.L.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (D.A.B.); Lundquist Institute at Harbor-University of California Los Angeles School of Medicine, Torrance, Calif (M.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); and Division of Preventive Medicine, Department of Family Medicine and Public Health, University of Calif San Diego, La Jolla, Calif (M.A.A.)
| | - David A Bluemke
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 3171c, Baltimore, MD 21287 (F.P., S.D.); Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (M.S., T.Q.A.C.S., W.S.P., J.A.C.L.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (D.A.B.); Lundquist Institute at Harbor-University of California Los Angeles School of Medicine, Torrance, Calif (M.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); and Division of Preventive Medicine, Department of Family Medicine and Public Health, University of Calif San Diego, La Jolla, Calif (M.A.A.)
| | - Matthew Budoff
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 3171c, Baltimore, MD 21287 (F.P., S.D.); Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (M.S., T.Q.A.C.S., W.S.P., J.A.C.L.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (D.A.B.); Lundquist Institute at Harbor-University of California Los Angeles School of Medicine, Torrance, Calif (M.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); and Division of Preventive Medicine, Department of Family Medicine and Public Health, University of Calif San Diego, La Jolla, Calif (M.A.A.)
| | - R Graham Barr
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 3171c, Baltimore, MD 21287 (F.P., S.D.); Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (M.S., T.Q.A.C.S., W.S.P., J.A.C.L.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (D.A.B.); Lundquist Institute at Harbor-University of California Los Angeles School of Medicine, Torrance, Calif (M.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); and Division of Preventive Medicine, Department of Family Medicine and Public Health, University of Calif San Diego, La Jolla, Calif (M.A.A.)
| | - Matthew A Allison
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 3171c, Baltimore, MD 21287 (F.P., S.D.); Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (M.S., T.Q.A.C.S., W.S.P., J.A.C.L.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (D.A.B.); Lundquist Institute at Harbor-University of California Los Angeles School of Medicine, Torrance, Calif (M.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); and Division of Preventive Medicine, Department of Family Medicine and Public Health, University of Calif San Diego, La Jolla, Calif (M.A.A.)
| | - Wendy S Post
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 3171c, Baltimore, MD 21287 (F.P., S.D.); Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (M.S., T.Q.A.C.S., W.S.P., J.A.C.L.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (D.A.B.); Lundquist Institute at Harbor-University of California Los Angeles School of Medicine, Torrance, Calif (M.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); and Division of Preventive Medicine, Department of Family Medicine and Public Health, University of Calif San Diego, La Jolla, Calif (M.A.A.)
| | - João A C Lima
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 3171c, Baltimore, MD 21287 (F.P., S.D.); Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (M.S., T.Q.A.C.S., W.S.P., J.A.C.L.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (D.A.B.); Lundquist Institute at Harbor-University of California Los Angeles School of Medicine, Torrance, Calif (M.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); and Division of Preventive Medicine, Department of Family Medicine and Public Health, University of Calif San Diego, La Jolla, Calif (M.A.A.)
| | - Shadpour Demehri
- From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 3171c, Baltimore, MD 21287 (F.P., S.D.); Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (M.S., T.Q.A.C.S., W.S.P., J.A.C.L.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (D.A.B.); Lundquist Institute at Harbor-University of California Los Angeles School of Medicine, Torrance, Calif (M.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); and Division of Preventive Medicine, Department of Family Medicine and Public Health, University of Calif San Diego, La Jolla, Calif (M.A.A.)
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Yoshikawa H, Komiya K, Yamamoto T, Fujita N, Oka H, Okabe E, Yamasue M, Umeki K, Rubin BK, Hiramatsu K, Kadota JI. Quantitative assessment of erector spinae muscles and prognosis in elderly patients with pneumonia. Sci Rep 2021; 11:4319. [PMID: 33619334 PMCID: PMC7900176 DOI: 10.1038/s41598-021-83995-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 02/05/2021] [Indexed: 11/09/2022] Open
Abstract
Erector spinae muscle (ESM) size has been reported as a predictor of prognosis in patients with some respiratory diseases. This study aimed to assess the association of ESM size on all-cause in-hospital mortality among elderly patients with pneumonia. We retrospectively included patients (age: ≥ 65 years) admitted to hospital from January 2015 to December 2017 for community-acquired pneumonia who underwent chest computed tomography (CT) on admission. The cross-sectional area of the ESM (ESMcsa) was measured on a single-slice CT image at the end of the 12th thoracic vertebra and adjusted by body surface area (BSA). Cox proportional hazards regression models were used to assess the influence of ESMcsa/BSA on in-hospital mortality. Among 736 patients who were admitted for pneumonia, 702 patients (95%) underwent chest CT. Of those, 689 patients (98%) for whom height and weight were measured to calculate BSA were included in this study. Patients in the non-survivor group were significantly older, had a greater frequency of respiratory failure, loss of consciousness, lower body mass index, hemoglobin, albumin, and ESMcsa/BSA. Multivariate analysis showed that a lower ESMcsa/BSA independently predicted in-hospital mortality after adjusting for these variables. In elderly patients with pneumonia, quantification of ESMcsa/BSA may be associated with in-hospital mortality.
