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Choi JY, Rhee CK. It is high time to discard a cut-off of 0.70 in the diagnosis of COPD. Expert Rev Respir Med 2024; 18:709-719. [PMID: 39189795 DOI: 10.1080/17476348.2024.2397480] [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: 01/10/2024] [Accepted: 08/23/2024] [Indexed: 08/28/2024]
Abstract
INTRODUCTION Chronic obstructive pulmonary disease (COPD) has traditionally been diagnosed based on the criterion of an FEV1/FVC <0.70. However, this definition has limitations as it may only detect patients with later-stage disease, when pathologic changes have become irreversible. Consequently, it potentially omits individuals with early-stage disease, in whom the pathologic changes could be delayed or reversed. AREAS COVERED This narrative review summarizes recent evidence regarding early-stage COPD, which may not fulfill the spirometric criteria but nonetheless exhibits features of COPD or is at risk of future COPD progression. EXPERT OPINION A comprehensive approach, including symptoms assessment, various physiologic tests, and radiologic features, is required to diagnose COPD. This approach is necessary to identify currently underdiagnosed patients and to halt disease progression in at- risk patients.
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Affiliation(s)
- Joon Young Choi
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Chin Kook Rhee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
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2
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Lovinsky-Desir S, Hirsch JA, Hoffman EA, Allen NB, Bertoni AG, Guo J, Jacobs DR, Laine AF, Malinsky D, Michos ED, Sack C, Shen W, Watson KE, Wysoczanski A, Barr RG, Smith BM. Indices of Childhood Socioeconomic Status and Dysanapsis among Older Adults: The Multi-Ethnic Study of Atherosclerosis Lung Study. Ann Am Thorac Soc 2024; 21:1338-1342. [PMID: 38747708 PMCID: PMC11376360 DOI: 10.1513/annalsats.202401-006rl] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 05/08/2024] [Indexed: 05/26/2024] Open
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Wei Shen
- Columbia UniversityNew York, New York
| | | | | | | | - Benjamin M. Smith
- Columbia UniversityNew York, New York
- McGill UniversityMontreal, Quebec, Canada
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3
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Angelini ED, Yang J, Balte PP, Hoffman EA, Manichaikul AW, Sun Y, Shen W, Austin JHM, Allen NB, Bleecker ER, Bowler R, Cho MH, Cooper CS, Couper D, Dransfield MT, Garcia CK, Han MK, Hansel NN, Hughes E, Jacobs DR, Kasela S, Kaufman JD, Kim JS, Lappalainen T, Lima J, Malinsky D, Martinez FJ, Oelsner EC, Ortega VE, Paine R, Post W, Pottinger TD, Prince MR, Rich SS, Silverman EK, Smith BM, Swift AJ, Watson KE, Woodruff PG, Laine AF, Barr RG. Pulmonary emphysema subtypes defined by unsupervised machine learning on CT scans. Thorax 2023; 78:1067-1079. [PMID: 37268414 PMCID: PMC10592007 DOI: 10.1136/thorax-2022-219158] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 05/03/2023] [Indexed: 06/04/2023]
Abstract
BACKGROUND Treatment and preventative advances for chronic obstructive pulmonary disease (COPD) have been slow due, in part, to limited subphenotypes. We tested if unsupervised machine learning on CT images would discover CT emphysema subtypes with distinct characteristics, prognoses and genetic associations. METHODS New CT emphysema subtypes were identified by unsupervised machine learning on only the texture and location of emphysematous regions on CT scans from 2853 participants in the Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS), a COPD case-control study, followed by data reduction. Subtypes were compared with symptoms and physiology among 2949 participants in the population-based Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study and with prognosis among 6658 MESA participants. Associations with genome-wide single-nucleotide-polymorphisms were examined. RESULTS The algorithm discovered six reproducible (interlearner intraclass correlation coefficient, 0.91-1.00) CT emphysema subtypes. The most common subtype in SPIROMICS, the combined bronchitis-apical subtype, was associated with chronic bronchitis, accelerated lung function decline, hospitalisations, deaths, incident airflow limitation and a gene variant near DRD1, which is implicated in mucin hypersecretion (p=1.1 ×10-8). The second, the diffuse subtype was associated with lower weight, respiratory hospitalisations and deaths, and incident airflow limitation. The third was associated with age only. The fourth and fifth visually resembled combined pulmonary fibrosis emphysema and had distinct symptoms, physiology, prognosis and genetic associations. The sixth visually resembled vanishing lung syndrome. CONCLUSION Large-scale unsupervised machine learning on CT scans defined six reproducible, familiar CT emphysema subtypes that suggest paths to specific diagnosis and personalised therapies in COPD and pre-COPD.
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Affiliation(s)
- Elsa D Angelini
- Department of Biomedical Engineering, Columbia University, New York, New York, USA
- LTCI, Institut Polytechnique de Paris, Telecom Paris, Palaiseau, France
- NIHR Imperial Biomedical Research Centre, ITMAT Data Science Group, Imperial College, London, UK
| | - Jie Yang
- Department of Biomedical Engineering, Columbia University, New York, New York, USA
| | - Pallavi P Balte
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Eric A Hoffman
- Departments of Radiology, Medicine and Biomedical Engineering, University of Iowa, Iowa City, Iowa, USA
| | - Ani W Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, USA
| | - Yifei Sun
- Department of Biostatistics, Columbia University Irving Medical Center, New York, New York, USA
| | - Wei Shen
- Department of Pediatrics, Institute of Human Nutrition, Columbia University Irving Medical Center, New York, New York, USA
- Columbia Magnetic Resonance Research Center (CMRRC), Columbia University Irving Medical Center, New York, New York, USA
| | - John H M Austin
- Department of Radiology, Columbia University Irving Medical Center, New York, New York, USA
| | - Norrina B Allen
- Institute for Public Health and Medicine (IPHAM) - Center for Epidemiology and Population Health, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Eugene R Bleecker
- Department of Medicine, University of Arizona Health Sciences, Tucson, Arizona, USA
| | - Russell Bowler
- Department of Medicine, National Jewish Health, Denver, Colorado, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | | | - David Couper
- Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, USA
| | | | - Christine Kim Garcia
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - MeiLan K Han
- Department of Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Nadia N Hansel
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Emlyn Hughes
- Department of Physics, Columbia University, New York, New York, USA
| | - David R Jacobs
- Division of Epidemiology and Community Public Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Silva Kasela
- Department of Systems Biology, Columbia University Irving Medical Center, New York, New York, USA
- New York Genome Center, New York, New York, USA
| | - Joel Daniel Kaufman
- Departments of Environmental & Occupational Health Sciences, Medicine, and Epidemiology, University of Washington, Seattle, Washington, USA
| | - John Shinn Kim
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
- Department of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Tuuli Lappalainen
- Department of Systems Biology, Columbia University Irving Medical Center, New York, New York, USA
| | - Joao Lima
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Daniel Malinsky
- Department of Biostatistics, Columbia University Irving Medical Center, New York, New York, USA
| | - Fernando J Martinez
- Department of Medicine, Cornell University Joan and Sanford I Weill Medical College, New York, New York, USA
| | - Elizabeth C Oelsner
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Victor E Ortega
- Department of Pulmonary Medicine, Mayo Clinic, Phoenix, Arizona, USA
| | - Robert Paine
- Department of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Wendy Post
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Tess D Pottinger
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Martin R Prince
- Department of Radiology, Cornell University Joan and Sanford I Weill Medical College, New York, New York, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Benjamin M Smith
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
- Department of Medicine, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Andrew J Swift
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
- Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, UK
| | - Karol E Watson
- Department of Medicine, University of California, Los Angeles, California, USA
| | - Prescott G Woodruff
- Department of Medicine, University of California, San Francisco, California, USA
| | - Andrew F Laine
- Department of Biomedical Engineering, Columbia University, New York, New York, USA
- Columbia Magnetic Resonance Research Center (CMRRC), Columbia University Irving Medical Center, New York, New York, USA
- Department of Radiology, Columbia University Irving Medical Center, New York, New York, USA
| | - R Graham Barr
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
- Department of Epidemiology, Columbia University Irving Medical Center, New York, New York, USA
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Wu F, Zheng Y, Zhao N, Peng J, Deng Z, Yang H, Tian H, Xiao S, Wen X, Huang P, Dai C, Lu L, Zhou K, Wu X, Fan H, Li H, Sun R, Yang C, Chen S, Huang J, Yu S, Zhou Y, Ran P. Clinical features and 1-year outcomes of chronic bronchitis in participants with normal spirometry: results from the ECOPD study in China. BMJ Open Respir Res 2023; 10:10/1/e001449. [PMID: 37028909 PMCID: PMC10083876 DOI: 10.1136/bmjresp-2022-001449] [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: 09/09/2022] [Accepted: 03/24/2023] [Indexed: 04/09/2023] Open
Abstract
BACKGROUND Evidence regarding clinical features and outcomes of individuals with non-obstructive chronic bronchitis (NOCB) remains scarce, especially in never-smokers. We aimed to investigate the clinical features and 1-year outcomes of individuals with NOCB in the Chinese population. METHODS We obtained data on participants in the Early Chronic Obstructive Pulmonary Disease Study who had normal spirometry (post-bronchodilator forced expiratory volume in 1 s/forced vital capacity ≥0.70). NOCB was defined as chronic cough and sputum production for at least 3 months for two consecutive years or more at baseline in participants with normal spirometry. We assessed the differences in demographics, risk factors, lung function, impulse oscillometry, CT imaging and frequency of acute respiratory events between participants with and without NOCB. RESULTS NOCB was present in 13.1% (149/1140) of participants with normal spirometry at baseline. Compared with participants without NOCB, those with NOCB had a higher proportion of men and participants with smoke exposure, occupational exposure, family history of respiratory diseases and worse respiratory symptoms (all p<0.05), but there was no significant difference in lung function. Never-smokers with NOCB had higher rates of emphysema than those without NOCB, but airway resistance was similar. Ever-smokers with NOCB had greater airway resistance than those without NOCB, but emphysema rates were similar. During 1-year follow-up, participants with NOCB had a significantly increased risk of acute respiratory events compared with participants who did not have NOCB, after adjustment for confounders (risk ratio 2.10, 95% CI 1.32 to 3.33; p=0.002). These results were robust in never-smokers and ever-smokers. CONCLUSIONS Never-smokers and ever-smokers with NOCB had more chronic obstructive pulmonary disease-related risk factors, evidence of airway disease and greater risk of acute respiratory events than those without NOCB. Our findings support expanding the criteria defining pre-COPD to include NOCB.
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Affiliation(s)
- Fan Wu
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
- Guangzhou Laboratory, Guangzhou, People's Republic of China
| | - Youlan Zheng
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Ningning Zhao
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Jieqi Peng
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
- Guangzhou Laboratory, Guangzhou, People's Republic of China
| | - Zhishan Deng
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Huajing Yang
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Heshen Tian
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Shan Xiao
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Xiang Wen
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Peiyu Huang
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Cuiqiong Dai
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Lifei Lu
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Kunning Zhou
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Xiaohui Wu
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Huanhuan Fan
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Haiqing Li
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Ruiting Sun
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Changli Yang
- Department of Pulmonary and Critical Care Medicine, Wengyuan County People's Hospital, Shaoguan, People's Republic of China
| | - Shengtang Chen
- Medical Imaging Center, Wengyuan County People's Hospital, Shaogguan, People's Republic of China
| | - Jianhui Huang
- Department of Internal Medicine, Lianping County People's Hospital, Heyuan, People's Republic of China
| | - Shuqing Yu
- Lianping County Hospital of Traditional Chinese Medicine, Heyuan, People's Republic of China
| | - Yumin Zhou
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
- Guangzhou Laboratory, Guangzhou, People's Republic of China
| | - Pixin Ran
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
- Guangzhou Laboratory, Guangzhou, People's Republic of China
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Polverino F, Stern DA, Snyder EM, Wheatley-Guy C, Bhatt SP, Martinez FD, Guerra S, Morgan WJ. Lower respiratory illnesses in childhood are associated with the presence of air trapping in early adulthood. Respir Med 2023; 206:107062. [PMID: 36508986 PMCID: PMC10389168 DOI: 10.1016/j.rmed.2022.107062] [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] [Received: 08/22/2022] [Revised: 11/18/2022] [Accepted: 11/22/2022] [Indexed: 11/26/2022]
Abstract
Several factors occurring in early life, including lower respiratory tract illnesses (LRIs), are involved in determining lung structure and function in adulthood, but the effects of these factors on lung development remain largely unknown. Hereby, we evaluated the parameters from computed tomography (CT) scans performed at the age of 26 years in 39 subjects from the birth cohort of the Tucson Children's Respiratory Study (TCRS) in order to determine the relationship between early childhood factors and lung structural changes in young adult life. We found that participants with LRIs in childhood had increased air trapping at the age of 26 suggesting an association between childhood infections and lung development.
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Affiliation(s)
- Francesca Polverino
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, AZ, 85719, USA; Pulmonary and Critical Care Medicine, Baylor College of Medicine, Houston, TX, 77030, USA.
| | - Debra A Stern
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, AZ, 85719, USA
| | | | | | - Surya P Bhatt
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL, 35924, USA
| | - Fernando D Martinez
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, AZ, 85719, USA
| | - Stefano Guerra
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, AZ, 85719, USA
| | - Wayne J Morgan
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, AZ, 85719, USA
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6
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Liu GY, Khan SS, Colangelo LA, Meza D, Washko GR, Sporn PHS, Jacobs DR, Dransfield MT, Carnethon MR, Kalhan R. Comparing Racial Differences in Emphysema Prevalence Among Adults With Normal Spirometry: A Secondary Data Analysis of the CARDIA Lung Study. Ann Intern Med 2022; 175:1118-1125. [PMID: 35849828 PMCID: PMC9673050 DOI: 10.7326/m22-0205] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Computed tomography (CT) imaging complements spirometry and may provide insight into racial disparities in respiratory health. OBJECTIVE To determine the difference in emphysema prevalence between Black and White adults with different measures of normal spirometry results. DESIGN Observational study using clinical data and spirometry from the CARDIA (Coronary Artery Risk Development in Young Adults) study obtained in 2015 to 2016 and CT scans done in 2010 to 2011. SETTING 4 U.S. centers. PARTICIPANTS Population-based sample of Black and White adults. MEASUREMENTS Self-identified race and visually identified emphysema on CT in participants with different measures of "normal" spirometry results, calculated using standard race-specific and race-neutral reference equations. RESULTS A total of 2674 participants (485 Black men, 762 Black women, 659 White men, and 768 White women) had both a CT scan and spirometry available for analysis. Among participants with a race-specific FEV1 between 80% and 99% of predicted, 6.5% had emphysema. In this group, emphysema prevalence was 3.9-fold (95% CI, 2.1- to 7.1-fold; 15.5% vs. 4.0%) higher among Black men than White men and 1.9-fold (CI, 1.0- to 3.8-fold; 6.6% vs. 3.4%) higher among Black women than White women. Among participants with a race-specific FEV1 between 100% and 120% of predicted, 4.0% had emphysema. In this category, Black men had a 6.4-fold (CI, 2.2- to 18.7-fold; 13.9% vs. 2.2%) higher prevalence of emphysema than White men, whereas Black and White women had a similar prevalence of emphysema (2.6% and 2.0%, respectively). The use of race-neutral equations to identify participants with an FEV1 percent predicted between 80% and 120% attenuated racial differences in emphysema prevalence among men and eliminated racial differences among women. LIMITATION No CT scans were obtained during the most recent study visit (2015 to 2016) when spirometry was done. CONCLUSION Emphysema is often present before spirometry findings become abnormal, particularly among Black men. Reliance on spirometry alone to differentiate lung health from lung disease may result in the underrecognition of impaired respiratory health and exacerbate racial disparities. PRIMARY FUNDING SOURCE National Institutes of Health.
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Affiliation(s)
- Gabrielle Y Liu
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois (G.Y.L., D.M., P.H.S.S.)
| | - Sadiya S Khan
- Division of Cardiology, Department of Medicine, and Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois (S.S.K.)
| | - Laura A Colangelo
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois (L.A.C.)
| | - Daniel Meza
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois (G.Y.L., D.M., P.H.S.S.)
| | - George R Washko
- Applied Chest Imaging Laboratory and Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts (G.R.W.)
| | - Peter H S Sporn
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois (G.Y.L., D.M., P.H.S.S.)
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota (D.R.J.)
| | - Mark T Dransfield
- Lung Health Center, University of Alabama at Birmingham, Birmingham, Alabama (M.T.D.)
| | - Mercedes R Carnethon
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, and Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois (M.R.C., R.K.)
| | - Ravi Kalhan
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, and Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois (M.R.C., R.K.)
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7
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Lin H, Wang C, Yu H, Liu Y, Tan L, He S, Li Z, Wang C, Wang F, Li P, Liu J. Protective effect of total Saponins from American ginseng against cigarette smoke-induced COPD in mice based on integrated metabolomics and network pharmacology. Biomed Pharmacother 2022; 149:112823. [PMID: 35334426 DOI: 10.1016/j.biopha.2022.112823] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Revised: 03/11/2022] [Accepted: 03/11/2022] [Indexed: 11/02/2022] Open
Abstract
Chronic obstructive pulmonary disease (COPD) is a prevalent respiratory disease. Aiming at assessing the effect of total saponins from American ginseng on COPD, both the chemical composition and anti-COPD activity of total saponins from wild-simulated American ginseng (TSW) and field-grown American ginseng (TSF) were investigated in this study. Firstly, a HPLC-ELSD chromatographic method was established to simultaneously determine the contents of 22 saponins in TSW and TSF. Secondly, CS-induced COPD mouse model was established to evaluate the activity of TSW and TSF. The results indicated that both TSW and TSF had the protective effect against COPD by alleviating oxidative stress and inflammatory response. TSW showed a stronger effect than TSF. Thirdly, an integrated approach involving metabolomics and network pharmacology was used to construct the "biomarker-reaction-enzyme-target" correlation network aiming at further exploring the observed effects. As the results, 15 biomarkers, 9 targets and 5 pathways were identified to play vital roles in the treatment of TSW and TSF on COPD. Fourthly, based on network pharmacology and the CS-stimulated A549 cell model, ginsenoside Rgl, Rc, oleanolic acid, notoginsenoside R1, Fe, silphioside B were certified to be the material basis for the stronger effect of TSW than TSF. Finally, the molecular docking were performed to visualize the binding modes. Our findings suggested that both TSW and TSF could effectively ameliorate the progression of COPD and might be used for the treatment of COPD.
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Affiliation(s)
- Hongqiang Lin
- School of Pharmaceutical Sciences, Jilin University, Changchun 130021, China
| | - Caixia Wang
- School of Pharmaceutical Sciences, Jilin University, Changchun 130021, China
| | - Hui Yu
- School of Pharmaceutical Sciences, Jilin University, Changchun 130021, China
| | - Yunhe Liu
- School of Pharmaceutical Sciences, Jilin University, Changchun 130021, China
| | - Luying Tan
- School of Pharmaceutical Sciences, Jilin University, Changchun 130021, China
| | - Shanmei He
- School of Pharmaceutical Sciences, Jilin University, Changchun 130021, China
| | - Zhuoqiao Li
- School of Pharmaceutical Sciences, Jilin University, Changchun 130021, China
| | - Cuizhu Wang
- School of Pharmaceutical Sciences, Jilin University, Changchun 130021, China; Research Center of Natural Drug, Jilin University, Changchun 130021, China
| | - Fang Wang
- College of Basic Medical Sciences, Jilin University, Changchun 130021, China
| | - Pingya Li
- School of Pharmaceutical Sciences, Jilin University, Changchun 130021, China; Research Center of Natural Drug, Jilin University, Changchun 130021, China
| | - Jinping Liu
- School of Pharmaceutical Sciences, Jilin University, Changchun 130021, China; Research Center of Natural Drug, Jilin University, Changchun 130021, China.
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8
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Sin S, Lim MN, Kim J, Bak SH, Kim WJ. Association between plasma sRAGE and emphysema according to the genotypes of AGER gene. BMC Pulm Med 2022; 22:58. [PMID: 35144588 PMCID: PMC8832795 DOI: 10.1186/s12890-022-01848-9] [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] [Received: 05/04/2021] [Accepted: 01/31/2022] [Indexed: 11/22/2022] Open
Abstract
Background Higher soluble receptor for advanced glycation end product (sRAGE) levels are considered to be associated with severe emphysema. However, the relationship remains uncertain when the advanced glycation end-product specific receptor (AGER) gene is involved. We aimed to analyse the association between sRAGE levels and emphysema according to the genotypes of rs2070600 in the AGER gene. Methods We genotyped rs2070600 and measured the plasma concentration of sRAGE in each participant. Emphysema was quantified based on the chest computed tomography findings. We compared sRAGE levels based on the presence or absence and severity of emphysema in each genotype. Multiple logistic and linear regression models were used for the analyses. Results A total of 436 participants were included in the study. Among them, 64.2% had chronic obstructive pulmonary disease and 34.2% had emphysema. Among the CC-genotyped participants, the sRAGE level was significantly higher in participants without emphysema than in those with emphysema (P < 0.001). In addition, sRAGE levels were negatively correlated with emphysema severity in CC-genotyped patients (r = − 0.268 P < 0.001). Multiple regression analysis revealed that sRAGE was an independent protective factor for the presence of emphysema (adjusted odds ratio, 0.24; 95% confidence interval (CI) 0.11–0.51) and severity of emphysema (β = − 3.28, 95% CI − 4.86 to − 1.70) in CC-genotyped participants. Conclusion Plasma sRAGE might be a biomarker with a protective effect on emphysema among CC-genotyped patients of rs2070600 on the AGER gene. This is important in determining the target group for the future prediction and treatment of emphysema. Supplementary Information The online version contains supplementary material available at 10.1186/s12890-022-01848-9.
