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Lin X, Zhou T, Ni J, Li J, Guan Y, Jiang X, Zhou X, Xia Y, Xu F, Hu H, Dong Q, Liu S, Fan L. CT-based whole lung radiomics nomogram: a tool for identifying the risk of cardiovascular disease in patients with chronic obstructive pulmonary disease. Eur Radiol 2024; 34:4852-4863. [PMID: 38216755 DOI: 10.1007/s00330-023-10502-9] [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: 09/22/2023] [Revised: 09/22/2023] [Accepted: 10/31/2023] [Indexed: 01/14/2024]
Abstract
OBJECTIVES To evaluate the value of CT-based whole lung radiomics nomogram for identifying the risk of cardiovascular disease (CVD) in patients with chronic obstructive pulmonary disease (COPD). MATERIALS AND METHODS A total of 974 patients with COPD were divided into a training cohort (n = 402), an internal validation cohort (n = 172), and an external validation cohort (n = 400) from three hospitals. Clinical data and CT findings were analyzed. Radiomics features of whole lung were extracted from the non-contrast chest CT images. A radiomics signature was constructed with algorithms. Combined with the radiomics score and independent clinical factors, multivariate logistic regression analysis was used to establish a radiomics nomogram. ROC curve was used to analyze the prediction performance of the model. RESULTS Age, weight, and GOLD were the independent clinical factors. A total of 1218 features were extracted and reduced to 15 features to build the radiomics signature. In the training cohort, the combined model (area under the curve [AUC], 0.731) showed better discrimination capability (p < 0.001) than the clinical factors model (AUC, 0.605). In the internal validation cohort, the combined model (AUC, 0.727) performed better (p = 0.032) than the clinical factors model (AUC, 0.629). In the external validation cohort, the combined model (AUC, 0.725) performed better (p < 0.001) than the clinical factors model (AUC, 0.690). Decision curve analysis demonstrated the radiomics nomogram outperformed the clinical factors model. CONCLUSION The CT-based whole lung radiomics nomogram has the potential to identify the risk of CVD in patients with COPD. CLINICAL RELEVANCE STATEMENT This study helps to identify cardiovascular disease risk in patients with chronic obstructive pulmonary disease on chest CT scans. KEY POINTS • To investigate the value of CT-based whole lung radiomics features in identifying the risk of cardiovascular disease in chronic obstructive pulmonary disease patients. • The radiomics nomogram showed better performance than the clinical factors model to identify the risk of cardiovascular disease in patients with chronic obstructive pulmonary disease. • The radiomics nomogram demonstrated excellent performance in the training, internal validation, and external validation cohort (AUC, 0.731; AUC, 0.727; AUC, 0.725).
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Affiliation(s)
- XiaoQing Lin
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China
- College of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai, 200003, China
| | - TaoHu Zhou
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China
- School of Medical Imaging, Weifang Medical University, Weifang, Shandong, China
| | - Jiong Ni
- Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Jie Li
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China
- College of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai, 200003, China
| | - Yu Guan
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China
| | - Xin'ang Jiang
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China
| | - Xiuxiu Zhou
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China
| | - Yi Xia
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China
| | - Fangyi Xu
- Department of Radiology, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Zhejiang, China
| | - Hongjie Hu
- Department of Radiology, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Zhejiang, China
| | - Qian Dong
- Department of Radiology, University of Michigan Taubman Center, Ann Arbor, MI, USA
| | - Shiyuan Liu
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China
| | - Li Fan
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China.