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Affiliation(s)
- Hiroki Yoshikawa
- Department of Respiratory Medicine and Infectious Diseases, Oita University Faculty of Medicine, 1-1 Idaigaoka, Hasama-machi, Yufu, Oita, 879-5593, Japan.,Department of Internal Medicine, Tenshindo Hetsugi Hospital, 5956 Nihongi, Nakahetsugi, Oita, Oita, 879-7761, Japan.,Department of Pediatrics, Virginia Commonwealth University School of Medicine, 1217 East Marshall Street, KMSB, Room 215, Richmond, VA, 23298, USA
| | - Kosaku Komiya
- Department of Respiratory Medicine and Infectious Diseases, Oita University Faculty of Medicine, 1-1 Idaigaoka, Hasama-machi, Yufu, Oita, 879-5593, Japan. .,Department of Internal Medicine, Tenshindo Hetsugi Hospital, 5956 Nihongi, Nakahetsugi, Oita, Oita, 879-7761, Japan.
| | - Takashi Yamamoto
- Department of Internal Medicine, Tenshindo Hetsugi Hospital, 5956 Nihongi, Nakahetsugi, Oita, Oita, 879-7761, Japan
| | - Naoko Fujita
- Department of Internal Medicine, Tenshindo Hetsugi Hospital, 5956 Nihongi, Nakahetsugi, Oita, Oita, 879-7761, Japan
| | - Hiroaki Oka
- Department of Internal Medicine, Tenshindo Hetsugi Hospital, 5956 Nihongi, Nakahetsugi, Oita, Oita, 879-7761, Japan
| | - Eiji Okabe
- Department of Internal Medicine, Tenshindo Hetsugi Hospital, 5956 Nihongi, Nakahetsugi, Oita, Oita, 879-7761, Japan
| | - Mari Yamasue
- Department of Respiratory Medicine and Infectious Diseases, Oita University Faculty of Medicine, 1-1 Idaigaoka, Hasama-machi, Yufu, Oita, 879-5593, Japan
| | - Kenji Umeki
- Department of Respiratory Medicine and Infectious Diseases, Oita University Faculty of Medicine, 1-1 Idaigaoka, Hasama-machi, Yufu, Oita, 879-5593, Japan
| | - Bruce K Rubin
- Department of Pediatrics, Virginia Commonwealth University School of Medicine, 1217 East Marshall Street, KMSB, Room 215, Richmond, VA, 23298, USA
| | - Kazufumi Hiramatsu
- Department of Medical Safety Management, Oita University Faculty of Medicine, 1-1 Idaigaoka, Hasama-machi, Yufu, Oita, 879-5593, Japan
| | - Jun-Ichi Kadota
- Department of Respiratory Medicine and Infectious Diseases, Oita University Faculty of Medicine, 1-1 Idaigaoka, Hasama-machi, Yufu, Oita, 879-5593, Japan.,Nagasaki Harbor Medical Center, 6-39 Shinchi-machi, Nagasaki, 850-8555, Japan
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Mason SE, Moreta-Martinez R, Labaki WW, Strand M, Baraghoshi D, Regan EA, Bon J, San Jose Estepar R, Casaburi R, McDonald MLN, Rossiter H, Make BJ, Dransfield MT, Han MK, Young KA, Kinney G, Hokanson JE, San Jose Estepar R, Washko GR. Respiratory exacerbations are associated with muscle loss in current and former smokers. Thorax 2021; 76:554-560. [PMID: 33574123 DOI: 10.1136/thoraxjnl-2020-215999] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 11/30/2020] [Accepted: 12/21/2020] [Indexed: 01/07/2023]
Abstract
OBJECTIVES Muscle wasting is a recognised extra-pulmonary complication in chronic obstructive pulmonary disease and has been associated with increased risk of death. Acute respiratory exacerbations are associated with reduction of muscle function, but there is a paucity of data on their long-term effect. This study explores the relationship between acute respiratory exacerbations and long-term muscle loss using serial measurements of CT derived pectoralis muscle area (PMA). DESIGN AND SETTING Participants were included from two prospective, longitudinal, observational, multicentre cohorts of ever-smokers with at least 10 pack-year history. PARTICIPANTS The primary analysis included 1332 (of 2501) participants from Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE) and 4384 (of 10 198) participants from Genetic Epidemiology of COPD (COPDGene) who had complete data from their baseline and follow-up visits. INTERVENTIONS PMA was measured on chest CT scans at two timepoints. Self-reported exacerbation data were collected from participants in both studies through the use of periodic longitudinal surveys. MAIN OUTCOME MEASURES Age-related and excess muscle loss over time. RESULTS Age, sex, race and body mass index were associated with baseline PMA. Participants experienced age-related decline at the upper end of reported normal ranges. In ECLIPSE, the exacerbation rate over time was associated with an excess muscle area loss of 1.3% (95% CI 0.6 to 1.9, p<0.001) over 3 years and in COPDGene with an excess muscle area loss of 2.1% (95% CI 1.2 to 2.8, p<0.001) over 5 years. Excess muscle area decline was absent in 273 individuals who participated in pulmonary rehabilitation. CONCLUSIONS Exacerbations are associated with accelerated skeletal muscle loss. Each annual exacerbation was associated with the equivalent of 6 months of age-expected decline in muscle mass. Ameliorating exacerbation-associated muscle loss represents an important therapeutic target.