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Affiliation(s)
- Sooim Sin
- Department of Internal Medicine, School of Medicine, Kangwon National University Hospital, Kangwon National University, Chuncheon, 24341, Republic of Korea
| | - Myung-Nam Lim
- Department of Internal Medicine and Environmental Health Center, School of Medicine, Kangwon National University Hospital, Kangwon National University, Chuncheon, Republic of Korea
| | - Jeeyoung Kim
- Department of Internal Medicine and Environmental Health Center, School of Medicine, Kangwon National University Hospital, Kangwon National University, Chuncheon, Republic of Korea
| | - So Hyeon Bak
- Department of Radiology, , School of Medicine, Kangwon National University Hospital, Kangwon National University, Chuncheon, Republic of Korea
| | - Woo Jin Kim
- Department of Internal Medicine, School of Medicine, Kangwon National University Hospital, Kangwon National University, Chuncheon, 24341, Republic of Korea.
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9
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Ezponda A, Casanova C, Divo M, Marín-Oto M, Cabrera C, Marín JM, Bastarrika G, Pinto-Plata V, Martin-Palmero Á, Polverino F, Celli BR, de Torres JP. Chest CT-assessed comorbidities and all-cause mortality risk in COPD patients in the BODE cohort. Respirology 2022; 27:286-293. [PMID: 35132732 PMCID: PMC9303420 DOI: 10.1111/resp.14223] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 01/11/2022] [Accepted: 01/19/2022] [Indexed: 12/16/2022]
Abstract
BACKGROUND AND OBJECTIVE The availability of chest computed tomography (CT) imaging can help diagnose comorbidities associated with chronic obstructive pulmonary disease (COPD). Their systematic identification and relationship with all-cause mortality have not been explored. Furthermore, whether their CT-detected prevalence differs from clinical diagnosis is unknown. METHODS The prevalence of 10 CT-assessed comorbidities was retrospectively determined at baseline in 379 patients (71% men) with mild to severe COPD attending pulmonary clinics. Anthropometrics, smoking history, dyspnoea, lung function, exercise capacity, BODE (BMI, Obstruction, Dyspnoea and Exercise capacity) index and exacerbations rate were recorded. The prevalence of CT-determined comorbidities was compared with that recorded clinically. Over a median of 78 months of observation, the independent association with all-cause mortality was analysed. A 'CT-comorbidome' graphically expressed the strength of their association with mortality risk. RESULTS Coronary artery calcification, emphysema and bronchiectasis were the most prevalent comorbidities (79.8%, 62.7% and 33.9%, respectively). All were underdiagnosed before CT. Coronary artery calcium (hazard ratio [HR] 2.09; 95% CI 1.03-4.26, p = 0.042), bronchiectasis (HR 2.12; 95% CI 1.05-4.26, p = 0.036) and low psoas muscle density (HR 2.61; 95% CI 1.23-5.57, p = 0.010) were independently associated with all-cause mortality and helped define the 'CT-comorbidome'. CONCLUSION This study of COPD patients shows that systematic detection of 10 CT-diagnosed comorbidities, most of which were not detected clinically, provides information of potential use to patients and clinicians caring for them.
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Affiliation(s)
- Ana Ezponda
- Radiology Department, Clínica Universidad de Navarra, Pamplona, Spain
| | - Ciro Casanova
- Pulmonary Department, Hospital Ntra Sra de Candelaria, Tenerife, Spain.,Respiratory Research Unit, Hospital Ntra Sra de Candelaria, Tenerife, Spain
| | - Miguel Divo
- Pulmonary Department, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Marta Marín-Oto
- Pulmonary Department, Clínica Universidad de Navarra, Pamplona, Spain
| | - Carlos Cabrera
- Pulmonary Department, Hospital Universitario Doctor Negrín, Las Palmas, Spain
| | - Jose M Marín
- Pulmonary Department, Hospital Universitario Miguel Servet, Instituto Aragonés Ciencias Salud & CIBERES, Zaragoza, Spain
| | - Gorka Bastarrika
- Radiology Department, Clínica Universidad de Navarra, Pamplona, Spain
| | - Víctor Pinto-Plata
- Pulmonary Department, Baystate Medical Center, Springfield, Massachusetts, USA
| | | | - Francesca Polverino
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, Arizona, USA
| | - Bartolome R Celli
- Pulmonary Department, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Juan P de Torres
- Pulmonary Department, Clínica Universidad de Navarra, Pamplona, Spain.,Respiratory Investigation Unit, Queen's University, Kingston, Ontario, Canada.,Respirology and Sleep Medicine Division, Queen's University, Kingston, Ontario, Canada
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10
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Sin S, Choi HM, Lim J, Kim J, Bak SH, Choi SS, Park J, Lee JH, Oh YM, Lee MK, Hobbs BD, Cho MH, Silverman EK, Kim WJ. A genome-wide association study of quantitative computed tomographic emphysema in Korean populations. Sci Rep 2021; 11:16692. [PMID: 34404834 PMCID: PMC8371078 DOI: 10.1038/s41598-021-95887-7] [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: 11/24/2020] [Accepted: 06/28/2021] [Indexed: 11/18/2022] Open
Abstract
Emphysema is an important feature of chronic obstructive pulmonary disease (COPD). Genetic factors likely affect emphysema pathogenesis, but this question has predominantly been studied in those of European ancestry. In this study, we sought to determine genetic components of emphysema severity and characterize the potential function of the associated loci in Korean population. We performed a genome-wide association study (GWAS) on quantitative emphysema in subjects with or without COPD from two Korean COPD cohorts. We investigated the functional consequences of the loci using epigenetic annotation and gene expression data. We also compared our GWAS results with an epigenome-wide association study and previous differential gene expression analysis. In total, 548 subjects (476 [86.9%] male) including 514 COPD patients were evaluated. We identified one genome-wide significant SNP (P < 5.0 × 10-8), rs117084279, near PIBF1. We identified an additional 57 SNPs (P < 5.0 × 10-6) associated with emphysema in all subjects, and 106 SNPs (P < 5.0 × 10-6) in COPD patients. Of these candidate SNPs, 2 (rs12459249, rs11667314) near CYP2A6 were expression quantitative trait loci in lung tissue and a SNP (rs11214944) near NNMT was an expression quantitative trait locus in whole blood. Of note, rs11214944 was in linkage disequilibrium with variants in enhancer histone marks in lung tissue. Several genes near additional SNPs were identified in our previous EWAS study with nominal level of significance. We identified a novel SNP associated with quantitative emphysema on CT. Including the novel SNP, several candidate SNPs in our study may provide clues to the genetic etiology of emphysema in Asian populations. Further research and validation of the loci will help determine the genetic factors for the development of emphysema.
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Affiliation(s)
- Sooim Sin
- grid.412010.60000 0001 0707 9039Department of Internal Medicine, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea
| | - Hye-Mi Choi
- grid.412010.60000 0001 0707 9039Division of Biomedical Convergence, College of Biomedical Science, and Institute of Bioscience & Biotechnology, Kangwon National University, Chuncheon, Republic of Korea
| | - Jiwon Lim
- grid.412010.60000 0001 0707 9039Division of Biomedical Convergence, College of Biomedical Science, and Institute of Bioscience & Biotechnology, Kangwon National University, Chuncheon, Republic of Korea
| | - Jeeyoung Kim
- grid.412010.60000 0001 0707 9039Department of Internal Medicine, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea
| | - So Hyeon Bak
- grid.412010.60000 0001 0707 9039Department of Radiology, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Republic of Korea
| | - Sun Shim Choi
- grid.412010.60000 0001 0707 9039Division of Biomedical Convergence, College of Biomedical Science, and Institute of Bioscience & Biotechnology, Kangwon National University, Chuncheon, Republic of Korea
| | - Jinkyeong Park
- grid.470090.a0000 0004 1792 3864Department of Internal Medicine, Dongguk University Ilsan Hospital, Goyang, Republic of Korea
| | - Jin Hwa Lee
- grid.255649.90000 0001 2171 7754Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, College of Medicine, Ewha Womans University, Seoul, Korea
| | - Yeon-Mok Oh
- grid.267370.70000 0004 0533 4667Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Mi Kyeong Lee
- grid.280664.e0000 0001 2110 5790Epidemiology Branch, Division of Intramural Research, Department of Health and Human Services, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC USA
| | - Brian D. Hobbs
- grid.38142.3c000000041936754XChanning Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA ,grid.38142.3c000000041936754XDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA
| | - Michael H. Cho
- grid.38142.3c000000041936754XChanning Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA ,grid.38142.3c000000041936754XDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA
| | - Edwin K. Silverman
- grid.38142.3c000000041936754XChanning Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA ,grid.38142.3c000000041936754XDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA
| | - Woo Jin Kim
- Department of Internal Medicine, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea.
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11
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Pistenmaa CL, Nardelli P, Ash SY, Come CE, Diaz AA, Rahaghi FN, Barr RG, Young KA, Kinney GL, Simmons JP, Wade RC, Wells JM, Hokanson JE, Washko GR, San José Estépar R. Pulmonary Arterial Pruning and Longitudinal Change in Percent Emphysema and Lung Function: The Genetic Epidemiology of COPD Study. Chest 2021; 160:470-480. [PMID: 33607083 PMCID: PMC8411454 DOI: 10.1016/j.chest.2021.01.084] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 12/28/2020] [Accepted: 01/23/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Pulmonary endothelial damage has been shown to precede the development of emphysema in animals, and vascular changes in humans have been observed in COPD and emphysema. RESEARCH QUESTION Is intraparenchymal vascular pruning associated with longitudinal progression of emphysema on CT imaging or decline in lung function over 5 years? STUDY DESIGN AND METHODS The Genetic Epidemiology of COPD Study enrolled ever smokers with and without COPD from 2008 through 2011. The percentage of emphysema-like lung, or "percent emphysema," was assessed at baseline and after 5 years on noncontrast CT imaging as the percentage of lung voxels < -950 Hounsfield units. An automated CT imaging-based tool assessed and classified intrapulmonary arteries and veins. Spirometry measures are postbronchodilator. Pulmonary arterial pruning was defined as a lower ratio of small artery volume (< 5 mm2 cross-sectional area) to total lung artery volume. Mixed linear models included demographics, anthropomorphics, smoking, and COPD, with emphysema models also adjusting for CT imaging scanner and lung function models adjusting for clinical center and baseline percent emphysema. RESULTS At baseline, the 4,227 participants were 60 ± 9 years of age, 50% were women, 28% were Black, 47% were current smokers, and 41% had COPD. Median percent emphysema was 2.1 (interquartile range, 0.6-6.3) and progressed 0.24 percentage points/y (95% CI, 0.22-0.26 percentage points/y) over 5.6 years. Mean FEV1 to FVC ratio was 68.5 ± 14.2% and declined 0.26%/y (95% CI, -0.30 to -0.23%/y). Greater pulmonary arterial pruning was associated with more rapid progression of percent emphysema (0.11 percentage points/y per 1-SD increase in arterial pruning; 95% CI, 0.09-0.16 percentage points/y), including after adjusting for baseline percent emphysema and FEV1. Arterial pruning also was associated with a faster decline in FEV1 to FVC ratio (-0.04%/y per 1-SD increase in arterial pruning; 95% CI, -0.008 to -0.001%/y). INTERPRETATION Pulmonary arterial pruning was associated with faster progression of percent emphysema and more rapid decline in FEV1 to FVC ratio over 5 years in ever smokers, suggesting that pulmonary vascular differences may be relevant in disease progression. TRIAL REGISTRY ClinicalTrials.gov; No.: NCT00608764; URL: www.clinicaltrials.gov.
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Affiliation(s)
| | - P Nardelli
- Department of Radiology, Brigham and Women's Hospital, Boston, MA
| | - S Y Ash
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - C E Come
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - A A Diaz
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - F N Rahaghi
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - R G Barr
- Departments of Medicine and Epidemiology, Columbia University, New York, NY
| | - K A Young
- Department of Epidemiology, Colorado School of Public Health, University of Colorado, Denver, CO
| | - G L Kinney
- Department of Epidemiology, Colorado School of Public Health, University of Colorado, Denver, CO
| | - J P Simmons
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - R C Wade
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - J M Wells
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - J E Hokanson
- Department of Epidemiology, Colorado School of Public Health, University of Colorado, Denver, CO
| | - G R Washko
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
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12
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Bai S, Ye R, Wang C, Sun P, Wang D, Yue Y, Wang H, Wu S, Yu M, Xi S, Zhao L. Identification of Proteomic Signatures in Chronic Obstructive Pulmonary Disease Emphysematous Phenotype. Front Mol Biosci 2021; 8:650604. [PMID: 34277700 PMCID: PMC8280333 DOI: 10.3389/fmolb.2021.650604] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 05/20/2021] [Indexed: 11/24/2022] Open
Abstract
Chronic obstructive pulmonary disease (COPD) is a highly heterogeneous disease. Emphysematous phenotype is the most common and critical phenotype, which is characterized by progressive lung destruction and poor prognosis. However, the underlying mechanism of this structural damage has not been completely elucidated. A total of 12 patients with COPD emphysematous phenotype (COPD-E) and nine patients with COPD non-emphysematous phenotype (COPD-NE) were enrolled to determine differences in differential abundant protein (DAP) expression between both groups. Quantitative tandem mass tag–based proteomics was performed on lung tissue samples of all patients. A total of 29 and 15 lung tissue samples from patients in COPD-E and COPD-NE groups, respectively, were used as the validation cohort to verify the proteomic analysis results using western blotting. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted for DAPs. A total of 4,343 proteins were identified, of which 25 were upregulated and 11 were downregulated in the COPD-E group. GO and KEGG analyses showed that wound repair and retinol metabolism–related pathways play an essential role in the molecular mechanism of COPD emphysematous phenotype. Three proteins, namely, KRT17, DHRS9, and FMO3, were selected for validation. While KRT17 and DHRS9 were highly expressed in the lung tissue samples of the COPD-E group, FMO3 expression was not significantly different between both groups. In conclusion, KRT17 and DHRS9 are highly expressed in the lung tissue of patients with COPD emphysematous phenotype. Therefore, these proteins might involve in wound healing and retinol metabolism in patients with emphysematous phenotype and can be used as phenotype-specific markers.
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Affiliation(s)
- Shuang Bai
- Department of Pulmonary and Critical Care Medicine, Shengjing Hospital of China Medical University, Shenyang, China
| | - Rui Ye
- Department of Pulmonary and Critical Care Medicine, Shengjing Hospital of China Medical University, Shenyang, China
| | - Cuihong Wang
- Department of Pulmonary and Critical Care Medicine, Shengjing Hospital of China Medical University, Shenyang, China
| | - Pengbo Sun
- Department of Pulmonary and Critical Care Medicine, Shengjing Hospital of China Medical University, Shenyang, China
| | - Di Wang
- Department of Pulmonary and Critical Care Medicine, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yong Yue
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Huiying Wang
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Si Wu
- Department of Biobank, Shengjing Hospital of China Medical University, Shenyang, China
| | - Miao Yu
- Department of Biobank, Shengjing Hospital of China Medical University, Shenyang, China
| | - Shuhua Xi
- Department of Environmental and Occupational Health, School of Public Health, China Medical University, Shenyang, China
| | - Li Zhao
- Department of Pulmonary and Critical Care Medicine, Shengjing Hospital of China Medical University, Shenyang, China
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13
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Blaha MJ, DeFilippis AP. Multi-Ethnic Study of Atherosclerosis (MESA): JACC Focus Seminar 5/8. J Am Coll Cardiol 2021; 77:3195-3216. [PMID: 34167645 DOI: 10.1016/j.jacc.2021.05.006] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 05/04/2021] [Accepted: 05/10/2021] [Indexed: 10/21/2022]
Abstract
The MESA (Multi-Ethnic Study of Atherosclerosis) is a National Heart, Lung, and Blood Institute-sponsored prospective study aimed at studying the prevalence, progression, determinants, and prognostic significance of subclinical cardiovascular disease in a sex-balanced, multiethnic, community-dwelling U.S. cohort. MESA helped usher in an era of noninvasive evaluation of subclinical atherosclerosis presence, burden, and progression for the evaluation of atherosclerotic cardiovascular disease risk, beyond what could be predicted by traditional risk factors alone. Concepts developed in MESA have informed international patient care guidelines, providing new tools to effectively guide public health policy, population screening, and clinical decision-making. MESA is grounded in an open science model that continues to be a beacon for collaborative science. In this review, we detail the original goals of MESA, and describe how the scope of MESA has evolved over time. We highlight 10 significant MESA contributions to cardiovascular medicine, and chart the path forward for MESA in the year 2021 and beyond.
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Affiliation(s)
- Michael J Blaha
- Johns Hopkins Ciccarone Center or the Prevention of Cardiovascular Disease, Baltimore, Maryland, USA.
| | - Andrew P DeFilippis
- Johns Hopkins Ciccarone Center or the Prevention of Cardiovascular Disease, Baltimore, Maryland, USA; Division of Cardiology. Vanderbilt University Medical Center, Nashville, Tennessee, USA
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14
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Tejwani V, Fawzy A, Putcha N, Castaldi P, Cho MH, Pratte KA, Bhatt SP, Lynch DA, Humphries SM, Kinney GL, D'Alessio FR, Hansel NN. Emphysema Progression and Lung Function Decline Among Angiotensin Converting Enzyme Inhibitors and Angiotensin-Receptor Blockade Users in the COPDGene Cohort. Chest 2021; 160:1245-1254. [PMID: 34029566 DOI: 10.1016/j.chest.2021.05.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 04/30/2021] [Accepted: 05/04/2021] [Indexed: 10/21/2022] Open
Abstract
BACKGROUND Attenuation of transforming growth factor β by blocking angiotensin II has been shown to reduce emphysema in a murine model. General population studies have demonstrated that the use of angiotensin converting enzyme inhibitors (ACEis) and angiotensin-receptor blockers (ARBs) is associated with reduction of emphysema progression in former smokers and that the use of ACEis is associated with reduction of FEV1 progression in current smokers. RESEARCH QUESTION Is use of ACEi and ARB associated with less progression of emphysema and FEV1 decline among individuals with COPD or baseline emphysema? METHODS Former and current smokers from the Genetic Epidemiology of COPD Study who attended baseline and 5-year follow-up visits, did not change smoking status, and underwent chest CT imaging were included. Adjusted linear mixed models were used to evaluate progression of adjusted lung density (ALD), percent emphysema (%total lung volume <-950 Hounsfield units [HU]), 15th percentile of the attenuation histogram (attenuation [in HU] below which 15% of voxels are situated plus 1,000 HU), and lung function decline over 5 years between ACEi and ARB users and nonusers in those with spirometry-confirmed COPD, as well as all participants and those with baseline emphysema. Effect modification by smoking status also was investigated. RESULTS Over 5 years of follow-up, compared with nonusers, ACEi and ARB users with COPD showed slower ALD progression (adjusted mean difference [aMD], 1.6; 95% CI, 0.34-2.9). Slowed lung function decline was not observed based on phase 1 medication (aMD of FEV1 % predicted, 0.83; 95% CI, -0.62 to 2.3), but was when analysis was limited to consistent ACEi and ARB users (aMD of FEV1 % predicted, 1.9; 95% CI, 0.14-3.6). No effect modification by smoking status was found for radiographic outcomes, and the lung function effect was more pronounced in former smokers. Results were similar among participants with baseline emphysema. INTERPRETATION Among participants with spirometry-confirmed COPD or baseline emphysema, ACEi and ARB use was associated with slower progression of emphysema and lung function decline. TRIAL REGISTRY ClinicalTrials.gov; No.: NCT00608764; URL: www.clinicaltrials.gov.
