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Yasaka K, Abe O. Impact of rapid iodine contrast agent infusion on tracheal diameter and lung volume in CT pulmonary angiography measured with deep learning-based algorithm. Jpn J Radiol 2024:10.1007/s11604-024-01591-7. [PMID: 38733470 DOI: 10.1007/s11604-024-01591-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 05/04/2024] [Indexed: 05/13/2024]
Abstract
PURPOSE To compare computed tomography (CT) pulmonary angiography and unenhanced CT to determine the effect of rapid iodine contrast agent infusion on tracheal diameter and lung volume. MATERIAL AND METHODS This retrospective study included 101 patients who underwent CT pulmonary angiography and unenhanced CT, for which the time interval between them was within 365 days. CT pulmonary angiography was scanned 20 s after starting the contrast agent injection at the end-inspiratory level. Commercial software, which was developed based on deep learning technique, was used to segment the lung, and its volume was automatically evaluated. The tracheal diameter at the thoracic inlet level was also measured. Then, the ratios for the CT pulmonary angiography to unenhanced CT of the tracheal diameter (TDPAU) and both lung volumes (BLVPAU) were calculated. RESULTS Tracheal diameter and both lung volumes were significantly smaller in CT pulmonary angiography (17.2 ± 2.6 mm and 3668 ± 1068 ml, respectively) than those in unenhanced CT (17.7 ± 2.5 mm and 3887 ± 1086 ml, respectively) (p < 0.001 for both). A statistically significant correlation was found between TDPAU and BLVPAU with a correlation coefficient of 0.451 (95% confidence interval, 0.280-0.594) (p < 0.001). No factor showed a significant association with TDPAU. The type of contrast agent had a significant association for BLVPAU (p = 0.042). CONCLUSIONS Rapid infusion of iodine contrast agent reduced the tracheal diameter and both lung volumes in CT pulmonary angiography, which was scanned at end-inspiratory level, compared with those in unenhanced CT.
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Affiliation(s)
- Koichiro Yasaka
- Department of Radiology, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
| | - Osamu Abe
- Department of Radiology, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
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Elbehairy AF, Marshall H, Naish JH, Wild JM, Parraga G, Horsley A, Vestbo J. Advances in COPD imaging using CT and MRI: linkage with lung physiology and clinical outcomes. Eur Respir J 2024; 63:2301010. [PMID: 38548292 DOI: 10.1183/13993003.01010-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 03/16/2024] [Indexed: 05/04/2024]
Abstract
Recent years have witnessed major advances in lung imaging in patients with COPD. These include significant refinements in images obtained by computed tomography (CT) scans together with the introduction of new techniques and software that aim for obtaining the best image whilst using the lowest possible radiation dose. Magnetic resonance imaging (MRI) has also emerged as a useful radiation-free tool in assessing structural and more importantly functional derangements in patients with well-established COPD and smokers without COPD, even before the existence of overt changes in resting physiological lung function tests. Together, CT and MRI now allow objective quantification and assessment of structural changes within the airways, lung parenchyma and pulmonary vessels. Furthermore, CT and MRI can now provide objective assessments of regional lung ventilation and perfusion, and multinuclear MRI provides further insight into gas exchange; this can help in structured decisions regarding treatment plans. These advances in chest imaging techniques have brought new insights into our understanding of disease pathophysiology and characterising different disease phenotypes. The present review discusses, in detail, the advances in lung imaging in patients with COPD and how structural and functional imaging are linked with common resting physiological tests and important clinical outcomes.
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Affiliation(s)
- Amany F Elbehairy
- Department of Chest Diseases, Faculty of Medicine, Alexandria University, Alexandria, Egypt
- Division of Infection, Immunity and Respiratory Medicine, The University of Manchester and Manchester University NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK
| | - Helen Marshall
- POLARIS, Imaging, Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Josephine H Naish
- MCMR, Manchester University NHS Foundation Trust, Manchester, UK
- Bioxydyn Limited, Manchester, UK
| | - Jim M Wild
- POLARIS, Imaging, Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
- Insigneo Institute for in silico Medicine, Sheffield, UK
| | - Grace Parraga
- Robarts Research Institute, Western University, London, ON, Canada
- Department of Medical Biophysics, Western University, London, ON, Canada
- Division of Respirology, Western University, London, ON, Canada
| | - Alexander Horsley
- Division of Infection, Immunity and Respiratory Medicine, The University of Manchester and Manchester University NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK
| | - Jørgen Vestbo
- Division of Infection, Immunity and Respiratory Medicine, The University of Manchester and Manchester University NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK
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Fortis S, Georgopoulos D, Tzanakis N, Sciurba F, Zabner J, Comellas AP. Chronic obstructive pulmonary disease (COPD) and COPD-like phenotypes. Front Med (Lausanne) 2024; 11:1375457. [PMID: 38654838 PMCID: PMC11037247 DOI: 10.3389/fmed.2024.1375457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 03/20/2024] [Indexed: 04/26/2024] Open
Abstract
Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease. Historically, two COPD phenotypes have been described: chronic bronchitis and emphysema. Although these phenotypes may provide additional characterization of the pathophysiology of the disease, they are not extensive enough to reflect the heterogeneity of COPD and do not provide granular categorization that indicates specific treatment, perhaps with the exception of adding inhaled glucocorticoids (ICS) in patients with chronic bronchitis. In this review, we describe COPD phenotypes that provide prognostication and/or indicate specific treatment. We also describe COPD-like phenotypes that do not necessarily meet the current diagnostic criteria for COPD but provide additional prognostication and may be the targets for future clinical trials.
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Affiliation(s)
- Spyridon Fortis
- Center for Access and Delivery Research and Evaluation, Iowa City VA Health Care System, Iowa City, IA, United States
- Division of Pulmonary, Critical Care and Occupational Medicine, Department of Internal Medicine, University of Iowa, Iowa City, IA, United States
- Medical School, University of Crete, Heraklion, Greece
| | | | | | - Frank Sciurba
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Joseph Zabner
- Division of Pulmonary, Critical Care and Occupational Medicine, Department of Internal Medicine, University of Iowa, Iowa City, IA, United States
| | - Alejandro P. Comellas
- Division of Pulmonary, Critical Care and Occupational Medicine, Department of Internal Medicine, University of Iowa, Iowa City, IA, United States
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Yasaka K, Saigusa H, Abe O. Effects of Intravenous Infusion of Iodine Contrast Media on the Tracheal Diameter and Lung Volume Measured with Deep Learning-Based Algorithm. JOURNAL OF IMAGING INFORMATICS IN MEDICINE 2024:10.1007/s10278-024-01071-4. [PMID: 38448759 DOI: 10.1007/s10278-024-01071-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 02/06/2024] [Accepted: 02/22/2024] [Indexed: 03/08/2024]
Abstract
This study aimed to investigate the effects of intravenous injection of iodine contrast agent on the tracheal diameter and lung volume. In this retrospective study, a total of 221 patients (71.1 ± 12.4 years, 174 males) who underwent vascular dynamic CT examination including chest were included. Unenhanced, arterial phase, and delayed-phase images were scanned. The tracheal luminal diameters at the level of the thoracic inlet and both lung volumes were evaluated by a radiologist using a commercial software, which allows automatic airway and lung segmentation. The tracheal diameter and both lung volumes were compared between the unenhanced vs. arterial and delayed phase using a paired t-test. The Bonferroni correction was performed for multiple group comparisons. The tracheal diameter in the arterial phase (18.6 ± 2.4 mm) was statistically significantly smaller than those in the unenhanced CT (19.1 ± 2.5 mm) (p < 0.001). No statistically significant difference was found in the tracheal diameter between the delayed phase (19.0 ± 2.4 mm) and unenhanced CT (p = 0.077). Both lung volumes in the arterial phase were 4131 ± 1051 mL which was significantly smaller than those in the unenhanced CT (4332 ± 1076 mL) (p < 0.001). No statistically significant difference was found in both lung volumes between the delayed phase (4284 ± 1054 mL) and unenhanced CT (p = 0.068). In conclusion, intravenous infusion of iodine contrast agent transiently decreased the tracheal diameter and both lung volumes.