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Affiliation(s)
- Stefanie Elizabeth Mason
- Division of Pulmonary and Critical Care, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | | | - Wassim W Labaki
- Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Matthew Strand
- Division of Biostatistics and Bioinformatics, National Jewish Health, Denver, Colorado, USA
| | - David Baraghoshi
- Division of Biostatistics and Bioinformatics, National Jewish Health, Denver, Colorado, USA
| | - Elizabeth A Regan
- Division of Rheumatology, National Jewish Health, Denver, Colorado, USA
| | - Jessica Bon
- Division of Pulmonary, Allergy and Critical Care, UPMC, Pittsburgh, Pennsylvania, USA
| | | | - Richard Casaburi
- Division of Respiratory and Critical Care Physiology and Medicine, Los Angeles Biomedical Research Institute, Torrance, California, USA
| | - Merry-Lynn N McDonald
- Division of Pulmonary, Allergy, and Critical Care, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Harry Rossiter
- Division of Respiratory and Critical Care Physiology and Medicine, Los Angeles Biomedical Research Institute, Torrance, California, USA
| | - Barry J Make
- Division of Pulmonary, Critical Care, and Sleep Medicine, National Jewish Health, Denver, Colorado, USA
| | - Mark T Dransfield
- Division of Pulmonary, Allergy, and Critical Care, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - MeiLan K Han
- Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Kendra A Young
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA
| | - Greg Kinney
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA
| | - John E Hokanson
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA
| | | | - George R Washko
- Division of Pulmonary and Critical Care, Brigham and Women's Hospital, Boston, Massachusetts, USA
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Shirahata T, Sato H, Yogi S, Inoue K, Niitsu M, Akagami T, Soma M, Mio T, Nagata M, Nakae S, Nishida Y, Tanaka S, Katsukawa F, Nakamura H. 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. Respir Res 2021; 22:18. [PMID: 33451329 PMCID: PMC7811265 DOI: 10.1186/s12931-021-01621-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 01/10/2021] [Indexed: 01/06/2023] Open
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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Affiliation(s)
- Toru Shirahata
- Department of Respiratory Medicine, Saitama Medical University, 38 Morohongo, Moroyama-machi, Iruma-gun, Saitama, 350-0495, Japan.