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Affiliation(s)
- Vickram Tejwani
- Division of Pulmonary and Critical Care, Johns Hopkins University, Baltimore, MD.
| | - Ashraf Fawzy
- Division of Pulmonary and Critical Care, Johns Hopkins University, Baltimore, MD
| | - Nirupama Putcha
- Division of Pulmonary and Critical Care, Johns Hopkins University, Baltimore, MD
| | | | - Michael H Cho
- Division of Pulmonary and Critical Care Medicine, Boston, MA; Harvard Medical School, Boston, MA
| | | | - Surya P Bhatt
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - David A Lynch
- Department of Radiology, National Jewish Health, Denver, CO
| | | | - Gregory L Kinney
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO
| | - Franco R D'Alessio
- Division of Pulmonary and Critical Care, Johns Hopkins University, Baltimore, MD
| | - Nadia N Hansel
- Division of Pulmonary and Critical Care, Johns Hopkins University, Baltimore, MD
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15
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Liu GY, Kalhan R. Impaired Respiratory Health and Life Course Transitions From Health to Chronic Lung Disease. Chest 2021; 160:879-889. [PMID: 33865834 DOI: 10.1016/j.chest.2021.04.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 04/06/2021] [Accepted: 04/11/2021] [Indexed: 12/21/2022] Open
Abstract
Primary prevention and interception of chronic lung disease are essential in the effort to reduce the morbidity and mortality caused by respiratory conditions. In this review, we apply a life course approach that examines exposures across the life span to identify risk factors that are associated with not only chronic lung disease but also an intermediate phenotype between ideal lung health and lung disease, termed "impaired respiratory health." Notably, risk factors such as exposure to tobacco smoke and air pollution, as well as obesity and physical fitness, affect respiratory health across the life course by being associated with both abnormal lung growth and lung function decline. We then discuss the importance of disease interception and identifying those at highest risk of developing chronic lung disease. This work begins with understanding and detecting impaired respiratory health, and we review several promising molecular biomarkers, predictive symptoms, and early imaging findings that may lead to a better understanding of this intermediate phenotype.
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Affiliation(s)
- Gabrielle Y Liu
- Division of Pulmonary and Critical Care Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Preventative Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.
| | - Ravi Kalhan
- Department of Preventative Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
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16
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R Arnold N, S Wan E, Hersh CP, Schwartz A, Kinney G, Young K, Hokanson J, Regan EA, P Comellas A, Fortis S. Inhaled Medication Use in Smokers With Normal Spirometry. Respir Care 2021; 66:652-660. [PMID: 33563793 PMCID: PMC9993991 DOI: 10.4187/respcare.08016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND The objective of our study was to identify variables associated with inhaled medication use in smokers with normal spirometry (GOLD-0) and to examine the association of inhaled medication use with development of exacerbations and obstructive spirometry in the future. METHODS We performed a retrospective multivariable analysis of GOLD-0 subjects identified in data from the COPDGene study to examine factors associated with medication use. Five categories were identified: (1) no medications, (2) short-acting bronchodilator, (3) long-acting bronchodilator; long-acting muscarinic antagonists and/or long-acting β agonist, (4) inhaled corticosteroids (ICS) with or without long-acting bronchodilator, and (5) dual bronchodilator with ICS. Sensitivity analysis was performed excluding subjects with history of asthma. We also evaluated whether long-acting inhaled medication use was associated with exacerbations and obstructive spirometry at the follow-up visit 5 y after enrollment. RESULTS Of 4,303 GOLD-0 subjects within the analysis, 541 of them (12.6%) received inhaled medications. Of these, 259 (6%) were using long-acting inhaled medications and 282 (6.6%) were taking short-acting bronchodilator. Female sex (odds ratio [OR] 1.47, P = .003), numerous medical comorbidities, radiographic emphysema (OR 2.22, P = .02), chronic bronchitis (OR 1.77, P < .001), dyspnea (OR 2.24, P < .001), asthma history (OR 15.56, P < .001), prior exacerbation (OR 8.45, P < .001), and 6-min walk distance (OR 0.9, P < .001) were associated with medication use. Minimal changes were noted in a sensitivity analysis. Additionally, inhaled medications were associated with increased total (incidence rate ratio 2.83, P < .001) and severe respiratory exacerbations (incidence rate ratio 3.64, P < .001) and presence of obstructive spirometry (OR 2.83, P = .002) at follow-up. CONCLUSIONS Respiratory symptoms, history of asthma, and radiographic emphysema were associated with inhaled medication use in smokers with normal spirometry. These individuals were more likely to develop obstructive spirometry, which suggests that health care providers may be able to identify obstructive lung disease prior to meeting the current criteria for COPD.
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Affiliation(s)
- Nicholas R Arnold
- Department of Internal Medicine, Division of General Internal Medicine, University of Iowa Roy J. and Lucille A. Carver College of Medicine, Iowa City, Iowa
| | - Emily S Wan
- Channing Laboratory and Pulmonary and Critical Care Division, Brigham and Women's Hospital, Boston, Massachusetts.,Jamaica Plain Campus, VA Boston Health Care System, Boston, Massachusetts
| | - Craig P Hersh
- Channing Laboratory and Pulmonary and Critical Care Division, Brigham and Women's Hospital, Boston, Massachusetts
| | - Andrei Schwartz
- Department of Internal Medicine, Division of General Internal Medicine, University of Iowa Roy J. and Lucille A. Carver College of Medicine, Iowa City, Iowa
| | - Greg Kinney
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colorado
| | - Kendra Young
- Department of Biostatistics and Informatics, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colorado
| | - John Hokanson
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colorado
| | - Elizabeth A Regan
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colorado.,Department of Medicine, Division of Rheumatology, National Jewish Health, Denver, Colorado
| | - Alejandro P Comellas
- Division of Pulmonary, Critical Care and Occupational Medicine, University of Iowa Hospital and Clinics, Iowa City, Iowa
| | - Spyridon Fortis
- Division of Pulmonary, Critical Care and Occupational Medicine, University of Iowa Hospital and Clinics, Iowa City, Iowa. .,Center for Access & Delivery Research & Evaluation (CADRE), Iowa City VA Health Care System, Iowa City, Iowa
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17
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Steiger D, Siddiqi MF, Yip R, Yankelevitz DF, Henschke CI. The importance of low-dose CT screening to identify emphysema in asymptomatic participants with and without a prior diagnosis of COPD. Clin Imaging 2021; 78:136-141. [PMID: 33799061 DOI: 10.1016/j.clinimag.2021.03.012] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 02/24/2021] [Accepted: 03/16/2021] [Indexed: 11/24/2022]
Abstract
PURPOSE Chronic Obstructive Pulmonary Disease (COPD) includes chronic bronchitis, small airways disease, and emphysema. Diagnosis of COPD requires spirometric evidence and may be normal even when small airways disease or emphysema is present. Emphysema increases the risk of exacerbations, and is associated with all-cause mortality and increased risk of lung cancer. We evaluated the prevalence of emphysema in participants with and without a prior history of COPD. METHODS We reviewed a prospective cohort of 52,726 subjects who underwent baseline low dose CT screening for lung cancer from 2003 to 2016 in the International Early Lung Cancer Action Program. RESULTS Of 52,726 participants, 23.8%(12,542) had CT evidence of emphysema. Of these 12,542 participants with emphysema, 76.5%(9595/12,542) had no prior COPD diagnosis even though 23.6% (2258/9595) had moderate or severe emphysema. Among 12,542 participants, significant predictors of no prior COPD diagnosis were: male (OR = 1.47, p < 0.0001), younger age (ORage10 = 0.72, p < 0.0001), lower pack-years of smoking (OR10pack-years = 0.90, p < 0.0001), completed college or higher (OR = 1.54, p < 0.0001), no family history of lung cancer (OR = 1.12, p = 0.04), no self-reported cardiac disease (OR = 0.76, p = 0.0003) or hypertension (OR = 0.74, p < 0.0001). The severity of emphysema was significantly lower among the 9595 participants with no prior COPD diagnosis, the OR for moderate emphysema was ORmoderate = 0.58(p = 0.0007) and for severe emphysema, it was ORsevere = 0.23(p < 0.0001). CONCLUSION Emphysema was identified in 23.8% participants undergoing LDCT and was unsuspected in 76.5%. LDCT provides an opportunity to identify emphysema, and recommend smoking cessation.
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Affiliation(s)
- David Steiger
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine, Mount Sinai St. Lukes, Mount Sinai West, Mount Sinai Beth Israel, New York, NY, United States of America
| | - M Faisal Siddiqi
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine, Mount Sinai St. Lukes, Mount Sinai West, Mount Sinai Beth Israel, New York, NY, United States of America
| | - Rowena Yip
- Department of Radiology, Icahn School of Medicine, Mount Sinai Hospital, New York, NY, United States of America
| | - David F Yankelevitz
- Department of Radiology, Icahn School of Medicine, Mount Sinai Hospital, New York, NY, United States of America
| | - Claudia I Henschke
- Department of Radiology, Icahn School of Medicine, Mount Sinai Hospital, New York, NY, United States of America; Phoenix Veterans Health Care System, Phoenix, AZ, United States of America.
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18
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Goldin JG. The Emerging Role of Quantification of Imaging for Assessing the Severity and Disease Activity of Emphysema, Airway Disease, and Interstitial Lung Disease. Respiration 2021; 100:277-290. [PMID: 33621969 DOI: 10.1159/000513642] [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: 04/23/2020] [Accepted: 12/02/2020] [Indexed: 11/19/2022] Open
Abstract
There has been an explosion of use for quantitative image analysis in the setting of lung disease due to advances in acquisition protocols and postprocessing technology, including machine and deep learning. Despite the plethora of published papers, it is important to understand which approach has clinical validation and can be used in clinical practice. This paper provides an introduction to quantitative image analysis techniques being used in the investigation of lung disease and focusses on the techniques that have a reasonable clinical validation for being used in clinical trials and patient care.
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Affiliation(s)
- Jonathan Gerald Goldin
- Department of Radiological Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, California, USA,
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19
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Anderson MR, Geleris J, Anderson DR, Zucker J, Nobel YR, Freedberg D, Small-Saunders J, Rajagopalan KN, Greendyk R, Chae SR, Natarajan K, Roh D, Edwin E, Gallagher D, Podolanczuk A, Barr RG, Ferrante AW, Baldwin MR. Body Mass Index and Risk for Intubation or Death in SARS-CoV-2 Infection : A Retrospective Cohort Study. Ann Intern Med 2020; 173:782-790. [PMID: 32726151 PMCID: PMC7397550 DOI: 10.7326/m20-3214] [Citation(s) in RCA: 153] [Impact Index Per Article: 38.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Obesity is a risk factor for pneumonia and acute respiratory distress syndrome. OBJECTIVE To determine whether obesity is associated with intubation or death, inflammation, cardiac injury, or fibrinolysis in coronavirus disease 2019 (COVID-19). DESIGN Retrospective cohort study. SETTING A quaternary academic medical center and community hospital in New York City. PARTICIPANTS 2466 adults hospitalized with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 infection over a 45-day period with at least 47 days of in-hospital observation. MEASUREMENTS Body mass index (BMI), admission biomarkers of inflammation (C-reactive protein [CRP] level and erythrocyte sedimentation rate [ESR]), cardiac injury (troponin level), and fibrinolysis (D-dimer level). The primary end point was a composite of intubation or death in time-to-event analysis. RESULTS Over a median hospital length of stay of 7 days (interquartile range, 3 to 14 days), 533 patients (22%) were intubated, 627 (25%) died, and 59 (2%) remained hospitalized. Compared with overweight patients, patients with obesity had higher risk for intubation or death, with the highest risk among those with class 3 obesity (hazard ratio, 1.6 [95% CI, 1.1 to 2.1]). This association was primarily observed among patients younger than 65 years and not in older patients (P for interaction by age = 0.042). Body mass index was not associated with admission levels of biomarkers of inflammation, cardiac injury, or fibrinolysis. LIMITATIONS Body mass index was missing for 28% of patients. The primary analyses were conducted with multiple imputation for missing BMI. Upper bounding factor analysis suggested that the results are robust to possible selection bias. CONCLUSION Obesity is associated with increased risk for intubation or death from COVID-19 in adults younger than 65 years, but not in adults aged 65 years or older. PRIMARY FUNDING SOURCE National Institutes of Health.
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Affiliation(s)
- Michaela R Anderson
- Columbia University Irving Medical Center, New York, New York (M.R.A., J.G., J.Z., Y.R.N., D.F., J.S., K.N.R., S.C., K.N., D.R., E.E., A.P., A.W.F., M.R.B.)
| | - Joshua Geleris
- Columbia University Irving Medical Center, New York, New York (M.R.A., J.G., J.Z., Y.R.N., D.F., J.S., K.N.R., S.C., K.N., D.R., E.E., A.P., A.W.F., M.R.B.)
| | - David R Anderson
- Villanova School of Business, Villanova University, Villanova, Pennsylvania (D.R.A.)
| | - Jason Zucker
- Columbia University Irving Medical Center, New York, New York (M.R.A., J.G., J.Z., Y.R.N., D.F., J.S., K.N.R., S.C., K.N., D.R., E.E., A.P., A.W.F., M.R.B.)
| | - Yael R Nobel
- Columbia University Irving Medical Center, New York, New York (M.R.A., J.G., J.Z., Y.R.N., D.F., J.S., K.N.R., S.C., K.N., D.R., E.E., A.P., A.W.F., M.R.B.)
| | - Daniel Freedberg
- Columbia University Irving Medical Center, New York, New York (M.R.A., J.G., J.Z., Y.R.N., D.F., J.S., K.N.R., S.C., K.N., D.R., E.E., A.P., A.W.F., M.R.B.)
| | - Jennifer Small-Saunders
- Columbia University Irving Medical Center, New York, New York (M.R.A., J.G., J.Z., Y.R.N., D.F., J.S., K.N.R., S.C., K.N., D.R., E.E., A.P., A.W.F., M.R.B.)
| | - Kartik N Rajagopalan
- Columbia University Irving Medical Center, New York, New York (M.R.A., J.G., J.Z., Y.R.N., D.F., J.S., K.N.R., S.C., K.N., D.R., E.E., A.P., A.W.F., M.R.B.)
| | - Richard Greendyk
- NewYork-Presbyterian/Columbia University Irving Medical Center, New York, New York (R.G.)
| | - Sae-Rom Chae
- Columbia University Irving Medical Center, New York, New York (M.R.A., J.G., J.Z., Y.R.N., D.F., J.S., K.N.R., S.C., K.N., D.R., E.E., A.P., A.W.F., M.R.B.)
| | - Karthik Natarajan
- Columbia University Irving Medical Center, New York, New York (M.R.A., J.G., J.Z., Y.R.N., D.F., J.S., K.N.R., S.C., K.N., D.R., E.E., A.P., A.W.F., M.R.B.)
| | - David Roh
- Columbia University Irving Medical Center, New York, New York (M.R.A., J.G., J.Z., Y.R.N., D.F., J.S., K.N.R., S.C., K.N., D.R., E.E., A.P., A.W.F., M.R.B.)
| | - Ethan Edwin
- Columbia University Irving Medical Center, New York, New York (M.R.A., J.G., J.Z., Y.R.N., D.F., J.S., K.N.R., S.C., K.N., D.R., E.E., A.P., A.W.F., M.R.B.)
| | - Dympna Gallagher
- Institute of Human Nutrition, Columbia University Irving Medical Center, New York, New York (D.G.)
| | - Anna Podolanczuk
- Columbia University Irving Medical Center, New York, New York (M.R.A., J.G., J.Z., Y.R.N., D.F., J.S., K.N.R., S.C., K.N., D.R., E.E., A.P., A.W.F., M.R.B.)
| | - R Graham Barr
- Mailman School of Public Health, Columbia University Irving Medical Center, New York, New York (R.G.B.)
| | - Anthony W Ferrante
- Columbia University Irving Medical Center, New York, New York (M.R.A., J.G., J.Z., Y.R.N., D.F., J.S., K.N.R., S.C., K.N., D.R., E.E., A.P., A.W.F., M.R.B.)
| | - Matthew R Baldwin
- Columbia University Irving Medical Center, New York, New York (M.R.A., J.G., J.Z., Y.R.N., D.F., J.S., K.N.R., S.C., K.N., D.R., E.E., A.P., A.W.F., M.R.B.)
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20
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Kwon SO, Hong SH, Han YJ, Bak SH, Kim J, Lee MK, London SJ, Kim WJ, Kim SY. Long-term exposure to PM 10 and NO 2 in relation to lung function and imaging phenotypes in a COPD cohort. Respir Res 2020; 21:247. [PMID: 32967681 PMCID: PMC7513297 DOI: 10.1186/s12931-020-01514-w] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2019] [Accepted: 09/17/2020] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Ambient air pollution can contribute to the development and exacerbation of COPD. However, the influence of air pollution on objective COPD phenotypes, especially from imaging, is not well studied. We investigated the influence of long-term exposure to air pollution on lung function and quantitative imaging measurements in a Korean cohort of participants with and without COPD diagnosis. METHODS Study participants (N = 457 including 296 COPD cases) were obtained from the COPD in Dusty Areas (CODA) cohort. Annual average concentrations of particulate matter less than or equal to 10 μm in diameter (PM10) and nitrogen dioxide (NO2) were estimated at the participants' residential addresses using a spatial air pollution prediction model. All the participants underwent volumetric computerized tomography (CT) and spirometry measurements and completed survey questionnaires. We examined the associations of PM10 and NO2 with FVC, FEV1, emphysema index, and wall area percent, using linear regression models adjusting for age, gender, education, smoking, height, weight, and COPD medication. RESULTS The age of study participants averaged 71.7 years. An interquartile range difference in annual PM10 exposure of 4.4 μg/m3 was associated with 0.13 L lower FVC (95% confidence interval (CI), - 0.22- -0.05, p = 0.003). Emphysema index (mean = 6.36) was higher by 1.13 (95% CI, 0.25-2.02, p = 0.012) and wall area percent (mean = 68.8) was higher by 1.04 (95% CI, 0.27-1.80, p = 0.008). Associations with imaging phenotypes were not observed with NO2. CONCLUSIONS Long-term exposure to PM10 correlated with both lung function and COPD-relevant imaging phenotypes in a Korean cohort.
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Affiliation(s)
- Sung Ok Kwon
- Biomedical Research Institutue, Kangwon National University Hospital, Chuncheon, South Korea
| | - Seok Ho Hong
- Department of Internal Medicine and Environemntal Health Center, Kangwon National University, Chuncheon, South Korea
| | - Young-Ji Han
- Department of Environmental Science, Kangwon National University, Chuncheon, South Korea
| | - So Hyeon Bak
- Department of Radiology, School of Medicine, Kangwon National University, Chuncheon, South Korea
| | - Junghyun Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, National Medical Center, Seoul, South Korea
| | - Mi Kyeong Lee
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC USA
| | - Stephanie J. London
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC USA
| | - Woo Jin Kim
- Department of Internal Medicine and Environemntal Health Center, Kangwon National University, Chuncheon, South Korea
| | - Sun-Young Kim
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Gyeonggi-do South Korea
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21
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Tsay JCJ, Hu Y, Goldberg JD, Wang B, Vijayalekshmy S, Yie TA, Bantis K, Sterman DH, Rom WN. Value of metalloproteinases in predicting COPD in heavy urban smokers. Respir Res 2020; 21:228. [PMID: 32878618 PMCID: PMC7465798 DOI: 10.1186/s12931-020-01496-9] [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: 05/27/2020] [Accepted: 08/24/2020] [Indexed: 11/30/2022] Open
Abstract
Background Emphysema in asymptomatic heavy smokers can be detected during CT-scan screening for lung cancer. Metalloproteinases (MMPs) have been found to play a role in the pathogenesis of chronic obstructive pulmonary disease and to possibly serve as biomarkers for emphysema. Methods The NYU Lung Cancer Biomarker Center enrolled study subjects over 50 years of age with lung cancer risk factors from January 1, 2010, to December 31, 2015. These subjects received chest multi-detector computed tomography, spirometry, and provided serum for immunoassays for metalloproteinases (MMP) -1, -2, -7, -9, -10 and tissue inhibitor of metalloproteinases (TIMP) -1 and -2. Results Three hundred sixteen study subjects were enrolled. Of the 222 patients who met the inclusion criteria, 46% had emphysema. Smokers with emphysema had increased pack-years of smoking compared to smokers without emphysema (51 ± 24 pack-years (mean ± sd) versus 37 ± 20; p < 0.0001). Smokers with emphysema also had lower FEV1/FVC percent compared to smokers without emphysema (68 ± 11 (mean ± sd) versus 75 ± 8; p < 0.0001). Increased age and pack-years of smoking were associated with increased odds of emphysema. None of the metalloproteinases or tissue inhibitors of metalloproteinases were useful to predict the presence of emphysema in smokers. Conclusion Emphysema was detected by CT in almost half of heavy urban smokers. Serum MMP levels provided minimal additional information to improve the detection of mild emphysema among smokers given their clinical characteristics (age, pack-years, and FEV1/FVC ratio).