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Flores-Opazo M, Kopinke D, Helmbacher F, Fernández-Verdejo R, Tuñón-Suárez M, Lynch GS, Contreras O. Fibro-adipogenic progenitors in physiological adipogenesis and intermuscular adipose tissue remodeling. Mol Aspects Med 2024; 97:101277. [PMID: 38788527 DOI: 10.1016/j.mam.2024.101277] [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: 02/01/2024] [Revised: 04/27/2024] [Accepted: 05/13/2024] [Indexed: 05/26/2024]
Abstract
Excessive accumulation of intermuscular adipose tissue (IMAT) is a common pathological feature in various metabolic and health conditions and can cause muscle atrophy, reduced function, inflammation, insulin resistance, cardiovascular issues, and unhealthy aging. Although IMAT results from fat accumulation in muscle, the mechanisms underlying its onset, development, cellular components, and functions remain unclear. IMAT levels are influenced by several factors, such as changes in the tissue environment, muscle type and origin, extent and duration of trauma, and persistent activation of fibro-adipogenic progenitors (FAPs). FAPs are a diverse and transcriptionally heterogeneous population of stromal cells essential for tissue maintenance, neuromuscular stability, and tissue regeneration. However, in cases of chronic inflammation and pathological conditions, FAPs expand and differentiate into adipocytes, resulting in the development of abnormal and ectopic IMAT. This review discusses the role of FAPs in adipogenesis and how they remodel IMAT. It highlights evidence supporting FAPs and FAP-derived adipocytes as constituents of IMAT, emphasizing their significance in adipose tissue maintenance and development, as well as their involvement in metabolic disorders, chronic pathologies and diseases. We also investigated the intricate molecular pathways and cell interactions governing FAP behavior, adipogenesis, and IMAT accumulation in chronic diseases and muscle deconditioning. Finally, we hypothesize that impaired cellular metabolic flexibility in dysfunctional muscles impacts FAPs, leading to IMAT. A deeper understanding of the biology of IMAT accumulation and the mechanisms regulating FAP behavior and fate are essential for the development of new therapeutic strategies for several debilitating conditions.
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Affiliation(s)
| | - Daniel Kopinke
- Department of Pharmacology and Therapeutics, University of Florida, Gainesville, 32610, FL, USA; Myology Institute, University of Florida College of Medicine, Gainesville, FL, USA.
| | | | - Rodrigo Fernández-Verdejo
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA; Laboratorio de Fisiología Del Ejercicio y Metabolismo (LABFEM), Escuela de Kinesiología, Facultad de Medicina, Universidad Finis Terrae, Chile.
| | - Mauro Tuñón-Suárez
- Laboratorio de Fisiología Del Ejercicio y Metabolismo (LABFEM), Escuela de Kinesiología, Facultad de Medicina, Universidad Finis Terrae, Chile.
| | - Gordon S Lynch
- Centre for Muscle Research, Department of Anatomy and Physiology, The University of Melbourne, Melbourne, Victoria, Parkville 3010, Australia.
| | - Osvaldo Contreras
- Developmental and Regenerative Biology Division, Victor Chang Cardiac Research Institute, Darlinghurst, NSW, 2010, Australia; School of Clinical Medicine, UNSW Sydney, Kensington, NSW 2052, Australia.
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3
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Krishnan S, Tan WC, Farias R, Aaron SD, Benedetti A, Chapman KR, Hernandez P, Maltais F, Marciniuk DD, O'Donnell DE, Sin DD, Walker B, Bourbeau J. Impaired Spirometry and COPD Increase the Risk of Cardiovascular Disease: A Canadian Cohort Study. Chest 2023; 164:637-649. [PMID: 36871842 DOI: 10.1016/j.chest.2023.02.045] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 02/24/2023] [Accepted: 02/25/2023] [Indexed: 03/06/2023] Open
Abstract
BACKGROUND Individuals with COPD and preserved ratio impaired spirometry (PRISm) findings in clinical settings have an increased risk of cardiovascular disease (CVD). RESEARCH QUESTION Do individuals with mild to moderate or worse COPD and PRISm findings in community settings have a higher prevalence and incidence of CVD compared with individuals with normal spirometry findings? Can CVD risk scores be improved when impaired spirometry is added? STUDY DESIGN AND METHODS The analysis was embedded in the Canadian Cohort Obstructive Lung Disease (CanCOLD). Prevalence of CVD (ischemic heart disease [IHD] and heart failure [HF]) and their incidence over 6.3 years were compared between groups with impaired and normal spirometry findings using logistic regression and Cox models, respectively, adjusting for covariables. Discrimination of the pooled cohort equations (PCE) and Framingham risk score (FRS) in predicting CVD were assessed with and without impaired spirometry. RESULTS Participants (n = 1,561) included 726 people with normal spirometry findings and 835 people with impaired spirometry findings (COPD Global Initiative for Chronic Obstructive Lung Disease [GOLD] stage 1 disease, n = 408; GOLD stage ≥ 2, n = 331; PRISm findings, n = 96). Rates of undiagnosed COPD were 84% in GOLD stage 1 and 58% in GOLD stage ≥ 2 groups. Prevalence of CVD (IHD or HF) was significantly higher among individuals with impaired spirometry findings and COPD compared with those with normal spirometry findings, with ORs of 1.66 (95% CI, 1.13-2.43; P = .01∗) (∗ indicates statistical significane with P < .05) and 1.55 (95% CI, 1.04-2.31; P = .033∗), respectively. Prevalence of CVD was significantly higher in participants having PRISm findings and COPD GOLD stage ≥ 2, but not GOLD stage 1. CVD incidence was significantly higher, with hazard ratios of 2.07 (95% CI, 1.10-3.91; P = .024∗) for the impaired spirometry group and 2.09 (95% CI, 1.10-3.98; P = .024∗) for the COPD group compared to individuals with normal spirometry findings. The difference was significantly higher among individuals with COPD GOLD stage ≥ 2, but not GOLD stage 1. The discrimination for predicting CVD was low and limited when impaired spirometry findings were added to either risk score. INTERPRETATION Individuals with impaired spirometry findings, especially those with moderate or worse COPD and PRISm findings, have increased comorbid CVD compared with their peers with normal spirometry findings, and having COPD increases the risk of CVD developing.
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Affiliation(s)
- Suurya Krishnan
- Respiratory Epidemiology and Clinical Research Unit, Center of Outcome Research and Evaluation, Research Institute of the McGill University Health Centre, McGill University, Montreal, ON Canada
| | - Wan C Tan
- Center for Heart Lung Innovation, University of British Columbia and St. Paul's Hospital, Vancouver, BC, Canada
| | - Raquel Farias
- Respiratory Epidemiology and Clinical Research Unit, Center of Outcome Research and Evaluation, Research Institute of the McGill University Health Centre, McGill University, Montreal, ON Canada
| | - Shawn D Aaron
- Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada
| | - Andrea Benedetti
- Respiratory Epidemiology and Clinical Research Unit, Center of Outcome Research and Evaluation, Research Institute of the McGill University Health Centre, McGill University, Montreal, ON Canada
| | - Kenneth R Chapman
- Toronto General Hospital Research Institute, University of Toronto, Toronto, ON, Canada
| | - Paul Hernandez
- Division of Respirology, Faculty of Medicine, Dalhousie University, Halifax, NS, Canada
| | - François Maltais
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Université Laval, Québec, QC, Canada
| | - Darcy D Marciniuk
- Respiratory Research Center, University of Saskatchewan, Saskatoon, SK, Canada
| | - Denis E O'Donnell
- Division of Respiratory and Critical Care Medicine, Queens University, Kingston, ON, Canada
| | - Don D Sin
- Center for Heart Lung Innovation, University of British Columbia and St. Paul's Hospital, Vancouver, BC, Canada
| | - Brandie Walker
- Department of Medicine, University of Calgary, Calgary, AB, Canada
| | - Jean Bourbeau
- Respiratory Epidemiology and Clinical Research Unit, Center of Outcome Research and Evaluation, Research Institute of the McGill University Health Centre, McGill University, Montreal, ON Canada.
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Nicholson JM, Orsso CE, Nourouzpour S, Elangeswaran B, Chohan K, Orchanian-Cheff A, Fidler L, Mathur S, Rozenberg D. Computed tomography-based body composition measures in COPD and their association with clinical outcomes: A systematic review. Chron Respir Dis 2022; 19:14799731221133387. [PMID: 36223552 PMCID: PMC9561670 DOI: 10.1177/14799731221133387] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background Computed tomography (CT) is commonly utilized in chronic obstructive
pulmonary disease (COPD) for lung cancer screening and emphysema
characterization. Computed tomography-morphometric analysis of body
composition (muscle mass and adiposity) has gained increased recognition as
a marker of disease severity and prognosis. This systematic review aimed to
describe the CT-methodology used to assess body composition and identify the
association of body composition measures and disease severity,
health-related quality of life (HRQL), cardiometabolic risk factors,
respiratory exacerbations, and survival in patients with COPD. Methods Six databases were searched (inception-September 2021) for studies evaluating
adult COPD patients using thoracic or abdominal CT-muscle or adiposity body
composition measures. The systematic review was conducted in accordance with
the PRISMA guidelines. Results Twenty eight articles were included with 15,431 COPD patients, across all
GOLD stages with 77% males, age range (mean/median 59–78 years), and BMI
range 19.8–29.3 kg/m2. There was heterogeneity in assessment of
muscle mass and adiposity using thoracic (n = 22) and
abdominal (n = 8) CT-scans, capturing different muscle
groups, anatomic locations, and adiposity compartments (visceral,
subcutaneous, and epicardial). Low muscle mass and increased adiposity were
associated with increased COPD severity measures (lung function, exercise
capacity, dyspnea) and lower HRQL, but were not consistent across studies.