| | - Hideaki Sato
- Department of Respiratory Medicine, Saitama Medical University, 38 Morohongo, Moroyama-machi, Iruma-gun, Saitama, 350-0495, Japan
| | - Sanehiro Yogi
- Department of Respiratory Medicine, Saitama Medical University, 38 Morohongo, Moroyama-machi, Iruma-gun, Saitama, 350-0495, Japan
| | - Kaiji Inoue
- Department of Radiology, Saitama Medical University, Saitama, Japan
| | - Mamoru Niitsu
- Department of Radiology, Saitama Medical University, Saitama, Japan
| | - Tomoe Akagami
- Department of Respiratory Medicine, Saitama Medical University, 38 Morohongo, Moroyama-machi, Iruma-gun, Saitama, 350-0495, Japan
| | - Machika Soma
- Department of Respiratory Medicine, Saitama Medical University, 38 Morohongo, Moroyama-machi, Iruma-gun, Saitama, 350-0495, Japan
| | - Tomohiko Mio
- Department of Respiratory Medicine, Saitama Medical University, 38 Morohongo, Moroyama-machi, Iruma-gun, Saitama, 350-0495, Japan
| | - Makoto Nagata
- Department of Respiratory Medicine, Saitama Medical University, 38 Morohongo, Moroyama-machi, Iruma-gun, Saitama, 350-0495, Japan
| | - Satoshi Nakae
- Department of Nutrition and Metabolism, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
- Graduate School of Engineering Science, Osaka University, Osaka, Japan
| | - Yuki Nishida
- Department of Nutrition and Metabolism, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Shigeho Tanaka
- Department of Nutrition and Metabolism, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
- Faculty of Nutrition, Kagawa Nutrition University, Saitama, Japan
| | | | - Hidetoshi Nakamura
- Department of Respiratory Medicine, Saitama Medical University, 38 Morohongo, Moroyama-machi, Iruma-gun, Saitama, 350-0495, Japan
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Singhvi D, Bon J. CT Imaging and Comorbidities in COPD: Beyond Lung Cancer Screening. Chest 2021; 159:147-153. [PMID: 32835707 PMCID: PMC8256436 DOI: 10.1016/j.chest.2020.08.2053] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 07/13/2020] [Accepted: 08/14/2020] [Indexed: 12/21/2022] Open
Abstract
Comorbidities significantly contribute to morbidity, mortality, and health-care costs in individuals with COPD. Comorbidity prevalence does not always correlate with lung disease severity, and the elevated risk of certain comorbidities is often independent of shared risk factors such as tobacco burden. Although COPD management guidelines recognize the importance of identifying and treating comorbidities as part of the comprehensive management of COPD patients, little guidance is provided regarding best screening practices. Whereas universal comorbidity screening in COPD patients is likely not cost-effective, targeted early screening and treatment in those at highest risk may have a significant impact on COPD outcomes. Recent studies suggest that certain radiographic features on thoracic imaging may serve as surrogate markers of comorbidity in patients with COPD. This review evaluates these studies in the context of the growing availability of chest CT scans in the lung cancer screening era and discusses how chest CT imaging can be leveraged to identify those COPD patients at highest risk for comorbid disease.
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Affiliation(s)
- Deepti Singhvi
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Jessica Bon
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA; VA Pittsburgh Healthcare System, Pittsburgh, PA.
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Pistenmaa CL, Washko GR. Computerized Chest Imaging in the Diagnosis and Assessment of the Patient with Chronic Obstructive Pulmonary Disease. Clin Chest Med 2020; 41:375-381. [PMID: 32800192 DOI: 10.1016/j.ccm.2020.06.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Computerized tomography in chronic obstructive pulmonary disease (COPD) has been the subject of intense interest in the research and clinical community. Methods have been developed to objectively detect and quantify processes affecting the lung parenchyma, airways and vasculature, as well as extrapulmonary manifestations of the noxious effects of chronic inhalational exposures, such as tobacco smoke. This article provides a brief overview of image-based advances in COPD research and then discusses how these advances have translated to clinical care, finishing with a brief description of a path forward for the convergence of research and care at the bedside.
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Affiliation(s)
- Carrie L Pistenmaa
- Division of Pulmonary and Critical Care, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA.
| | - George R Washko
- Division of Pulmonary and Critical Care, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA
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Dolliver WR, Diaz AA. Advances in Chronic Obstructive Pulmonary Disease Imaging. ACTA ACUST UNITED AC 2020; 6:128-143. [PMID: 33758787 DOI: 10.23866/brnrev:2019-0023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Chest computed tomography (CT) imaging is a useful tool that provides in vivo information regarding lung structure. Imaging has contributed to a better understanding of COPD, allowing for the detection of early structural changes and the quantification of extra-pulmonary structures. Novel CT imaging techniques have provided insight into the progression of the main COPD subtypes, such as emphysema and small airway disease. This article serves as a review of new information relevant to COPD imaging. CT abnormalities, such as emphysema and loss of airways, are present even in smokers who do not meet the criteria for COPD and in those with mild-to-moderate disease. Subjects with mild-to-moderate COPD, with the highest loss of airways, also experience the highest decline in lung function. Extra-pulmonary manifestations of COPD, such as right ventricle enlargement and low muscle mass measured on CT, are associated with increased risk for all-cause mortality. CT longitudinal data has also given insight into the progression of COPD. Mechanically affected areas of lung parenchyma adjacent to emphysematous areas are associated with a greater decline in FEV1. Subjects with the greatest percentage of small airway disease, as measured on matched inspiratory-expiratory CT scan, also present with the greatest decline in lung function.