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Affiliation(s)
- Jun-Chieh J Tsay
- William N. Rom Environmental Lung Disease Laboratory, Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, and Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA.
| | - Yingjie Hu
- Division of Biostatistics, Department of Population Health and Department of Environmental Medicine, NYU School of Medicine, New York, NY, USA
| | - Judith D Goldberg
- Division of Biostatistics, Department of Population Health and Department of Environmental Medicine, NYU School of Medicine, New York, NY, USA
| | - Bin Wang
- Division of Biostatistics, Department of Population Health and Department of Environmental Medicine, NYU School of Medicine, New York, NY, USA
| | - Soumya Vijayalekshmy
- William N. Rom Environmental Lung Disease Laboratory, Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, and Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
| | - Ting-An Yie
- William N. Rom Environmental Lung Disease Laboratory, Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, and Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
| | - Katrina Bantis
- William N. Rom Environmental Lung Disease Laboratory, Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, and Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
| | - Daniel H Sterman
- William N. Rom Environmental Lung Disease Laboratory, Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, and Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
| | - William N Rom
- William N. Rom Environmental Lung Disease Laboratory, Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, and Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
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22
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Ruparel M, Quaife SL, Dickson JL, Horst C, Tisi S, Hall H, Taylor MN, Ahmed A, Shaw PJ, Burke S, Soo MJ, Nair A, Devaraj A, Sennett K, Hurst JR, Duffy SW, Navani N, Bhowmik A, Baldwin DR, Janes SM. Prevalence, Symptom Burden, and Underdiagnosis of Chronic Obstructive Pulmonary Disease in a Lung Cancer Screening Cohort. Ann Am Thorac Soc 2020; 17:869-878. [PMID: 32164439 PMCID: PMC7328177 DOI: 10.1513/annalsats.201911-857oc] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Accepted: 03/02/2020] [Indexed: 12/19/2022] Open
Abstract
Rationale: Individuals eligible for lung cancer screening (LCS) by low-dose computed tomography (LDCT) are also at risk of chronic obstructive pulmonary disease (COPD) due to age and smoking exposure. Whether the LCS episode is useful for early detection of COPD is not well established.Objectives: To explore associations between symptoms, comorbidities, spirometry, and emphysema in participants enrolled in the Lung Screen Uptake Trial.Methods: This cross-sectional study was a prespecified analysis nested within Lung Screen Uptake Trial, which was a randomized study testing the impact of differing invitation materials on attendance of 60- to 75-year-old smokers and ex-smokers to a "lung health check" between November 2015 and July 2017. Participants with a smoking history ≥30 pack-years and who quit ≤15 years ago, or meeting a lung cancer risk of ≥1.51% via the Prostate Lung Colorectal Ovarian model or ≥2.5% via the Liverpool Lung Project model, were offered LDCT. COPD was defined and classified according to the GOLD (Global Initiative for Obstructive Lung Disease) criteria using prebronchodilator spirometry. Analyses included the use of descriptive statistics, chi-square tests to examine group differences, and univariable and multivariable logistic regression to explore associations between symptom prevalence, airflow limitation, and visually graded emphysema.Results: A total of 560 of 986 individuals included in the analysis (57%) had prebronchodilator spirometry consistent with COPD; 67% did not have a prior history of COPD and were termed "undiagnosed." Emphysema prevalence in those with known and "undiagnosed" COPD was 73% and 68%, respectively. A total of 32% of those with "undiagnosed COPD" had no emphysema on LDCT. Inhaler use and symptoms were more common in the "known" than the "undiagnosed" COPD group (63% vs. 33% with persistent cough [P < 0.001]; 73% vs. 33% with dyspnea [P < 0.001]). Comorbidities were common in all groups. Adjusted odds ratio (aOR) of respiratory symptoms were more significant for airflow obstruction (aOR GOLD 1 and 2, 1.57; confidence interval [CI], 1.14-2.17; aOR GOLD 3 and 4, 4.6; CI, 2.17-9.77) than emphysema (aOR mild, 1.12; CI, 0.81-1.55; aOR moderate, 1.33; CI, 0.85-2.09; aOR severe, 4.00; CI, 1.57-10.2).Conclusions: There is high burden of "undiagnosed COPD" and emphysema in LCS participants. Adding spirometry findings to the LDCT enhances identification of individuals with COPD.Clinical trial registered with www.clinicaltrials.gov (NCT02558101).
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Affiliation(s)
- Mamta Ruparel
- Lungs for Living Research Centre, University College London (UCL) Respiratory
| | | | - Jennifer L. Dickson
- Lungs for Living Research Centre, University College London (UCL) Respiratory
| | - Carolyn Horst
- Lungs for Living Research Centre, University College London (UCL) Respiratory
| | - Sophie Tisi
- Lungs for Living Research Centre, University College London (UCL) Respiratory
| | - Helen Hall
- Lungs for Living Research Centre, University College London (UCL) Respiratory
| | | | | | | | | | | | | | - Anand Devaraj
- Department of Radiology, Royal Brompton Hospital, London, United Kingdom
| | - Karen Sennett
- Killick Street Health Centre, London, United Kingdom
| | - John R. Hurst
- UCL Centre for Inflammation and Repair, University College London, London, United Kingdom
| | - Stephen W. Duffy
- Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine and Dentistry, Queen Mary University, London, United Kingdom; and
| | - Neal Navani
- Lungs for Living Research Centre, University College London (UCL) Respiratory
- Department of Thoracic Medicine, University College London Hospital, London, United Kingdom
| | - Angshu Bhowmik
- Department of Thoracic Medicine, Homerton University Hospital, London, United Kingdom
| | - David R. Baldwin
- Respiratory Medicine Unit, David Evans Research Centre, Nottingham University Hospitals, Nottingham, United Kingdom
| | - Sam M. Janes
- Lungs for Living Research Centre, University College London (UCL) Respiratory
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Enright P, Fragoso CV. GPs should not try to detect mild COPD. NPJ Prim Care Respir Med 2020; 30:20. [PMID: 32393734 PMCID: PMC7214409 DOI: 10.1038/s41533-020-0176-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Accepted: 04/07/2020] [Indexed: 11/08/2022] Open
Affiliation(s)
- Paul Enright
- Department of Medicine, the University of Arizona, Tucson, AZ, USA.
| | - Carlos Vaz Fragoso
- Clinical Epidemiology Research Center, VA Connecticut Healthcare System, Mailcode 151B, West Haven, CT, USA.
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Oelsner EC, Ortega VE, Smith BM, Nguyen JN, Manichaikul AW, Hoffman EA, Guo X, Taylor KD, Woodruff PG, Couper DJ, Hansel NN, Martinez FJ, Paine R, Han MK, Cooper C, Dransfield MT, Criner G, Krishnan JA, Bowler R, Bleecker ER, Peters S, Rich SS, Meyers DA, Rotter JI, Barr RG. A Genetic Risk Score Associated with Chronic Obstructive Pulmonary Disease Susceptibility and Lung Structure on Computed Tomography. Am J Respir Crit Care Med 2020; 200:721-731. [PMID: 30925230 DOI: 10.1164/rccm.201812-2355oc] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Rationale: Chronic obstructive pulmonary disease (COPD) has been associated with numerous genetic variants, yet the extent to which its genetic risk is mediated by variation in lung structure remains unknown.Objectives: To characterize associations between a genetic risk score (GRS) associated with COPD susceptibility and lung structure on computed tomography (CT).Methods: We analyzed data from MESA Lung (Multi-Ethnic Study of Atherosclerosis Lung Study), a U.S. general population-based cohort, and SPIROMICS (Subpopulations and Intermediate Outcome Measures in COPD Study). A weighted GRS was calculated from 83 SNPs that were previously associated with lung function. Lung density, spatially matched airway dimensions, and airway counts were assessed on full-lung CT. Generalized linear models were adjusted for age, age squared, sex, height, principal components of genetic ancestry, smoking status, pack-years, CT model, milliamperes, and total lung volume.Measurements and Main Results: MESA Lung and SPIROMICS contributed 2,517 and 2,339 participants, respectively. Higher GRS was associated with lower lung function and increased COPD risk, as well as lower lung density, smaller airway lumens, and fewer small airways, without effect modification by smoking. Adjustment for CT lung structure, particularly small airway measures, attenuated associations between the GRS and FEV1/FVC by 100% and 60% in MESA and SPIROMICS, respectively. Lung structure (P < 0.0001), but not the GRS (P > 0.10), improved discrimination of moderate-to-severe COPD cases relative to clinical factors alone.Conclusions: A GRS associated with COPD susceptibility was associated with CT lung structure. Lung structure may be an important mediator of heritability and determinant of personalized COPD risk.
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Affiliation(s)
- Elizabeth C Oelsner
- Department of Medicine, Columbia University College of Physicians & Surgeons, New York, New York
| | - Victor E Ortega
- Division of Pulmonary, Critical Care, Allergy, and Immunologic Medicine, Department of Medicine, Wake Forest University, Winston-Salem, North Carolina
| | - Benjamin M Smith
- Department of Medicine, Columbia University College of Physicians & Surgeons, New York, New York
| | - Jennifer N Nguyen
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Ani W Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Eric A Hoffman
- Department of Radiology.,Department of Medicine, and.,Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa
| | | | | | - Prescott G Woodruff
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Cardiovascular Research Institute, University of California, San Francisco, California
| | - David J Couper
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Nadia N Hansel
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Fernando J Martinez
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Robert Paine
- Division of Respiratory, Critical Care, and Occupational Pulmonary Medicine, Department of Medicine, University of Utah School of Medicine, Salt Lake City, Utah
| | - Meilan K Han
- Division of Pulmonary and Critical Care Medicine, Michigan Medicine, Ann Arbor, Michigan
| | - Christopher Cooper
- Department of Medicine, and.,Department of Physiology, David Geffen School of Medicine, University of California, Los Angeles, California
| | - Mark T Dransfield
- Division of Pulmonary, Allergy, and Critical Care, University of Alabama at Birmingham, Birmingham, Alabama
| | - Gerard Criner
- Department of Thoracic Medicine, Temple University, Philadelphia, Pennsylvania
| | - Jerry A Krishnan
- Division of Pulmonary and Critical Care, University of Illinois, Chicago, Illinois
| | - Russell Bowler
- Division of Pulmonary and Critical Care, National Jewish, Denver, Colorado; and
| | | | - Stephen Peters
- Division of Pulmonary, Critical Care, Allergy, and Immunologic Medicine, Department of Medicine, Wake Forest University, Winston-Salem, North Carolina
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | | | | | - R Graham Barr
- Department of Medicine, Columbia University College of Physicians & Surgeons, New York, New York
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Pompe E, Strand M, van Rikxoort EM, Hoffman EA, Barr RG, Charbonnier JP, Humphries S, Han MK, Hokanson JE, Make BJ, Regan EA, Silverman EK, Crapo JD, Lynch DA. Five-year Progression of Emphysema and Air Trapping at CT in Smokers with and Those without Chronic Obstructive Pulmonary Disease: Results from the COPDGene Study. Radiology 2020; 295:218-226. [PMID: 32013794 DOI: 10.1148/radiol.2020191429] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Background CT is used to quantify abnormal changes in the lung parenchyma of smokers that might overlap chronic obstructive pulmonary disease (COPD), but studies on the progression of expiratory air trapping in smokers are scarce. Purpose To evaluate the relationship between longitudinal changes in forced expiratory volume in 1 second (FEV1) and CT-quantified emphysema and air trapping in smokers. Materials and Methods Cigarette smokers with and those without COPD participating in the multicenter observational COPDGene study were evaluated. Subjects underwent inspiratory and expiratory chest CT and spirometry at baseline and 5-year follow-up. Emphysema was quantified by using adjusted lung density (ALD). Air trapping was quantified by using mean lung density at expiratory CT and CT-measured functional residual capacity-to-total lung volume ratio. Linear models were used to regress quantitative CT measurements taken 5 years apart, and models were fit with and without adding FEV1 as a predictor. Analyses were stratified by Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage (GOLD 0, no COPD; GOLD 1, mild COPD; GOLD 2, moderate COPD; GOLD 3, severe COPD; GOLD 4, very severe COPD). Subjects with preserved FEV1-to-forced vital capacity ratio and reduced FEV1 percentage predicted were categorized as having preserved ratio impaired spirometry (PRISm). Results A total of 4211 subjects (503 with PRISm; 2034 with GOLD 0, 388 with GOLD 1, 816 with GOLD 2, 381 with GOLD 3, 89 with GOLD 4) were evaluated. ALD decreased by 1.7 g/L (95% confidence interval [CI]: -2.5, -0.9) in subjects with GOLD 0 at baseline and by 5.3 g/L (95% CI: -6.2, -4.4) in those with GOLD 1-4 (P < .001 for both). When adjusted for changes in FEV1, corresponding numbers were -2.2 (95% CI: -3.0, -1.3) and -4.6 g/L (95% CI: -5.6, -3.4) (P < .001 for both). Progression in air trapping was identified only in GOLD stage 2-4. Approximately 33%-50% of changes in air trapping in GOLD stages 2-4 were accounted for by changes in FEV1. Conclusion CT measures of emphysema and air trapping increased over 5 years in smokers. Forced expiratory volume in one second accounted for less than 10% of emphysema progression and less than 50% of air trapping progression detected at CT. © RSNA, 2020 Online supplemental material is available for this article.
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Affiliation(s)
- Esther Pompe
- From the Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, PO 85500, Postbox E.03.511, Utrecht, Utrecht 3508 GA, the Netherlands (E.P.); Division of Biostatistics and Bioinformatics (M.S., B.J.M.), Department of Radiology (S.H., D.A.L.), Division of Rheumatology, Department of Medicine (E.A.R.), and Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine (J.D.C.), National Jewish Health, Denver, Colo; Thirona, Nijmegen, the Netherlands (E.M.v.R.); Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands (E.M.v.R., J.P.C.); Departments of Biomedical Engineering, Radiology, and Internal Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Division of Pulmonary and Critical Care, University of Michigan Health System, Ann Arbor, Mich (M.K.H.); Department of Epidemiology, University of Colorado Denver, Denver, Colo (J.E.H.); and Channing Division of Network Medicine (E.K.S.) and Division of Pulmonary and Critical Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's Hospital, Boston, Mass
| | - Matthew Strand
- From the Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, PO 85500, Postbox E.03.511, Utrecht, Utrecht 3508 GA, the Netherlands (E.P.); Division of Biostatistics and Bioinformatics (M.S., B.J.M.), Department of Radiology (S.H., D.A.L.), Division of Rheumatology, Department of Medicine (E.A.R.), and Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine (J.D.C.), National Jewish Health, Denver, Colo; Thirona, Nijmegen, the Netherlands (E.M.v.R.); Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands (E.M.v.R., J.P.C.); Departments of Biomedical Engineering, Radiology, and Internal Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Division of Pulmonary and Critical Care, University of Michigan Health System, Ann Arbor, Mich (M.K.H.); Department of Epidemiology, University of Colorado Denver, Denver, Colo (J.E.H.); and Channing Division of Network Medicine (E.K.S.) and Division of Pulmonary and Critical Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's Hospital, Boston, Mass
| | - Eva M van Rikxoort
- From the Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, PO 85500, Postbox E.03.511, Utrecht, Utrecht 3508 GA, the Netherlands (E.P.); Division of Biostatistics and Bioinformatics (M.S., B.J.M.), Department of Radiology (S.H., D.A.L.), Division of Rheumatology, Department of Medicine (E.A.R.), and Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine (J.D.C.), National Jewish Health, Denver, Colo; Thirona, Nijmegen, the Netherlands (E.M.v.R.); Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands (E.M.v.R., J.P.C.); Departments of Biomedical Engineering, Radiology, and Internal Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Division of Pulmonary and Critical Care, University of Michigan Health System, Ann Arbor, Mich (M.K.H.); Department of Epidemiology, University of Colorado Denver, Denver, Colo (J.E.H.); and Channing Division of Network Medicine (E.K.S.) and Division of Pulmonary and Critical Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's Hospital, Boston, Mass
| | - Eric A Hoffman
- From the Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, PO 85500, Postbox E.03.511, Utrecht, Utrecht 3508 GA, the Netherlands (E.P.); Division of Biostatistics and Bioinformatics (M.S., B.J.M.), Department of Radiology (S.H., D.A.L.), Division of Rheumatology, Department of Medicine (E.A.R.), and Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine (J.D.C.), National Jewish Health, Denver, Colo; Thirona, Nijmegen, the Netherlands (E.M.v.R.); Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands (E.M.v.R., J.P.C.); Departments of Biomedical Engineering, Radiology, and Internal Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Division of Pulmonary and Critical Care, University of Michigan Health System, Ann Arbor, Mich (M.K.H.); Department of Epidemiology, University of Colorado Denver, Denver, Colo (J.E.H.); and Channing Division of Network Medicine (E.K.S.) and Division of Pulmonary and Critical Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's Hospital, Boston, Mass
| | - R Graham Barr
- From the Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, PO 85500, Postbox E.03.511, Utrecht, Utrecht 3508 GA, the Netherlands (E.P.); Division of Biostatistics and Bioinformatics (M.S., B.J.M.), Department of Radiology (S.H., D.A.L.), Division of Rheumatology, Department of Medicine (E.A.R.), and Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine (J.D.C.), National Jewish Health, Denver, Colo; Thirona, Nijmegen, the Netherlands (E.M.v.R.); Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands (E.M.v.R., J.P.C.); Departments of Biomedical Engineering, Radiology, and Internal Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Division of Pulmonary and Critical Care, University of Michigan Health System, Ann Arbor, Mich (M.K.H.); Department of Epidemiology, University of Colorado Denver, Denver, Colo (J.E.H.); and Channing Division of Network Medicine (E.K.S.) and Division of Pulmonary and Critical Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's Hospital, Boston, Mass
| | - Jean Paul Charbonnier
- From the Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, PO 85500, Postbox E.03.511, Utrecht, Utrecht 3508 GA, the Netherlands (E.P.); Division of Biostatistics and Bioinformatics (M.S., B.J.M.), Department of Radiology (S.H., D.A.L.), Division of Rheumatology, Department of Medicine (E.A.R.), and Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine (J.D.C.), National Jewish Health, Denver, Colo; Thirona, Nijmegen, the Netherlands (E.M.v.R.); Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands (E.M.v.R., J.P.C.); Departments of Biomedical Engineering, Radiology, and Internal Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Division of Pulmonary and Critical Care, University of Michigan Health System, Ann Arbor, Mich (M.K.H.); Department of Epidemiology, University of Colorado Denver, Denver, Colo (J.E.H.); and Channing Division of Network Medicine (E.K.S.) and Division of Pulmonary and Critical Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's Hospital, Boston, Mass
| | - Stephen Humphries
- From the Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, PO 85500, Postbox E.03.511, Utrecht, Utrecht 3508 GA, the Netherlands (E.P.); Division of Biostatistics and Bioinformatics (M.S., B.J.M.), Department of Radiology (S.H., D.A.L.), Division of Rheumatology, Department of Medicine (E.A.R.), and Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine (J.D.C.), National Jewish Health, Denver, Colo; Thirona, Nijmegen, the Netherlands (E.M.v.R.); Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands (E.M.v.R., J.P.C.); Departments of Biomedical Engineering, Radiology, and Internal Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Division of Pulmonary and Critical Care, University of Michigan Health System, Ann Arbor, Mich (M.K.H.); Department of Epidemiology, University of Colorado Denver, Denver, Colo (J.E.H.); and Channing Division of Network Medicine (E.K.S.) and Division of Pulmonary and Critical Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's Hospital, Boston, Mass
| | - MeiLan K Han
- From the Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, PO 85500, Postbox E.03.511, Utrecht, Utrecht 3508 GA, the Netherlands (E.P.); Division of Biostatistics and Bioinformatics (M.S., B.J.M.), Department of Radiology (S.H., D.A.L.), Division of Rheumatology, Department of Medicine (E.A.R.), and Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine (J.D.C.), National Jewish Health, Denver, Colo; Thirona, Nijmegen, the Netherlands (E.M.v.R.); Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands (E.M.v.R., J.P.C.); Departments of Biomedical Engineering, Radiology, and Internal Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Division of Pulmonary and Critical Care, University of Michigan Health System, Ann Arbor, Mich (M.K.H.); Department of Epidemiology, University of Colorado Denver, Denver, Colo (J.E.H.); and Channing Division of Network Medicine (E.K.S.) and Division of Pulmonary and Critical Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's Hospital, Boston, Mass
| | - John E Hokanson
- From the Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, PO 85500, Postbox E.03.511, Utrecht, Utrecht 3508 GA, the Netherlands (E.P.); Division of Biostatistics and Bioinformatics (M.S., B.J.M.), Department of Radiology (S.H., D.A.L.), Division of Rheumatology, Department of Medicine (E.A.R.), and Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine (J.D.C.), National Jewish Health, Denver, Colo; Thirona, Nijmegen, the Netherlands (E.M.v.R.); Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands (E.M.v.R., J.P.C.); Departments of Biomedical Engineering, Radiology, and Internal Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Division of Pulmonary and Critical Care, University of Michigan Health System, Ann Arbor, Mich (M.K.H.); Department of Epidemiology, University of Colorado Denver, Denver, Colo (J.E.H.); and Channing Division of Network Medicine (E.K.S.) and Division of Pulmonary and Critical Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's Hospital, Boston, Mass
| | - Barry J Make
- From the Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, PO 85500, Postbox E.03.511, Utrecht, Utrecht 3508 GA, the Netherlands (E.P.); Division of Biostatistics and Bioinformatics (M.S., B.J.M.), Department of Radiology (S.H., D.A.L.), Division of Rheumatology, Department of Medicine (E.A.R.), and Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine (J.D.C.), National Jewish Health, Denver, Colo; Thirona, Nijmegen, the Netherlands (E.M.v.R.); Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands (E.M.v.R., J.P.C.); Departments of Biomedical Engineering, Radiology, and Internal Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Division of Pulmonary and Critical Care, University of Michigan Health System, Ann Arbor, Mich (M.K.H.); Department of Epidemiology, University of Colorado Denver, Denver, Colo (J.E.H.); and Channing Division of Network Medicine (E.K.S.) and Division of Pulmonary and Critical Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's Hospital, Boston, Mass
| | - Elizabeth A Regan
- From the Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, PO 85500, Postbox E.03.511, Utrecht, Utrecht 3508 GA, the Netherlands (E.P.); Division of Biostatistics and Bioinformatics (M.S., B.J.M.), Department of Radiology (S.H., D.A.L.), Division of Rheumatology, Department of Medicine (E.A.R.), and Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine (J.D.C.), National Jewish Health, Denver, Colo; Thirona, Nijmegen, the Netherlands (E.M.v.R.); Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands (E.M.v.R., J.P.C.); Departments of Biomedical Engineering, Radiology, and Internal Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Division of Pulmonary and Critical Care, University of Michigan Health System, Ann Arbor, Mich (M.K.H.); Department of Epidemiology, University of Colorado Denver, Denver, Colo (J.E.H.); and Channing Division of Network Medicine (E.K.S.) and Division of Pulmonary and Critical Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's Hospital, Boston, Mass
| | - Edwin K Silverman
- From the Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, PO 85500, Postbox E.03.511, Utrecht, Utrecht 3508 GA, the Netherlands (E.P.); Division of Biostatistics and Bioinformatics (M.S., B.J.M.), Department of Radiology (S.H., D.A.L.), Division of Rheumatology, Department of Medicine (E.A.R.), and Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine (J.D.C.), National Jewish Health, Denver, Colo; Thirona, Nijmegen, the Netherlands (E.M.v.R.); Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands (E.M.v.R., J.P.C.); Departments of Biomedical Engineering, Radiology, and Internal Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Division of Pulmonary and Critical Care, University of Michigan Health System, Ann Arbor, Mich (M.K.H.); Department of Epidemiology, University of Colorado Denver, Denver, Colo (J.E.H.); and Channing Division of Network Medicine (E.K.S.) and Division of Pulmonary and Critical Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's Hospital, Boston, Mass
| | - James D Crapo
- From the Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, PO 85500, Postbox E.03.511, Utrecht, Utrecht 3508 GA, the Netherlands (E.P.); Division of Biostatistics and Bioinformatics (M.S., B.J.M.), Department of Radiology (S.H., D.A.L.), Division of Rheumatology, Department of Medicine (E.A.R.), and Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine (J.D.C.), National Jewish Health, Denver, Colo; Thirona, Nijmegen, the Netherlands (E.M.v.R.); Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands (E.M.v.R., J.P.C.); Departments of Biomedical Engineering, Radiology, and Internal Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Division of Pulmonary and Critical Care, University of Michigan Health System, Ann Arbor, Mich (M.K.H.); Department of Epidemiology, University of Colorado Denver, Denver, Colo (J.E.H.); and Channing Division of Network Medicine (E.K.S.) and Division of Pulmonary and Critical Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's Hospital, Boston, Mass
| | - David A Lynch
- From the Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, PO 85500, Postbox E.03.511, Utrecht, Utrecht 3508 GA, the Netherlands (E.P.); Division of Biostatistics and Bioinformatics (M.S., B.J.M.), Department of Radiology (S.H., D.A.L.), Division of Rheumatology, Department of Medicine (E.A.R.), and Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine (J.D.C.), National Jewish Health, Denver, Colo; Thirona, Nijmegen, the Netherlands (E.M.v.R.); Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands (E.M.v.R., J.P.C.); Departments of Biomedical Engineering, Radiology, and Internal Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Division of Pulmonary and Critical Care, University of Michigan Health System, Ann Arbor, Mich (M.K.H.); Department of Epidemiology, University of Colorado Denver, Denver, Colo (J.E.H.); and Channing Division of Network Medicine (E.K.S.) and Division of Pulmonary and Critical Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's Hospital, Boston, Mass
| | -
- From the Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, PO 85500, Postbox E.03.511, Utrecht, Utrecht 3508 GA, the Netherlands (E.P.); Division of Biostatistics and Bioinformatics (M.S., B.J.M.), Department of Radiology (S.H., D.A.L.), Division of Rheumatology, Department of Medicine (E.A.R.), and Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine (J.D.C.), National Jewish Health, Denver, Colo; Thirona, Nijmegen, the Netherlands (E.M.v.R.); Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands (E.M.v.R., J.P.C.); Departments of Biomedical Engineering, Radiology, and Internal Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Division of Pulmonary and Critical Care, University of Michigan Health System, Ann Arbor, Mich (M.K.H.); Department of Epidemiology, University of Colorado Denver, Denver, Colo (J.E.H.); and Channing Division of Network Medicine (E.K.S.) and Division of Pulmonary and Critical Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's Hospital, Boston, Mass
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Comparative analysis of pathophysiological parameters between emphysematous smokers and emphysematous patients with COPD. Sci Rep 2020; 10:420. [PMID: 31942006 PMCID: PMC6962428 DOI: 10.1038/s41598-019-57354-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Accepted: 12/30/2019] [Indexed: 12/16/2022] Open
Abstract
Emphysematous smokers with normal spirometry form a considerable proportion of the clinical population. However, despite presenting with respiratory symptoms and activity limitation, they cannot be diagnosed with chronic obstructive lung disease (COPD) according to current criteria. Thus, we aimed to determine whether emphysema in smokers has a different pathogenesis from that in patients with COPD. We compared 12 pairs of lung tissue samples from emphysematous patients with normal spirometry and COPD, and determined the degree of emphysema using computed tomography. With a focus on COPD-related pathogenesis, we independently assessed inflammatory response, protease-antiprotease balance, oxidative stress, and apoptosis in both groups. Both groups showed similar pathological changes at a comparable degree of emphysema; the expression of inflammatory factors was comparable, with overexpression of proteases and decreased levels of antiproteases. Moreover, there was no significant difference in the activities of glutathione and superoxide dismutase, and expression of apoptosis-related factors. In conclusion, emphysema in smokers with normal spirometry and in patients with COPD had similar pathogenesis. Forced expiratory volume in 1 second cannot be used as the sole diagnostic criterion in patients with COPD; early intervention is of great importance to such patients.