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Affiliation(s)
- Koichiro Yasaka
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
| | - Hiroyuki Saigusa
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Osamu Abe
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
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Hou Y, Wu F, Fan H, Li H, Hao B, Deng Z, Lu X, Zhou Y, Ran P. Association of non-obstructive dyspnoea with all-cause mortality and incident chronic obstructive pulmonary disease: a systematic literature review and meta-analysis. BMJ Open Respir Res 2024; 11:e001933. [PMID: 38395457 PMCID: PMC10895236 DOI: 10.1136/bmjresp-2023-001933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 01/19/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND Controversy exists regarding the association between non-obstructive dyspnoea and the future development of chronic obstructive pulmonary disease (COPD) and mortality. Therefore, we aimed to evaluate the association of non-obstructive dyspnoea with mortality and incident COPD in adults. METHODS We searched PubMed, Embase, and Web of Science to identify studies published from inception to 13 May 2023. Eligibility screening, data extraction, and quality assessment of the retrieved articles were conducted independently by two reviewers. Studies were included if they were original articles comparing incident COPD and all-cause mortality between individuals with normal lung function with and without dyspnoea. The primary outcomes were incident COPD and all-cause mortality. The secondary outcome was respiratory disease-related mortality. We used the random-effects model to calculate pooled estimates and corresponding 95% confidence interval (CI). Heterogeneity was determined using the I² statistic. RESULTS Of 6486 studies, 8 studies involving 100 758 individuals fulfilled the inclusion and exclusion criteria and were included in the study. Compared with individuals without non-obstructive dyspnoea, individuals with non-obstructive dyspnoea had an increased risk of incident COPD (relative risk: 1.41, 95% CI: 1.08 to 1.83), and moderate heterogeneity was found (p=0.079, I2=52.2%). Individuals with non-obstructive dyspnoea had a higher risk of all-cause mortality (hazard ratio: 1.21, 95% CI: 1.14 to 1.28, I2=0.0%) and respiratory disease-related mortality (hazard ratio: 1.52, 95% CI: 1.14 to 2.02, I2=0.0%) than those without. CONCLUSIONS Individuals with non-obstructive dyspnoea are at a higher risk of incident COPD and all-cause mortality than individuals without dyspnoea. Further research should investigate whether these high-risk adults may benefit from risk management and early therapeutic intervention. PROSPERO REGISTRATION NUMBER CRD42023395192.
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Affiliation(s)
- Yuyan Hou
- Jiaying University, Meizhou, Guangdong, China
| | - Fan Wu
- State Key Laboratory of Respiratory Disease & Guangzhou Institute of Respiratory Health & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Guangzhou National Laboratory, Guangzhou, China
| | - Huanhuan Fan
- Department of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Haiqing Li
- State Key Laboratory of Respiratory Disease & Guangzhou Institute of Respiratory Health & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Binwei Hao
- Department of Pulmonary and Critical Care Medicine, Shanxi Bethune Hospital Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China
| | - Zhishan Deng
- State Key Laboratory of Respiratory Disease & Guangzhou Institute of Respiratory Health & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiaoyan Lu
- State Key Laboratory of Respiratory Disease & Guangzhou Institute of Respiratory Health & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yumin Zhou
- State Key Laboratory of Respiratory Disease & Guangzhou Institute of Respiratory Health & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Guangzhou National Laboratory, Guangzhou, China
| | - Pixin Ran
- State Key Laboratory of Respiratory Disease & Guangzhou Institute of Respiratory Health & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Guangzhou National Laboratory, Guangzhou, China
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Zeng S, Nishihama M, Weldemichael L, Lozier H, Gold WM, Arjomandi M. Effect of twice daily inhaled albuterol on cardiopulmonary exercise outcomes, dynamic hyperinflation, and symptoms in secondhand tobacco-exposed persons with preserved spirometry and air trapping: a randomized controlled trial. BMC Pulm Med 2024; 24:44. [PMID: 38245665 PMCID: PMC10799390 DOI: 10.1186/s12890-023-02808-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 12/07/2023] [Indexed: 01/22/2024] Open
Abstract
BACKGROUND In tobacco-exposed persons with preserved spirometry (active smoking or secondhand smoke [SHS] exposure), air trapping can identify a subset with worse symptoms and exercise capacity. The physiologic nature of air trapping in the absence of spirometric airflow obstruction remains unclear. The aim of this study was to examine the underlying pathophysiology of air trapping in the context of preserved spirometry and to determine the utility of bronchodilators in SHS tobacco-exposed persons with preserved spirometry and air trapping. METHODS We performed a double-blinded placebo-controlled crossover randomized clinical trial in nonsmoking individuals at risk for COPD due to exposure to occupational SHS who had preserved spirometry and air trapping defined as either a residual volume-to-total lung capacity ratio (RV/TLC) > 0.35 or presence of expiratory flow limitation (EFL, overlap of tidal breathing on maximum expiratory flow-volume loop) on spirometry at rest or during cardiopulmonary exercise testing (CPET). Those with asthma or obesity were excluded. Participants underwent CPET at baseline and after 4-week trials of twice daily inhalation of 180 mcg of albuterol or placebo separated by a 2-week washout period. The primary outcome was peak oxygen consumption (VO2) on CPET. Data was analyzed by both intention-to-treat and per-protocol based on adherence to treatment prescribed. RESULTS Overall, 42 participants completed the entire study (66 ± 8 years old, 91% female; forced expiratory volume in 1 s [FEV1] = 103 ± 16% predicted; FEV1 to forced vital capacity [FVC] ratio = 0.75 ± 0.05; RV/TLC = 0.39 ± 0.07; 85.7% with EFL). Adherence was high with 87% and 93% of prescribed doses taken in the treatment and placebo arms of the study, respectively (P = 0.349 for comparison between the two arms). There was no significant improvement in the primary or secondary outcomes by intention-to-treat or per-protocol analysis. In per-protocol subgroup analysis of those with RV/TLC > 0.35 and ≥ 90% adherence (n = 27), albuterol caused an improvement in peak VO2 (parameter estimate [95% confidence interval] = 0.108 [0.014, 0.202]; P = 0.037), tidal volume, minute ventilation, dynamic hyperinflation, and oxygen-pulse (all P < 0.05), but no change in symptoms or physical activity. CONCLUSIONS Albuterol may improve exercise capacity in the subgroup of SHS tobacco-exposed persons with preserved spirometry and substantial air trapping. These findings suggest that air trapping in pre-COPD may be related to small airway disease that is not considered significant by spirometric indices of airflow obstruction.
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Affiliation(s)
- Siyang Zeng
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA
- Pulmonary and Critical Care Section, San Francisco Veterans Affairs Health Care System, Building 203, Room 3A-128, Mailstop 111-D, 4150 Clement Street, San Francisco, CA, 94121, USA
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, CA, USA
| | - Melissa Nishihama
- Pulmonary and Critical Care Section, San Francisco Veterans Affairs Health Care System, Building 203, Room 3A-128, Mailstop 111-D, 4150 Clement Street, San Francisco, CA, 94121, USA
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, CA, USA
| | - Lemlem Weldemichael
- Pulmonary and Critical Care Section, San Francisco Veterans Affairs Health Care System, Building 203, Room 3A-128, Mailstop 111-D, 4150 Clement Street, San Francisco, CA, 94121, USA
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, CA, USA
| | - Helen Lozier
- Pulmonary and Critical Care Section, San Francisco Veterans Affairs Health Care System, Building 203, Room 3A-128, Mailstop 111-D, 4150 Clement Street, San Francisco, CA, 94121, USA
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, CA, USA
- Carver College of Medicine, University of Iowa, Iowa City, USA
| | - Warren M Gold
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, CA, USA
| | - Mehrdad Arjomandi
- Pulmonary and Critical Care Section, San Francisco Veterans Affairs Health Care System, Building 203, Room 3A-128, Mailstop 111-D, 4150 Clement Street, San Francisco, CA, 94121, USA.
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, CA, USA.
- Department of Medicine, Division of Occupational, Environmental, and Climate Medicine, University of California, San Francisco, CA, USA.
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Byanova KL, Abelman R, North CM, Christenson SA, Huang L. COPD in People with HIV: Epidemiology, Pathogenesis, Management, and Prevention Strategies. Int J Chron Obstruct Pulmon Dis 2023; 18:2795-2817. [PMID: 38050482 PMCID: PMC10693779 DOI: 10.2147/copd.s388142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 11/09/2023] [Indexed: 12/06/2023] Open
Abstract
Chronic obstructive pulmonary disease (COPD) is a progressive respiratory disorder characterized by airflow limitation and persistent respiratory symptoms. People with HIV (PWH) are particularly vulnerable to COPD development; PWH have demonstrated both higher rates of COPD and an earlier and more rapid decline in lung function than their seronegative counterparts, even after accounting for differences in cigarette smoking. Factors contributing to this HIV-associated difference include chronic immune activation and inflammation, accelerated aging, a predilection for pulmonary infections, alterations in the lung microbiome, and the interplay between HIV and inhalational toxins. In this review, we discuss what is known about the epidemiology and pathobiology of COPD among PWH and outline screening, diagnostic, prevention, and treatment strategies.