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Affiliation(s)
- Wojciech R Dolliver
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Alejandro A Diaz
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
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Sepúlveda‐Loyola W, Osadnik C, Phu S, Morita AA, Duque G, Probst VS. Diagnosis, prevalence, and clinical impact of sarcopenia in COPD: a systematic review and meta-analysis. J Cachexia Sarcopenia Muscle 2020; 11:1164-1176. [PMID: 32862514 PMCID: PMC7567149 DOI: 10.1002/jcsm.12600] [Citation(s) in RCA: 112] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 06/06/2020] [Accepted: 06/10/2020] [Indexed: 12/17/2022] Open
Abstract
Sarcopenia prevalence and its clinical impact are reportedly variable in chronic obstructive pulmonary disease (COPD) due partly to definition criteria. This review aimed to identify the criteria used to diagnose sarcopenia and the prevalence and impact of sarcopenia on health outcomes in people with COPD. This review was registered in PROSPERO (CRD42018092576). Five electronic databases were searched to August 2018 to identify studies related to sarcopenia and COPD. Study quality was assessed using validated instruments matched to study designs. Sarcopenia prevalence was determined using authors' definitions. Comparisons were made between people who did and did not have sarcopenia for pulmonary function, exercise capacity, quality of life, muscle strength, gait speed, physical activity levels, inflammation/oxidative stress, and mortality. Twenty-three studies (70% cross-sectional) from Europe (10), Asia (9), and North and South America (4) involving 9637 participants aged ≥40 years were included (69.5% men). Sarcopenia criteria were typically concordant with recommendations of hEuropean and Asian consensus bodies. Overall sarcopenia prevalence varied from 15.5% [95% confidence interval (CI) 11.8-19.1; combined muscle mass, strength, and/or physical performance criteria] to 34% (95%CI 20.6-47.3; muscle mass criteria alone) (P = 0.009 between subgroups) and was greater in people with more severe [37.6% (95%CI 24.8-50.4)] versus less severe [19.1% (95%CI 10.2-28.0)] lung disease (P = 0.020), but similar between men [41.0% (95%CI 26.2-55.9%)] and women [31.9% (95%CI 7.0-56.8%)] (P = 0.538). People with sarcopenia had lower predicted forced expiratory volume in the first second (mean difference -7.1%; 95%CI -9.0 to -5.1%) and poorer exercise tolerance (standardized mean difference -0.8; 95%CI -1.4 to -0.2) and quality of life (standardized mean difference 0.26; 95%CI 0.2-0.4) compared with those who did not (P < 0.001 for all). No clear relationship was observed between sarcopenia and inflammatory or oxidative stress biomarkers. Incident mortality was unreported in the literature. Sarcopenia is prevalent in a significant proportion of people with COPD and negatively impacts upon important clinical outcomes. Opportunities exist to optimize its early detection and management and to evaluate its impact on mortality in this patient group.
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Affiliation(s)
- Walter Sepúlveda‐Loyola
- Department of PhysiotherapyLondrina State UniversityLondrinaParanáBrazil
- Centre of Research and Post‐Graduation in Health Sciences (CEPPOS)Londrina State UniversityLondrinaParanáBrazil
- Department of Medicine—Western Health, Melbourne Medical SchoolThe University of MelbourneSt AlbansVICAustralia
- Australian Institute for Musculoskeletal Science (AIMSS)University of Melbourne and Western HealthSt AlbansVICAustralia
| | - Christian Osadnik
- Department of PhysiotherapyMonash UniversityMelbourneVICAustralia
- Monash Lung and Sleep, Monash HealthMonash Medical CentreMelbourneVICAustralia
| | - Steven Phu
- Department of Medicine—Western Health, Melbourne Medical SchoolThe University of MelbourneSt AlbansVICAustralia
- Australian Institute for Musculoskeletal Science (AIMSS)University of Melbourne and Western HealthSt AlbansVICAustralia
| | - Andrea A. Morita
- Department of PhysiotherapyLondrina State UniversityLondrinaParanáBrazil
- Centre of Research and Post‐Graduation in Health Sciences (CEPPOS)Londrina State UniversityLondrinaParanáBrazil
| | - Gustavo Duque
- Department of Medicine—Western Health, Melbourne Medical SchoolThe University of MelbourneSt AlbansVICAustralia
- Australian Institute for Musculoskeletal Science (AIMSS)University of Melbourne and Western HealthSt AlbansVICAustralia
| | - Vanessa S. Probst
- Department of PhysiotherapyLondrina State UniversityLondrinaParanáBrazil
- Centre of Research and Post‐Graduation in Health Sciences (CEPPOS)Londrina State UniversityLondrinaParanáBrazil
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The prognostic value of pneumonia severity score and pectoralis muscle Area on chest CT in adult COVID-19 patients. Eur J Radiol 2020; 131:109271. [PMID: 32942198 PMCID: PMC7480333 DOI: 10.1016/j.ejrad.2020.109271] [Citation(s) in RCA: 76] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 09/03/2020] [Accepted: 09/05/2020] [Indexed: 01/08/2023]
Abstract
