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Rodrigues Sousa S, Nunes Caldeira J, Rodrigues C. COPD phenotypes by computed tomography and ventilatory response to exercise. Pulmonology 2024; 30:222-229. [PMID: 35120868 DOI: 10.1016/j.pulmoe.2022.01.002] [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: 10/17/2021] [Revised: 01/06/2022] [Accepted: 01/07/2022] [Indexed: 10/19/2022] Open
Abstract
INTRODUCTION Computed tomographic (CT) phenotypic patterns of chronic obstructive pulmonary disease (COPD) identify different clinical features of disease. The impact of these variables on the physiological response to exercise has been the focus of a great deal of research as it allows more individualized clinical approaches. The aim of our study was to evaluate the relationships between CT phenotyping of subjects with COPD and the ventilatory response during cardiopulmonary exercise testing (CPET). METHODS Subjects with COPD were classified into four phenotypes based on CT metrics of emphysema (low attenuation area less than a threshold of -950 Hounsfield [%LAA-950]) and airwall thickness (bronchial wall area percentage [%WA]). RESULTS Eighty COPD patients (78.8% males, median age 65±11.3 years) were enrolled in the study. Based on CT phenotype, 25 (31.3%) patients were classified as normal, 27 (33.8%) air dominant, 17 (21.3%) emphysema dominant and 11 (13.8%) mixed type. The emphysema and mixed phenotypes showed the highest ventilatory equivalent for carbon dioxide (VE/VCO2) and VE/VCO2 slope (p<0,05). In all phenotypes, %LAA was positive correlated with VE/VCO2 and VE/VCO2 slope (r = 0.437, p = 0.006 and r = 0.503, p<0.001, respectively). %WA also showed a positive correlation with VE/VCO2 and VE/VCO2 slope (r = 0.541, p<0.001 and r = 0.299, p = 0.033, respectively). In multivariate regression models, after adjustment for age, BMI, sex and FEV1, %LAA was the only independent predictor of VE/VCO2 and VE/VCO2 slope (β 0.343, SE 0.147, 95% CI 0.009/0.610, p = 0.044 and β 0.496, SE 0.081, 95% CI 0.130/0.455, p = 0.001, respectively). CONCLUSION Emphysema (%LAA) and airways metrics (%WA) had strong relationships with the different characteristics of ventilatory response to exercise in subjects with mild to moderate COPD. In particular, %LAA seemed to play an important role as an independent predictor of VE/VCO2 and VE/VCO2 slope. These results suggested that CT phenotyping may help predicting ventilatory response to exercise in subjects with COPD.
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Affiliation(s)
- S Rodrigues Sousa
- Pulmonology Department, Coimbra University Hospital, Coimbra, Portugal.
| | - J Nunes Caldeira
- Pulmonology Department, Coimbra University Hospital, Coimbra, Portugal
| | - C Rodrigues
- Pulmonology Department, Coimbra University Hospital, Coimbra, Portugal
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Yehia D, Leung C, Sin DD. Clinical utilization of airway inflammatory biomarkers in the prediction and monitoring of clinical outcomes in patients with chronic obstructive pulmonary disease. Expert Rev Mol Diagn 2024; 24:409-421. [PMID: 38635513 DOI: 10.1080/14737159.2024.2344777] [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: 01/13/2024] [Accepted: 04/15/2024] [Indexed: 04/20/2024]
Abstract
INTRODUCTION Chronic obstructive pulmonary disease (COPD) accounts for 545 million people living with chronic respiratory disorders and is the third leading cause of morbidity and mortality around the world. COPD is a progressive disease, characterized by episodes of acute worsening of symptoms such as cough, dyspnea, and sputum production. AREAS COVERED Airway inflammation is a prominent feature of COPD. Chronic airway inflammation results in airway structural remodeling and emphysema. Persistent airway inflammation is a treatable trait of COPD and plays a significant role in disease development and progression. In this review, the authors summarize the current and emerging biomarkers that reveal the heterogeneity of airway inflammation subtypes, clinical outcomes, and therapeutic response in COPD. EXPERT OPINION Airway inflammation can be broadly categorized as eosinophilic (type 2 inflammation) and non-eosinophilic (non-type 2 inflammation) in COPD. Currently, blood eosinophil counts are incorporated in clinical practice guidelines to identify COPD patients who are at a higher risk of exacerbations and lung function decline, and who are likely to respond to inhaled corticosteroids. As new therapeutics are being developed for the chronic management of COPD, it is essential to identify biomarkers that will predict treatment response.
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Affiliation(s)
- Dina Yehia
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada
| | - Clarus Leung
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada
- Division of Respiratory Medicine, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Don D Sin
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada
- Division of Respiratory Medicine, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
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Bunk SA, Ipema J, Sidorenkov G, Bennink E, Vliegenthart R, de Jong PA, Pompe E, Charbonnier JP, Luijk BH, Aerts J, Groen HJ, Mohamed Hoesein FA. The relationship of fat and muscle measurements with emphysema and bronchial wall thickening in smokers. ERJ Open Res 2024; 10:00749-2023. [PMID: 38444665 PMCID: PMC10910310 DOI: 10.1183/23120541.00749-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 12/17/2023] [Indexed: 03/07/2024] Open
Abstract
Introduction Differences in body composition in patients with COPD may have important prognostic value and may provide opportunities for patient-specific management. We investigated the relation of thoracic fat and muscle with computed tomography (CT)-measured emphysema and bronchial wall thickening. Methods Low-dose baseline chest CT scans from 1031 male lung cancer screening participants from one site were quantified for emphysema, bronchial wall thickening, subcutaneous fat, visceral fat and skeletal muscle. Body composition measurements were performed by segmenting the first slice above the aortic arch using Hounsfield unit thresholds with region growing and manual corrections. COPD presence and severity were evaluated with pre-bronchodilator spirometry testing. Results Participants had a median age of 61.5 years (58.6-65.6, 25th-75th percentile) and median number of 38.0 pack-years (28.0-49.5); 549 (53.2%) were current smokers. Overall, 396 (38.4%) had COPD (256 Global Initiative for Chronic Obstructive Lung Disease (GOLD) 1, 140 GOLD 2-3). Participants with COPD had less subcutaneous fat, visceral fat and skeletal muscle (p<0.001 for all). With increasing GOLD stages, subcutaneous (p=0.005) and visceral fat values (p=0.004) were higher, and skeletal muscle was lower (p=0.004). With increasing severity of CT-derived emphysema, subcutaneous fat, visceral fat and skeletal muscle values were lower (p<0.001 for all). With increasing CT-derived bronchial wall thickness, subcutaneous and visceral fat values were higher (p<0.001 for both), without difference in skeletal muscle. All statistical relationships remained when adjusted for age, pack-years and smoking status. Conclusion COPD presence and emphysema severity are associated with smaller amounts of thoracic fat and muscle, whereas bronchial wall thickening is associated with fat accumulation.