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Affiliation(s)
- Katerina L Byanova
- Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Rebecca Abelman
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Crystal M North
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Stephanie A Christenson
- Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Laurence Huang
- Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
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Makimoto K, Hogg JC, Bourbeau J, Tan WC, Kirby M. CT Imaging With Machine Learning for Predicting Progression to COPD in Individuals at Risk. Chest 2023; 164:1139-1149. [PMID: 37421974 DOI: 10.1016/j.chest.2023.06.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 05/26/2023] [Accepted: 06/05/2023] [Indexed: 07/10/2023] Open
Abstract
BACKGROUND Identifying individuals at risk of progressing to COPD may allow for initiation of treatment to potentially slow the progression of the disease or the selection of subgroups for discovery of novel interventions. RESEARCH QUESTION Does the addition of CT imaging features, texture-based radiomic features, and established quantitative CT scan to conventional risk factors improve the performance for predicting progression to COPD in individuals who smoke with machine learning? STUDY DESIGN AND METHODS Participants at risk (individuals who currently or formerly smoked, without COPD) from the Canadian Cohort Obstructive Lung Disease (CanCOLD) population-based study underwent CT imaging at baseline and spirometry at baseline and follow-up. Various combinations of CT scan features, texture-based CT scan radiomics (n = 95), and established quantitative CT scan (n = 8), as well as demographic (n = 5) and spirometry (n = 3) measurements, with machine learning algorithms were evaluated to predict progression to COPD. Performance metrics included the area under the receiver operating characteristic curve (AUC) to evaluate the models. DeLong test was used to compare the performance of the models. RESULTS Among the 294 at-risk participants who were evaluated (mean age, 65.6 ± 9.2 years; 42% female; mean pack-years, 17.9 ± 18.7), 52 participants (23.7%) in the training data set and 17 participants (23.0%) in the testing data set progressed to spirometric COPD at follow-up (2.5 ± 0.9 years from baseline). Compared with machine learning models with demographics alone (AUC, 0.649), the addition of CT imaging features to demographics (AUC, 0.730; P < .05) or CT imaging features and spirometry to demographics (AUC, 0.877; P < .05) significantly improved the performance for predicting progression to COPD. INTERPRETATION Heterogeneous structural changes occur in the lungs of individuals at risk that can be quantified using CT imaging features, and evaluation of these features together with conventional risk factors improves performance for predicting progression to COPD.
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Affiliation(s)
| | - James C Hogg
- Center for Heart, Lung Innovation, University of British Columbia, Vancouver, BC, Canada
| | - Jean Bourbeau
- Montreal Chest Institute of the Royal Victoria Hospital, McGill University Health Centre, Montreal, QC, Canada; Respiratory Epidemiology and Clinical Research Unit, Research Institute of McGill University Health Centre, Montreal, QC, Canada
| | - Wan C Tan
- Center for Heart, Lung Innovation, University of British Columbia, Vancouver, BC, Canada
| | - Miranda Kirby
- Toronto Metropolitan University, Toronto, ON, Canada.
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Zeng S, Luo G, Lynch DA, Bowler RP, Arjomandi M. Lung volumes differentiate the predominance of emphysema versus airway disease phenotype in early COPD: an observational study of the COPDGene cohort. ERJ Open Res 2023; 9:00289-2023. [PMID: 37727675 PMCID: PMC10505951 DOI: 10.1183/23120541.00289-2023] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 06/19/2023] [Indexed: 09/21/2023] Open
Abstract
Rationale Lung volumes identify the "susceptible smokers" who progress to develop spirometric COPD. However, among susceptible smokers, development of spirometric COPD seems to be heterogeneous, suggesting the presence of different pathological mechanisms during early establishment of spirometric COPD. The objective of the present study was to determine the differential patterns of radiographic pathologies among susceptible smokers. Methods We categorised smokers with preserved spirometry (Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage 0) in the Genetic Epidemiology of COPD (COPDGene) cohort based on tertiles (low, intermediate and high) of lung volumes (either total lung capacity (TLC), functional residual capacity FRC or FRC/TLC) at baseline visit. We then examined the differential patterns of change in spirometry and the associated prevalence of computed tomography measured pathologies of emphysema and airway disease with those categories of lung volumes. Results The pattern of spirometric change differed when participants were categorised by TLC versus FRC/TLC: those in the high TLC tertile showed stable forced expiratory volume in 1 s (FEV1), but enlarging forced vital capacity (FVC), while those in the high FRC/TLC tertile showed decline in both FEV1 and FVC. When participants from the high TLC and high FRC/TLC tertiles were partitioned into mutually exclusive groups, compared to those with high TLC, those with high FRC/TLC had lesser emphysema, but greater air trapping, more self-reported respiratory symptoms and exacerbation episodes and higher likelihood of progressing to more severe spirometric disease (GOLD stages 2-4 versus GOLD stage 1). Conclusions Lung volumes identify distinct physiological and radiographic phenotypes in early disease among susceptible smokers and predict the rate of spirometric disease progression and the severity of symptoms in early COPD.
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Affiliation(s)
- Siyang Zeng
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA
- Medical Service, San Francisco Veterans Affairs Healthcare System, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Gang Luo
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA
| | | | | | - Mehrdad Arjomandi
- Medical Service, San Francisco Veterans Affairs Healthcare System, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, CA, USA
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10
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Arjomandi M, Zeng S, Chen J, Bhatt SP, Abtin F, Barjaktarevic I, Barr RG, Bleecker ER, Buhr RG, Criner GJ, Comellas AP, Couper DJ, Curtis JL, Dransfield MT, Fortis S, Han MK, Hansel NN, Hoffman EA, Hokanson JE, Kaner RJ, Kanner RE, Krishnan JA, Labaki WW, Lynch DA, Ortega VE, Peters SP, Woodruff PG, Cooper CB, Bowler RP, Paine III R, Rennard SI, Tashkin DP. Changes in Lung Volumes with Spirometric Disease Progression in COPD. CHRONIC OBSTRUCTIVE PULMONARY DISEASES (MIAMI, FLA.) 2023; 10:270-285. [PMID: 37199719 PMCID: PMC10484496 DOI: 10.15326/jcopdf.2022.0363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/12/2023] [Indexed: 05/19/2023]
Abstract
Background Abnormal lung volumes representing air trapping identify the subset of smokers with preserved spirometry who develop spirometric chronic obstructive pulmonary disease (COPD) and adverse outcomes. However, how lung volumes evolve in early COPD as airflow obstruction develops remains unclear. Methods To establish how lung volumes change with the development of spirometric COPD, we examined lung volumes from the pulmonary function data (seated posture) available in the U.S. Department of Veterans Affairs electronic health records (n=71,356) and lung volumes measured by computed tomography (supine posture) available from the COPD Genetic Epidemiology (COPDGene®) study (n=7969) and the SubPopulations and InterMediate Outcome Measures In COPD Study (SPIROMICS) (n=2552) cohorts, and studied their cross-sectional distributions and longitudinal changes across the airflow obstruction spectrum. Patients with preserved ratio-impaired spirometry (PRISm) were excluded from this analysis. Results Lung volumes from all 3 cohorts showed similar patterns of distributions and longitudinal changes with worsening airflow obstruction. The distributions for total lung capacity (TLC), vital capacity (VC), and inspiratory capacity (IC) and their patterns of change were nonlinear and included different phases. When stratified by airflow obstruction using Global initiative for chronic Obstructive Lung Disease (GOLD) stages, patients with GOLD 1 (mild) COPD had larger lung volumes (TLC, VC, IC) compared to patients with GOLD 0 (smokers with preserved spirometry) or GOLD 2 (moderate) disease. In longitudinal follow-up of baseline GOLD 0 patients who progressed to spirometric COPD, those with an initially higher TLC and VC developed mild obstruction (GOLD 1) while those with an initially lower TLC and VC developed moderate obstruction (GOLD 2). Conclusions In COPD, TLC, and VC have biphasic distributions, change in nonlinear fashions as obstruction worsens, and could differentiate those GOLD 0 patients at risk for more rapid spirometric disease progression.
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Affiliation(s)
- Mehrdad Arjomandi
- San Francisco Veterans Affairs Healthcare System, San Francisco, California, United States
- Department of Medicine, University of California, San Francisco, California, United States
| | - Siyang Zeng
- San Francisco Veterans Affairs Healthcare System, San Francisco, California, United States
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, United States
| | - Jianhong Chen
- San Francisco Veterans Affairs Healthcare System, San Francisco, California, United States
- Department of Medicine, University of California, San Francisco, California, United States
| | - Surya P. Bhatt
- University of Alabama at Birmingham, Birmingham, Alabama, United States
| | - Fereidoun Abtin
- Department of Medicine, University of California, Los Angeles, California, United States
| | - Igor Barjaktarevic
- Department of Medicine, University of California, Los Angeles, California, United States
| | - R. Graham Barr
- Columbia-Presbyterian Medical Center, New York, New York, United States
| | - Eugene R. Bleecker
- University of Arizona, College of Medicine, Tucson, Arizona, United States
| | - Russell G. Buhr
- Department of Medicine, University of California, Los Angeles, California, United States
| | | | | | - David J. Couper
- University of North Carolina, Chapel Hill, North Carolina, United States
| | - Jeffrey L. Curtis
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States
- Medical Service, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan, United States
| | | | | | - MeiLan K. Han
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States
| | - Nadia N. Hansel
- Department of Medicine, Johns Hopkins University, Baltimore, United States
| | | | - John E. Hokanson
- Department of Epidemiology, School of Public Health, University of Colorado, United States
| | - Robert J. Kaner
- Weill Cornell Medical Center, New York, New York, United States
| | | | | | - Wassim W. Labaki
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States
| | - David A. Lynch
- Department of Radiology, National Jewish Health Systems, Denver, Colorado, United States
| | | | - Stephen P. Peters
- Wake Forest School of Medicine, Winston-Salem, North Carolina, United States
| | - Prescott G. Woodruff
- Department of Medicine, University of California, San Francisco, California, United States
| | - Christopher B. Cooper
- Department of Medicine, University of California, Los Angeles, California, United States
| | - Russell P. Bowler
- Department of Medicine, National Jewish Health Systems, Denver, Colorado, United States
| | - Robert Paine III
- University of Utah, Salt Lake City, Utah, United States
- Department of Medicine, National Jewish Health Systems, Denver, Colorado, United States
| | | | - Donald P. Tashkin
- Columbia-Presbyterian Medical Center, New York, New York, United States
| | - the COPDGene and SPIROMICS Investigators.