Purpose To assess the prognostic value of pneumonia severity score (PSS), pectoralis muscle area (PMA), and index (PMI) on chest computed tomography (CT) in adult coronavirus disease 2019 (COVID-19) patients. Method The chest CT images of COVID-19 patients were evaluated for the PSS as the ratio of the volume of involved lung parenchyma to the total lung volume. The cross-sectional areas of the pectoralis muscles (PMA, cm2) were also measured automatically on axial CT images, and PMI was calculated as the following formula: PMI = PMA / patient’s height square (m2). The relationship between clinical variables, PSS, PMA, sex-specific PMI values, and patient outcomes (intubation, prolonged hospital stay, and death) were investigated using multivariable logistic regression analysis. All patients were followed for more than a month. Results One-hundred thirty patients (76 males, 58.46 %) were included in the study. Fifteen patients (11.54 %) were intubated, 24 patients (18.46 %) had prolonged hospital stay, and eight patients (6.15 %) died during follow-up. Patients with comorbidity had a higher mean of PSS (6.3 + 4.5 vs 3.9 + 3.8; p = 0.001). After adjusting the confounders, PSS was an independent predictor of intubation (adjusted Odds Ratio [OR]: 1.73, 95 % CI 1.31−2.28, p < 0.001), prolonged hospital stay (OR: 1.20, 95 % CI 1.09−1.33, p < 0.001), and death (OR: 2.13, 95 % CI 1.1−4.13, p = 0.026. PMI value was a predictor of prolonged hospital stay (OR: 0.83, 95 % CI 0.72−0.96, p = 0.038) and death (OR: 0.53, 95 % CI 0.29−0.96, p = 0.036). Incrementally increasing PMA value was a predictor of prolonged hospital stay (OR: 0.93, 95 % CI 0.89−0.98, p = 0.01) and intubation (OR: 0.98, 95 % CI 0.96−1, p = 0.036). Conclusion PSS, PMA, and PMI values have prognostic value in adult COVID-19 patients and can be easily assessed on chest CT images.
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Tanabe N, Sato S, Tanimura K, Oguma T, Sato A, Muro S, Hirai T. Associations of CT evaluations of antigravity muscles, emphysema and airway disease with longitudinal outcomes in patients with COPD. Thorax 2020; 76:295-297. [PMID: 32868293 DOI: 10.1136/thoraxjnl-2020-215085] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 06/19/2020] [Accepted: 08/04/2020] [Indexed: 11/04/2022]
Abstract
Multiple CT indices are associated with disease progression and mortality in patients with COPD, but which indices have the strongest association remain unestablished. This longitudinal 10-year observational study (n=247) showed that the emphysema severity on CT is more closely associated with the progression of airflow limitation and that a reduction in the cross-sectional area of erector spinae muscles (ESMCSA) on CT is more closely associated with mortality than the other CT indices, independent of patient demographics and pulmonary function. ESMCSA is a useful CT index that is more closely associated with long-term mortality than emphysema and airway disease in patients with COPD.
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Affiliation(s)
- Naoya Tanabe
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Susumu Sato
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kazuya Tanimura
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Tsuyoshi Oguma
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Atsuyasu Sato
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Shigeo Muro
- Respiratory Medicine, Nara Medical University, Kashihara, Nara, Japan
| | - Toyohiro Hirai
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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Parulekar AD, Wang T, Li GW, Hoang V, Kao CC. Pectoralis muscle area is associated with bone mineral density and lung function in lung transplant candidates. Osteoporos Int 2020; 31:1361-1367. [PMID: 32170395 DOI: 10.1007/s00198-020-05373-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Accepted: 03/02/2020] [Indexed: 10/24/2022]
Abstract
UNLABELLED Loss of bone mineral density and skeletal muscle area are linked in lung transplant patients. This loss is greater in patients with restrictive compared with obstructive lung diseases. INTRODUCTION Sarcopenia and osteoporosis are associated with aging and chronic illnesses and may be linked in patients with advanced lung disease. Pectoralis muscle index (PMI) quantitated on computed tomography (CT) of the chest can be used to measure skeletal muscle mass. This study aimed to determine the relationship of PMI to clinical parameters including bone mineral density (BMD) in candidates for lung transplantation. METHODS A retrospective review of transplant candidates at a single center was performed. Demographic, anthropomorphic, and clinical data were recorded. Pectoralis muscle area (PMA) was determined on an axial slice from a chest CT. PMI was calculated as the PMA divided by height squared. BMD was obtained from routine dual-energy X-ray absorptiometry (DXA) scan. RESULTS In 226 included patients, mean PMI was 8.2 ± 3.0 cm2/m2 in males and 6.1 ± 2.1 cm2/m2 in females. Osteopenia was present in 44.4%, and 23.2% of patients had osteoporosis. Patients with obstructive lung disease had lower body mass index (22.0 ± 4.9 versus 27.9 ± 4.9 kg/m2, p < 0.001), PMI (6.0 ± 2.3 versus 8.2 ± 2.8 cm2/m2, p < 0.001), and BMD (- 2.3 ± 1.1 versus - 1.3 ± 1.1, p < 0.001) compared with patients with restrictive lung disease. PMI was a significant predictor of BMD (β = 0.16, p < 0.001). CONCLUSION The association between muscle area and BMD in lung transplant candidates suggests that similar mechanisms may underlie the development of both. Differences in PMI and BMD in patients with obstructive versus restrictive lung disease may result from differences in respiratory physiology or disease processes.