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Affiliation(s)
- Stijn A.O. Bunk
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jetty Ipema
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Grigory Sidorenkov
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, The Netherlands
| | - Edwin Bennink
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Rozemarijn Vliegenthart
- University of Groningen, University Medical Center Groningen, Center for Medical Imaging-North East Netherlands, Groningen, The Netherlands
| | - Pim A. de Jong
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Esther Pompe
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Bart H.D. Luijk
- Department of Pulmonology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Joachim Aerts
- Department of Respiratory Medicine, ErasmusMC, Rotterdam, The Netherlands
| | - Harry J.M. Groen
- Department of Pulmonary Diseases, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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Park J, Kim EK, Lee SH, Kim MA, Kim JH, Lee SM, Lee JS, Oh YM, Lee SD, Lee JH. Phenotyping COPD Patients with Emphysema Distribution Using Quantitative CT Measurement; More Severe Airway Involvement in Lower Dominant Emphysema. Int J Chron Obstruct Pulmon Dis 2022; 17:2013-2025. [PMID: 36072609 PMCID: PMC9441583 DOI: 10.2147/copd.s362906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 07/21/2022] [Indexed: 11/23/2022] Open
Affiliation(s)
- Jisoo Park
- Department of Pulmonology, Allergy and Critical Care Medicine, CHA Bundang Medical Center, CHA University, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Eun-Kyung Kim
- Department of Pulmonology, Allergy and Critical Care Medicine, CHA Bundang Medical Center, CHA University, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Se Hee Lee
- Department of Pulmonology, Allergy and Critical Care Medicine, CHA Bundang Medical Center, CHA University, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Mi-Ae Kim
- Department of Pulmonology, Allergy and Critical Care Medicine, CHA Bundang Medical Center, CHA University, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Jung-Hyun Kim
- Department of Pulmonology, Allergy and Critical Care Medicine, CHA Bundang Medical Center, CHA University, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Sang Min Lee
- Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
- Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Jae Seung Lee
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
- Clinical Research Center for Chronic Obstructive Airway Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Yeon-Mok Oh
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
- Clinical Research Center for Chronic Obstructive Airway Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Sang-Do Lee
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
- Clinical Research Center for Chronic Obstructive Airway Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Ji-Hyun Lee
- Department of Pulmonology, Allergy and Critical Care Medicine, CHA Bundang Medical Center, CHA University, Seongnam-si, Gyeonggi-do, Republic of Korea
- Correspondence: Ji-Hyun Lee, Department of Pulmonology, Allergy and Critical Care Medicine, CHA Bundang Medical Center, CHA University, 59, Yatap-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13496, Republic of Korea, Tel +82-31-780-5205, Fax +82-31-780-2992, Email
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5
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Dudurych I, Muiser S, McVeigh N, Kerstjens HAM, van den Berge M, de Bruijne M, Vliegenthart R. Bronchial wall parameters on CT in healthy never-smoking, smoking, COPD, and asthma populations: a systematic review and meta-analysis. Eur Radiol 2022; 32:5308-5318. [PMID: 35192013 PMCID: PMC9279249 DOI: 10.1007/s00330-022-08600-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 12/14/2021] [Accepted: 01/29/2022] [Indexed: 11/25/2022]
Abstract
Objective Research on computed tomography (CT) bronchial parameter measurements shows that there are conflicting results on the values for bronchial parameters in the never-smoking, smoking, asthma, and chronic obstructive pulmonary disease (COPD) populations. This review assesses the current CT methods for obtaining bronchial wall parameters and their comparison between populations. Methods A systematic review of MEDLINE and Embase was conducted following PRISMA guidelines (last search date 25th October 2021). Methodology data was collected and summarised. Values of percentage wall area (WA%), wall thickness (WT), summary airway measure (Pi10), and luminal area (Ai) were pooled and compared between populations. Results A total of 169 articles were included for methodologic review; 66 of these were included for meta-analysis. Most measurements were obtained from multiplanar reconstructions of segmented airways (93 of 169 articles), using various tools and algorithms; third generation airways in the upper and lower lobes were most frequently studied. COPD (12,746) and smoking (15,092) populations were largest across studies and mostly consisted of men (median 64.4%, IQR 61.5 – 66.1%). There were significant differences between populations; the largest WA% was found in COPD (mean SD 62.93 ± 7.41%, n = 6,045), and the asthma population had the largest Pi10 (4.03 ± 0.27 mm, n = 442). Ai normalised to body surface area (Ai/BSA) (12.46 ± 4 mm2, n = 134) was largest in the never-smoking population. Conclusions Studies on CT-derived bronchial parameter measurements are heterogenous in methodology and population, resulting in challenges to compare outcomes between studies. Significant differences between populations exist for several parameters, most notably in the wall area percentage; however, there is a large overlap in their ranges. Key Points • Diverse methodology in measuring airways contributes to overlap in ranges of bronchial parameters among the never-smoking, smoking, COPD, and asthma populations. • The combined number of never-smoking participants in studies is low, limiting insight into this population and the impact of participant characteristics on bronchial parameters. • Wall area percent of the right upper lobe apical segment is the most studied (87 articles) and differentiates all except smoking vs asthma populations. Supplementary Information The online version contains supplementary material available at 10.1007/s00330-022-08600-1.
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Affiliation(s)
- Ivan Dudurych
- Department of Radiology, EB49, University Medical Centre Groningen, University of Groningen, Hanzeplein 1, 9700RB, Groningen, The Netherlands
| | - Susan Muiser
- Department of Pulmonology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Niall McVeigh
- Department of Cardiothoracic Surgery, St. Vincent's University Hospital, Dublin, Ireland
| | - Huib A M Kerstjens
- Department of Pulmonology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Maarten van den Berge
- Department of Pulmonology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Marleen de Bruijne
- Department of Radiology and Nuclear Medicine, Biomedical Imaging Group Rotterdam, Erasmus MC, Rotterdam, The Netherlands
- Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
| | - Rozemarijn Vliegenthart
- Department of Radiology, EB49, University Medical Centre Groningen, University of Groningen, Hanzeplein 1, 9700RB, Groningen, The Netherlands.
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6
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Klont F, Horvatovich P, Bowler RP, van Rikxoort E, Charbonnier JP, Kwiatkowski M, Lynch DA, Humphries S, Bischoff R, Ten Hacken NHT, Pouwels SD. Plasma sRAGE levels strongly associate with centrilobular emphysema assessed by HRCT scans. Respir Res 2022; 23:15. [PMID: 35073932 PMCID: PMC8785488 DOI: 10.1186/s12931-022-01934-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 01/18/2022] [Indexed: 01/01/2023] Open
Abstract
Background There is a strong need for biomarkers to better characterize individuals with COPD and to take into account the heterogeneity of COPD. The blood protein sRAGE has been put forward as promising biomarker for COPD in general and emphysema in particular. Here, we measured plasma sRAGE levels using quantitative LC–MS and assessed whether the plasma sRAGE levels associate with (changes in) lung function, radiological emphysema parameters, and radiological subtypes of emphysema. Methods Three hundred and twenty-four COPD patients (mean FEV1: 63%predicted) and 185 healthy controls from the COPDGene study were selected. Plasma sRAGE was measured by immunoprecipitation in 96-well plate methodology to enrich sRAGE, followed by targeted quantitative liquid chromatography-mass spectrometry. Spirometry and HRCT scans (inspiration and expiration) with a 5-year follow-up were used; both subjected to high quality control standards. Results Lower sRAGE values significantly associated with the presence of COPD, the severity of airflow obstruction, the severity of emphysema on HRCT, the heterogeneous distribution of emphysema, centrilobular emphysema, and 5-year progression of emphysema. However, sRAGE values did not associate with airway wall thickness or paraseptal emphysema. Conclusions Rather than being a general COPD biomarker, sRAGE is especially a promising biomarker for centrilobular emphysema. Follow-up studies should elucidate whether sRAGE can be used as a biomarker for other COPD phenotypes as well.