Increased visceral adiposity (n = 6) was associated with
cardiovascular disease or risk factors (hypertension, hyperlipidemia, and
diabetes). Low muscle CSA was prognostic of respiratory exacerbations or
mortality in three of six studies, whereas the relationship with increased
intermuscular adiposity and greater mortality was only observed in one of
three studies. Conclusion There was significant variability in CT-body composition measures. In several
studies, low muscle mass was associated with increased disease severity and
lower HRQL, whereas adiposity with cardiovascular disease/risk factors.
Given the heterogeneity in body composition measures and clinical outcomes,
the prognostic utility of CT-body composition in COPD requires further
study.
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Affiliation(s)
- John M Nicholson
- Department of Medicine,
Respirology, London
Health Science Center, London, ON,
Canada
| | - Camila E Orsso
- Department of Agricultural, Food
and Nutritional Science, University of
Alberta, Edmonton, AB, Canada
| | - Sahar Nourouzpour
- Temerty Faculty of Medicine,
Respirology, Lung Transplant Program, Toronto General Hospital Research
Institute, University
Health Network, Toronto, ON,
Canada
| | - Brenawen Elangeswaran
- Temerty Faculty of Medicine,
Respirology, Lung Transplant Program, Toronto General Hospital Research
Institute, University
Health Network, Toronto, ON,
Canada
| | - Karan Chohan
- Temerty Faculty of Medicine,
Respirology, Lung Transplant Program, Toronto General Hospital Research
Institute, University
Health Network, Toronto, ON,
Canada
| | - Ani Orchanian-Cheff
- Library and Information Services,
University
Health Network, Toronto, ON,
Canada
| | - Lee Fidler
- Department of Medicine,
Respirology, University
Health Network, Toronto, Canada,Respirology,
Sunnybrook
Health Sciences Centre, Toronto, ON,
Canada
| | - Sunita Mathur
- Deparment of Physical Therapy,
University
of Toronto, Toronto, ON, Canada,School of Rehabilitation Therapy,
Queen’s
University, Kingston, ON, Canada
| | - Dmitry Rozenberg
- Temerty Faculty of Medicine,
Respirology, Lung Transplant Program, Toronto General Hospital Research
Institute, University
Health Network, Toronto, ON,
Canada,Dmitry Rozenberg, Temerty Faculty of
Medicine, Respirology, Lung Transplant Program, Toronto General Hospital
Research Institute, University Health Network, 200 Elizabeth Street, 13-EN 229,
Toronto ON M5G 2C4, Canada.