- San Francisco Veterans Affairs Healthcare System, San Francisco, California, United States
- Department of Medicine, University of California, San Francisco, California, United States
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, United States
- University of Alabama at Birmingham, Birmingham, Alabama, United States
- Department of Medicine, University of California, Los Angeles, California, United States
- Columbia-Presbyterian Medical Center, New York, New York, United States
- University of Arizona, College of Medicine, Tucson, Arizona, United States
- Temple University, Philadelphia, Pennsylvania, United States
- University of Iowa, Iowa City, Iowa, United States
- University of North Carolina, Chapel Hill, North Carolina, United States
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States
- Medical Service, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan, United States
- Department of Medicine, Johns Hopkins University, Baltimore, United States
- Department of Epidemiology, School of Public Health, University of Colorado, United States
- Weill Cornell Medical Center, New York, New York, United States
- University of Utah, Salt Lake City, Utah, United States
- University of Illinois at Chicago, Chicago, Illinois, United States
- Department of Radiology, National Jewish Health Systems, Denver, Colorado, United States
- Mayo Clinic, Scottsdale, Arizona, United States
- Wake Forest School of Medicine, Winston-Salem, North Carolina, United States
- Department of Medicine, National Jewish Health Systems, Denver, Colorado, United States
- University of Nebraska Medical Center, Omaha, Nebraska, United States
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11
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Kheradmand F, Zhang Y, Corry DB. Contribution of adaptive immunity to human COPD and experimental models of emphysema. Physiol Rev 2023; 103:1059-1093. [PMID: 36201635 PMCID: PMC9886356 DOI: 10.1152/physrev.00036.2021] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 09/15/2022] [Accepted: 09/20/2022] [Indexed: 02/01/2023] Open
Abstract
The pathophysiology of chronic obstructive pulmonary disease (COPD) and the undisputed role of innate immune cells in this condition have dominated the field in the basic research arena for many years. Recently, however, compelling data suggesting that adaptive immune cells may also contribute to the progressive nature of lung destruction associated with COPD in smokers have gained considerable attention. The histopathological changes in the lungs of smokers can be limited to the large or small airways, but alveolar loss leading to emphysema, which occurs in some individuals, remains its most significant and irreversible outcome. Critically, however, the question of why emphysema progresses in a subset of former smokers remained a mystery for many years. The recognition of activated and organized tertiary T- and B-lymphoid aggregates in emphysematous lungs provided the first clue that adaptive immune cells may play a crucial role in COPD pathophysiology. Based on these findings from human translational studies, experimental animal models of emphysema were used to determine the mechanisms through which smoke exposure initiates and orchestrates adaptive autoreactive inflammation in the lungs. These models have revealed that T helper (Th)1 and Th17 subsets promote a positive feedback loop that activates innate immune cells, confirming their role in emphysema pathogenesis. Results from genetic studies and immune-based discoveries have further provided strong evidence for autoimmunity induction in smokers with emphysema. These new findings offer a novel opportunity to explore the mechanisms underlying the inflammatory landscape in the COPD lung and offer insights for development of precision-based treatment to halt lung destruction.
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Affiliation(s)
- Farrah Kheradmand
- Department of Medicine, Baylor College of Medicine, Houston, Texas
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas
- Biology of Inflammation Center, Baylor College of Medicine, Houston, Texas
- Center for Translational Research on Inflammatory Diseases (CTRID), Michael E. DeBakey Department of Veterans Affairs Medical Center, Houston, Texas
| | - Yun Zhang
- Department of Medicine, Baylor College of Medicine, Houston, Texas
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas
| | - David B Corry
- Department of Medicine, Baylor College of Medicine, Houston, Texas
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas
- Biology of Inflammation Center, Baylor College of Medicine, Houston, Texas
- Center for Translational Research on Inflammatory Diseases (CTRID), Michael E. DeBakey Department of Veterans Affairs Medical Center, Houston, Texas
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12
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Wu F, Zheng Y, Zhao N, Peng J, Deng Z, Yang H, Tian H, Xiao S, Wen X, Huang P, Dai C, Lu L, Zhou K, Wu X, Fan H, Li H, Sun R, Yang C, Chen S, Huang J, Yu S, Zhou Y, Ran P. Clinical features and 1-year outcomes of chronic bronchitis in participants with normal spirometry: results from the ECOPD study in China. BMJ Open Respir Res 2023; 10:10/1/e001449. [PMID: 37028909 PMCID: PMC10083876 DOI: 10.1136/bmjresp-2022-001449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 03/24/2023] [Indexed: 04/09/2023] Open
Abstract
BACKGROUND Evidence regarding clinical features and outcomes of individuals with non-obstructive chronic bronchitis (NOCB) remains scarce, especially in never-smokers. We aimed to investigate the clinical features and 1-year outcomes of individuals with NOCB in the Chinese population. METHODS We obtained data on participants in the Early Chronic Obstructive Pulmonary Disease Study who had normal spirometry (post-bronchodilator forced expiratory volume in 1 s/forced vital capacity ≥0.70). NOCB was defined as chronic cough and sputum production for at least 3 months for two consecutive years or more at baseline in participants with normal spirometry. We assessed the differences in demographics, risk factors, lung function, impulse oscillometry, CT imaging and frequency of acute respiratory events between participants with and without NOCB. RESULTS NOCB was present in 13.1% (149/1140) of participants with normal spirometry at baseline. Compared with participants without NOCB, those with NOCB had a higher proportion of men and participants with smoke exposure, occupational exposure, family history of respiratory diseases and worse respiratory symptoms (all p<0.05), but there was no significant difference in lung function. Never-smokers with NOCB had higher rates of emphysema than those without NOCB, but airway resistance was similar. Ever-smokers with NOCB had greater airway resistance than those without NOCB, but emphysema rates were similar. During 1-year follow-up, participants with NOCB had a significantly increased risk of acute respiratory events compared with participants who did not have NOCB, after adjustment for confounders (risk ratio 2.10, 95% CI 1.32 to 3.33; p=0.002). These results were robust in never-smokers and ever-smokers. CONCLUSIONS Never-smokers and ever-smokers with NOCB had more chronic obstructive pulmonary disease-related risk factors, evidence of airway disease and greater risk of acute respiratory events than those without NOCB. Our findings support expanding the criteria defining pre-COPD to include NOCB.
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Affiliation(s)
- Fan Wu
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
- Guangzhou Laboratory, Guangzhou, People's Republic of China
| | - Youlan Zheng
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Ningning Zhao
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Jieqi Peng
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
- Guangzhou Laboratory, Guangzhou, People's Republic of China
| | - Zhishan Deng
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Huajing Yang
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Heshen Tian
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Shan Xiao
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Xiang Wen
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Peiyu Huang
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Cuiqiong Dai
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Lifei Lu
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Kunning Zhou
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Xiaohui Wu
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Huanhuan Fan
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Haiqing Li
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Ruiting Sun
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Changli Yang
- Department of Pulmonary and Critical Care Medicine, Wengyuan County People's Hospital, Shaoguan, People's Republic of China
| | - Shengtang Chen
- Medical Imaging Center, Wengyuan County People's Hospital, Shaogguan, People's Republic of China
| | - Jianhui Huang
- Department of Internal Medicine, Lianping County People's Hospital, Heyuan, People's Republic of China
| | - Shuqing Yu
- Lianping County Hospital of Traditional Chinese Medicine, Heyuan, People's Republic of China
| | - Yumin Zhou
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
- Guangzhou Laboratory, Guangzhou, People's Republic of China
| | - Pixin Ran
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
- Guangzhou Laboratory, Guangzhou, People's Republic of China
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13
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Li F, Choi J, Zhang X, Rajaraman PK, Lee CH, Ko H, Chae KJ, Park EK, Comellas AP, Hoffman EA, Lin CL. Characterizing Subjects Exposed to Humidifier Disinfectants Using Computed-Tomography-Based Latent Traits: A Deep Learning Approach. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:11894. [PMID: 36231196 PMCID: PMC9565839 DOI: 10.3390/ijerph191911894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Revised: 09/09/2022] [Accepted: 09/14/2022] [Indexed: 06/16/2023]
Abstract
Around nine million people have been exposed to toxic humidifier disinfectants (HDs) in Korea. HD exposure may lead to HD-associated lung injuries (HDLI). However, many people who have claimed that they experienced HD exposure were not diagnosed with HDLI but still felt discomfort, possibly due to the unknown effects of HD. Therefore, this study examined HD-exposed subjects with normal-appearing lungs, as well as unexposed subjects, in clusters (subgroups) with distinct characteristics, classified by deep-learning-derived computed-tomography (CT)-based tissue pattern latent traits. Among the major clusters, cluster 0 (C0) and cluster 5 (C5) were dominated by HD-exposed and unexposed subjects, respectively. C0 was characterized by features attributable to lung inflammation or fibrosis in contrast with C5. The computational fluid and particle dynamics (CFPD) analysis suggested that the smaller airway sizes observed in the C0 subjects led to greater airway resistance and particle deposition in the airways. Accordingly, women appeared more vulnerable to HD-associated lung abnormalities than men.