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Affiliation(s)
- Frank Klont
- Department of Analytical Biochemistry, Groningen Research Institute of Pharmacy, University of Groningen, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands.,Groningen Research Institute for Asthma and COPD (GRIAC), University Medical Center Groningen, Groningen, The Netherlands
| | - Peter Horvatovich
- Department of Analytical Biochemistry, Groningen Research Institute of Pharmacy, University of Groningen, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands.,Groningen Research Institute for Asthma and COPD (GRIAC), University Medical Center Groningen, Groningen, The Netherlands
| | | | - Eva van Rikxoort
- Thirona, Nijmegen, The Netherlands.,Diagnostic Image Analysis Group, Department of Radiology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | | | - Marcel Kwiatkowski
- Department of Analytical Biochemistry, Groningen Research Institute of Pharmacy, University of Groningen, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands.,Groningen Research Institute for Asthma and COPD (GRIAC), University Medical Center Groningen, Groningen, The Netherlands
| | - David A Lynch
- Department of Radiology, National Jewish Health, 1400 Jackson St, Denver, CO, 80206, USA
| | - Stephen Humphries
- Department of Radiology, National Jewish Health, 1400 Jackson St, Denver, CO, 80206, USA
| | - Rainer Bischoff
- Department of Analytical Biochemistry, Groningen Research Institute of Pharmacy, University of Groningen, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands.,Groningen Research Institute for Asthma and COPD (GRIAC), University Medical Center Groningen, Groningen, The Netherlands
| | - Nick H T Ten Hacken
- Groningen Research Institute for Asthma and COPD (GRIAC), University Medical Center Groningen, Groningen, The Netherlands.,Department of Pulmonary Diseases, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Simon D Pouwels
- Department of Analytical Biochemistry, Groningen Research Institute of Pharmacy, University of Groningen, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands. .,Groningen Research Institute for Asthma and COPD (GRIAC), University Medical Center Groningen, Groningen, The Netherlands. .,Department of Pulmonary Diseases, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands. .,Department of Pathology and Medical Biology, University Medical Center Groningen, Groningen, The Netherlands.
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Pompe E, Moore CM, Mohamed Hoesein FA, de Jong PA, Charbonnier JP, Han MK, Humphries SM, Hatt CR, Galbán CJ, Silverman EK, Crapo JD, Washko GR, Regan EA, Make B, Strand M, Lammers JWJ, van Rikxoort EM, Lynch DA. Progression of Emphysema and Small Airways Disease in Cigarette Smokers. CHRONIC OBSTRUCTIVE PULMONARY DISEASES (MIAMI, FLA.) 2021; 8:198-212. [PMID: 33290645 PMCID: PMC8237975 DOI: 10.15326/jcopdf.2020.0140] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 11/19/2020] [Indexed: 11/21/2022]
Abstract
BACKGROUND Little is known about factors associated with emphysema progression in cigarette smokers. We evaluated factors associated with change in emphysema and forced expiratory volume in 1 second (FEV1) in participants with and without chronic obstructive pulmonary disease (COPD). METHODS This retrospective study included individuals participating in the COPD Genetic Epidemiology study who completed the 5-year follow-up, including inspiratory and expiratory computed tomography (CT) and spirometry. All paired CT scans were analyzed using micro-mapping, which classifies individual voxels as emphysema or functional small airway disease (fSAD). Presence and progression of emphysema and FEV1 were determined based on comparison to nonsmoker values. Logistic regression analyses were used to identify clinical parameters associated with disease progression. RESULTS A total of 3088 participants were included with a mean ± SD age of 60.7±8.9 years, including 72 nonsmokers. In all Global initiative for chronic Obstructive Lung Disease (GOLD) stages, the presence of emphysema at baseline was associated with emphysema progression (odds ratio [OR]: GOLD 0: 4.32; preserved ratio-impaired spirometry [PRISm]; 5.73; GOLD 1: 5.16; GOLD 2: 5.69; GOLD 3/4: 5.55; all p ≤0.01). If there was no emphysema at baseline, the amount of fSAD at baseline was associated with emphysema progression (OR for 1% increase: GOLD 0: 1.06; PRISm: 1.20; GOLD 1: 1.7; GOLD 3/4: 1.08; all p ≤ 0.03).In 1735 participants without spirometric COPD, progression in emphysema occurred in 105 (6.1%) participants and only 21 (1.2%) had progression in both emphysema and FEV1. CONCLUSIONS The presence of emphysema is an important predictor of emphysema progression. In patients without emphysema, fSAD is associated with the development of emphysema. In participants without spirometric COPD, emphysema progression occurred independently of FEV1 decline.
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Affiliation(s)
- Esther Pompe
- Imaging Department, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Camille M. Moore
- Division of Biostatistics, Environment and Health, National Jewish Health, Denver, Colorado, United States
| | | | - Pim A. de Jong
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jean-Paul Charbonnier
- Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, the Netherlands
| | - MeiLan K. Han
- Division of Pulmonary and Critical Care, University of Michigan Health System, Ann Arbor, Michigan, United States
| | - Steven M. Humphries
- Department of Radiology, National Jewish Health, Denver, Colorado, United States
| | | | - Craig J. Galbán
- Department of Radiology, University of Michigan, Ann Arbor, Michigan, United States
- Center for Molecular Imaging, University of Michigan, Ann Arbor, Michigan, United States
| | - Ed K. Silverman
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States
| | - James D. Crapo
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, National Jewish Health, Denver, Colorado, United States
| | - George R. Washko
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States
| | - Elisabeth A. Regan
- Division of Rheumatology, Department of Medicine, National Jewish Health, Denver, Colorado, United States
| | - Barry Make
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, National Jewish Health, Denver, Colorado, United States
| | - Matthew Strand
- Division of Biostatistics, Environment and Health, National Jewish Health, Denver, Colorado, United States
| | | | - Eva M. van Rikxoort
- Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, the Netherlands
| | - David A. Lynch
- Department of Radiology, National Jewish Health, Denver, Colorado, United States
| | - on behalf of the COPDGene® investigators
- Imaging Department, University Medical Center Utrecht, Utrecht, the Netherlands
- Division of Biostatistics, Environment and Health, National Jewish Health, Denver, Colorado, United States
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
- Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, the Netherlands
- Division of Pulmonary and Critical Care, University of Michigan Health System, Ann Arbor, Michigan, United States
- Department of Radiology, National Jewish Health, Denver, Colorado, United States
- Imbio LLC, Minneapolis, Minnesota, United States
- Department of Radiology, University of Michigan, Ann Arbor, Michigan, United States
- Center for Molecular Imaging, University of Michigan, Ann Arbor, Michigan, United States
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, National Jewish Health, Denver, Colorado, United States
- Division of Rheumatology, Department of Medicine, National Jewish Health, Denver, Colorado, United States
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Li R, Qi Y, Han M, Geng B, Wang G, Han M. Computed tomography reveals microenvironment changes in premetastatic lung. Eur Radiol 2020; 31:4340-4349. [PMID: 33219849 DOI: 10.1007/s00330-020-07500-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Revised: 10/03/2020] [Accepted: 11/11/2020] [Indexed: 11/28/2022]
Abstract
OBJECTIVES Microenvironment changes had occurred in the metastatic organs before the arriving of the metastatic tumor cells. In this study, we evaluated the effectiveness of computed tomography (CT) images in quantifying the microenvironment changes in the premetastatic lung under both laboratory and clinical conditions. METHOD Free-breathing Balb/c mice underwent micro-CT repeatedly after the implantation of 4T1 breast tumor. CT-derived indicators (aerated lung volume, lung tissue volume, total lung volume, mean lung density, and the ratio of aerated lung volume to the total lung volume) were quantified. Hematoxylin-eosin staining was used to display the microenvironment changes in premetastatic lung. Moreover, we examined healthy adult women, adult women with histopathologically confirmed primary breast cancer, and adult women with histopathologically confirmed primary breast cancer and lung metastases in our institution to test whether the indicators derived from lung CT images changed with the growth of breast cancer. RESULTS In 4T1 tumor-bearing mice, lung density is increased before lung masses can be recognized on CT images and is correlated with the severity of inflammation in the lung microenvironment. In primary breast tumor-bearing patients, lung density is also increased before the clinical diagnosis of pulmonary metastasis and is correlated with disease score, which represents tumor progression. CONCLUSIONS CT is a reliable and quantitative tool that yields dynamic information on metastatic processes. Microenvironmental changes had occurred in patients' lung tissue before the clinical diagnosis of pulmonary metastasis. Our research will provide new insight for clinical research on the premetastatic niche. KEY POINTS • CT, which provides dynamic information on metastatic processes, is a reliable and quantitative tool to bridge laboratory and clinical studies of the premetastatic niche. • We confirmed that microenvironmental changes occurred in patients' lung tissue before clinicians could diagnose pulmonary metastasis. • Our results provide evidence for the study of the premetastatic niche by analyzing information obtained from CT images.