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5
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Persson HL, Sioutas A, Kentson M, Jacobson P, Lundberg P, Dahlqvist Leinhard O, Forsgren MF. Skeletal Myosteatosis is Associated with Systemic Inflammation and a Loss of Muscle Bioenergetics in Stable COPD. J Inflamm Res 2022; 15:4367-4384. [PMID: 35937916 PMCID: PMC9355337 DOI: 10.2147/jir.s366204] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Accepted: 07/05/2022] [Indexed: 11/23/2022] Open
Abstract
Background Common features among patients with more advanced chronic obstructive pulmonary disease (COPD) are systemic inflammation and a loss of both muscle mass and normal muscle composition. In the present study, we investigated COPD subjects to better understand how thigh muscle fat infiltration (MFI) and energy metabolism relate to each other and to clinical features of COPD with emphasis on systemic inflammation. Methods Thirty-two Caucasians with stable COPD were investigated using questionnaires, lung function tests, blood analysis and magnetic resonance imaging (MRI) for analysis of body- and thigh muscle composition. Bioenergetics in the resting thigh muscle, expressed as the PCr/Pi ratio, were analysed using 31phosphorus magnetic resonance spectroscopy (31P-MRS). Results Based on the combination of the MFI adjusted for sex (MFIa) and the thigh fat-tissue free muscle volume, expressed as the deviation from the expected muscle volume of a matched virtual control group (FFMVvcg), all COPD subjects displayed abnormally composed thigh muscles. Clinical features of increased COPD severity, including a decrease of blood oxygenation (r = −0.44, p < 0.05) and FEV1/FVC ratio, reflecting airway obstruction (r = −0.53, p < 0.01) and an increase of COPD symptoms (r = 0.37, p < 0.05) and breathing frequency at rest (r = 0.41, p < 0.05), were all associated with a raise of the PCr/Pi ratio in the thigh muscle. Increased MFIa of the thigh muscle correlated positively with markers of systemic inflammation (white blood cell count, r = 0.41, p < 0.05; fibrinogen, r = 0.44, p < 0.05), and negatively with weekly physical activity (r = −0.40, p < 0.05) and the PCr/Pi ratio in the resting thigh muscle (r = −0.41, p < 0.05). Conclusion The present study implies a link between systemic inflammation, excessive MFI and a loss of bioenergetics in subjects with stable COPD.
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Affiliation(s)
- Hans Lennart Persson
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Department of Respiratory Medicine in Linköping, Linköping University, Linköping, Sweden
- Correspondence: Hans Lennart Persson; Apostolos Sioutas, Department of Respiratory Medicine in Linköping, Linköping University, Linköping, SE-581 85, Sweden, Tel +46 0 13 1033621, Email ;
| | - Apostolos Sioutas
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Department of Respiratory Medicine in Linköping, Linköping University, Linköping, Sweden
| | - Magnus Kentson
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Department of Pulmonology, Ryhov County Hospital, Jönköping, Sweden
| | - Petra Jacobson
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Department of Respiratory Medicine in Linköping, Linköping University, Linköping, Sweden
| | - Peter Lundberg
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Department of Radiation Physics in Linköping, Linköping University, Linköping, Sweden
- Centre for Medical Image Science and Visualization, Linköping University, Linköping, Sweden
| | - Olof Dahlqvist Leinhard
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Centre for Medical Image Science and Visualization, Linköping University, Linköping, Sweden
- AMRA Medical AB, Linköping, Sweden
| | - Mikael Fredrik Forsgren
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Centre for Medical Image Science and Visualization, Linköping University, Linköping, Sweden
- AMRA Medical AB, Linköping, Sweden
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Park SS, Perez Perez JL, Perez Gandara B, Agudelo CW, Rodriguez Ortega R, Ahmed H, Garcia-Arcos I, McCarthy C, Geraghty P. Mechanisms Linking COPD to Type 1 and 2 Diabetes Mellitus: Is There a Relationship between Diabetes and COPD? Medicina (B Aires) 2022; 58:medicina58081030. [PMID: 36013497 PMCID: PMC9415273 DOI: 10.3390/medicina58081030] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 07/25/2022] [Accepted: 07/27/2022] [Indexed: 01/09/2023] Open
Abstract
Chronic obstructive pulmonary disease (COPD) patients frequently suffer from multiple comorbidities, resulting in poor outcomes for these patients. Diabetes is observed at a higher frequency in COPD patients than in the general population. Both type 1 and 2 diabetes mellitus are associated with pulmonary complications, and similar therapeutic strategies are proposed to treat these conditions. Epidemiological studies and disease models have increased our knowledge of these clinical associations. Several recent genome-wide association studies have identified positive genetic correlations between lung function and obesity, possibly due to alterations in genes linked to cell proliferation; embryo, skeletal, and tissue development; and regulation of gene expression. These studies suggest that genetic predisposition, in addition to weight gain, can influence lung function. Cigarette smoke exposure can also influence the differential methylation of CpG sites in genes linked to diabetes and COPD, and smoke-related single nucleotide polymorphisms are associated with resting heart rate and coronary artery disease. Despite the vast literature on clinical disease association, little direct mechanistic evidence is currently available demonstrating that either disease influences the progression of the other, but common pharmacological approaches could slow the progression of these diseases. Here, we review the clinical and scientific literature to discuss whether mechanisms beyond preexisting conditions, lifestyle, and weight gain contribute to the development of COPD associated with diabetes. Specifically, we outline environmental and genetic confounders linked with these diseases.