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Affiliation(s)
- Frank Li
- Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, IA 52242, USA
- IIHR—Hydroscience & Engineering, University of Iowa, Iowa City, IA 52242, USA
| | - Jiwoong Choi
- Department of Mechanical Engineering, University of Iowa, Iowa City, IA 52242, USA
- Department of Internal Medicine, School of Medicine, University of Kansas, Kansas City, KS 66045, USA
| | - Xuan Zhang
- IIHR—Hydroscience & Engineering, University of Iowa, Iowa City, IA 52242, USA
- Department of Mechanical Engineering, University of Iowa, Iowa City, IA 52242, USA
| | - Prathish K. Rajaraman
- IIHR—Hydroscience & Engineering, University of Iowa, Iowa City, IA 52242, USA
- Department of Mechanical Engineering, University of Iowa, Iowa City, IA 52242, USA
| | - Chang-Hyun Lee
- Department of Radiology, University of Iowa, Iowa City, IA 52242, USA
- Department of Radiology, College of Medicine, Seoul National University, Seoul 100-011, Korea
| | - Hongseok Ko
- Department of Radiology, Kangwon National University Hospital, Chuncheon 200-010, Korea
| | - Kum-Ju Chae
- Department of Radiology, Jeonbuk National University Hospital, Jeonju 560-011, Korea
| | - Eun-Kee Park
- Department of Medical Humanities and Social Medicine, College of Medicine, Kosin University, Busan 600-011, Korea
| | | | - Eric A. Hoffman
- Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, IA 52242, USA
- Department of Radiology, University of Iowa, Iowa City, IA 52242, USA
- Department of Internal Medicine, University of Iowa, Iowa City, IA 52242, USA
| | - Ching-Long Lin
- Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, IA 52242, USA
- IIHR—Hydroscience & Engineering, University of Iowa, Iowa City, IA 52242, USA
- Department of Mechanical Engineering, University of Iowa, Iowa City, IA 52242, USA
- Department of Radiology, University of Iowa, Iowa City, IA 52242, USA
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14
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Ohno Y, Akino N, Fujisawa Y, Kimata H, Ito Y, Fujii K, Kataoka Y, Ida Y, Oshima Y, Hamabuchi N, Shigemura C, Watanabe A, Obama Y, Hanamatsu S, Ueda T, Ikeda H, Murayama K, Toyama H. Comparison of lung CT number and airway dimension evaluation capabilities of ultra-high-resolution CT, using different scan modes and reconstruction methods including deep learning reconstruction, with those of multi-detector CT in a QIBA phantom study. Eur Radiol 2022; 33:368-379. [PMID: 35841417 DOI: 10.1007/s00330-022-08983-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 06/05/2022] [Accepted: 06/22/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVE Ultra-high-resolution CT (UHR-CT), which can be applied normal resolution (NR), high-resolution (HR), and super-high-resolution (SHR) modes, has become available as in conjunction with multi-detector CT (MDCT). Moreover, deep learning reconstruction (DLR) method, as well as filtered back projection (FBP), hybrid-type iterative reconstruction (IR), and model-based IR methods, has been clinically used. The purpose of this study was to directly compare lung CT number and airway dimension evaluation capabilities of UHR-CT using different scan modes with those of MDCT with different reconstruction methods as investigated in a lung density and airway phantom design recommended by QIBA. MATERIALS AND METHODS Lung CT number, inner diameter (ID), inner area (IA), and wall thickness (WT) were measured, and mean differences between measured CT number, ID, IA, WT, and standard reference were compared by means of Tukey's HSD test between all UHR-CT data and MDCT reconstructed with FBP as 1.0-mm section thickness. RESULTS For each reconstruction method, mean differences in lung CT numbers and all airway parameters on 0.5-mm and 1-mm section thickness CTs obtained with SHR and HR modes showed significant differences with those obtained with the NR mode on UHR-CT and MDCT (p < 0.05). Moreover, the mean differences on all UHR-CTs obtained with SHR, HR, or NR modes were significantly different from those of 1.0-mm section thickness MDCTs reconstructed with FBP (p < 0.05). CONCLUSION Scan modes and reconstruction methods used for UHR-CT were found to significantly affect lung CT number and airway dimension evaluations as did reconstruction methods used for MDCT. KEY POINTS • Scan and reconstruction methods used for UHR-CT showed significantly higher CT numbers and smaller airway dimension evaluations as did those for MDCT in a QIBA phantom study (p < 0.05). • Mean differences in lung CT number for 0.25-mm, 0.5-mm, and 1.0-mm section thickness CT images obtained with SHR and HR modes were significantly larger than those for CT images at 1.0-mm section thickness obtained with MDCT and reconstructed with FBP (p < 0.05). • Mean differences in inner diameter (ID), inner area (IA), and wall thickness (WT) measured with SHR and HR modes on 0.5- and 1.0-mm section thickness CT images were significantly smaller than those obtained with NR mode on UHR-CT and MDCT (p < 0.05).
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Affiliation(s)
- Yoshiharu Ohno
- Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan. .,Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
| | - Naruomi Akino
- Canon Medical Systems Corporation, Otawara, Tochigi, Japan
| | | | - Hirona Kimata
- Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - Yuya Ito
- Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - Kenji Fujii
- Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - Yumi Kataoka
- Department of Radiology, Fujita Health University Hospital, Toyoake, Aichi, Japan
| | - Yoshihiro Ida
- Department of Radiology, Fujita Health University Hospital, Toyoake, Aichi, Japan
| | - Yuka Oshima
- Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan
| | - Nayu Hamabuchi
- Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan
| | - Chika Shigemura
- Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan
| | - Ayumi Watanabe
- Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan
| | - Yuki Obama
- Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan
| | - Satomu Hanamatsu
- Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan
| | - Takahiro Ueda
- Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan
| | - Hirotaka Ikeda
- Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan
| | - Kazuhiro Murayama
- Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - Hiroshi Toyama
- Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan
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15
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Stanojevic S, Kaminsky DA, Miller MR, Thompson B, Aliverti A, Barjaktarevic I, Cooper BG, Culver B, Derom E, Hall GL, Hallstrand TS, Leuppi JD, MacIntyre N, McCormack M, Rosenfeld M, Swenson ER. ERS/ATS technical standard on interpretive strategies for routine lung function tests. Eur Respir J 2022; 60:2101499. [PMID: 34949706 DOI: 10.1183/13993003.01499-2021] [Citation(s) in RCA: 319] [Impact Index Per Article: 159.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 11/18/2021] [Indexed: 01/21/2023]
Abstract
BACKGROUND Appropriate interpretation of pulmonary function tests (PFTs) involves the classification of observed values as within/outside the normal range based on a reference population of healthy individuals, integrating knowledge of physiological determinants of test results into functional classifications and integrating patterns with other clinical data to estimate prognosis. In 2005, the American Thoracic Society (ATS) and European Respiratory Society (ERS) jointly adopted technical standards for the interpretation of PFTs. We aimed to update the 2005 recommendations and incorporate evidence from recent literature to establish new standards for PFT interpretation. METHODS This technical standards document was developed by an international joint Task Force, appointed by the ERS/ATS with multidisciplinary expertise in conducting and interpreting PFTs and developing international standards. A comprehensive literature review was conducted and published evidence was reviewed. RESULTS Recommendations for the choice of reference equations and limits of normal of the healthy population to identify individuals with unusually low or high results are discussed. Interpretation strategies for bronchodilator responsiveness testing, limits of natural changes over time and severity are also updated. Interpretation of measurements made by spirometry, lung volumes and gas transfer are described as they relate to underlying pathophysiology with updated classification protocols of common impairments. CONCLUSIONS Interpretation of PFTs must be complemented with clinical expertise and consideration of the inherent biological variability of the test and the uncertainty of the test result to ensure appropriate interpretation of an individual's lung function measurements.