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Affiliation(s)
- Ranran Li
- Cancer Therapy and Research Center, Shandong Provincial Hospital affiliated to Shandong University, Shandong University, 324 Jingwuweiqi Road, Jinan, 250021, People's Republic of China
| | - Yana Qi
- Cancer Therapy and Research Center, Shandong Provincial Hospital affiliated to Shandong University, Shandong University, 324 Jingwuweiqi Road, Jinan, 250021, People's Republic of China
| | - Meng Han
- School of Basic Medical Sciences, Shandong First Medical University, Jinan, People's Republic of China
| | - Baocheng Geng
- Cancer Therapy and Research Center, Shandong Provincial Hospital affiliated to Shandong University, Shandong University, 324 Jingwuweiqi Road, Jinan, 250021, People's Republic of China
| | - Guangyu Wang
- Cancer Therapy and Research Center, Shandong Provincial Hospital affiliated to Shandong University, Shandong University, 324 Jingwuweiqi Road, Jinan, 250021, People's Republic of China
| | - Mingyong Han
- Cancer Therapy and Research Center, Shandong Provincial Hospital affiliated to Shandong University, Shandong University, 324 Jingwuweiqi Road, Jinan, 250021, People's Republic of China.
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Chiu HY, Hsiao YH, Su KC, Lee YC, Ko HK, Perng DW. Small Airway Dysfunction by Impulse Oscillometry in Symptomatic Patients with Preserved Pulmonary Function. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY-IN PRACTICE 2019; 8:229-235.e3. [PMID: 31299351 DOI: 10.1016/j.jaip.2019.06.035] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Revised: 05/13/2019] [Accepted: 06/18/2019] [Indexed: 01/18/2023]
Abstract
BACKGROUND Asthma and chronic obstructive pulmonary disease are characterized by persistent airway inflammation and airflow limitation. Early detection of these diseases in patients with respiratory symptoms and preserved pulmonary function (PPF) defined by spirometry is difficult. Impulse oscillometry (IOS) may have better sensitivity than effort-dependent forced expiratory flow between 25% and 75% (FEF25%-75%) to detect small airway dysfunction (SAD). OBJECTIVE To identify SAD in patients with respiratory symptoms and PPF using IOS. METHODS Medical records of symptomatic patients without acute or known structural lung diseases were evaluated. Patients had bronchodilator testing and IOS in the outpatient clinic between March 1 and July 31, 2017. Correlations between respiratory symptoms, spirometry, and IOS parameters were determined. RESULTS Among 349 patients enrolled to the study, 255 (73.1%) patients met the criteria of PPF. The IOS parameters-difference in resistance at 5 Hz and resistance at 20 Hz , reactance at 5 Hz, resonant frequency (Fres), and area under reactance curve between 5 Hz and resonant frequency-were significantly correlated with FEF25%-75%. The cutoffs for SAD were difference in resistance at 5 Hz and resistance at 20 Hz greater than 0.07 kPa/(L/s), reactance at 5 Hz less than -0.12 kPa/(L/s), Fres greater than 14.14 Hz, and area under reactance curve between 5 Hz and resonant frequency greater than 0.44 kPa/L. Of the IOS parameters, Fres and reactance at 5 Hz had the highest sensitivity and specificity. When compared with FEF25%-75%, Fres had greater sensitivity to detect SAD in patients with PPF. Patients with IOS-defined SAD had a significantly higher incidence of wheeze or sputum production than did those defined by FEF25%-75%. CONCLUSIONS Patients with respiratory symptoms and PPF may have SAD, which can be identified with the aid of IOS in addition to spirometry.
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Affiliation(s)
- Hwa-Yen Chiu
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Yi-Han Hsiao
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Physiology, School of Medicine, National Yang-Ming University, Taipei, Taiwan; Faculty of Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Kang-Cheng Su
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Physiology, School of Medicine, National Yang-Ming University, Taipei, Taiwan; Faculty of Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Yu-Chin Lee
- Faculty of Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan; Sijhih Cathay General Hospital, New Taipei City, Taiwan
| | - Hsin-Kuo Ko
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Physiology, School of Medicine, National Yang-Ming University, Taipei, Taiwan; Faculty of Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan.
| | - Diahn-Warng Perng
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Faculty of Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan.
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Karayama M, Inui N, Yasui H, Kono M, Hozumi H, Suzuki Y, Furuhashi K, Hashimoto D, Enomoto N, Fujisawa T, Nakamura Y, Watanabe H, Suda T. Clinical features of three-dimensional computed tomography-based radiologic phenotypes of chronic obstructive pulmonary disease. Int J Chron Obstruct Pulmon Dis 2019; 14:1333-1342. [PMID: 31296985 PMCID: PMC6598936 DOI: 10.2147/copd.s207267] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 05/30/2019] [Indexed: 12/24/2022] Open
Abstract
Purpose The diagnosis and severity of chronic obstructive pulmonary disease (COPD) are defined by airflow limitation using spirometry. However, COPD has diverse clinical features, and several phenotypes based on non-spirometric data have been investigated. To identify novel phenotypes of COPD using radiologic data obtained by three-dimensional computed tomography (3D-CT). Patients and methods The inner luminal area and wall thickness of third- to sixth-generation bronchi and the percentage of the low-attenuation area (less than −950 HU) of the lungs were measured using 3D-CT in patients with COPD. Using the radiologic data, hierarchical clustering was performed. Respiratory reactance and resistance were measured to evaluate functional differences among the clusters. Results Four clusters were identified among 167 patients with COPD: Cluster I, mild emphysema with severe airway changes, severe airflow limitation, and high exacerbation risk; Cluster II, mild emphysema with moderate airway changes, mild airflow limitation, and mild dyspnea; Cluster III, severe emphysema with moderate airway changes, severe airflow limitation, and increased dyspnea; and Cluster IV, moderate emphysema with mild airway changes, mild airflow limitation, low exacerbation risk, and mild dyspnea. Cluster I had the highest respiratory resistance among the four clusters. Clusters I and III had higher respiratory reactance than Clusters II and IV. Conclusions The 3D-CT-based radiologic phenotypes were associated with the clinical features of COPD. Measurement of respiratory resistance and reactance may help to identify phenotypic differences.