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Rethinking Chronic Obstructive Pulmonary Disease. Chronic Pulmonary Insufficiency and Combined Cardiopulmonary Insufficiency. Ann Am Thorac Soc 2019; 15:S30-S34. [PMID: 29461894 DOI: 10.1513/annalsats.201708-667kv] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Almost 70 years ago, Drs. Baldwin, Cournand, and Richards defined chronic pulmonary insufficiency by the presence of respiratory symptoms, radiologic evidence of pulmonary emphysema on chest radiography, and physiologic gas trapping. A decade later, airflow obstruction on spirometry was added to the definition and insufficiency became a disease. Contemporary studies are reviving the diagnostic approach described by these early luminaries, with researchers finding that symptomatic smokers with preserved spirometry have increased exacerbations and that smokers and non-smokers with normal spirometry but emphysema on chest computed tomography have increased mortality. Hence, the Baldwin-Cournand-Richards concept of disease defined by respiratory symptoms, radiologic findings, and physiology-regardless of spirometric criteria-is being rediscovered. Baldwin, Cournand, and Richards also stated that "functionally, it is obvious that the pulmonary and circulatory apparatus are one unit," and they defined combined cardiopulmonary insufficiency as chronic pulmonary insufficiency with (left or right) cardiac and pulmonary artery enlargement. They appreciated the complexity of these interactions, which include the potential role of gas trapping in heart failure with reduced ejection fraction; the impact of emphysema on blood flow in heart failure with preserved ejection fraction; multiple contributions to cor pulmonale with increased pulmonary artery pressure; and cor pulmonale parvus in emphysema; all of which may be amenable to specific therapeutic interventions. Given the complexity of heart-lung interactions originally identified by Baldwin, Cournand, and Richards and the potentially large therapeutic opportunities, large-scale studies are still warranted to find specific therapies for subphenotypes of combined cardiopulmonary insufficiency.
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COPD: To Be or Not to Be, That is the Question. Am J Med 2019; 132:1271-1278. [PMID: 31152719 PMCID: PMC8359778 DOI: 10.1016/j.amjmed.2019.04.047] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 04/26/2019] [Accepted: 04/28/2019] [Indexed: 01/01/2023]
Abstract
As our knowledge on the natural history of chronic obstructive pulmonary disease (COPD) progresses, a conceptual model simply based on an accelerated decline of lung function in adult life in response to smoking has become inadequate to capture the complexity of this disease, and increasing attention is being given to possible contributions from events or alterations of developmental processes that take place earlier in life. In addition, a remarkable heterogeneity has emerged among the pathobiological mechanisms that are involved in different phenotypes of COPD, suggesting that an effective disease management will require individualized treatment approaches largely based on the underlying biological mechanisms (endotypes). In this review, we will discuss the many faces of COPD from an epidemiological, pathobiological, and clinical standpoint and argue that airflow limitation encompasses a number of manifestations that are too diverse to be still clustered under the same diagnostic label.
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Reyfman PA, Washko GR, Dransfield MT, Spira A, Han MK, Kalhan R. Defining Impaired Respiratory Health. A Paradigm Shift for Pulmonary Medicine. Am J Respir Crit Care Med 2019; 198:440-446. [PMID: 29624449 DOI: 10.1164/rccm.201801-0120pp] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Affiliation(s)
- Paul A Reyfman
- 1 Asthma and COPD Program, Division of Pulmonary and Critical Care Medicine, and
| | - George R Washko
- 2 Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Mark T Dransfield
- 3 Lung Health Center, University of Alabama at Birmingham, Birmingham, Alabama
| | - Avrum Spira
- 4 BU-BMC Cancer Center and Division of Computational Biomedicine, Boston University School of Medicine, Boston, Massachusetts; and
| | - MeiLan K Han
- 5 Division of Pulmonary and Critical Care Medicine, University of Michigan Medical School, Ann Arbor, Michigan
| | - Ravi Kalhan
- 1 Asthma and COPD Program, Division of Pulmonary and Critical Care Medicine, and.,6 Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
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30
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Han MK, Tayob N, Murray S, Woodruff PG, Curtis JL, Kim V, Criner G, Galban CJ, Ross BD, Hoffman EA, Lynch DA, Kazerooni E, Martinez FJ. Association between Emphysema and Chronic Obstructive Pulmonary Disease Outcomes in the COPDGene and SPIROMICS Cohorts: A Post Hoc Analysis of Two Clinical Trials. Am J Respir Crit Care Med 2019; 198:265-267. [PMID: 29485901 DOI: 10.1164/rccm.201801-0051le] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
| | - Nabihah Tayob
- 2 University of Texas MD Anderson Cancer Center Houston, Texas
| | | | | | - Jeffrey L Curtis
- 1 University of Michigan Ann Arbor, Michigan.,4 VA Ann Arbor Healthcare System Ann Arbor, Michigan
| | - Victor Kim
- 5 Temple University Philadelphia, Pennsylvania
| | | | - Craig J Galban
- 6 University of Iowa College of Medicine Iowa City, Iowa
| | - Brian D Ross
- 6 University of Iowa College of Medicine Iowa City, Iowa
| | | | | | - Ella Kazerooni
- 6 University of Iowa College of Medicine Iowa City, Iowa
| | - Fernando J Martinez
- 1 University of Michigan Ann Arbor, Michigan.,8 Weill Cornell Medical College New York, New York
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31
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Martinez FJ, Han MK, Allinson JP, Barr RG, Boucher RC, Calverley PMA, Celli BR, Christenson SA, Crystal RG, Fagerås M, Freeman CM, Groenke L, Hoffman EA, Kesimer M, Kostikas K, Paine R, Rafii S, Rennard SI, Segal LN, Shaykhiev R, Stevenson C, Tal-Singer R, Vestbo J, Woodruff PG, Curtis JL, Wedzicha JA. At the Root: Defining and Halting Progression of Early Chronic Obstructive Pulmonary Disease. Am J Respir Crit Care Med 2019; 197:1540-1551. [PMID: 29406779 DOI: 10.1164/rccm.201710-2028pp] [Citation(s) in RCA: 165] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Affiliation(s)
- Fernando J Martinez
- 1 Weill Cornell Medical College, New York, New York.,2 University of Michigan School of Medicine, Ann Arbor, Michigan
| | - MeiLan K Han
- 2 University of Michigan School of Medicine, Ann Arbor, Michigan
| | | | | | | | | | | | | | | | | | - Christine M Freeman
- 2 University of Michigan School of Medicine, Ann Arbor, Michigan.,10 Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
| | | | - Eric A Hoffman
- 12 University of Iowa Carver College of Medicine, Iowa City, Iowa
| | - Mehmet Kesimer
- 5 University of North Carolina, Chapel Hill, North Carolina
| | | | - Robert Paine
- 14 University of Utah, Salt Lake City, Utah.,15 Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah
| | - Shahin Rafii
- 1 Weill Cornell Medical College, New York, New York
| | | | | | | | | | | | | | | | - Jeffrey L Curtis
- 2 University of Michigan School of Medicine, Ann Arbor, Michigan.,10 Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
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32
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Rahman O, Markl M, Balte P, Berhane H, Blanken C, Suwa K, Dashnaw S, Wieben O, Bluemke DA, Prince MR, Lima J, Michos E, Ambale-Venkatesh B, Hoffman EA, Gomes AS, Watson K, Sun Y, Carr J, Barr RG. Reproducibility and Changes in Vena Caval Blood Flow by Using 4D Flow MRI in Pulmonary Emphysema and Chronic Obstructive Pulmonary Disease (COPD): The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Substudy. Radiology 2019; 292:585-594. [PMID: 31335282 PMCID: PMC6736177 DOI: 10.1148/radiol.2019182143] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 05/19/2019] [Accepted: 06/03/2019] [Indexed: 11/11/2022]
Abstract
BackgroundChronic obstructive pulmonary disease (COPD) is associated with hemodynamic changes in the pulmonary vasculature. However, cardiac effects are not fully understood and vary by phenotype of chronic lower respiratory disease.PurposeTo use four-dimensional (4D) flow MRI for comprehensive assessment of the right-sided cardiovascular system, assess its interrater and intraobserver reproducibility, and examine associations with venous return to the right heart in individuals with chronic COPD and emphysema.Materials and MethodsThe Multi-Ethnic Study of Atherosclerosis COPD substudy prospectively recruited participants who smoked and who had COPD and nested control participants from population-based samples. Electrocardiography and respiratory gated 4D flow 1.5-T MRI was performed at three sites with full volumetric coverage of the thoracic vessels in 2014-2017 with postbronchodilator spirometry and inspiratory chest CT to quantify percent emphysema. Net flow, peak velocity, retrograde flow, and retrograde fraction were measured on 14 analysis planes. Interrater reproducibility was assessed by two independent observers, and the principle of conservation of mass was employed to evaluate the internal consistency of flow measures. Partial correlation coefficients were adjusted for age, sex, race/ethnicity, height, weight, and smoking status.ResultsAmong 70 participants (29 participants with COPD [mean age, 73.5 years ± 8.1 {standard deviation}; 20 men] and 41 control participants [mean age, 71.0 years ± 6.1; 22 men]), the interrater reproducibility of the 4D flow MRI measures was good to excellent (intraclass correlation coefficient range, 0.73-0.98), as was the internal consistency. There were no statistically significant differences in venous flow parameters according to COPD severity (P > .05). Greater percent emphysema at CT was associated with greater regurgitant flow in the superior and inferior caval veins and tricuspid valve (adjusted r = 0.28-0.55; all P < .01), particularly in the superior vena cava.ConclusionFour-dimensional flow MRI had good-to-excellent observer variability and flow consistency. Percent emphysema at CT was associated with statistically significant differences in retrograde flow, greatest in the superior vena cava.© RSNA, 2019Online supplemental material is available for this article.See also the editorial by Choe in this issue.