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Affiliation(s)
- A D Parulekar
- Section of Pulmonary, Critical Care, and Sleep, Department of Medicine, Baylor College of Medicine, 6620 Main Street, Houston, TX, 77030, USA
| | - T Wang
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - G W Li
- Section of Pulmonary, Critical Care, and Sleep, Department of Medicine, Baylor College of Medicine, 6620 Main Street, Houston, TX, 77030, USA
| | - V Hoang
- Section of Pulmonary, Critical Care, and Sleep, Department of Medicine, Baylor College of Medicine, 6620 Main Street, Houston, TX, 77030, USA
| | - C C Kao
- Section of Pulmonary, Critical Care, and Sleep, Department of Medicine, Baylor College of Medicine, 6620 Main Street, Houston, TX, 77030, USA.
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Awano N, Inomata M, Kuse N, Tone M, Yoshimura H, Jo T, Takada K, Sugimoto C, Tanaka T, Sumikawa H, Suzuki Y, Fujisawa T, Suda T, Izumo T. Quantitative computed tomography measures of skeletal muscle mass in patients with idiopathic pulmonary fibrosis according to a multidisciplinary discussion diagnosis: A retrospective nationwide study in Japan. Respir Investig 2019; 58:91-101. [PMID: 31882370 DOI: 10.1016/j.resinv.2019.11.002] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2019] [Revised: 10/04/2019] [Accepted: 11/21/2019] [Indexed: 11/30/2022]
Abstract
BACKGROUND Idiopathic pulmonary fibrosis (IPF) is a progressive disease often accompanied by skeletal muscle wasting. We investigated whether skeletal muscle mass and muscle attenuation on computed tomography (CT) are predictors of mortality in IPF patients, using a nationwide cloud-based database and web-based multidisciplinary discussion (MDD) system. METHODS IPF patients diagnosed using MDD from April 2009 to March 2014 were included. We analyzed the cross-sectional area (CSA) of the erector spinae muscle (ESMCSA) and the pectoralis muscle (PMCSA), muscle attenuation of the ESM (ESMMA), and PM (PMMA) on single-slice axial CT. Survival probability was assessed using the Kaplan-Meier method and compared by the log-rank test. Multivariate Cox proportional hazards models were used to evaluate the relationship among the ESMCSA, PMCSA, ESMMA, PMMA, clinical parameters, and prognosis. RESULTS A total of 199 IPF patients were enrolled. Seventy-four patients died during the study period and the most frequent cause was acute exacerbation (13.1%). The group with the lowest quartile of ESMCSA had significantly worse survival than other groups (P = 0.009). Survival rates of the groups with the lowest quartile of PMCSA, lower ESMMA, and lower PMMA did not differ from those of other groups. According to multivariate analysis, ESMCSA < lower quartile was significantly associated with all-cause mortality (hazards ratio, 1.96; P = 0.030), whereas, ESMMA < median, PMCSA < lower quartile, and PMMA < median were not. CONCLUSIONS Low ESMCSA on CT images may be a strong risk factor for all-cause mortality in IPF patients based on MDD diagnosis.