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Affiliation(s)
- Masato Karayama
- Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
| | - Naoki Inui
- Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan.,Department of Clinical Pharmacology and Therapeutics, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
| | - Hideki Yasui
- Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
| | - Masato Kono
- Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
| | - Hironao Hozumi
- Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
| | - Yuzo Suzuki
- Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
| | - Kazuki Furuhashi
- Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
| | - Dai Hashimoto
- Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
| | - Noriyuki Enomoto
- Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
| | - Tomoyuki Fujisawa
- Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
| | - Yutaro Nakamura
- Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
| | - Hiroshi Watanabe
- Department of Clinical Pharmacology and Therapeutics, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
| | - Takafumi Suda
- Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
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MacNee W. Computed tomography-derived pathological phenotypes in COPD. Eur Respir J 2018; 48:10-3. [PMID: 27365503 DOI: 10.1183/13993003.00958-2016] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2016] [Accepted: 05/16/2016] [Indexed: 11/05/2022]
Affiliation(s)
- William MacNee
- University of Edinburgh/MRC Centre for Inflammation Research, Queen's Medical Research Institute, Edinburgh, UK
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12
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de Jong PA, Mohamed Hoesein F. Precision medicine in COPD: Are we making it too difficult? Respirology 2018; 22:211-212. [PMID: 28102973 DOI: 10.1111/resp.12974] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2016] [Accepted: 11/29/2016] [Indexed: 01/15/2023]
Affiliation(s)
- Pim A de Jong
- Department of Radiology and Nuclear Medicine, Division of Imaging, University Medical Center Utrecht, The Netherlands
| | - Firdaus Mohamed Hoesein
- Department of Radiology and Nuclear Medicine, Division of Imaging, University Medical Center Utrecht, The Netherlands
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Crossley D, Turner A, Subramanian D. Phenotyping emphysema and airways disease: Clinical value of quantitative radiological techniques. World J Respirol 2017; 7:1-16. [DOI: 10.5320/wjr.v7.i1.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Revised: 11/23/2016] [Accepted: 01/14/2017] [Indexed: 02/06/2023] Open
Abstract
The pathophysiology of chronic obstructive pulmonary disease (COPD) and Alpha one antitrypsin deficiency is increasingly recognised as complex such that lung function alone is insufficient for early detection, clinical categorisation and dictating management. Quantitative imaging techniques can detect disease earlier and more accurately, and provide an objective tool to help phenotype patients into predominant airways disease or emphysema. Computed tomography provides detailed information relating to structural and anatomical changes seen in COPD, and magnetic resonance imaging/nuclear imaging gives functional and regional information with regards to ventilation and perfusion. It is likely imaging will become part of routine clinical practice, and an understanding of the implications of the data is essential. This review discusses technical and clinical aspects of quantitative imaging in obstructive airways disease.
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Tan WC, Hague CJ, Leipsic J, Bourbeau J, Zheng L, Li PZ, Sin DD, Coxson HO, Kirby M, Hogg JC, Raju R, Road J, O’Donnell DE, Maltais F, Hernandez P, Cowie R, Chapman KR, Marciniuk DD, FitzGerald JM, Aaron SD. Findings on Thoracic Computed Tomography Scans and Respiratory Outcomes in Persons with and without Chronic Obstructive Pulmonary Disease: A Population-Based Cohort Study. PLoS One 2016; 11:e0166745. [PMID: 27861566 PMCID: PMC5115801 DOI: 10.1371/journal.pone.0166745] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2016] [Accepted: 11/02/2016] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND Thoracic computed tomography (CT) scans are widely performed in clinical practice, often leading to detection of airway or parenchymal abnormalities in asymptomatic or minimally symptomatic individuals. However, clinical relevance of CT abnormalities is uncertain in the general population. METHODS We evaluated data from 1361 participants aged ≥40 years from a Canadian prospective cohort comprising 408 healthy never-smokers, 502 healthy ever-smokers, and 451 individuals with spirometric evidence of chronic obstructive pulmonary disease (COPD) who had thoracic CT scans. CT images of subjects were visually scored for respiratory bronchiolitis(RB), emphysema(E), bronchial-wall thickening(BWT), expiratory air-trapping(AT), and bronchiectasis(B). Multivariable logistic regression models were used to assess associations of CT features with respiratory symptoms, dyspnea, health status as determined by COPD assessment test, and risk of clinically significant exacerbations during 12 months follow-up. RESULTS About 11% of life-time never-smokers demonstrated emphysema on CT scans. Prevalence increased to 30% among smokers with normal lung function and 36%, 50%, and 57% among individuals with mild, moderate or severe/very severe COPD, respectively. Presence of emphysema on CT was associated with chronic cough (OR,2.11; 95%CI,1.4-3.18); chronic phlegm production (OR,1.87; 95% CI,1.27-2.76); wheeze (OR,1.61; 95% CI,1.05-2.48); dyspnoea (OR,2.90; 95% CI,1.41-5.98); CAT score≥10(OR,2.17; 95%CI,1.42-3.30) and risk of ≥2 exacerbations over 12 months (OR,2.17; 95% CI, 1.42-3.0). CONCLUSIONS Burden of thoracic CT abnormalities is high among Canadians ≥40 years of age, including never-smokers and smokers with normal lung function. Detection of emphysema on CT scans is associated with pulmonary symptoms and increased risk of exacerbations, independent of smoking or lung function.
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Affiliation(s)
- Wan C. Tan
- Center for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada
| | - Cameron J. Hague
- Department of Radiology, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada
| | - Jonathon Leipsic
- Department of Radiology, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada
| | - Jean Bourbeau
- Respiratory Epidemiology and Clinical Research Unit, Montreal Chest Institute, McGill University, Montréal, QC, Canada
| | - Liyun Zheng
- Center for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada
| | - Pei Z. Li
- Respiratory Epidemiology and Clinical Research Unit, Montreal Chest Institute, McGill University, Montréal, QC, Canada
| | - Don D. Sin
- Center for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada
| | - Harvey O. Coxson
- Center for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada
| | - Miranda Kirby
- Center for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada
| | - James C. Hogg
- Center for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada
| | - Rekha Raju
- Department of Radiology, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada
| | - Jeremy Road
- University of British Columbia, Vancouver General Hospital, Institute for Heart and Lung Health, Vancouver, BC, Canada
| | - Denis E. O’Donnell
- Division of Respiratory & Critical Care Medicine, Queen’s University, Kingston, ON, Canada
| | - Francois Maltais
- Hospital Laval, Centre de Pneumologie, Institute Universitaire de Cardiologie et de Pneumologie de Quebec, Universite Laval, Quebec, QC, Canada
| | - Paul Hernandez
- Division of Respirology, QEII Health Sciences Centre, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Robert Cowie
- Departments of Medicine and Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | | | - Darcy D. Marciniuk
- Division of Respirology, Critical Care and Sleep Medicine, and Airway research Group, University of Saskatchewan, Saskatoon, SK, Canada
| | - J. Mark FitzGerald
- University of British Columbia, Vancouver General Hospital, Institute for Heart and Lung Health, Vancouver, BC, Canada
| | - Shawn D. Aaron
- Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada
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16
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Pompe E, de Jong PA, van Rikxoort EM, Gallardo Estrella L, de Jong WU, Vliegenthart R, Oudkerk M, van der Aalst CM, van Ginneken B, Lammers JWJ, Mohamed Hoesein FA. Smokers with emphysema and small airway disease on computed tomography have lower bone density. Int J Chron Obstruct Pulmon Dis 2016; 11:1207-16. [PMID: 27354779 PMCID: PMC4907479 DOI: 10.2147/copd.s103680] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Osteoporosis is more common in patients with COPD and in smokers. The aim of this study was to assess whether measures of emphysema and airway disease on computed tomography (CT) were associated with lower bone density or vertebral fractures in smokers with and without COPD. For this purpose, we included participants from the NELSON lung cancer screening trial. Bone density was measured as Hounsfield Units in the first lumbar vertebra, and vertebral fractures were assessed semiquantitatively. The 15th percentile method (Perc15) was used to assess emphysema, and the airway lumen perimeter (Pi10) was used for airway wall thickness. Expiratory/inspiratory-ratiomean lung density (E/I-ratioMLD) was used as a measure for air trapping and tracheal index to assess tracheal deformity. Linear regression models and logistic regression models were used to assess associations between CT biomarkers, bone density, and presence of fractures. Exactly 1,093 male participants were eligible for analysis. Lower Perc15 and higher E/I-ratioMLD were significantly associated with lower bone density (b=−1.27, P=0.02 and b=−0.37, P=0.02, respectively). Pi10 and tracheal index were not associated with bone density changes. CT-derived biomarkers were not associated with fracture prevalence. Bone density is lower with increasing extent of emphysema and small airway disease but is not associated with large airway disease and tracheal deformity. This may indicate the necessity to measure bone density early in smokers with emphysema and air trapping to prevent vertebral fractures.