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Affiliation(s)
| | | | - Pallavi Balte
- From the Department of Radiology, Feinberg School of Medicine,
Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611
(O.R., M.M., H.B., C.B., K.S., J.C.); Departments of Radiology (O.R., S.D.,
M.R.P., Y.S.), Medicine (P.B., Y.S., R.G.B.), and Epidemiology (R.G.B.),
Columbia University Medical Center, New York, NY; Department of Radiology,
NewYork–Presbyterian Hospital, New York, NY (O.R.); Department of
Biomedical Engineering, McCormick School of Engineering, Northwestern
University, Evanston, Ill (M.M.); Departments of Medical Physics (O.W.) and
Radiology (D.A.B.), University of Wisconsin School of Medicine and Public
Health, Madison, Wis; Division of Cardiology, Johns Hopkins University,
Baltimore, Md (J.L., E.M., B.A.V.); Department of Radiology, Biomedical
Engineering and Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); and
Departments of Radiology (A.S.G.) and Medicine (K.W.), University of California
Los Angeles, Los Angeles, Calif
| | - Haben Berhane
- From the Department of Radiology, Feinberg School of Medicine,
Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611
(O.R., M.M., H.B., C.B., K.S., J.C.); Departments of Radiology (O.R., S.D.,
M.R.P., Y.S.), Medicine (P.B., Y.S., R.G.B.), and Epidemiology (R.G.B.),
Columbia University Medical Center, New York, NY; Department of Radiology,
NewYork–Presbyterian Hospital, New York, NY (O.R.); Department of
Biomedical Engineering, McCormick School of Engineering, Northwestern
University, Evanston, Ill (M.M.); Departments of Medical Physics (O.W.) and
Radiology (D.A.B.), University of Wisconsin School of Medicine and Public
Health, Madison, Wis; Division of Cardiology, Johns Hopkins University,
Baltimore, Md (J.L., E.M., B.A.V.); Department of Radiology, Biomedical
Engineering and Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); and
Departments of Radiology (A.S.G.) and Medicine (K.W.), University of California
Los Angeles, Los Angeles, Calif
| | - Carmen Blanken
- From the Department of Radiology, Feinberg School of Medicine,
Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611
(O.R., M.M., H.B., C.B., K.S., J.C.); Departments of Radiology (O.R., S.D.,
M.R.P., Y.S.), Medicine (P.B., Y.S., R.G.B.), and Epidemiology (R.G.B.),
Columbia University Medical Center, New York, NY; Department of Radiology,
NewYork–Presbyterian Hospital, New York, NY (O.R.); Department of
Biomedical Engineering, McCormick School of Engineering, Northwestern
University, Evanston, Ill (M.M.); Departments of Medical Physics (O.W.) and
Radiology (D.A.B.), University of Wisconsin School of Medicine and Public
Health, Madison, Wis; Division of Cardiology, Johns Hopkins University,
Baltimore, Md (J.L., E.M., B.A.V.); Department of Radiology, Biomedical
Engineering and Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); and
Departments of Radiology (A.S.G.) and Medicine (K.W.), University of California
Los Angeles, Los Angeles, Calif
| | - Kenichiro Suwa
- From the Department of Radiology, Feinberg School of Medicine,
Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611
(O.R., M.M., H.B., C.B., K.S., J.C.); Departments of Radiology (O.R., S.D.,
M.R.P., Y.S.), Medicine (P.B., Y.S., R.G.B.), and Epidemiology (R.G.B.),
Columbia University Medical Center, New York, NY; Department of Radiology,
NewYork–Presbyterian Hospital, New York, NY (O.R.); Department of
Biomedical Engineering, McCormick School of Engineering, Northwestern
University, Evanston, Ill (M.M.); Departments of Medical Physics (O.W.) and
Radiology (D.A.B.), University of Wisconsin School of Medicine and Public
Health, Madison, Wis; Division of Cardiology, Johns Hopkins University,
Baltimore, Md (J.L., E.M., B.A.V.); Department of Radiology, Biomedical
Engineering and Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); and
Departments of Radiology (A.S.G.) and Medicine (K.W.), University of California
Los Angeles, Los Angeles, Calif
| | - Stephen Dashnaw
- From the Department of Radiology, Feinberg School of Medicine,
Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611
(O.R., M.M., H.B., C.B., K.S., J.C.); Departments of Radiology (O.R., S.D.,
M.R.P., Y.S.), Medicine (P.B., Y.S., R.G.B.), and Epidemiology (R.G.B.),
Columbia University Medical Center, New York, NY; Department of Radiology,
NewYork–Presbyterian Hospital, New York, NY (O.R.); Department of
Biomedical Engineering, McCormick School of Engineering, Northwestern
University, Evanston, Ill (M.M.); Departments of Medical Physics (O.W.) and
Radiology (D.A.B.), University of Wisconsin School of Medicine and Public
Health, Madison, Wis; Division of Cardiology, Johns Hopkins University,
Baltimore, Md (J.L., E.M., B.A.V.); Department of Radiology, Biomedical
Engineering and Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); and
Departments of Radiology (A.S.G.) and Medicine (K.W.), University of California
Los Angeles, Los Angeles, Calif
| | - Oliver Wieben
- From the Department of Radiology, Feinberg School of Medicine,
Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611
(O.R., M.M., H.B., C.B., K.S., J.C.); Departments of Radiology (O.R., S.D.,
M.R.P., Y.S.), Medicine (P.B., Y.S., R.G.B.), and Epidemiology (R.G.B.),
Columbia University Medical Center, New York, NY; Department of Radiology,
NewYork–Presbyterian Hospital, New York, NY (O.R.); Department of
Biomedical Engineering, McCormick School of Engineering, Northwestern
University, Evanston, Ill (M.M.); Departments of Medical Physics (O.W.) and
Radiology (D.A.B.), University of Wisconsin School of Medicine and Public
Health, Madison, Wis; Division of Cardiology, Johns Hopkins University,
Baltimore, Md (J.L., E.M., B.A.V.); Department of Radiology, Biomedical
Engineering and Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); and
Departments of Radiology (A.S.G.) and Medicine (K.W.), University of California
Los Angeles, Los Angeles, Calif
| | - David A. Bluemke
- From the Department of Radiology, Feinberg School of Medicine,
Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611
(O.R., M.M., H.B., C.B., K.S., J.C.); Departments of Radiology (O.R., S.D.,
M.R.P., Y.S.), Medicine (P.B., Y.S., R.G.B.), and Epidemiology (R.G.B.),
Columbia University Medical Center, New York, NY; Department of Radiology,
NewYork–Presbyterian Hospital, New York, NY (O.R.); Department of
Biomedical Engineering, McCormick School of Engineering, Northwestern
University, Evanston, Ill (M.M.); Departments of Medical Physics (O.W.) and
Radiology (D.A.B.), University of Wisconsin School of Medicine and Public
Health, Madison, Wis; Division of Cardiology, Johns Hopkins University,
Baltimore, Md (J.L., E.M., B.A.V.); Department of Radiology, Biomedical
Engineering and Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); and
Departments of Radiology (A.S.G.) and Medicine (K.W.), University of California
Los Angeles, Los Angeles, Calif
| | - Martin R. Prince
- From the Department of Radiology, Feinberg School of Medicine,
Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611
(O.R., M.M., H.B., C.B., K.S., J.C.); Departments of Radiology (O.R., S.D.,
M.R.P., Y.S.), Medicine (P.B., Y.S., R.G.B.), and Epidemiology (R.G.B.),
Columbia University Medical Center, New York, NY; Department of Radiology,
NewYork–Presbyterian Hospital, New York, NY (O.R.); Department of
Biomedical Engineering, McCormick School of Engineering, Northwestern
University, Evanston, Ill (M.M.); Departments of Medical Physics (O.W.) and
Radiology (D.A.B.), University of Wisconsin School of Medicine and Public
Health, Madison, Wis; Division of Cardiology, Johns Hopkins University,
Baltimore, Md (J.L., E.M., B.A.V.); Department of Radiology, Biomedical
Engineering and Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); and
Departments of Radiology (A.S.G.) and Medicine (K.W.), University of California
Los Angeles, Los Angeles, Calif
| | - Joao Lima
- From the Department of Radiology, Feinberg School of Medicine,
Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611
(O.R., M.M., H.B., C.B., K.S., J.C.); Departments of Radiology (O.R., S.D.,
M.R.P., Y.S.), Medicine (P.B., Y.S., R.G.B.), and Epidemiology (R.G.B.),
Columbia University Medical Center, New York, NY; Department of Radiology,
NewYork–Presbyterian Hospital, New York, NY (O.R.); Department of
Biomedical Engineering, McCormick School of Engineering, Northwestern
University, Evanston, Ill (M.M.); Departments of Medical Physics (O.W.) and
Radiology (D.A.B.), University of Wisconsin School of Medicine and Public
Health, Madison, Wis; Division of Cardiology, Johns Hopkins University,
Baltimore, Md (J.L., E.M., B.A.V.); Department of Radiology, Biomedical
Engineering and Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); and
Departments of Radiology (A.S.G.) and Medicine (K.W.), University of California
Los Angeles, Los Angeles, Calif
| | - Erin Michos
- From the Department of Radiology, Feinberg School of Medicine,
Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611
(O.R., M.M., H.B., C.B., K.S., J.C.); Departments of Radiology (O.R., S.D.,
M.R.P., Y.S.), Medicine (P.B., Y.S., R.G.B.), and Epidemiology (R.G.B.),
Columbia University Medical Center, New York, NY; Department of Radiology,
NewYork–Presbyterian Hospital, New York, NY (O.R.); Department of
Biomedical Engineering, McCormick School of Engineering, Northwestern
University, Evanston, Ill (M.M.); Departments of Medical Physics (O.W.) and
Radiology (D.A.B.), University of Wisconsin School of Medicine and Public
Health, Madison, Wis; Division of Cardiology, Johns Hopkins University,
Baltimore, Md (J.L., E.M., B.A.V.); Department of Radiology, Biomedical
Engineering and Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); and
Departments of Radiology (A.S.G.) and Medicine (K.W.), University of California
Los Angeles, Los Angeles, Calif
| | - Bharath Ambale-Venkatesh
- From the Department of Radiology, Feinberg School of Medicine,
Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611
(O.R., M.M., H.B., C.B., K.S., J.C.); Departments of Radiology (O.R., S.D.,
M.R.P., Y.S.), Medicine (P.B., Y.S., R.G.B.), and Epidemiology (R.G.B.),
Columbia University Medical Center, New York, NY; Department of Radiology,
NewYork–Presbyterian Hospital, New York, NY (O.R.); Department of
Biomedical Engineering, McCormick School of Engineering, Northwestern
University, Evanston, Ill (M.M.); Departments of Medical Physics (O.W.) and
Radiology (D.A.B.), University of Wisconsin School of Medicine and Public
Health, Madison, Wis; Division of Cardiology, Johns Hopkins University,
Baltimore, Md (J.L., E.M., B.A.V.); Department of Radiology, Biomedical
Engineering and Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); and
Departments of Radiology (A.S.G.) and Medicine (K.W.), University of California
Los Angeles, Los Angeles, Calif
| | - Eric A. Hoffman
- From the Department of Radiology, Feinberg School of Medicine,
Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611
(O.R., M.M., H.B., C.B., K.S., J.C.); Departments of Radiology (O.R., S.D.,
M.R.P., Y.S.), Medicine (P.B., Y.S., R.G.B.), and Epidemiology (R.G.B.),
Columbia University Medical Center, New York, NY; Department of Radiology,
NewYork–Presbyterian Hospital, New York, NY (O.R.); Department of
Biomedical Engineering, McCormick School of Engineering, Northwestern
University, Evanston, Ill (M.M.); Departments of Medical Physics (O.W.) and
Radiology (D.A.B.), University of Wisconsin School of Medicine and Public
Health, Madison, Wis; Division of Cardiology, Johns Hopkins University,
Baltimore, Md (J.L., E.M., B.A.V.); Department of Radiology, Biomedical
Engineering and Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); and
Departments of Radiology (A.S.G.) and Medicine (K.W.), University of California
Los Angeles, Los Angeles, Calif
| | - Antoinette S. Gomes
- From the Department of Radiology, Feinberg School of Medicine,
Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611
(O.R., M.M., H.B., C.B., K.S., J.C.); Departments of Radiology (O.R., S.D.,
M.R.P., Y.S.), Medicine (P.B., Y.S., R.G.B.), and Epidemiology (R.G.B.),
Columbia University Medical Center, New York, NY; Department of Radiology,
NewYork–Presbyterian Hospital, New York, NY (O.R.); Department of
Biomedical Engineering, McCormick School of Engineering, Northwestern
University, Evanston, Ill (M.M.); Departments of Medical Physics (O.W.) and
Radiology (D.A.B.), University of Wisconsin School of Medicine and Public
Health, Madison, Wis; Division of Cardiology, Johns Hopkins University,
Baltimore, Md (J.L., E.M., B.A.V.); Department of Radiology, Biomedical
Engineering and Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); and
Departments of Radiology (A.S.G.) and Medicine (K.W.), University of California
Los Angeles, Los Angeles, Calif
| | - Karol Watson
- From the Department of Radiology, Feinberg School of Medicine,
Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611
(O.R., M.M., H.B., C.B., K.S., J.C.); Departments of Radiology (O.R., S.D.,
M.R.P., Y.S.), Medicine (P.B., Y.S., R.G.B.), and Epidemiology (R.G.B.),
Columbia University Medical Center, New York, NY; Department of Radiology,
NewYork–Presbyterian Hospital, New York, NY (O.R.); Department of
Biomedical Engineering, McCormick School of Engineering, Northwestern
University, Evanston, Ill (M.M.); Departments of Medical Physics (O.W.) and
Radiology (D.A.B.), University of Wisconsin School of Medicine and Public
Health, Madison, Wis; Division of Cardiology, Johns Hopkins University,
Baltimore, Md (J.L., E.M., B.A.V.); Department of Radiology, Biomedical
Engineering and Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); and
Departments of Radiology (A.S.G.) and Medicine (K.W.), University of California
Los Angeles, Los Angeles, Calif
| | - Yanping Sun
- From the Department of Radiology, Feinberg School of Medicine,
Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611
(O.R., M.M., H.B., C.B., K.S., J.C.); Departments of Radiology (O.R., S.D.,
M.R.P., Y.S.), Medicine (P.B., Y.S., R.G.B.), and Epidemiology (R.G.B.),
Columbia University Medical Center, New York, NY; Department of Radiology,
NewYork–Presbyterian Hospital, New York, NY (O.R.); Department of
Biomedical Engineering, McCormick School of Engineering, Northwestern
University, Evanston, Ill (M.M.); Departments of Medical Physics (O.W.) and
Radiology (D.A.B.), University of Wisconsin School of Medicine and Public
Health, Madison, Wis; Division of Cardiology, Johns Hopkins University,
Baltimore, Md (J.L., E.M., B.A.V.); Department of Radiology, Biomedical
Engineering and Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); and
Departments of Radiology (A.S.G.) and Medicine (K.W.), University of California
Los Angeles, Los Angeles, Calif
| | - James Carr
- From the Department of Radiology, Feinberg School of Medicine,
Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611
(O.R., M.M., H.B., C.B., K.S., J.C.); Departments of Radiology (O.R., S.D.,
M.R.P., Y.S.), Medicine (P.B., Y.S., R.G.B.), and Epidemiology (R.G.B.),
Columbia University Medical Center, New York, NY; Department of Radiology,
NewYork–Presbyterian Hospital, New York, NY (O.R.); Department of
Biomedical Engineering, McCormick School of Engineering, Northwestern
University, Evanston, Ill (M.M.); Departments of Medical Physics (O.W.) and
Radiology (D.A.B.), University of Wisconsin School of Medicine and Public
Health, Madison, Wis; Division of Cardiology, Johns Hopkins University,
Baltimore, Md (J.L., E.M., B.A.V.); Department of Radiology, Biomedical
Engineering and Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); and
Departments of Radiology (A.S.G.) and Medicine (K.W.), University of California
Los Angeles, Los Angeles, Calif
| | - R. Graham Barr
- From the Department of Radiology, Feinberg School of Medicine,
Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611
(O.R., M.M., H.B., C.B., K.S., J.C.); Departments of Radiology (O.R., S.D.,
M.R.P., Y.S.), Medicine (P.B., Y.S., R.G.B.), and Epidemiology (R.G.B.),
Columbia University Medical Center, New York, NY; Department of Radiology,
NewYork–Presbyterian Hospital, New York, NY (O.R.); Department of
Biomedical Engineering, McCormick School of Engineering, Northwestern
University, Evanston, Ill (M.M.); Departments of Medical Physics (O.W.) and
Radiology (D.A.B.), University of Wisconsin School of Medicine and Public
Health, Madison, Wis; Division of Cardiology, Johns Hopkins University,
Baltimore, Md (J.L., E.M., B.A.V.); Department of Radiology, Biomedical
Engineering and Medicine, University of Iowa, Iowa City, Iowa (E.A.H.); and
Departments of Radiology (A.S.G.) and Medicine (K.W.), University of California
Los Angeles, Los Angeles, Calif
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33
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Wang M, Aaron CP, Madrigano J, Hoffman EA, Angelini E, Yang J, Laine A, Vetterli TM, Kinney PL, Sampson PD, Sheppard LE, Szpiro AA, Adar SD, Kirwa K, Smith B, Lederer DJ, Diez-Roux AV, Vedal S, Kaufman JD, Barr RG. Association Between Long-term Exposure to Ambient Air Pollution and Change in Quantitatively Assessed Emphysema and Lung Function. JAMA 2019; 322:546-556. [PMID: 31408135 PMCID: PMC6692674 DOI: 10.1001/jama.2019.10255] [Citation(s) in RCA: 221] [Impact Index Per Article: 44.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Accepted: 06/24/2019] [Indexed: 12/20/2022]
Abstract
Importance While air pollutants at historical levels have been associated with cardiovascular and respiratory diseases, it is not known whether exposure to contemporary air pollutant concentrations is associated with progression of emphysema. Objective To assess the longitudinal association of ambient ozone (O3), fine particulate matter (PM2.5), oxides of nitrogen (NOx), and black carbon exposure with change in percent emphysema assessed via computed tomographic (CT) imaging and lung function. Design, Setting, and Participants This cohort study included participants from the Multi-Ethnic Study of Atherosclerosis (MESA) Air and Lung Studies conducted in 6 metropolitan regions of the United States, which included 6814 adults aged 45 to 84 years recruited between July 2000 and August 2002, and an additional 257 participants recruited from February 2005 to May 2007, with follow-up through November 2018. Exposures Residence-specific air pollutant concentrations (O3, PM2.5, NOx, and black carbon) were estimated by validated spatiotemporal models incorporating cohort-specific monitoring, determined from 1999 through the end of follow-up. Main Outcomes and Measures Percent emphysema, defined as the percent of lung pixels less than -950 Hounsfield units, was assessed up to 5 times per participant via cardiac CT scan (2000-2007) and equivalent regions on lung CT scans (2010-2018). Spirometry was performed up to 3 times per participant (2004-2018). Results Among 7071 study participants (mean [range] age at recruitment, 60 [45-84] years; 3330 [47.1%] were men), 5780 were assigned outdoor residential air pollution concentrations in the year of their baseline examination and during the follow-up period and had at least 1 follow-up CT scan, and 2772 had at least 1 follow-up spirometric assessment, over a median of 10 years. Median percent emphysema was 3% at baseline and increased a mean of 0.58 percentage points per 10 years. Mean ambient concentrations of PM2.5 and NOx, but not O3, decreased substantially during follow-up. Ambient concentrations of O3, PM2.5, NOx, and black carbon at study baseline were significantly associated with greater increases in percent emphysema per 10 years (O3: 0.13 per 3 parts per billion [95% CI, 0.03-0.24]; PM2.5: 0.11 per 2 μg/m3 [95% CI, 0.03-0.19]; NOx: 0.06 per 10 parts per billion [95% CI, 0.01-0.12]; black carbon: 0.10 per 0.2 μg/m3 [95% CI, 0.01-0.18]). Ambient O3 and NOx concentrations, but not PM2.5 concentrations, during follow-up were also significantly associated with greater increases in percent emphysema. Ambient O3 concentrations, but not other pollutants, at baseline and during follow-up were significantly associated with a greater decline in forced expiratory volume in 1 second per 10 years (baseline: 13.41 mL per 3 parts per billion [95% CI, 0.7-26.1]; follow-up: 18.15 mL per 3 parts per billion [95% CI, 1.59-34.71]). Conclusions and Relevance In this cohort study conducted between 2000 and 2018 in 6 US metropolitan regions, long-term exposure to ambient air pollutants was significantly associated with increasing emphysema assessed quantitatively using CT imaging and lung function.
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Affiliation(s)
- Meng Wang
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, New York
- Research and Education in Energy, Environment and Water Institute, University at Buffalo, Buffalo, New York
| | | | - Jaime Madrigano
- Department of Environmental Health Sciences, Epidemiology, Mailman School of Public Health; Columbia University, New York, New York
- RAND Corporation, Arlington, Virginia
| | | | - Elsa Angelini
- Department of Biomedical Engineering, Columbia University, New York, New York
| | - Jie Yang
- Department of Biomedical Engineering, Columbia University, New York, New York
| | - Andrew Laine
- Department of Biomedical Engineering, Columbia University, New York, New York
| | - Thomas M. Vetterli
- Department of Biomedical Engineering, Columbia University, New York, New York
| | - Patrick L. Kinney
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts
| | | | - Lianne E. Sheppard
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle
- Department of Biostatistics, School of Public Health, University of Washington, Seattle
| | - Adam A. Szpiro
- Department of Biostatistics, School of Public Health, University of Washington, Seattle
| | - Sara D. Adar
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor
| | - Kipruto Kirwa
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle
| | - Benjamin Smith
- Department of Medicine, Columbia University Medical Center, New York, New York
- Department of Medicine, McGill University Health Centre, Montréal, Canada
| | - David J. Lederer
- Department of Medicine, Columbia University Medical Center, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Ana V. Diez-Roux
- Department of Epidemiology, School of Public Health, Drexel University, Philadelphia, Pennsylvania
| | - Sverre Vedal
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle
| | - Joel D. Kaufman
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle
- Departments of Medicine and Epidemiology, University of Washington, Seattle
| | - R. Graham Barr
- Department of Medicine, Columbia University Medical Center, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
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34
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Im Y, Park HY, Shin S, Shin SH, Lee H, Ahn JH, Sohn I, Cho JH, Kim HK, Zo JI, Shim YM, Lee HY, Kim J. Prevalence of and risk factors for pulmonary complications after curative resection in otherwise healthy elderly patients with early stage lung cancer. Respir Res 2019; 20:136. [PMID: 31272446 PMCID: PMC6610954 DOI: 10.1186/s12931-019-1087-x] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Accepted: 05/30/2019] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND AND OBJECTIVE The prevalence of lung cancer has been increasing in healthy elderly patients with preserved pulmonary function and without underlying lung diseases. We aimed to determine the prevalence of and risk factors for postoperative pulmonary complications (PPCs) in healthy elderly patients with non-small cell lung cancer (NSCLC) to select optimal candidates for surgical resection in this subpopulation. METHODS We included 488 patients older than 70 years with normal spirometry results who underwent curative resection for NSCLC (stage IA-IIB) between 2012 and 2016. RESULTS The median (interquartile range) age of our cohort was 73 (71-76) years. Fifty-two patients (10.7%) had PPCs. Severe PPCs like acute respiratory distress syndrome, pneumonia, and respiratory failure had prevalences of 3.7, 3.7, and 1.4%, respectively. Compared to patients without PPCs, those with PPCs were more likely to be male and current smokers; have a lower body mass index (BMI), higher American Society of Anesthesiologists (ASA) classification, more interstitial lung abnormalities (ILAs), and higher emphysema index on computed tomography (CT); and have undergone pneumonectomy or bilobectomy (all p < 0.05). On multivariate analysis, ASA classification ≥3, lower BMI, ILA, and extent of resection were independently associated with PPC risk. The short-term all-cause mortality was significantly higher in patients with PPCs. CONCLUSIONS Curative resection for NSCLC in healthy elderly patients appeared feasible with 10% PPCs. ASA classification ≥3, lower BMI, presence of ILA on CT, and larger extent of resection are predictors of PPC development, which guide treatment decision-making in these patients.
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Affiliation(s)
- Yunjoo Im
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hye Yun Park
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Sumin Shin
- Department of Thoracic and Cardiovascular Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, South Korea
| | - Sun Hye Shin
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hyun Lee
- Division of Pulmonary Medicine and Allergy, Department of Internal Medicine, Hanyang University College of Medicine, Seoul, South Korea
| | - Joong Hyun Ahn
- Statistics and Data Center, Samsung Medical Center, Seoul, South Korea
| | - Insuk Sohn
- Statistics and Data Center, Samsung Medical Center, Seoul, South Korea
| | - Jong Ho Cho
- Department of Thoracic and Cardiovascular Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, South Korea
| | - Hong Kwan Kim
- Department of Thoracic and Cardiovascular Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, South Korea
| | - Jae Ill Zo
- Department of Thoracic and Cardiovascular Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, South Korea
| | - Young Mog Shim
- Department of Thoracic and Cardiovascular Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, South Korea
| | - Ho Yun Lee
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, South Korea. .,Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea.
| | - Jhingook Kim
- Department of Thoracic and Cardiovascular Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, South Korea.
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35
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Recent Advances in Computed Tomography Imaging in Chronic Obstructive Pulmonary Disease. Ann Am Thorac Soc 2019; 15:281-289. [PMID: 28812906 DOI: 10.1513/annalsats.201705-377fr] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Lung imaging is increasingly being used to diagnose, quantify, and phenotype chronic obstructive pulmonary disease (COPD). Although spirometry is the gold standard for the diagnosis of COPD and for severity staging, the role of computed tomography (CT) imaging has expanded in both clinical practice and research. COPD is a heterogeneous disease with considerable variability in clinical features, radiographic disease, progression, and outcomes. Recent studies have examined the utility of CT imaging in enhancing diagnostic certainty, improving phenotyping, predicting disease progression and prognostication, selecting patients for intervention, and also in furthering our understanding of the complex pathophysiology of this disease. Multiple CT metrics show promise for use as imaging biomarkers in COPD.