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Affiliation(s)
- Sangmi S. Park
- Department of Medicine, State University of New York Downstate Health Sciences University, Brooklyn, NY 11203, USA; (S.S.P.); (J.L.P.P.); (B.P.G.); (C.W.A.); (R.R.O.); (H.A.); (I.G.-A.)
| | - Jessica L. Perez Perez
- Department of Medicine, State University of New York Downstate Health Sciences University, Brooklyn, NY 11203, USA; (S.S.P.); (J.L.P.P.); (B.P.G.); (C.W.A.); (R.R.O.); (H.A.); (I.G.-A.)
| | - Brais Perez Gandara
- Department of Medicine, State University of New York Downstate Health Sciences University, Brooklyn, NY 11203, USA; (S.S.P.); (J.L.P.P.); (B.P.G.); (C.W.A.); (R.R.O.); (H.A.); (I.G.-A.)
| | - Christina W. Agudelo
- Department of Medicine, State University of New York Downstate Health Sciences University, Brooklyn, NY 11203, USA; (S.S.P.); (J.L.P.P.); (B.P.G.); (C.W.A.); (R.R.O.); (H.A.); (I.G.-A.)
| | - Romy Rodriguez Ortega
- Department of Medicine, State University of New York Downstate Health Sciences University, Brooklyn, NY 11203, USA; (S.S.P.); (J.L.P.P.); (B.P.G.); (C.W.A.); (R.R.O.); (H.A.); (I.G.-A.)
| | - Huma Ahmed
- Department of Medicine, State University of New York Downstate Health Sciences University, Brooklyn, NY 11203, USA; (S.S.P.); (J.L.P.P.); (B.P.G.); (C.W.A.); (R.R.O.); (H.A.); (I.G.-A.)
| | - Itsaso Garcia-Arcos
- Department of Medicine, State University of New York Downstate Health Sciences University, Brooklyn, NY 11203, USA; (S.S.P.); (J.L.P.P.); (B.P.G.); (C.W.A.); (R.R.O.); (H.A.); (I.G.-A.)
| | - Cormac McCarthy
- University College Dublin School of Medicine, Education and Research Centre, St. Vincent’s University Hospital, D04 T6F4 Dublin, Ireland;
| | - Patrick Geraghty
- Department of Medicine, State University of New York Downstate Health Sciences University, Brooklyn, NY 11203, USA; (S.S.P.); (J.L.P.P.); (B.P.G.); (C.W.A.); (R.R.O.); (H.A.); (I.G.-A.)