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Affiliation(s)
- Esther Pompe
- Department of Pulmonology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Pim A de Jong
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Eva M van Rikxoort
- Department of Radiology, Radboud University Medical Center, Nijmegen, the Netherlands
| | | | - Werner U de Jong
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Rozemarijn Vliegenthart
- Center for Medical Imaging-North East Netherlands, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands; Department of Radiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Matthijs Oudkerk
- Department of Radiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | | | - Bram van Ginneken
- Department of Radiology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Jan-Willem J Lammers
- Department of Pulmonology, University Medical Center Utrecht, Utrecht, the Netherlands
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17
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Coste F, Dournes G, Dromer C, Blanchard E, Freund-Michel V, Girodet PO, Montaudon M, Baldacci F, Picard F, Marthan R, Berger P, Laurent F. CT evaluation of small pulmonary vessels area in patients with COPD with severe pulmonary hypertension. Thorax 2016; 71:830-7. [DOI: 10.1136/thoraxjnl-2015-207696] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2015] [Accepted: 03/15/2016] [Indexed: 02/02/2023]
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da Silva SMD, Paschoal IA, De Capitani EM, Moreira MM, Palhares LC, Pereira MC. COPD phenotypes on computed tomography and its correlation with selected lung function variables in severe patients. Int J Chron Obstruct Pulmon Dis 2016; 11:503-13. [PMID: 27042039 PMCID: PMC4801153 DOI: 10.2147/copd.s90638] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Background Computed tomography (CT) phenotypic characterization helps in understanding the clinical diversity of chronic obstructive pulmonary disease (COPD) patients, but its clinical relevance and its relationship with functional features are not clarified. Volumetric capnography (VC) uses the principle of gas washout and analyzes the pattern of CO2 elimination as a function of expired volume. The main variables analyzed were end-tidal concentration of carbon dioxide (ETCO2), Slope of phase 2 (Slp2), and Slope of phase 3 (Slp3) of capnogram, the curve which represents the total amount of CO2 eliminated by the lungs during each breath. Objective To investigate, in a group of patients with severe COPD, if the phenotypic analysis by CT could identify different subsets of patients, and if there was an association of CT findings and functional variables. Subjects and methods Sixty-five patients with COPD Gold III–IV were admitted for clinical evaluation, high-resolution CT, and functional evaluation (spirometry, 6-minute walk test [6MWT], and VC). The presence and profusion of tomography findings were evaluated, and later, the patients were identified as having emphysema (EMP) or airway disease (AWD) phenotype. EMP and AWD groups were compared; tomography findings scores were evaluated versus spirometric, 6MWT, and VC variables. Results Bronchiectasis was found in 33.8% and peribronchial thickening in 69.2% of the 65 patients. Structural findings of airways had no significant correlation with spirometric variables. Air trapping and EMP were strongly correlated with VC variables, but in opposite directions. There was some overlap between the EMP and AWD groups, but EMP patients had signicantly lower body mass index, worse obstruction, and shorter walked distance on 6MWT. Concerning VC, EMP patients had signicantly lower ETCO2, Slp2 and Slp3. Increases in Slp3 characterize heterogeneous involvement of the distal air spaces, as in AWD. Conclusion Visual assessment and phenotyping of CT in COPD patients is feasible and may help identify functional and clinically different subsets of patients. VC may provide useful information about the heterogeneous involvement of lung structures in COPD.
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Affiliation(s)
- Silvia Maria Doria da Silva
- Pneumology Service, Department of Internal Medicine, School of Medical Sciences, State University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - Ilma Aparecida Paschoal
- Pneumology Service, Department of Internal Medicine, School of Medical Sciences, State University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - Eduardo Mello De Capitani
- Pneumology Service, Department of Internal Medicine, School of Medical Sciences, State University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - Marcos Mello Moreira
- Pneumology Service, Department of Internal Medicine, School of Medical Sciences, State University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - Luciana Campanatti Palhares
- Pneumology Service, Department of Internal Medicine, School of Medical Sciences, State University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - Mônica Corso Pereira
- Pneumology Service, Department of Internal Medicine, School of Medical Sciences, State University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
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Fragoso E, André S, Boleo-Tomé JP, Areias V, Munhá J, Cardoso J. Understanding COPD: A vision on phenotypes, comorbidities and treatment approach. REVISTA PORTUGUESA DE PNEUMOLOGIA 2016; 22:101-11. [PMID: 26827246 DOI: 10.1016/j.rppnen.2015.12.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2015] [Revised: 11/27/2015] [Accepted: 12/02/2015] [Indexed: 01/31/2023] Open
Abstract
Chronic Obstructive Pulmonary Disease (COPD) phenotypes have become increasingly recognized as important for grouping patients with similar presentation and/or behavior, within the heterogeneity of the disease. The primary aim of identifying phenotypes is to provide patients with the best health care possible, tailoring the therapeutic approach to each patient. However, the identification of specific phenotypes has been hindered by several factors such as which specific attributes are relevant, which discriminant features should be used for assigning patients to specific phenotypes, and how relevant are they to the therapeutic approach, prognostic and clinical outcome. Moreover, the definition of phenotype is still not consensual. Comorbidities, risk factors, modifiable risk factors and disease severity, although not phenotypes, have impact across all COPD phenotypes. Although there are some identified phenotypes that are fairly consensual, many others have been proposed, but currently lack validation. The on-going debate about which instruments and tests should be used in the identification and definition of phenotypes has contributed to this uncertainty. In this paper, the authors review present knowledge regarding COPD phenotyping, discuss the role of phenotypes and comorbidities on the severity of COPD, propose new phenotypes and suggest a phenotype-based pharmacological therapeutic approach. The authors conclude that a patient-tailored treatment approach, which takes into account each patient's specific attributes and specificities, should be pursued.
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Affiliation(s)
- E Fragoso
- Pulmonology Department, Hospital de Santa Maria, Centro Hospitalar Lisboa Norte, EPE (CHLN), Lisbon, Portugal.
| | - S André
- Pulmonology Department, Hospital Egas Moniz, Centro Hospitalar de Lisboa Ocidental, EPE(CHLO), Lisbon, Portugal.
| | - J P Boleo-Tomé
- Pulmonology Department, Hospital Prof. Doutor Fernando da Fonseca, EPE, Amadora, Portugal.
| | - V Areias
- Pulmonology Department, Hospital de Faro, Centro Hospitalar do Algarve, EPE, Faro, Portugal; Department of Biomedical Sciences and Medicine, Algarve University, Portugal.
| | - J Munhá
- Pulmonology Department, Centro Hospitalar do Barlavento Algarvio, EPE, Portimão, Portugal.
| | - J Cardoso
- Pulmonology Department, Hospital de Santa Marta, Centro Hospitalar de Lisboa Central, EPE (CHLC), Lisbon, Portugal; Nova Medical School, Nova University, Lisbon, Portugal.