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Affiliation(s)
- Sanja Stanojevic
- Dept of Community Health and Epidemiology, Dalhousie University, Halifax, NS, Canada
| | - David A Kaminsky
- Pulmonary Disease and Critical Care Medicine, University of Vermont Larner College of Medicine, Burlington, VT, USA
| | - Martin R Miller
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Bruce Thompson
- Physiology Service, Dept of Respiratory Medicine, The Alfred Hospital and School of Health Sciences, Swinburne University of Technology, Melbourne, Australia
| | - Andrea Aliverti
- Dept of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Milan, Italy
| | - Igor Barjaktarevic
- Division of Pulmonary and Critical Care Medicine, University of California, Los Angeles, CA, USA
| | - Brendan G Cooper
- Lung Function and Sleep, Queen Elizabeth Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Bruce Culver
- Dept of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, USA
| | - Eric Derom
- Dept of Respiratory Medicine, Ghent University, Ghent, Belgium
| | - Graham L Hall
- Children's Lung Health, Wal-yan Respiratory Research Centre, Telethon Kids Institute and School of Allied Health, Faculty of Health Science, Curtin University, Bentley, Australia
| | - Teal S Hallstrand
- Dept of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, USA
| | - Joerg D Leuppi
- University Clinic of Medicine, Cantonal Hospital Basel, Liestal, Switzerland
- University Clinic of Medicine, University of Basel, Basel, Switzerland
| | - Neil MacIntyre
- Division of Pulmonary, Allergy, and Critical Care Medicine, Dept of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Meredith McCormack
- Pulmonary Function Laboratory, Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, USA
| | | | - Erik R Swenson
- Dept of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, USA
- VA Puget Sound Health Care System, Seattle, WA, USA
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16
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Zeng S, Dunn M, Gold WM, Kizer JR, Arjomandi M. Remote exposure to secondhand tobacco smoke is associated with lower exercise capacity through effects on oxygen pulse, a proxy of cardiac stroke volume. BMJ Open Respir Res 2022; 9:e001217. [PMID: 35551073 PMCID: PMC9109127 DOI: 10.1136/bmjresp-2022-001217] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 04/22/2022] [Indexed: 11/04/2022] Open
Abstract
BACKGROUND Past exposure to secondhand tobacco smoke (SHS) is associated with exercise limitation. Pulmonary factors including air trapping contribute to this limitation but the contribution of cardiovascular factors is unclear. OBJECTIVE To determine the contribution of cardiovascular mechanisms to SHS-associated exercise limitation. METHODS We examined the cardiovascular responses to maximum-effort exercise in 245 never-smokers with remote, prolonged occupational exposure to SHS and no known history of cardiovascular disease. We estimated the contribution of oxygen-pulse (proxy for cardiac stroke volume) and changes in systolic blood pressures (SBP), diastolic blood pressures and heart rate (HR) towards exercise capacity, and examined whether the association of SHS with exercise capacity was mediated through these variables. RESULTS At peak exercise (highest workload completed (WattsPeak)=156±46 watts (135±33 %predicted)), oxygen consumption and oxygen-pulse (O2-PulsePeak) were 1557±476 mL/min (100±24 %predicted) and 11.0±3.0 mL/beat (116±25 %predicted), respectively, with 29% and 3% participants not achieving their predicted normal range. Oxygen saturation at peak exercise was 98%±1% and remained >93% in all participants. Sixty-six per cent showed hypertensive response to exercise. In models adjusted for covariates, WattsPeak was associated directly with O2-PulsePeak, HRPeak and SBPPeak and inversely with SHS, air trapping (residual volume/total lung capacity) and rise of SBP over workload (all p<0.01). Moreover, SHS exposure association with WattsPeak was substantially (41%) mediated through its effect on O2-PulsePeak (p=0.038). Although not statistically significant, a considerable proportion (36%) of air trapping effect on WattsPeak seemed to be mediated through O2-PulsePeak (p=0.078). The likelihood of having baseline respiratory symptoms (modified Medical Research Council score ≥1) was associated with steeper rise in SBP over workload (p<0.01). CONCLUSION In a never-smoker population with remote exposure to SHS, abnormal escalation of blood pressure and an SHS-associated reduction in cardiac output contributed to lower exercise capacity.
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Affiliation(s)
- Siyang Zeng
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA
- Pulmonary and Critical Care Section, San Francisco Veterans Affairs Health Care System, San Francisco, California, USA
| | - Michelle Dunn
- Pulmonary and Critical Care Section, San Francisco Veterans Affairs Health Care System, San Francisco, California, USA
| | - Warren M Gold
- Department of Medicine, University of California, San Francisco, California, USA
| | - Jorge R Kizer
- Department of Medicine, University of California, San Francisco, California, USA
- Cardiology Section, San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
| | - Mehrdad Arjomandi
- Pulmonary and Critical Care Section, San Francisco Veterans Affairs Health Care System, San Francisco, California, USA
- Department of Medicine, University of California, San Francisco, California, USA
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17
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Khan MMKS, Cole AG, Mannino DM. Precision medicine in chronic obstructive pulmonary disease: how far have we come? Curr Opin Pulm Med 2022; 28:115-120. [PMID: 34652296 DOI: 10.1097/mcp.0000000000000837] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE OF REVIEW In this review, we will discuss the current status and recent developments in precision medicine in chronic obstructive pulmonary disease (COPD) through the lens of treatable traits. RECENT FINDINGS Although the term 'treatable traits' in the treatment of COPD is relatively recent, this concept has been used for many years if one considers interventions such as long-term oxygen therapy or alpha-1 antitrypsin replacement therapy. Recent advances have included expanding the definition of COPD to include a broader population of people with lower respiratory disease but not meeting the strict criteria for obstruction, advances in imaging to aid in the diagnosis and treatment of COPD, advances in understanding symptoms and exacerbations to define severity, using biomarkers to guide therapy and better understanding and addressing polymorbidity and frailty. In addition, there is a concerted effort to use these concepts to identify COPD patients earlier in the disease process wherein disease modification may be possible. SUMMARY Focusing on subsets of patients with COPD with certain characteristics should lead to better outcomes and fewer adverse effects from treatment. VIDEO ABSTRACT http://links.lww.com/COPM/A30.
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18
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Lor KL, Chang YC, Yu CJ, Wang CY, Chen CM. Bullous Parametric Response Map for Functional Localization of COPD. J Digit Imaging 2022; 35:115-126. [PMID: 35018538 PMCID: PMC8921375 DOI: 10.1007/s10278-021-00561-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 11/27/2021] [Accepted: 12/01/2021] [Indexed: 11/26/2022] Open
Abstract
Advanced bronchoscopic lung volume reduction treatment (BLVR) is now a routine care option for treating patients with severe emphysema. Patterns of low attenuation clusters indicating emphysema and functional small airway disease (fSAD) on paired CT, which may provide additional insights to the target selection of the segmental or subsegmental lobe of the treatments, require further investigation. The low attenuation clusters (LACS) were segmented to identify the scalar and spatial distribution of the lung destructions, in terms of 10 fractions scales of low attenuation density (LAD) located in upper lobes and lower lobes. The LACs of functional small airway disease (fSAD) were delineated by applying the technique of parametric response map (PRM) on the co-registered CT image data. Both emphysematous LACs of inspiratory CT and fSAD LACs on expiratory CT were used to derive the coefficients of the predictive model for estimating the airflow limitation. The voxel-wise severity is then predicted using the regional LACs on the co-registered CT to indicate the functional localization, namely, the bullous parametric response map (BPRM). A total of 100 subjects, 88 patients with mild to very severe COPD and 12 control participants with normal lung functions (FEV1/FVC % > 70%), were evaluated. Pearson’s correlations between FEV1/FVC% and LAV%HU-950 of severe emphysema are − 0.55 comparing to − 0.67 and − 0.62 of LAV%HU-856 of air-trapping and LAV%fSAD respectively. Pearson’s correlation between FEV1/FVC% and FEV1/FVC% predicted by the proposed model using LAD% of HU-950 and fSAD on BPRM is 0.82 (p < 0.01). The result of the Bullous Parametric Response Map (BPRM) is capable of identifying the less functional area of the lung, where the BLVR treatment is aimed at removing from a hyperinflated area of emphysematous regions.
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Affiliation(s)
- Kuo-Lung Lor
- Department of Biomedical Engineering, National Taiwan University, Taipei, Taiwan
| | - Yeun-Chung Chang
- Department of Medical Imaging, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chong-Jen Yu
- Department of Internal Medicine, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Cheng-Yi Wang
- Department of Internal Medicine, College of Medicine, Cardinal Tien Hospital and School of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
| | - Chung-Ming Chen
- Department of Biomedical Engineering, National Taiwan University, Taipei, Taiwan
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19
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Thomashow BM, Mannino DM, Tal-Singer R, Crapo JD. A rapidly changing understanding of COPD: World COPD Day from the COPD Foundation. Am J Physiol Lung Cell Mol Physiol 2021; 321:L983-L987. [PMID: 34612086 DOI: 10.1152/ajplung.00400.2021] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
World COPD Day raises awareness about chronic obstructive pulmonary disease (COPD). COPD accounts for over 150,000 US deaths per year. A major challenge is that COPD receives only a fraction of the research funding provided to other major diseases. Control of COPD is dependent on developing new approaches to diagnose the disease earlier with a recognition of either pre-COPD or established COPD based on symptoms, lung structural change and/or loss of lung function that occurs before meeting long established criteria for a population-based definition of obstruction. Optimization of current therapies improves lung function, exercise capacity, quality of life, and survival. New pathways of disease progression are being identified creating new opportunities for development of therapies that could stop or cure this disease.