- Correspondence: ; Tel.: +1-718-270-3141
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7
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Jeon YJ, Han S, Park GM, Lee TY, Park SE, Lee H, Kang BJ. Intramuscular and Intermuscular Abdominal Fat Infiltration in COPD: A Propensity Score Matched Study. Int J Chron Obstruct Pulmon Dis 2021; 16:1989-1999. [PMID: 34262269 PMCID: PMC8275100 DOI: 10.2147/copd.s312888] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 06/16/2021] [Indexed: 12/18/2022] Open
Abstract
Purpose Low-attenuation muscle area (LAMA) and normal-attenuation muscle area (NAMA) indicate lipid-rich and lipid-poor skeletal muscle areas, respectively. Additionally, intermuscular adipose tissue (IMAT) indicates localized fat between muscle groups. In this study, we aimed to evaluate the intramuscular and intermuscular fat infiltration in individuals with chronic obstructive pulmonary disease (COPD) by performing quantitative assessment of the LAMA, NAMA, and IMAT observed on abdominopelvic computed tomography (APCT) images. Patients and Methods We performed a cross-sectional study using data of subjects who underwent a general health examination with APCT at Ulsan University Hospital between March 2014 and June 2019. We classified the subjects into control and COPD groups based on age, smoking history, and pulmonary function results. We compared the attenuation and body mass index adjusted area of intra-abdominal components between the two groups using propensity score matching. We also evaluated these outcomes in COPD subgroups (mild and moderate stage subjects). Results Overall, 6,965 subjects were initially enrolled, and 250 pairs of control and COPD subjects were selected after propensity score matching. The NAMA attenuation (unstandardized β=−1.168, P<0.001) was lower, and the IMAT (unstandardized β=0.042, P=0.006) and LAMA (unstandardized β=0.120, P<0.001) indexes were greater in the COPD group than in the control group. In subgroup analysis, those with mild and moderate COPD also had high IMAT (unstandardized β=0.037, P=0.009 and unstandardized β=0.045, P<0.001) and LAMA (unstandardized β=0.089, P=0.002 and unstandardized β=0.147, P<0.001) indexes compared to the control subjects. However, the NAMA attenuation (unstandardized β=−1.075, P<0.001) and NAMA index (unstandardized β=−0.133, P=0.015) were significantly lower in moderate COPD subjects only. Conclusion Our study showed that intramuscular and intermuscular abdominal fat infiltration could be present in subjects with mild COPD, and it might be exacerbated in those with moderate COPD.
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Affiliation(s)
- Young-Jee Jeon
- Department of Family Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea
| | - Sangyoung Han
- Department of Internal Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea
| | - Gyung-Min Park
- Department of Internal Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea
| | - Tae Young Lee
- Department of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea
| | - Soon Eun Park
- Department of Anesthesiology and Pain Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea
| | - Hyunho Lee
- Department of Anesthesiology and Pain Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea
| | - Byung Ju Kang
- Department of Internal Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea
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8
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Vivodtzev I, Maltais F. Cardiovascular Risk in COPD: Searching for a Culprit. Chest 2021; 157:753-754. [PMID: 32252920 DOI: 10.1016/j.chest.2020.01.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 01/13/2020] [Accepted: 01/14/2020] [Indexed: 11/28/2022] Open
Affiliation(s)
- Isabelle Vivodtzev
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Cambridge, MA; Sorbonne Université, INSERM, UMRS1158 Neurophysiologie Respiratoire Expérimentale et Clinique, F-75005, Paris, France.
| | - François Maltais
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Université Laval, Quebéc City, QC, Canada
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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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Rozenberg D, Orsso CE, Chohan K, Orchanian‐Cheff A, Nourouzpour S, Nicholson JM, Elangeswaran B, Vagaon A, Fidler L, Singer LG, Mathur S. Clinical outcomes associated with computed tomography‐based body composition measures in lung transplantation: a systematic review. Transpl Int 2020; 33:1610-1625. [DOI: 10.1111/tri.13749] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 04/24/2020] [Accepted: 09/13/2020] [Indexed: 12/16/2022]
Affiliation(s)
- Dmitry Rozenberg
- Department of Medicine University of Toronto Toronto ON Canada
- Lung Transplant Program Respirology Toronto General Hospital Research InstituteUniversity Health Network Toronto ON Canada
| | - Camila E. Orsso
- Department of Agricultural, Food and Nutritional Science University of Alberta Edmonton AB Canada
| | - Karan Chohan
- Department of Medicine University of Toronto Toronto ON Canada
| | - Ani Orchanian‐Cheff
- Library and Information Services University Health Network Toronto ON Canada
| | - Sahar Nourouzpour
- Lung Transplant Program Respirology Toronto General Hospital Research InstituteUniversity Health Network Toronto ON Canada
| | | | - Brenawen Elangeswaran