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Pike D, Kirby M, Eddy RL, Guo F, Capaldi DPI, Ouriadov A, McCormack DG, Parraga G. Regional Heterogeneity of Chronic Obstructive Pulmonary Disease Phenotypes: Pulmonary (3)He Magnetic Resonance Imaging and Computed Tomography. COPD 2016; 13:601-9. [PMID: 26788765 DOI: 10.3109/15412555.2015.1123682] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Pulmonary ventilation may be visualized and measured using hyperpolarized (3)He magnetic resonance imaging (MRI) while emphysema and its distribution can be quantified using thoracic computed tomography (CT). Our objective was to phenotype ex-smokers with COPD based on the apical-to-basal distribution of ventilation abnormalities and emphysema to better understand how these phenotypes change regionally as COPD progresses. We evaluated 100 COPD ex-smokers who provided written informed consent and underwent spirometry, CT and (3)He MRI. (3)He MRI ventilation imaging was used to quantify the ventilation defect percent (VDP) for whole-lung and individual lung lobes. Regional VDP was used to generate the apical-lung (AL)-to-basal-lung (BL) difference (ΔVDP); a positive ΔVDP indicated AL-predominant and negative ΔVDP indicated BL-predominant ventilation defects. Emphysema was quantified using the relative-area-of-the-lung ≤-950HU (RA950) of the CT density histogram for whole-lung and individual lung lobes. The AL-to-BL RA950 difference (ΔRA950) was generated with a positive ΔRA950 indicating AL-predominant emphysema and a negative ΔRA950 indicating BL-predominant emphysema. Seventy-two ex-smokers reported BL-predominant MRI ventilation defects and 71 reported AL-predominant CT emphysema. BL-predominant ventilation defects (AL/BL: GOLD I = 18%/82%, GOLD II = 24%/76%) and AL-predominant emphysema (AL/BL: GOLD I = 84%/16%, GOLD II = 72%/28%) were the major phenotypes in mild-moderate COPD. In severe COPD there was a more uniform distribution for ventilation defects (AL/BL: GOLD III = 40%/60%, GOLD IV = 43%/57%) and emphysema (AL/BL: GOLD III = 64%/36%, GOLD IV = 43%/57%). Basal-lung ventilation defects predominated in mild-moderate GOLD grades, and a more homogeneous distribution of ventilation defects was observed in more advanced grade COPD; these differences suggest that over time, regional ventilation abnormalities become more homogenously distributed during disease progression.
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Affiliation(s)
- Damien Pike
- a Robarts Research Institute, The University of Western Ontario , London , Canada.,b Department of Medical Biophysics , The University of Western Ontario , London , Canada
| | - Miranda Kirby
- c James Hogg Research Centre, St. Paul's Hospital, University of British Columbia , Vancouver , Canada
| | - Rachel L Eddy
- a Robarts Research Institute, The University of Western Ontario , London , Canada.,b Department of Medical Biophysics , The University of Western Ontario , London , Canada
| | - Fumin Guo
- a Robarts Research Institute, The University of Western Ontario , London , Canada.,d Graduate Program in Biomedical Engineering, The University of Western Ontario , London , Canada
| | - Dante P I Capaldi
- a Robarts Research Institute, The University of Western Ontario , London , Canada.,b Department of Medical Biophysics , The University of Western Ontario , London , Canada
| | - Alexei Ouriadov
- a Robarts Research Institute, The University of Western Ontario , London , Canada
| | - David G McCormack
- e Division of Respirology, Department of Medicine , The University of Western Ontario , London , Canada
| | - Grace Parraga
- a Robarts Research Institute, The University of Western Ontario , London , Canada.,b Department of Medical Biophysics , The University of Western Ontario , London , Canada.,d Graduate Program in Biomedical Engineering, The University of Western Ontario , London , Canada
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Computed tomography of smoking-related lung disease: review and update. CURRENT PULMONOLOGY REPORTS 2015. [DOI: 10.1007/s13665-015-0128-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Regan EA, Lynch DA, Curran-Everett D, Curtis JL, Austin JHM, Grenier PA, Kauczor HU, Bailey WC, DeMeo DL, Casaburi RH, Friedman P, Van Beek EJR, Hokanson JE, Bowler RP, Beaty TH, Washko GR, Han MK, Kim V, Kim SS, Yagihashi K, Washington L, McEvoy CE, Tanner C, Mannino DM, Make BJ, Silverman EK, Crapo JD. Clinical and Radiologic Disease in Smokers With Normal Spirometry. JAMA Intern Med 2015; 175:1539-49. [PMID: 26098755 PMCID: PMC4564354 DOI: 10.1001/jamainternmed.2015.2735] [Citation(s) in RCA: 320] [Impact Index Per Article: 35.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
IMPORTANCE Airflow obstruction on spirometry is universally used to define chronic obstructive pulmonary disease (COPD), and current or former smokers without airflow obstruction may assume that they are disease free. OBJECTIVE To identify clinical and radiologic evidence of smoking-related disease in a cohort of current and former smokers who did not meet spirometric criteria for COPD, for whom we adopted the discarded label of Global Initiative for Obstructive Lung Disease (GOLD) 0. DESIGN, SETTING, AND PARTICIPANTS Individuals from the Genetic Epidemiology of COPD (COPDGene) cross-sectional observational study completed spirometry, chest computed tomography (CT) scans, a 6-minute walk, and questionnaires. Participants were recruited from local communities at 21 sites across the United States. The GOLD 0 group (n = 4388) (ratio of forced expiratory volume in the first second of expiration [FEV1] to forced vital capacity >0.7 and FEV1 ≥80% predicted) from the COPDGene study was compared with a GOLD 1 group (n = 794), COPD groups (n = 3690), and a group of never smokers (n = 108). Recruitment began in January 2008 and ended in July 2011. MAIN OUTCOMES AND MEASURES Physical function impairments, respiratory symptoms, CT abnormalities, use of respiratory medications, and reduced respiratory-specific quality of life. RESULTS One or more respiratory-related impairments were found in 54.1% (2375 of 4388) of the GOLD 0 group. The GOLD 0 group had worse quality of life (mean [SD] St George's Respiratory Questionnaire total score, 17.0 [18.0] vs 3.8 [6.8] for the never smokers; P < .001) and a lower 6-minute walk distance, and 42.3% (127 of 300) of the GOLD 0 group had CT evidence of emphysema or airway thickening. The FEV1 percent predicted distribution and mean for the GOLD 0 group were lower but still within the normal range for the population. Current smoking was associated with more respiratory symptoms, but former smokers had greater emphysema and gas trapping. Advancing age was associated with smoking cessation and with more CT findings of disease. Individuals with respiratory impairments were more likely to use respiratory medications, and the use of these medications was associated with worse disease. CONCLUSIONS AND RELEVANCE Lung disease and impairments were common in smokers without spirometric COPD. Based on these results, we project that there are 35 million current and former smokers older than 55 years in the United States who may have unrecognized disease or impairment. The effect of chronic smoking on the lungs and the individual is substantially underestimated when using spirometry alone.