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Affiliation(s)
- Byron M Thomashow
- COPD Foundation, Miami, Florida.,Department of Medicine, Columbia University, New York, New York
| | - David M Mannino
- COPD Foundation, Miami, Florida.,Department of Medicine, University of Kentucky College of Medicine, Lexington, Kentucky
| | | | - James D Crapo
- COPD Foundation, Miami, Florida.,Department of Medicine, National Jewish Health, Denver, Colorado
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20
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Actigraphy informs distinct patient-centered outcomes in Pre-COPD. Respir Med 2021; 187:106543. [PMID: 34496341 DOI: 10.1016/j.rmed.2021.106543] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 07/14/2021] [Accepted: 07/15/2021] [Indexed: 11/19/2022]
Abstract
BACKGROUND Actigraphy can provide useful patient-centered outcomes for quantification of physical activity in the "real-world" setting. METHODS To characterize the relationship of actigraphy outputs with "in-laboratory" measures of cardiopulmonary function and respiratory symptoms in pre-COPD, we obtained actigraphy data for 8 h/day for 5 consecutive days a week before in-laboratory administration of respiratory questionnaires, PFT, and CPET to a subgroup of subjects participating in the larger study of the health effects of exposure to secondhand tobacco smoke who had air trapping but no spirometric obstruction (pre-COPD). Using machine learning approaches, we identified the most relevant actigraphy predictors and examined their associations with symptoms, lung function, and exercise outcomes. RESULTS Sixty-one subjects (age = 66±7 years; BMI = 24±3 kg/m2; FEV1/FVC = 0.75 ± 0.05; FEV1 = 103 ± 17 %predicted) completed the nested study. In the hierarchical cluster analysis, the activity, distance, and energy domains of actigraphy, including moderate to vigorous physical activity, were closely correlated with each other, but were only loosely associated with spirometric and peak exercise measures of oxygen consumption, ventilation, oxygen-pulse, and anaerobic threshold (VO2AT), and were divergent from symptom measures. Conversely, the sedentary domain clustered with respiratory symptoms, air trapping, airflow indices, and ventilatory efficiency. In Regression modeling, sedentary domain was inversely associated with baseline lung volumes and tidal breathing at peak exercise, while the activity domains were associated with VO2AT. Respiratory symptoms and PFT data were not associated with actigraphy outcomes. DISCUSSION Outpatient actigraphy can provide information for "real-world" patient-centered outcomes that are not captured by standardized respiratory questionnaires, lung function, or exercise testing. Actigraphy activity and sedentary domains inform of distinct outcomes.
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21
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Li T, Zhou HP, Zhou ZJ, Guo LQ, Zhou L. Computed tomography-identified phenotypes of small airway obstructions in chronic obstructive pulmonary disease. Chin Med J (Engl) 2021; 134:2025-2036. [PMID: 34517376 PMCID: PMC8440009 DOI: 10.1097/cm9.0000000000001724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Indexed: 12/02/2022] Open
Abstract
ABSTRACT Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease characteristic of small airway inflammation, obstruction, and emphysema. It is well known that spirometry alone cannot differentiate each separate component. Computed tomography (CT) is widely used to determine the extent of emphysema and small airway involvement in COPD. Compared with the pulmonary function test, small airway CT phenotypes can accurately reflect disease severity in patients with COPD, which is conducive to improving the prognosis of this disease. CT measurement of central airway morphology has been applied in clinical, epidemiologic, and genetic investigations as an inference of the presence and severity of small airway disease. This review will focus on presenting the current knowledge and methodologies in chest CT that aid in identifying discrete COPD phenotypes.
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Affiliation(s)
- Tao Li
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu 210029, China
- Department of Respiratory Medicine, Xuzhou First People's Hospital, Xuzhou, Jiangsu 221116, China
| | - Hao-Peng Zhou
- Department of Medicine, Jiangsu University School of Medicine, Zhenjiang, Jiangsu 212013, China
| | - Zhi-Jun Zhou
- Institute of Radio Frequency & Optical Electronics-Integrated Circuits, School of Information and Engineering, Southeast University, Nanjing, Jiangsu 210096, China
| | - Li-Quan Guo
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China
| | - Linfu Zhou
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu 210029, China
- Institute of Integrative Medicine, Nanjing Medical University, Nanjing, Jiangsu 210029, China
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22
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Li F, Choi J, Zou C, Newell JD, Comellas AP, Lee CH, Ko H, Barr RG, Bleecker ER, Cooper CB, Abtin F, Barjaktarevic I, Couper D, Han M, Hansel NN, Kanner RE, Paine R, Kazerooni EA, Martinez FJ, O'Neal W, Rennard SI, Smith BM, Woodruff PG, Hoffman EA, Lin CL. Latent traits of lung tissue patterns in former smokers derived by dual channel deep learning in computed tomography images. Sci Rep 2021; 11:4916. [PMID: 33649381 PMCID: PMC7921389 DOI: 10.1038/s41598-021-84547-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Accepted: 02/15/2021] [Indexed: 11/30/2022] Open
Abstract
Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease and the traditional variables extracted from computed tomography (CT) images may not be sufficient to describe all the topological features of lung tissues in COPD patients. We employed an unsupervised three-dimensional (3D) convolutional autoencoder (CAE)-feature constructor (FC) deep learning network to learn from CT data and derive tissue pattern-clusters jointly. We then applied exploratory factor analysis (EFA) to discover the unobserved latent traits (factors) among pattern-clusters. CT images at total lung capacity (TLC) and residual volume (RV) of 541 former smokers and 59 healthy non-smokers from the cohort of the SubPopulations and Intermediate Outcome Measures in the COPD Study (SPIROMICS) were analyzed. TLC and RV images were registered to calculate the Jacobian (determinant) values for all the voxels in TLC images. 3D Regions of interest (ROIs) with two data channels of CT intensity and Jacobian value were randomly extracted from training images and were fed to the 3D CAE-FC model. 80 pattern-clusters and 7 factors were identified. Factor scores computed for individual subjects were able to predict spirometry-measured pulmonary functions. Two factors which correlated with various emphysema subtypes, parametric response mapping (PRM) metrics, airway variants, and airway tree to lung volume ratio were discriminants of patients across all severity stages. Our findings suggest the potential of developing factor-based surrogate markers for new COPD phenotypes.
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Affiliation(s)
- Frank Li
- Department of Biomedical Engineering, University of Iowa, Iowa City, IA, USA
- IIHR-Hydroscience and Engineering, 2406 Seamans Center for the Engineering Art and Science, University of Iowa, Iowa City, IA, 52242, USA
| | - Jiwoong Choi
- Department of Mechanical Engineering, University of Iowa, Iowa City, IA, USA
- Department of Internal Medicine, School of Medicine, University of Kansas, Kansas City, KS, USA
| | - Chunrui Zou
- IIHR-Hydroscience and Engineering, 2406 Seamans Center for the Engineering Art and Science, University of Iowa, Iowa City, IA, 52242, USA
- Department of Mechanical Engineering, University of Iowa, Iowa City, IA, USA
| | - John D Newell
- Department of Radiology, University of Iowa, Iowa City, IA, USA
| | | | - Chang Hyun Lee
- Department of Radiology, University of Iowa, Iowa City, IA, USA
- Department of Radiology, Seoul National University, Seoul, Republic of Korea
| | - Hongseok Ko
- Department of Radiology, Chungnam National University Sejong Hospital, Sejong, Republic of Korea
| | - R Graham Barr
- Mailman School of Public Health, Columbia University, New York, NY, USA
| | | | | | | | | | - David Couper
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
| | - MeiLan Han
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | | | | | - Robert Paine
- School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Ella A Kazerooni
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | | | - Wanda O'Neal
- School of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Stephen I Rennard
- Department of Internal Medicine, University of Nebraska College of Medicine, Omaha, NE, USA
| | - Benjamin M Smith
- Department of Medicine, Columbia University, New York, NY, USA
- Research Institute, McGill University Health Center, Montreal, Canada
| | | | - Eric A Hoffman
- Department of Biomedical Engineering, University of Iowa, Iowa City, IA, USA
- Department of Radiology, University of Iowa, Iowa City, IA, USA
- Department of Internal Medicine, University of Iowa, Iowa City, IA, USA
| | - Ching-Long Lin
- Department of Biomedical Engineering, University of Iowa, Iowa City, IA, USA.
- IIHR-Hydroscience and Engineering, 2406 Seamans Center for the Engineering Art and Science, University of Iowa, Iowa City, IA, 52242, USA.
- Department of Mechanical Engineering, University of Iowa, Iowa City, IA, USA.
- Department of Radiology, University of Iowa, Iowa City, IA, USA.