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Affiliation(s)
- Nobuyasu Awano
- Department of Respiratory Medicine, Japanese Red Cross Medical Center, 4-1-22 Hiroo, Shibuya-ku, Tokyo, 150-8935, Japan.
| | - Minoru Inomata
- Department of Respiratory Medicine, Japanese Red Cross Medical Center, 4-1-22 Hiroo, Shibuya-ku, Tokyo, 150-8935, Japan.
| | - Naoyuki Kuse
- Department of Respiratory Medicine, Japanese Red Cross Medical Center, 4-1-22 Hiroo, Shibuya-ku, Tokyo, 150-8935, Japan.
| | - Mari Tone
- Department of Respiratory Medicine, Japanese Red Cross Medical Center, 4-1-22 Hiroo, Shibuya-ku, Tokyo, 150-8935, Japan.
| | - Hanako Yoshimura
- Department of Respiratory Medicine, Japanese Red Cross Medical Center, 4-1-22 Hiroo, Shibuya-ku, Tokyo, 150-8935, Japan.
| | - Tatsunori Jo
- Department of Respiratory Medicine, Japanese Red Cross Medical Center, 4-1-22 Hiroo, Shibuya-ku, Tokyo, 150-8935, Japan.
| | - Kohei Takada
- Department of Respiratory Medicine, Japanese Red Cross Medical Center, 4-1-22 Hiroo, Shibuya-ku, Tokyo, 150-8935, Japan.
| | - Chikatoshi Sugimoto
- Clinical Research Center, National Hospital Organization Kinki-Chuo Chest Medical Center, 1180 Nagasone-cho, Kita-ku, Sakai, Osaka, 591-8555, Japan.
| | - Tomonori Tanaka
- Department of Diagnostic Pathology, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan.
| | - Hiromitsu Sumikawa
- Department of Radiology, Sakai City Medical Center, 1-1-1 Ebaraji-cho, Nishi-ku, Sakai, Osaka, 593-8304, Japan.
| | - Yuzo Suzuki
- Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, 1-20-1 Hamadayama, Higashi-ku, Hamamatsu, Shizuoka, 431-3192, Japan.
| | - Tomoyuki Fujisawa
- Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, 1-20-1 Hamadayama, Higashi-ku, Hamamatsu, Shizuoka, 431-3192, Japan.
| | - Takafumi Suda
- Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, 1-20-1 Hamadayama, Higashi-ku, Hamamatsu, Shizuoka, 431-3192, Japan.
| | - Takehiro Izumo
- Department of Respiratory Medicine, Japanese Red Cross Medical Center, 4-1-22 Hiroo, Shibuya-ku, Tokyo, 150-8935, Japan.
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Bak SH, Kwon SO, Han SS, Kim WJ. Computed tomography-derived area and density of pectoralis muscle associated disease severity and longitudinal changes in chronic obstructive pulmonary disease: a case control study. Respir Res 2019; 20:226. [PMID: 31638996 PMCID: PMC6805427 DOI: 10.1186/s12931-019-1191-y] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Accepted: 09/20/2019] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Muscle wasting is associated with prognosis in patients with chronic obstructive pulmonary disease (COPD). The cross-sectional area of skeletal muscles on computed tomography (CT) could serve as a method to evaluate body composition. The present study aimed to determine the ability of CT-derived pectoralis muscle area (PMA) and pectoralis muscle density (PMD) to determine the severity of COPD and change in longitudinal pulmonary function in patients with COPD. METHODS A total of 293 participants were enrolled in this study, a whom 222 had undergone at least two spirometry measurements within 3 years after baseline data acquisition. PMA and PMD were measured from a single axial slice of chest CT above the aortic arch at baseline. The emphysema index and bronchial wall thickness were quantitatively assessed in all scans. The generalized linear model was used to determine the correlation between PMA and PMD measurements and pulmonary function. RESULTS PMA and PMD were significantly associated with baseline lung function and the severity of emphysema (P < 0.05). Patients with the lowest PMA and PMD exhibited significantly more severe airflow obstruction (β = - 0.06; 95% confidence interval: - 0.09 to - 0.03]. PMA was statistically associated with COPD assessment test (CAT) score (P = 0.033). However, PMD did not exhibit statistically significant correlation with either CAT scores or modified Medical Research Council scores (P > 0.05). Furthermore, neither PMA nor PMD were associated with changes in forced expiratory volume in 1 s over a 3-year periods. CONCLUSIONS CT-derived features of the pectoralis muscle may be helpful in predicting disease severity in patients with COPD, but are not necessarily associated with longitudinal changes in lung function.
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Affiliation(s)
- So Hyeon Bak
- Department of Radiology, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Republic of Korea
| | - Sung Ok Kwon
- Biomedical Research Institute, Kangwon National University Hospital, Chuncheon, Republic of Korea
| | - Seon-Sook Han
- Department of Internal Medicine and Environmental Health Center, School of Medicine, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon, Gangwon-do, 24341, Republic of Korea
| | - Woo Jin Kim
- Department of Internal Medicine and Environmental Health Center, School of Medicine, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon, Gangwon-do, 24341, Republic of Korea.
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