- Lung Transplant Program Respirology Toronto General Hospital Research InstituteUniversity Health Network Toronto ON Canada
| | - Andrei Vagaon
- Department of Medicine University of Toronto Toronto ON Canada
| | - Lee Fidler
- Department of Medicine University of Toronto Toronto ON Canada
- Respirology Sunnybrook Health Sciences Centre Toronto ON Canada
| | - Lianne G. Singer
- Department of Medicine University of Toronto Toronto ON Canada
- Lung Transplant Program Respirology Toronto General Hospital Research InstituteUniversity Health Network Toronto ON Canada
| | - Sunita Mathur
- Department of Physical Therapy University of Toronto Toronto ON Canada
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Poltronieri TS, de Paula NS, Chaves GV. Assessing skeletal muscle radiodensity by computed tomography: An integrative review of the applied methodologies. Clin Physiol Funct Imaging 2020; 40:207-223. [PMID: 32196914 DOI: 10.1111/cpf.12629] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 03/04/2020] [Accepted: 03/12/2020] [Indexed: 12/15/2022]
Abstract
Low-radiodensity skeletal muscle has been related to the degree of muscle fat infiltration and seems to be associated with worse outcomes. The aim of this study was to summarize the methodologies used to appraise skeletal muscle radiodensity by computed tomography, to describe the terms used in the literature to define muscle radiodensity and to give recommendations for its measurement standardization. An integrative bibliographic review in four databases included studies published until August 2019 in Portuguese, English or Spanish and performed in humans, adults and/or the elderly, of both sex, which investigated skeletal muscle radiodensity through computed tomography (CT) of the region between the third and fifth lumbar vertebrae and evaluated at least two muscular groups. One hundred and seventeen studies were selected. We observed a trend towards selecting all abdominal region muscle. A significant methodological variation in terms of contrast use, selection of skeletal muscle areas, radiodensity ranges delimitation and their cut-off points, as well as the terminologies used, was also found. The methodological differences detected are probably due to the lack of more precise information about the correlation between skeletal muscle radiodensity by CT and its molecular composition, among others. Therefore, until the gaps are addressed in future studies, authors should avoid arbitrary approaches when reporting skeletal muscle radiodensity, especially when it comes to prognosis inference. Studies using both CT and direct methods of muscle composition evaluation are encouraged, to enable the definition and validation of the best approach to classify fat-infiltrated muscle tissue, which will favour the nomenclature uniformization.
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Affiliation(s)
- Taiara Scopel Poltronieri
- Department of Nutrition, National Cancer Institute José Alencar Gomes da Silva (INCA), Rio de Janeiro, Brazil
| | - Nathália Silva de Paula
- Department of Nutrition, National Cancer Institute José Alencar Gomes da Silva (INCA), Rio de Janeiro, Brazil
| | - Gabriela Villaça Chaves
- Department of Nutrition, National Cancer Institute José Alencar Gomes da Silva (INCA), Rio de Janeiro, Brazil
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Metabolic profiles among COPD and controls in the CanCOLD population-based cohort. PLoS One 2020; 15:e0231072. [PMID: 32275684 PMCID: PMC7147771 DOI: 10.1371/journal.pone.0231072] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 03/15/2020] [Indexed: 12/28/2022] Open
Abstract
A high prevalence of intermediate cardiometabolic risk factors and obesity in chronic obstructive pulmonary disease (COPD) has suggested the existence of pathophysiological links between hypertriglyceridemia, insulin resistance, visceral adiposity, and hypoxia or impaired pulmonary function. However, whether COPD contributes independently to the development of these cardiometabolic risk factors remains unclear. Our objective was to compare ectopic fat and metabolic profiles among representative individuals with COPD and control subjects and to evaluate whether the presence of COPD alters the metabolic risk profile. Study participants were randomly selected from the general population and prospectively classified as non-COPD controls and COPD, according to the Global Initiative for Chronic Obstructive Lung Disease classification. The metabolic phenotype, which consisted of visceral adipose tissue area, metabolic markers including homeostasis model assessment of insulin resistance (HOMA-IR), and blood lipid profile, was obtained in 144 subjects with COPD and 119 non-COPD controls. The metabolic phenotype was similar in COPD and controls. The odds ratios for having pathologic values for HOMA-IR, lipids and visceral adipose tissue area were similar in individuals with COPD and control subjects in multivariate analyses that took into account age, sex, body mass index, tobacco status and current medications. In a population-based cohort, no difference was found in the metabolic phenotype, including visceral adipose tissue accumulation, between COPD and controls. Discrepancies between the present and previous studies as to whether or not COPD is a risk factor for metabolic abnormalities could be related to differences in COPD phenotype or disease severity of the study populations.
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