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36
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Early imaging biomarkers of lung cancer, COPD and coronary artery disease in the general population: rationale and design of the ImaLife (Imaging in Lifelines) Study. Eur J Epidemiol 2019; 35:75-86. [PMID: 31016436 PMCID: PMC7058676 DOI: 10.1007/s10654-019-00519-0] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Accepted: 04/10/2019] [Indexed: 12/17/2022]
Abstract
Lung cancer, chronic obstructive pulmonary disease (COPD), and coronary artery disease (CAD) are expected to cause most deaths by 2050. State-of-the-art computed tomography (CT) allows early detection of lung cancer and simultaneous evaluation of imaging biomarkers for the early stages of COPD, based on pulmonary density and bronchial wall thickness, and of CAD, based on the coronary artery calcium score (CACS), at low radiation dose. To determine cut-off values for positive tests for elevated risk and presence of disease is one of the major tasks before considering implementation of CT screening in a general population. The ImaLife (Imaging in Lifelines) study, embedded in the Lifelines study, is designed to establish the reference values of the imaging biomarkers for the big three diseases in a well-defined general population aged 45 years and older. In total, 12,000 participants will undergo CACS and chest acquisitions with latest CT technology. The estimated percentage of individuals with lung nodules needing further workup is around 1–2%. Given the around 10% prevalence of COPD and CAD in the general population, the expected number of COPD and CAD is around 1000 each. So far, nearly 4000 participants have been included. The ImaLife study will allow differentiation between normal aging of the pulmonary and cardiovascular system and early stages of the big three diseases based on low-dose CT imaging. This information can be finally integrated into personalized precision health strategies in the general population.
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37
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Yang J, Vetterli T, Balte PP, Barr RG, Laine AF, Angelini ED. UNSUPERVISED DOMAIN ADAPTION WITH ADVERSARIAL LEARNING (UDAA) FOR EMPHYSEMA SUBTYPING ON CARDIAC CT SCANS: THE MESA STUDY. PROCEEDINGS. IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING 2019; 2019:289-293. [PMID: 39398279 PMCID: PMC11467957 DOI: 10.1109/isbi.2019.8759525] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/15/2024]
Abstract
Emphysema quantification and sub-typing is actively studied on cohorts of full-lung high-resolution CT (HRCT) scans, with promising results. Transfer of quantification and classification tools to cardiac CT scans, which involve 70% of the lungs, is challenging due to lower image resolution and degradation of textural patterns. In this study, we propose an original deep-learning domain-adaptation framework to use a pre-existing dictionary of lung texture patterns (LTP), learned on gold-standard full-lung HRCT scans, to label emphysema regions on cardiac CT scans. The method exploits convolutional neural networks (CNNs) trained for: 1) supervised lung texture classification on synthetic cardiac images, and 2) adversarial learning to discriminate between real and synthetic cardiac images. Combination of the classification and adversarial tasks enables to label real cardiac CT scans, and is evaluated on the MESA cohort (N = 15,357 scans). Our results show that image features derived from the adversarial training preserve the labeling accuracy on synthetic scans. LTP histogram signatures generated on 4,315 longitudinal pairs of cardiac CT scans, show high level of consistency over time and scanner generations. The ability to robustly label emphysema texture patterns on cardiac CT scans will enable large-scale longitudinal studies over 10 years of follow-up, for better understanding of the disease progression.
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Affiliation(s)
- Jie Yang
- Department of Biomedical Engineering, Columbia University, NY, USA
| | - Thomas Vetterli
- Department of Biomedical Engineering, Columbia University, NY, USA
| | - Pallavi P Balte
- Department of Medicine, Columbia University Medical Center, New York, NY, USA
| | - R Graham Barr
- Department of Medicine, Columbia University Medical Center, New York, NY, USA
- Department of Epidemiology, Columbia University Medical Center, New York, NY, USA
| | - Andrew F Laine
- Department of Biomedical Engineering, Columbia University, NY, USA
| | - Elsa D Angelini
- Department of Biomedical Engineering, Columbia University, NY, USA
- NIHR Imperial BRC, ITMAT Data Science Group, Imperial College, London, UK
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38
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Regan EA, Lowe KE, Make BJ, Lynch DA, Kinney GL, Budoff MJ, Mao SS, Dyer D, Curtis JL, Bowler RP, Han MK, Beaty TH, Hokanson JE, Kern E, Humphries S, Curran-Everett D, van Beek EJR, Silverman EK, Crapo JD, Finigan JH. Identifying Smoking-Related Disease on Lung Cancer Screening CT Scans: Increasing the Value. CHRONIC OBSTRUCTIVE PULMONARY DISEASES-JOURNAL OF THE COPD FOUNDATION 2019; 6:233-245. [PMID: 31342730 DOI: 10.15326/jcopdf.6.3.2018.0142] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Background Lung cancer screening (LCS) via chest computed tomography (CT) scans can save lives by identifying early-stage tumors. However, most smokers die of comorbid smoking-related diseases. LCS scans contain information about smoking-related conditions that is not currently systematically assessed. Identifying these common comorbid diseases on CT could increase the value of screening with minimal impact on LCS programs. We determined the prevalence of 3 comorbid diseases from LCS eligible scans and quantified related adverse outcomes. Methods We studied COPD Genetic Epidemiology study (COPDGene®) participants (n=4078) who met criteria for LCS screening at enrollment (age > 55 years, and < 80 years, > 30 pack years smoking, current smoker or former smoker within 15 years of smoking cessation). CT scans were assessed for coronary artery calcification (CAC), emphysema, and vertebral bone density. We tracked the following clinically significant events: myocardial infarctions (MIs), strokes, pneumonia, respiratory exacerbations, and hip and vertebral fractures. Results Overall, 77% of eligible CT scans had one or more of these diagnoses identified. CAC (> 100 mg) was identified in 51% of scans, emphysema in 44%, and osteoporosis in 54%. Adverse events related to the underlying smoking-related diseases were common, with 50% of participants reporting at least one. New diagnoses of cardiovascular disease, emphysema and osteoporosis were made in 25%, 7% and 46%, of participants respectively. New diagnosis of disease was associated with significantly more adverse events than in participants who did not have CT diagnoses for both osteoporosis and cardiovascular risk. Conclusions Expanded analysis of LCS CT scans identified individuals with evidence of previously undiagnosed cardiovascular disease, emphysema or osteoporosis that corresponded with adverse events. LCS CT scans can potentially facilitate diagnoses of these smoking-related diseases and provide an opportunity for treatment or prevention.
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Affiliation(s)
- Elizabeth A Regan
- Division of Pulmonary Medicine National Jewish Health, Denver, Colorado.,School of Public Health, University of Colorado, Denver
| | - Katherine E Lowe
- Division of Pulmonary Medicine National Jewish Health, Denver, Colorado.,School of Public Health, University of Colorado, Denver
| | - Barry J Make
- Division of Pulmonary Medicine National Jewish Health, Denver, Colorado
| | - David A Lynch
- Division of Pulmonary Medicine National Jewish Health, Denver, Colorado
| | | | - Matthew J Budoff
- Division of Cardiology, Harbor-University of California-Los Angeles Medical Center, Los Angeles
| | - Song Shou Mao
- Division of Cardiology, Harbor-University of California-Los Angeles Medical Center, Los Angeles
| | - Debra Dyer
- Division of Pulmonary Medicine National Jewish Health, Denver, Colorado
| | - Jeffrey L Curtis
- Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor.,Pulmonary and Critical Care Medicine, Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Russell P Bowler
- Division of Pulmonary Medicine National Jewish Health, Denver, Colorado
| | - MeiLan K Han
- Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor
| | - Terri H Beaty
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | | | - Elizabeth Kern
- Division of Pulmonary Medicine National Jewish Health, Denver, Colorado
| | - Stephen Humphries
- Division of Pulmonary Medicine National Jewish Health, Denver, Colorado
| | | | - Edwin J R van Beek
- Edinburgh Imaging, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, Scottland
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham Women's Hospital, Boston, Massachusetts
| | - James D Crapo
- Division of Pulmonary Medicine National Jewish Health, Denver, Colorado
| | - James H Finigan
- Division of Pulmonary Medicine National Jewish Health, Denver, Colorado
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39
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Lee SJ, Yoo JW, Ju S, Cho YJ, Kim JD, Kim SH, Jang IS, Jeong BK, Lee GW, Jeong YY, Kim HC, Bae K, Jeon KN, Lee JD. Quantitative severity of pulmonary emphysema as a prognostic factor for recurrence in patients with surgically resected non-small cell lung cancer. Thorac Cancer 2018; 10:421-427. [PMID: 30507005 PMCID: PMC6397901 DOI: 10.1111/1759-7714.12920] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Revised: 10/23/2018] [Accepted: 10/24/2018] [Indexed: 11/29/2022] Open
Abstract
Background Pulmonary emphysema is a major component of chronic obstructive pulmonary disease and lung cancer. However the prognostic significance of quantitative emphysema severity in patients with lung cancer is unclear. We analyzed whether numerical emphysema value is a prognostic factor for recurrence in patients with surgically resected non‐small cell lung cancer. Methods We quantified emphysema severity of the whole lung and regional lobes in 45 patients (mean age 68.0 years) using an automated chest computed tomography‐based program. Predictive factors for recurrence were investigated using a Cox proportional hazards model. Recurrence‐free and overall survival was compared after dichotomization of patients according to whole lung emphysema severity. Results The mean percentage emphysema ratio of the whole lung was 1.21 ± 2.04. Regional lobar emphysema severity was highest in the right middle lobe (1.93 ± 0.36), followed by right upper (1.35 ± 2.50), left upper (1.34 ± 2.12), left lower (1.05 ± 2.52), and right lower (0.78 ± 2.28) lobes. The low severity group showed significantly longer overall survival compared to the high severity group (log‐rank test, P = 0.018). Quantitative emphysema severity of the whole lung (hazard ratio 1.36; 95% confidence interval 1.0–1.73) and stage III (hazard ratio 6.17; 95% confidence interval 1.52–25.0) were independent predictors of recurrence after adjusting for age, gender, smoking status, and forced expiratory volume in one second. Conclusion The severity of whole lung emphysema was independently associated with recurrence. Patients with non‐small cell lung cancer and marginal pulmonary emphysema at lower severity survive longer after curative‐intent surgery.
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Affiliation(s)
- Seung Jun Lee
- Division of Pulmonology and Allergy, Department of Internal Medicine, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju, South Korea
| | - Jung Wan Yoo
- Division of Pulmonology and Allergy, Department of Internal Medicine, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju, South Korea
| | - Sunmi Ju
- Division of Pulmonology and Allergy, Department of Internal Medicine, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju, South Korea
| | - Yu Ji Cho
- Division of Pulmonology and Allergy, Department of Internal Medicine, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju, South Korea
| | - Jong Duk Kim
- Department of Thoracic and Cardiovascular Surgery, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Changwon, South Korea
| | - Sung Hwan Kim
- Department of Thoracic and Cardiovascular Surgery, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Changwon, South Korea
| | - In-Seok Jang
- Department of Thoracic and Cardiovascular Surgery, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Changwon, South Korea
| | - Bae Kwon Jeong
- Department of Radiation Oncology, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju, South Korea
| | - Gyeong-Won Lee
- Department of Hematology and Oncology, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju, South Korea
| | - Yi Yeong Jeong
- Division of Pulmonology and Allergy, Department of Internal Medicine, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju, South Korea
| | - Ho Cheol Kim
- Division of Pulmonology and Allergy, Department of Internal Medicine, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju, South Korea
| | - Kyungsoo Bae
- Department of Radiology, Gyeongsang National University Changwon Hospital, Changwon, Gyeongsang National University School of Medicine, Jinju, South Korea
| | - Kyung Nyeo Jeon
- Department of Radiology, Gyeongsang National University Changwon Hospital, Changwon, Gyeongsang National University School of Medicine, Jinju, South Korea
| | - Jong Deog Lee
- Division of Pulmonology and Allergy, Department of Internal Medicine, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju, South Korea
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40
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Oelsner EC, Balte PP, Cassano PA, Couper D, Enright PL, Folsom AR, Hankinson J, Jacobs DR, Kalhan R, Kaplan R, Kronmal R, Lange L, Loehr LR, London SJ, Navas Acien A, Newman AB, O’Connor GT, Schwartz JE, Smith LJ, Yeh F, Zhang Y, Moran AE, Mwasongwe S, White WB, Yende S, Barr RG. Harmonization of Respiratory Data From 9 US Population-Based Cohorts: The NHLBI Pooled Cohorts Study. Am J Epidemiol 2018; 187:2265-2278. [PMID: 29982273 PMCID: PMC6211239 DOI: 10.1093/aje/kwy139] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Revised: 04/13/2018] [Accepted: 04/17/2018] [Indexed: 12/13/2022] Open
Abstract
Chronic lower respiratory diseases (CLRDs) are the fourth leading cause of death in the United States. To support investigations into CLRD risk determinants and new approaches to primary prevention, we aimed to harmonize and pool respiratory data from US general population-based cohorts. Data were obtained from prospective cohorts that performed prebronchodilator spirometry and were harmonized following 2005 ATS/ERS standards. In cohorts conducting follow-up for noncardiovascular events, CLRD events were defined as hospitalizations/deaths adjudicated as CLRD-related or assigned relevant administrative codes. Coding and variable names were applied uniformly. The pooled sample included 65,251 adults in 9 cohorts followed-up for CLRD-related mortality over 653,380 person-years during 1983-2016. Average baseline age was 52 years; 56% were female; 49% were never-smokers; and racial/ethnic composition was 44% white, 22% black, 28% Hispanic/Latino, and 5% American Indian. Over 96% had complete data on smoking, clinical CLRD diagnoses, and dyspnea. After excluding invalid spirometry examinations (13%), there were 105,696 valid examinations (median, 2 per participant). Of 29,351 participants followed for CLRD hospitalizations, median follow-up was 14 years; only 5% were lost to follow-up at 10 years. The NHLBI Pooled Cohorts Study provides a harmonization standard applied to a large, US population-based sample that may be used to advance epidemiologic research on CLRD.
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MESH Headings
- Adolescent
- Adult
- Aged
- Aged, 80 and over
- Body Weights and Measures
- Bronchiectasis/epidemiology
- Bronchiectasis/physiopathology
- Chronic Disease
- Cohort Studies
- Ethnicity/statistics & numerical data
- Female
- Hispanic or Latino/statistics & numerical data
- Hospitalization/statistics & numerical data
- Humans
- Indians, North American/statistics & numerical data
- Inhalation Exposure/statistics & numerical data
- Lung Diseases, Obstructive/epidemiology
- Lung Diseases, Obstructive/ethnology
- Lung Diseases, Obstructive/mortality
- Lung Diseases, Obstructive/physiopathology
- Male
- Middle Aged
- National Heart, Lung, and Blood Institute (U.S.)/organization & administration
- National Heart, Lung, and Blood Institute (U.S.)/standards
- Phenotype
- Racial Groups/statistics & numerical data
- Respiratory Function Tests
- Risk Factors
- Smoking/epidemiology
- Socioeconomic Factors
- United States/epidemiology
- White People/statistics & numerical data
- Young Adult
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Affiliation(s)
- Elizabeth C Oelsner
- Division of General Medicine, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Pallavi P Balte
- Division of General Medicine, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
| | - Patricia A Cassano
- Division of Nutritional Sciences, Weill Cornell Medical College, Ithaca, New York
| | - David Couper
- Collaborative Studies Coordinating Center, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina
| | - Paul L Enright
- Department of Medicine, College of Medicine, University of Arizona, Tucson, Arizona
| | - Aaron R Folsom
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | | | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | | | - Robert Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, New York
| | - Richard Kronmal
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington
| | - Leslie Lange
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado, Denver, Colorado
| | - Laura R Loehr
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina
| | - Stephanie J London
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina
| | - Ana Navas Acien
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
| | - Anne B Newman
- Department of Epidemiology, Pitt Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - George T O’Connor
- Department of Medicine, School of Medicine, Boston University, Boston, Massachusetts
| | - Joseph E Schwartz
- Division of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stony Brook University, Stony Brook, New York
| | | | - Fawn Yeh
- Biostatistics and Epidemiology, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Yiyi Zhang
- Division of General Medicine, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
| | - Andrew E Moran
- Division of General Medicine, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
| | | | - Wendy B White
- Jackson Heart Study, Undergraduate Training and Education Center, Tougaloo College, Tougaloo, Mississippi
| | - Sachin Yende
- Division of Pulmonary and Critical Care, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - R Graham Barr
- Division of General Medicine, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
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Impact of pulmonary emphysema on exercise capacity and its physiological determinants in chronic obstructive pulmonary disease. Sci Rep 2018; 8:15745. [PMID: 30356114 PMCID: PMC6200804 DOI: 10.1038/s41598-018-34014-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Accepted: 10/05/2018] [Indexed: 12/27/2022] Open
Abstract
Exercise limitation is common in chronic obstructive pulmonary disease (COPD). We determined the impact of pulmonary emphysema on the physiological response to exercise independent of contemporary measures of COPD severity. Smokers 40–79 years old with COPD underwent computed tomography, pulmonary function tesing, and symptom-limited incremental exercise testing. COPD severity was quantified according to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) by spirometry (GOLD 1–4); and symptom burden and exacerbation risk (GOLD A-D). Emphysema severity was quantified as the percent lung volume <−950 Hounsfield units. Regression models adjusted for age, gender, body size, smoking status, airflow limitation, symptom burden and exacerbation risk. Among 67 COPD subjects (age 67 ± 8 years; 75% male; GOLD 1–4: 11%, 43%, 30%, 16%), median percent emphysema was 11%, and peak power output (PPO) was 61 ± 32 W. Higher percent emphysema independently predicted lower PPO (−24 W per 10% increment in emphysema; 95%CI −41 to −7 W). Throughout exercise, higher percent emphysema predicted 1) higher minute ventilation, ventilatory equivalent for CO2, and heart rate; and 2) lower oxy-hemoglobin saturation, and end-tidal PCO2. Independent of contemporary measures of COPD severity, the extent of pulmonary emphysema predicts lower exercise capacity, ventilatory inefficiency, impaired gas-exchange and increased heart rate response to exercise.
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Ronit A, Kristensen T, Çolak Y, Kühl JT, Kalhauge A, Lange P, Nordestgaard BG, Vestbo J, Nielsen SD, Kofoed KF. Validation of lung density indices by cardiac CT for quantification of lung emphysema. Int J Chron Obstruct Pulmon Dis 2018; 13:3321-3330. [PMID: 30349236 PMCID: PMC6188118 DOI: 10.2147/copd.s172695] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Objectives Cardiovascular disease is often associated with COPD. Lung density quantification of images obtained from cardiac computed tomography (CT) scans would allow simultaneous evaluation of emphysema and coronary artery calcification score and provide further mechanistic insight into the relationship between these syndromes. Patients and methods We assessed the agreement between lung density indices obtained by cardiac and full-lung CT scans. Paired cardiac and chest CT scans were assessed in 156 individuals with and without airflow limitation. Quantitative threshold indices of low attenuation area (LAA) and 15th percentile density index (PD15) were compared in terms of precision using Spearman’s correlation coefficient, accuracy using concordance correlation coefficient (CCC), and relative accuracy using P15 and P30. We also assessed the relationship between visually and quantitatively determined emphysema and used receiver operating characteristic curves to evaluate the ability of lung density indices to discriminate airflow limitation. Results Correlation coefficients between lung density indices obtained from cardiac and chest CT scans were 0.49 for percent LAA (%LAA)-950 and 0.71 for PD15. Corresponding values for CCC, P15, and P30 were 0.33, 3.2, and 5.1, respectively, for %LAA-950, and 0.34, 17.3, and 37.8, respectively, for PD15. For both cardiac and chest CT scans, visually determined emphysema was associated with higher %LAA-950 and lower PD15, and the ability of %LAA-950 and PD15 to discriminate airflow limitation were comparable. Conclusion Although chest CT imaging is preferable, cardiac CT imaging may also be used for lung emphysema quantification where association measures are of primary interest.
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Affiliation(s)
- Andreas Ronit
- Department of Infectious Diseases 8632, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark,
| | - Thomas Kristensen
- Department of Radiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Yunus Çolak
- Department of Clinical Biochemistry and the Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Jørgen Tobias Kühl
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Anna Kalhauge
- Department of Radiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Peter Lange
- Department of Public Health, Section of Social Medicine, University of Copenhagen, Copenhagen, Denmark.,Medical Unit, Respiratory Section, Hvidovre Hospital, Copenhagen University Hospital, Hvidovre, Denmark
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry and the Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jørgen Vestbo
- Division of Infection, Immunity and Respiratory Medicine, University of Manchester, Manchester, UK
| | - Susanne D Nielsen
- Department of Infectious Diseases 8632, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark,
| | - Klaus F Kofoed
- Department of Radiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.,Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
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Abstract
Many unmet needs still remain in the assessment and treatment of patients with chronic obstructive pulmonary disease (COPD), particularly in relation to its under- and misdiagnosis, which lead to under- and mistreatment. This paucity of knowledge about the importance and presence of COPD, as well as its treatment, is seen among patients and carers as well as health care providers. This review considers areas of key educational need, including the clinical characteristics of COPD; factors that contribute to the disease, effective diagnosis, and clinical management of patients; and the implementation of treatment guidelines. As COPD remains the third most frequent cause of death in the world, researchers must continue to expand the scope and reach of their efforts to improve outcomes of this debilitating disease.