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Affiliation(s)
- Elizabeth A Regan
- National Jewish Health, Denver, Colorado2Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora
| | | | | | - Jeffrey L Curtis
- Section of Pulmonary and Critical Care Medicine, Medical Service, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan4Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, An
| | - John H M Austin
- Department of Radiology, Columbia University Medical Center, New York, New York
| | - Philippe A Grenier
- Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Université Pierre et Marie Curie, Paris, France
| | - Hans-Ulrich Kauczor
- Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany
| | - William C Bailey
- Translational Lung Research Center Heidelberg, German Center of Lung Research, University of Alabama, Birmingham
| | - Dawn L DeMeo
- Pulmonary and Critical Care, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Richard H Casaburi
- Division of Respiratory and Critical Care Physiology and Medicine, Los Angeles Biomedical Research Institute, Harbor-University of California, Los Angeles, Medical Center, Torrance
| | - Paul Friedman
- Department of Radiology, University of California, San Diego
| | | | - John E Hokanson
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora
| | | | - Terri H Beaty
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - George R Washko
- Pulmonary and Critical Care, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - MeiLan K Han
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor
| | - Victor Kim
- Section of Pulmonary and Critical Care Medicine, Department of Medicine, Temple University, Philadelphia, Pennsylvania
| | - Song Soo Kim
- Department of Radiology, Chungnam National University Hospital, Chungnam National University School of Medicine, Daejeon, Korea
| | - Kunihiro Yagihashi
- Department of Radiology, St Marianna University School of Medicine, Sugao, Miyamaeku, Kawasaki, Kanagawa, Japan
| | - Lacey Washington
- Department of Radiology, Duke University Medical Center, Durham, North Carolina
| | | | | | - David M Mannino
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Preventive Medicine and Environmental Health, College of Public Health, University of Kentucky, Lexington
| | | | - Edwin K Silverman
- Pulmonary and Critical Care, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
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Lynch DA, Austin JHM, Hogg JC, Grenier PA, Kauczor HU, Bankier AA, Barr RG, Colby TV, Galvin JR, Gevenois PA, Coxson HO, Hoffman EA, Newell JD, Pistolesi M, Silverman EK, Crapo JD. CT-Definable Subtypes of Chronic Obstructive Pulmonary Disease: A Statement of the Fleischner Society. Radiology 2015; 277:192-205. [PMID: 25961632 DOI: 10.1148/radiol.2015141579] [Citation(s) in RCA: 365] [Impact Index Per Article: 40.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
The purpose of this statement is to describe and define the phenotypic abnormalities that can be identified on visual and quantitative evaluation of computed tomographic (CT) images in subjects with chronic obstructive pulmonary disease (COPD), with the goal of contributing to a personalized approach to the treatment of patients with COPD. Quantitative CT is useful for identifying and sequentially evaluating the extent of emphysematous lung destruction, changes in airway walls, and expiratory air trapping. However, visual assessment of CT scans remains important to describe patterns of altered lung structure in COPD. The classification system proposed and illustrated in this article provides a structured approach to visual and quantitative assessment of COPD. Emphysema is classified as centrilobular (subclassified as trace, mild, moderate, confluent, and advanced destructive emphysema), panlobular, and paraseptal (subclassified as mild or substantial). Additional important visual features include airway wall thickening, inflammatory small airways disease, tracheal abnormalities, interstitial lung abnormalities, pulmonary arterial enlargement, and bronchiectasis.
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Affiliation(s)
- David A Lynch
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - John H M Austin
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - James C Hogg
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Philippe A Grenier
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Hans-Ulrich Kauczor
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Alexander A Bankier
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - R Graham Barr
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Thomas V Colby
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Jeffrey R Galvin
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Pierre Alain Gevenois
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Harvey O Coxson
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Eric A Hoffman
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - John D Newell
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Massimo Pistolesi
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Edwin K Silverman
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - James D Crapo
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
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Novotna B, Koblizek V, Zatloukal J, Plutinsky M, Hejduk K, Zbozinkova Z, Jarkovsky J, Sobotik O, Dvorak T, Safranek P. Czech multicenter research database of severe COPD. Int J Chron Obstruct Pulmon Dis 2014; 9:1265-74. [PMID: 25419124 PMCID: PMC4235208 DOI: 10.2147/copd.s71828] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Purpose Chronic obstructive pulmonary disease (COPD) has been recognized as a heterogeneous, multiple organ system-affecting disorder. The Global Initiative for Chronic Obstructive Lung Disease (GOLD) places emphasis on symptom and exacerbation management. The aim of this study is examine the course of COPD and its impact on morbidity and all-cause mortality of patients, with respect to individual phenotypes and GOLD categories. This study will also evaluate COPD real-life patient care in the Czech Republic. Patients and methods The Czech Multicentre Research Database of COPD is projected to last for 5 years, with the aim of enrolling 1,000 patients. This is a multicenter, observational, and prospective study of patients with severe COPD (post-bronchodilator forced expiratory volume in 1 second ≤60%). Every consecutive patient, who fulfils the inclusion criteria, is asked to participate in the study. Patient recruitment is done on the basis of signed informed consent. The study was approved by the Multicentre Ethical Committee in Brno, Czech Republic. Results The objective of this paper was to outline the methodology of this study. Conclusion The establishment of the database is a useful step in improving care for COPD subjects. Additionally, it will serve as a source of data elucidating the natural course of COPD, comorbidities, and overall impact on the patients. Moreover, it will provide information on the diverse course of the COPD syndrome in the Czech Republic.
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Affiliation(s)
- Barbora Novotna
- Department of Pneumology, University Hospital Hradec Kralove, Charles University in Prague, Faculty of Medicine in Hradec Kralove, Hradec Kralove, the Czech Republic
| | - Vladimir Koblizek
- Department of Pneumology, University Hospital Hradec Kralove, Charles University in Prague, Faculty of Medicine in Hradec Kralove, Hradec Kralove, the Czech Republic
| | - Jaromir Zatloukal
- Department of Pulmonology, University Hospital, Palacky University, Olomouc, the Czech Republic
| | - Marek Plutinsky
- Department of Pulmonology, University Hospital, Masaryk University, Brno, the Czech Republic
| | - Karel Hejduk
- Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, the Czech Republic
| | - Zuzana Zbozinkova
- Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, the Czech Republic
| | - Jiri Jarkovsky
- Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, the Czech Republic
| | - Ondrej Sobotik
- Department of Pulmonology, University Hospital Motol, Charles University, Praha, the Czech Republic
| | - Tomas Dvorak
- Department of Pulmonology, Hospital Bulovka, Praha, the Czech Republic
| | - Petr Safranek
- Department of Pulmonology, University Hospital, Charles University, Plzen, the Czech Republic
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Lung density on high resolution computer tomography (HRCT) reflects degree of inflammation in smokers. Respir Res 2014; 15:23. [PMID: 24564813 PMCID: PMC3944780 DOI: 10.1186/1465-9921-15-23] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2013] [Accepted: 02/16/2014] [Indexed: 01/11/2023] Open
Abstract
Background Smokers have increased cell concentration in the lower respiratory tract indicating a chronic inflammatory state, which in some individuals may lead to development of chronic obstructive pulmonary disease (COPD). Computer tomography (CT) imaging provides means of quantifying pulmonary structure and early signs of disease. We investigated whether lung density on high resolution CT differs between smokers and never-smokers and if this were associated to intensity of inflammation. Methods Forty smoking volunteers with normal pulmonary function, 40 healthy never-smokers and 40 patients with COPD of GOLD stage I-II, were included. Mean lung attenuation and percentage of pixels in the lung with attenuation between −750 and −900 HU (percentage higher density spectrum (%HDS)) were calculated on inspiratory CT-scans. Markers of systemic inflammation in blood and cell counts in bronchoalveolar lavage (BAL) fluid were recorded. Results Lung density expressed as %HDS was increased in smokers (44.0 ± 5.8%) compared to both never-smokers (38.3 ± 5.8%) and patients with COPD (39.1 ± 5.8%), (p < 0.001, for both). Females had denser lungs than males, which was dependent on body height. Cell concentration in BAL were correlated to lung density in smokers (r = 0.50, p < 0.001). Conclusions Lung density on CT is associated with cell concentration in BAL in smokers and may mirror an inflammatory response in the lung. Gender difference in lung density is dependent on height. In COPD with emphysema, loss of lung tissue may counterbalance the expected increase in density due to inflammation. The findings may help to interpret high resolution CT in the context of smoking and gender and highlight the heterogeneity of structural changes in COPD.
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