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Tanabe N, Muro S, Sato S, Oguma T, Sato A, Hirai T. Fractal analysis of low attenuation clusters on computed tomography in chronic obstructive pulmonary disease. BMC Pulm Med 2018; 18:144. [PMID: 30157833 PMCID: PMC6116481 DOI: 10.1186/s12890-018-0714-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Accepted: 08/24/2018] [Indexed: 01/20/2023] Open
Abstract
Background The fractal dimension characterizing the cumulative size distribution of low attenuation area (LAA) clusters, identified with a fixed threshold such as − 950 Hounsfield Units (HU), on computed tomography (CT) sensitively detects parenchymal destruction in chronic obstructive pulmonary disease (COPD) even when the percent LAA (LAA%), a standard emphysema index, is unchanged. This study examines whether the cumulative size distribution of LAA clusters, defined with thresholds of the 15th, 25th, and 35th percentiles of a CT density histogram instead of the fixed-threshold of − 950 HU, exhibits a fractal property and whether its fractal dimension (D’15, D’25, and D’35, respectively) provides additional structural information in emphysematous lungs that is difficult to detect with the conventional − 950-HU-based fractal dimension (D950). Methods Chest inspiratory CT scans and pulmonary functions were cross-sectionally examined in 170 COPD subjects. A proxy for the inspiration level at CT scan was obtained by dividing CT-measured total lung volume (CT-TLV) by physiologically measured total lung capacity. Moreover, long-term (> 5 years) changes in D950 and the new fractal dimensions were longitudinally evaluated in 17 current and 42 former smokers with COPD. Results D950, but not D’15, D’25, or D’35 was weakly correlated with the proxy for the inspiration. D950, D’25, and D’35 but not D’15 correlated with LAA% and diffusion capacity. In the long-term longitudinal study, LAA% was increased and D950 and D’35 were decreased in both current and former smokers, while D’25 was decreased only in current smokers and D’15 was not changed in either group. The longitudinal changes in D’25 but not those in LAA%, D950, D’15, and D’35 were greater in current smokers than in former smokers. This greater change in D’25 in current smokers was confirmed after adjusting the change in CT-TLV and the baseline D’25. Conclusions D’25 reflects diffusion capacity in emphysematous lungs and is robust against inspiration levels during CT scans. This new fractal dimension might provide additional structural information that is difficult to detect with the conventional D950 and LAA% and allow for more sensitive evaluation of emphysema progression over time. Electronic supplementary material The online version of this article (10.1186/s12890-018-0714-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Naoya Tanabe
- 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, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Susumu Sato
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Tsuyoshi Oguma
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Atsuyasu Sato
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 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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45
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Kohli P, Staziaki PV, Janjua SA, Addison DA, Hallett TR, Hennessy O, Takx RAP, Lu MT, Fintelmann FJ, Semigran M, Harris RS, Celli BR, Hoffmann U, Neilan TG. The effect of emphysema on readmission and survival among smokers with heart failure. PLoS One 2018; 13:e0201376. [PMID: 30059544 PMCID: PMC6066229 DOI: 10.1371/journal.pone.0201376] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Accepted: 07/13/2018] [Indexed: 12/22/2022] Open
Abstract
Heart Failure (HF) and chronic obstructive pulmonary disease (COPD) are morbid diseases that often coexist. In patients with coexisting disease, COPD is an independent risk factor for readmission and mortality. However, spirometry is often inaccurate in those with active heart failure. Therefore, we investigated the association between the presence of emphysema on computed tomography (CT) and readmission rates in smokers admitted with heart failure (HF). The cohort included a consecutive group of smokers discharged with HF from a tertiary center between January 1, 2014 and April 1, 2014 who also had a CT of the chest for dyspnea. The primary endpoint was any readmission for HF before April 1, 2016; secondary endpoints were 30-day readmission for HF, length of stay and all-cause mortality. Over the study period, there were 225 inpatient smokers with HF who had a concurrent chest CT (155 [69%] males, age 69±11 years, ejection fraction [EF] 46±18%, 107 [48%] LVEF of < 50%). Emphysema on CT was present in 103 (46%) and these were older, had a lower BMI, more pack-years, less diabetes and an increased afterload. During a follow-up of 2.1 years, there were 110 (49%) HF readmissions and 55 (24%) deaths. When separated by emphysema on CT, any readmission, 30-day readmission, length of stay and mortality were higher among HF patients with emphysema. In multivariable regression, emphysema by CT was associated with a two-fold higher (adjusted HR 2.11, 95% CI 1.41–3.15, p < 0.001) risk of readmission and a trend toward increased mortality (adjusted HR 1.70 95% CI 0.86–3.34, p = 0.12). In conclusion, emphysema by CT is a frequent finding in smokers hospitalized with HF and is associated with adverse outcomes in HF. This under recognized group of patients with both emphysema and heart failure may benefit from improved recognition and characterization of their co-morbid disease processes and optimization of therapies for their lung disease.
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Affiliation(s)
- Puja Kohli
- Pulmonary and Critical Care Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- * E-mail:
| | - Pedro V. Staziaki
- Cardiac MR PET CT Program, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Sumbal A. Janjua
- Cardiac MR PET CT Program, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Daniel A. Addison
- Cardiac MR PET CT Program, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Travis R. Hallett
- Cardiac MR PET CT Program, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Orla Hennessy
- Cardiac MR PET CT Program, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Richard A. P. Takx
- Cardiac MR PET CT Program, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Michael T. Lu
- Cardiac MR PET CT Program, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Florian J. Fintelmann
- Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Marc Semigran
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Robert S. Harris
- Pulmonary and Critical Care Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Bartolome R. Celli
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham & Women’s Hospital, Boston, Massachusetts, United States of America
| | - Udo Hoffmann
- Cardiac MR PET CT Program, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Tomas G. Neilan
- Cardiac MR PET CT Program, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
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46
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van Oostrom SH, Engelfriet PM, Verschuren WMM, Schipper M, Wouters IM, Boezen M, Smit HA, Kerstjens HAM, Picavet HSJ. Aging-related trajectories of lung function in the general population-The Doetinchem Cohort Study. PLoS One 2018; 13:e0197250. [PMID: 29768509 PMCID: PMC5955530 DOI: 10.1371/journal.pone.0197250] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Accepted: 04/30/2018] [Indexed: 01/07/2023] Open
Abstract
The objective of this study was to explore trajectories of lung function decline with age in the general population, and to study the effect of sociodemographic and life style related risk factors, in particular smoking and BMI. For this purpose, we used data from the Doetinchem Cohort Study (DCS) of men and women, selected randomly from the general population and aged 20–59 years at inclusion in 1987–1991, and followed until the present. Participants in the DCS are assessed every five years. Spirometry has been performed as part of this assessment from 1994 onwards. Participants were included in this study if spirometric measurement of FEV1, which in this study was the main parameter of interest, was acceptable and reproducible on at least one measurement round, leading to the inclusion of 5727 individuals (3008 females). Statistical analysis revealed three typical trajectories. The majority of participants followed a trajectory that closely adhered to the Global Lung Initiative Reference values (94.9% of men and 96.4% of women). Two other trajectories showed a more pronounced decline. Smoking and the presence of respiratory complaints were the best predictors of a trajectory with stronger decline. A greater BMI over the follow-up period was associated with a more unfavorable FEV1 course both in men (β = -0.027 (SD = 0.002); P < 0.001) and in women (β = -0.008 (SD = 0.001); P < 0.001). Smokers at baseline who quit the habit during follow-up, showed smaller decline in FEV1 in comparison to persistent smokers, independent of BMI change (In men β = -0.074 (SD = 0.020); P < 0.001. In women β = -0.277 (SD = 0.068); P < 0.001). In conclusion, three typical trajectories of age-related FEV1 decline could be distinguished. Change in the lifestyle related risk factors, BMI and smoking, significantly impact aging-related decline of lung function. Identifying deviant trajectories may help in early recognition of those at risk of a diagnosis of lung disease later in life.
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Affiliation(s)
- Sandra H. van Oostrom
- Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Peter M. Engelfriet
- Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
- * E-mail:
| | - W. M. Monique Verschuren
- Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Maarten Schipper
- Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Inge M. Wouters
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Marike Boezen
- Department of Epidemiology, UMCG, Groningen, the Netherlands
| | - Henriëtte A. Smit
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | | | - H. Susan J. Picavet
- Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
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47
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Oelsner EC, Smith BM, Hoffman EA, Folsom AR, Kawut SM, Kaufman JD, Manichaikul A, Lederer DJ, Schwartz JE, Watson K, Enright PL, Austin JHM, Lima JAC, Shea SJ, Barr RG. Associations between emphysema-like lung on CT and incident airflow limitation: a general population-based cohort study. Thorax 2018; 73:486-488. [PMID: 29074811 PMCID: PMC5903958 DOI: 10.1136/thoraxjnl-2017-210842] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Revised: 09/20/2017] [Accepted: 10/16/2017] [Indexed: 11/03/2022]
Abstract
Emphysema on CT is associated with accelerated lung function decline in heavy smokers and patients with COPD; however, in the general population, it is not known whether greater emphysema-like lung on CT is associated with incident COPD. We used data from 2045 adult participants without initial prebronchodilator airflow limitation, classified by FEV1/FVC<0.70, in the Multi-Ethnic Study of Atherosclerosis. Emphysema-like lung on baseline cardiac CT, defined as per cent low attenuation areas<-950HU>upper limit of normal, was associated with increased odds of incident airflow limitation at 5-year follow-up on both prebronchodilator (adjusted OR 2.62, 95% CI 1.47 to 4.67) and postbronchodilator (adjusted OR 4.38, 95% CI 1.63 to 11.74) spirometry, independent of smoking history. These results support investigation into whether emphysema-like lung could be informative for COPD risk stratification.
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Affiliation(s)
- Elizabeth C Oelsner
- Columbia University College of Physicians and Surgeons, Department of Medicine, 630 West 168 Street, New York, NY 10032
- Columbia University Mailman School of Public Health, Department of Epidemiology, 722 West 168 Street, New York, New York 10032
| | - Benjamin M Smith
- Columbia University College of Physicians and Surgeons, Department of Medicine, 630 West 168 Street, New York, NY 10032
- McGill University, Respiratory Division, 2155 Guy Street, Suite 500, Montreal, Quebec H3H 2R9, Canada
| | - Eric A Hoffman
- University of Iowa, Department of Radiology, 200 Hawkins Drive, Iowa City, IA, 52242, USA
| | - Aaron R Folsom
- University of Minnesota, Division of Epidemiology and Community Health, 1300 South Second Street, Suite 300, Minneapolis, MN 55454
| | - Steven M Kawut
- University of Pennsylvania School of Medicine, Pulmonary, Allergy, and Critical Care Division, 711 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104
| | - Joel D Kaufman
- University of Washington, Department of Environmental and Occupational Health Sciences, 4225 Roosevelt Way NE, Seattle, WA 98105
| | - Ani Manichaikul
- University of Virginia, Department of Public Health Sciences, Division of Biostatistics and Epidemiology, P.O. Box 800717, Charlottesville, VA 22908, USA
| | - David J Lederer
- Columbia University College of Physicians and Surgeons, Department of Medicine, 630 West 168 Street, New York, NY 10032
| | - Joseph E Schwartz
- Columbia University College of Physicians and Surgeons, Department of Medicine, 630 West 168 Street, New York, NY 10032
| | - Karol Watson
- UCLA School of Medicine, Division of Cardiology, 47-123 CHS, 10833 LeConte Avenue, Los Angeles, CA 90095-1679
| | - Paul L Enright
- University of Arizona, 4460 East Ina Road, Tucson, AZ 85718
| | - John H. M. Austin
- Columbia University College of Physicians and Surgeons, Department of Medicine, 630 West 168 Street, New York, NY 10032
| | - Joao AC Lima
- Johns Hopkins University, Department of Cardiology, 600 North Wolfe Street, Blalock 524, Baltimore, MD 21205
| | - Steven J Shea
- Columbia University College of Physicians and Surgeons, Department of Medicine, 630 West 168 Street, New York, NY 10032
- Columbia University Mailman School of Public Health, Department of Epidemiology, 722 West 168 Street, New York, New York 10032
| | - R Graham Barr
- Columbia University College of Physicians and Surgeons, Department of Medicine, 630 West 168 Street, New York, NY 10032
- Columbia University Mailman School of Public Health, Department of Epidemiology, 722 West 168 Street, New York, New York 10032
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48
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Diaz AA, Martinez CH, Harmouche R, Young TP, McDonald ML, Ross JC, Han ML, Bowler R, Make B, Regan EA, Silverman EK, Crapo J, Boriek AM, Kinney GL, Hokanson JE, Estepar RSJ, Washko GR. Pectoralis muscle area and mortality in smokers without airflow obstruction. Respir Res 2018; 19:62. [PMID: 29636050 PMCID: PMC5894181 DOI: 10.1186/s12931-018-0771-6] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Accepted: 04/04/2018] [Indexed: 12/25/2022] Open
Abstract
Background Low muscle mass is associated with increased mortality in the general population but its prognostic value in at-risk smokers, those without expiratory airflow obstruction, is unknown. We aimed to test the hypothesis that reduced muscle mass is associated with increased mortality in at-risk smokers. Methods Measures of both pectoralis and paravertebral erector spinae muscle cross-sectional area (PMA and PVMA, respectively) as well as emphysema on chest computed tomography (CT) scans were performed in 3705 current and former at-risk smokers (≥10 pack-years) aged 45–80 years enrolled into the COPDGene Study between 2008 and 2013. Vital status was ascertained through death certificate. The association between low muscle mass and mortality was assessed using Cox regression analysis. Results During a median of 6.5 years of follow-up, 212 (5.7%) at-risk smokers died. At-risk smokers in the lowest (vs. highest) sex-specific quartile of PMA but not PVMA had 84% higher risk of death in adjusted models for demographics, smoking, dyspnea, comorbidities, exercise capacity, lung function, emphysema on CT, and coronary artery calcium content (hazard ratio [HR] 1.85 95% Confidence interval [1.14–3.00] P = 0.01). Results were consistent when the PMA index (PMA/height2) was used instead of quartiles. The association between PMA and death was modified by smoking status (P = 0.04). Current smokers had a significantly increased risk of death (lowest vs. highest PMA quartile, HR 2.25 [1.25–4.03] P = 0.007) while former smokers did not. Conclusions Low muscle mass as measured on chest CT scans is associated with increased mortality in current smokers without airflow obstruction. Trial registration NCT00608764 Electronic supplementary material The online version of this article (10.1186/s12931-018-0771-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Alejandro A Diaz
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
| | - Carlos H Martinez
- Division of Pulmonary & Critical Care Medicine, University of Michigan Health System, Ann Arbor, MI, USA
| | - Rola Harmouche
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Thomas P Young
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA
| | - Merry-Lynn McDonald
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - James C Ross
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Mei Lan Han
- Division of Pulmonary & Critical Care Medicine, University of Michigan Health System, Ann Arbor, MI, USA
| | - Russell Bowler
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, National Jewish Health, Denver, CO, USA
| | - Barry Make
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, National Jewish Health, Denver, CO, USA
| | - Elizabeth A Regan
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, National Jewish Health, Denver, CO, USA
| | - Edwin K Silverman
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.,Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - James Crapo
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, National Jewish Health, Denver, CO, USA
| | - Aladin M Boriek
- Division of Pulmonary and Critical Care Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Gregory L Kinney
- Colorado School of Public Health, University of Colorado-Denver, Aurora, CO, USA
| | - John E Hokanson
- Colorado School of Public Health, University of Colorado-Denver, Aurora, CO, USA
| | - Raul San Jose Estepar
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - George R Washko
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA
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Angiotensin-Converting Inhibitors and Angiotensin II Receptor Blockers and Longitudinal Change in Percent Emphysema on Computed Tomography. The Multi-Ethnic Study of Atherosclerosis Lung Study. Ann Am Thorac Soc 2018; 14:649-658. [PMID: 28207279 DOI: 10.1513/annalsats.201604-317oc] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
RATIONALE Although emphysema on computed tomography (CT) is associated with increased morbidity and mortality in patients with and without spirometrically defined chronic obstructive pulmonary disease, no available medications target emphysema outside of alpha-1 antitrypsin deficiency. Transforming growth factor-β and endothelial dysfunction are implicated in emphysema pathogenesis, and angiotensin II receptor blockers (ARBs) inhibit transforming growth factor-β, improve endothelial function, and restore airspace architecture in murine models. Evidence in humans is, however, lacking. OBJECTIVES To determine whether angiotensin-converting enzyme (ACE) inhibitor and ARB dose is associated with slowed progression of percent emphysema by CT. METHODS The Multi-Ethnic Study of Atherosclerosis researchers recruited participants ages 45-84 years from the general population from 2000 to 2002. Medication use was assessed by medication inventory. Percent emphysema was defined as the percentage of lung regions less than -950 Hounsfield units on CTs. Mixed-effects regression models were used to adjust for confounders. RESULTS Among 4,472 participants, 12% used an ACE inhibitor and 6% used an ARB at baseline. The median percent emphysema was 3.0% at baseline, and the rate of progression was 0.64 percentage points over a median of 9.3 years. Higher doses of ACE or ARB were independently associated with a slower change in percent emphysema (P = 0.03). Over 10 years, in contrast to a predicted mean increase in percent emphysema of 0.66 percentage points in those who did not take ARBs or ACE inhibitors, the predicted mean increase in participants who used maximum doses of ARBs or ACE inhibitors was 0.06 percentage points (P = 0.01). The findings were of greatest magnitude among former smokers (P < 0.001). Indications for ACE inhibitor or ARB drugs (hypertension and diabetes) and other medications for hypertension and diabetes were not associated independently with change in percent emphysema. There was no evidence that ACE inhibitor or ARB dose was associated with decline in lung function. CONCLUSIONS In a large population-based study, ACE inhibitors and ARBs were associated with slowed progression of percent emphysema by chest CT, particularly among former smokers. Randomized clinical trials of ACE and ARB agents are warranted for the prevention and treatment of emphysema.
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Classifying Chronic Lower Respiratory Disease Events in Epidemiologic Cohort Studies. Ann Am Thorac Soc 2018; 13:1057-66. [PMID: 27088163 DOI: 10.1513/annalsats.201601-063oc] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
RATIONALE One in 12 adults has chronic obstructive pulmonary disease or asthma. Acute exacerbations of these chronic lower respiratory diseases (CLRDs) are a major cause of morbidity and mortality. Valid approaches to classifying cases and exacerbations in the general population are needed to facilitate prevention research. OBJECTIVES To assess the feasibility, reproducibility, and performance of a protocol to identify CLRD cases and exacerbations triggering emergency department (ED) visits or hospitalizations in cohorts of patients derived from general populations of adults. METHODS A protocol was developed to classify CLRD cases and severe exacerbations on the basis of review of medical records. ED and inpatient medical records were ascertained prospectively in the Hispanic Community Health Study/Study of Latinos, and inpatient records were retrospectively identified by administrative codes in the Multi-Ethnic Study of Atherosclerosis. "Probable" exacerbations were defined as a physician's diagnosis of CLRD with acute respiratory symptoms. "Highly probable" exacerbations additionally required systemic corticosteroid therapy, and "definite" exacerbations required airflow limitation or evidence of CLRD on imaging studies. Adjudicated results were compared with CLRD cases identified by spirometry and self-report, and with an administrative definition of exacerbations. MEASUREMENTS AND MAIN RESULTS Protocol-based classification was completed independently by two physicians for 216 medical records (56 ED visits and 61 hospitalizations in the Hispanic Community Health Study/Study of Latinos; 99 hospitalizations in the Multi-Ethnic Study of Atherosclerosis). Reviewer disagreement occurred in 2-5% of cases and 4-8% of exacerbations. Eighty-nine percent of records were confirmed as at least probable CLRD cases. Fifty-six percent of confirmed CLRD cases had airflow limitation on the basis of baseline study spirometry. Of records that described CLRD as the primary discharge diagnosis code, an acute exacerbation was confirmed as at least probable for 96% and as highly probable or definite for 77%. Only 50% of records with CLRD as a secondary code were confirmed, although such records accounted for over half of all confirmed exacerbations. CONCLUSIONS CLRD cases and severe exacerbations without preceding documentation of airflow limitation are identified frequently in population-based cohorts of persons. A primary discharge diagnosis of CLRD is specific but insensitive for defining exacerbations. Protocol-based classification of medical records may be appropriate to supplement and to validate identification of CLRD cases and exacerbations in general population studies. Clinical trials registered with www.clinicaltrials.gov (NCT00005487 and NCT02060344).
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