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23
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Fortis S, Comellas AP, Bhatt SP, Hoffman EA, Han MK, Bhakta NR, Paine R, Ronish B, Kanner RE, Dransfield M, Hoesterey D, Buhr RG, Barr RG, Dolezal B, Ortega VE, Drummond MB, Arjomandi M, Kaner RJ, Kim V, Curtis JL, Bowler RP, Martinez F, Labaki WW, Cooper CB, O'Neal WK, Criner G, Hansel NN, Krishnan JA, Woodruff P, Couper D, Tashkin D, Barjaktarevic I. Ratio of FEV 1/Slow Vital Capacity of < 0.7 Is Associated With Clinical, Functional, and Radiologic Features of Obstructive Lung Disease in Smokers With Preserved Lung Function. Chest 2021; 160:94-103. [PMID: 33539837 DOI: 10.1016/j.chest.2021.01.067] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 12/27/2020] [Accepted: 01/04/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Mild expiratory flow limitation may not be recognized using traditional spirometric criteria based on the ratio of FEV1/FVC. RESEARCH QUESTION Does slow vital capacity (SVC) instead of FVC increase the sensitivity of spirometry to identify patients with early or mild obstructive lung disease? STUDY DESIGN AND METHODS We included 854 current and former smokers from the Subpopulations and Intermediate Outcome Measures in COPD Study cohort with a postbronchodilator FEV1/FVC ≥ 0.7 and FEV1 % predicted of ≥ 80% at enrollment. We compared baseline characteristics, chest CT scan features, exacerbations, and progression to COPD (postbronchodilator FEV1/FVC, < 0.7) during the follow-up period between 734 participants with postbronchodilator FEV1/SVC of ≥ 0.7 and 120 with postbronchodilator FEV1/SVC < 0.7 at the enrollment. We performed multivariate linear and logistic regression models and negative binomial and interval-censored proportion hazards regression models adjusted for demographics and smoking exposure to examine the association of FEV1/SVC < 0.7 with those characteristics and outcomes. RESULTS Participants with FEV1/SVC < 0.7 were older and had lower FEV1 and more emphysema than those with FEV1/SVC ≥ 0.7. In adjusted analysis, individuals with postbronchodilator FEV1/SVC < 0.7 showed a greater percentage of emphysema by 0.45% (95% CI, 0.09%-0.82%), percentage of gas trapping by 2.52% (95% CI, 0.59%-4.44%), and percentage of functional small airways disease based on parametric response mapping by 2.78% (95% CI, 0.72%-4.83%) at baseline than those with FEV1/SVC ≥ 0.7. During a median follow-up time of 1,500 days, an FEV1/SVC < 0.7 was not associated with total exacerbations (incident rate ratio [IRR], 1.61; 95% CI, 0.97-2.64), but was associated with severe exacerbations (IRR, 2.60; 95% CI, 1.04-4.89). An FEV1/SVC < 0.7 was associated with progression to COPD during a 3-year follow-up even after adjustment for demographics and smoking exposure (hazard ratio, 3.93; 95% CI, 2.71-5.72). We found similar results when we examined the association of prebronchodilator FEV1/SVC < 0.7 or FEV1/SVC less than the lower limit of normal with chest CT scan features and progression to COPD. INTERPRETATION Low FEV1 to SVC in current and former smokers with normal spirometry results can identify individuals with CT scan features of COPD who are at risk for severe exacerbations and is associated with progression to COPD in the future. TRIAL REGISTRY ClinicalTrials.gov; No.: NCT01969344T4; URL: www.clinicaltrials.gov.
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Affiliation(s)
- Spyridon Fortis
- Center for Access & Delivery Research & Evaluation (CADRE), Iowa City VA Health Care System, Iowa City, IA.
| | - Alejandro P Comellas
- Department of Internal Medicine, Division of Pulmonary, Critical Care and Occupation Medicine, University of Iowa Roy J. and Lucille A. Carver College of Medicine, Iowa City, IA
| | - Surya P Bhatt
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Eric A Hoffman
- Departments of Radiology, Biomedical Engineering and Medicine, University of Iowa, Iowa City, IA
| | - MeiLan K Han
- Department of Medicine, University of Michigan, Ann Arbor, MI
| | - Nirav R Bhakta
- Department of Medicine, University of California, San Francisco, CA
| | - Robert Paine
- Department of Pulmonary Medicine, University of Utah, Salt Lake City, UT
| | - Bonnie Ronish
- Department of Pulmonary Medicine, University of Utah, Salt Lake City, UT
| | - Richard E Kanner
- Department of Pulmonary Medicine, University of Utah, Salt Lake City, UT
| | - Mark Dransfield
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL; Division of Pulmonary and Critical Care Medicine, Birmingham VA Medical Center, Birmingham, AL
| | - Daniel Hoesterey
- Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine at the University of California, Los Angeles, CA
| | - Russell G Buhr
- Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine at the University of California, Los Angeles, CA; Department of Medicine, Greater Los Angeles Veterans Affairs Healthcare System, Los Angeles, CA
| | - R Graham Barr
- Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, NY
| | - Brett Dolezal
- Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine at the University of California, Los Angeles, CA
| | - Victor E Ortega
- Department of Internal Medicine, Section on Pulmonary, Critical Care, Allergy, and Immunologic Diseases, Wake Forest School of Medicine, Winston-Salem, NC
| | - M Bradley Drummond
- Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Mehrdad Arjomandi
- Department of Medicine, University of California, San Francisco, CA; San Francisco Veterans Affairs Healthcare System, San Francisco, CA
| | - Robert J Kaner
- Departments of Medicine and Genetic Medicine, Weill Cornell Medicine, New York, NY
| | - Victor Kim
- Department of Thoracic Medicine and Surgery, Lewis Katz School of Medicine at Temple University, Philadelphia, PA
| | - Jeffrey L Curtis
- Department of Medicine, University of Michigan, Ann Arbor, MI; Medicine Service, VA Ann Arbor Healthcare System, Ann Arbor, MI
| | - Russell P Bowler
- Department of Medicine, National Jewish Medical and Research Center, Denver, CO
| | - Fernando Martinez
- Departments of Medicine and Genetic Medicine, Weill Cornell Medicine, New York, NY
| | - Wassim W Labaki
- Department of Medicine, University of Michigan, Ann Arbor, MI
| | - Christopher B Cooper
- Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine at the University of California, Los Angeles, CA; Department of Physiology, David Geffen School of Medicine, University of California, Los Angeles, CA; Division of Pulmonary and Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, MD
| | - Wanda K O'Neal
- Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Gerald Criner
- Department of Thoracic Medicine and Surgery, Lewis Katz School of Medicine at Temple University, Philadelphia, PA
| | - Nadia N Hansel
- Department of Physiology, David Geffen School of Medicine, University of California, Los Angeles, CA
| | - Jerry A Krishnan
- Division of Pulmonary, Critical Care, Sleep, and Allergy, University of Illinois at Chicago, Chicago, IL
| | | | - David Couper
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC
| | - Donald Tashkin
- Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine at the University of California, Los Angeles, CA
| | - Igor Barjaktarevic
- Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine at the University of California, Los Angeles, CA
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24
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Laucho-Contreras ME, Cohen-Todd M. Early diagnosis of COPD: myth or a true perspective. Eur Respir Rev 2020; 29:29/158/200131. [PMID: 33268437 PMCID: PMC9489086 DOI: 10.1183/16000617.0131-2020] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2020] [Accepted: 07/07/2020] [Indexed: 01/09/2023] Open
Abstract
The early stages of COPD have recently become a hot topic as many new risk factors have been proposed, but substantial knowledge gaps remain in explaining the natural history of the disease. If we are to modify the outcomes of COPD, early detection needs to play a critical role. However, we need to sort out the barriers to early detection and have a better understanding of the definition of COPD and its diagnosis and therapeutic strategies to identify and treat patients with COPD before structural changes progress. In this review, we aim to clarify the differences between early COPD, mild COPD and early detection of COPD, with an emphasis on the clinical burden and how different outcomes (quality of life, exacerbation, cost and mortality) are modified depending on which definition is used. We will summarise the evidence for the new multidimensional diagnostic approaches to detecting early pathophysiologic changes that potentially allow for future studies on COPD management strategies to halt or prevent disease development.
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Affiliation(s)
- Maria Eugenia Laucho-Contreras
- Fundación Neumológica Colombiana, Bogota, Colombia,GlaxoSmithKline, Bogota, Colombia,Maria Eugenia Laucho-Contreras, Fundación Neumológica Colombiana, Kra. 13b #161-85, Bogota 110111, Colombia. E-mail:
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25
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Choi JY, Rhee CK. Diagnosis and Treatment of Early Chronic Obstructive Lung Disease (COPD). J Clin Med 2020; 9:jcm9113426. [PMID: 33114502 PMCID: PMC7692717 DOI: 10.3390/jcm9113426] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 10/23/2020] [Accepted: 10/23/2020] [Indexed: 12/16/2022] Open
Abstract
Chronic obstructive lung disease (COPD) is responsible for substantial rates of mortality and economic burden, and is one of the most important public-health concerns. As the disease characteristics include irreversible airway obstruction and progressive lung function decline, there has been a great deal of interest in detection at the early stages of COPD during the “at risk” or undiagnosed preclinical stage to prevent the disease from progressing to the overt stage. Previous studies have used various definitions of early COPD, and the term mild COPD has also often been used. There has been a great deal of recent effort to establish a definition of early COPD, but comprehensive evaluation is still required, including identification of risk factors, various physiological and radiological tests, and clinical manifestations for diagnosis of early COPD, considering the heterogeneity of the disease. The treatment of early COPD should be considered from the perspective of prevention of disease progression and management of clinical deterioration. There has been a lack of studies on this topic as the definition of early COPD has been proposed only recently, and therefore further clinical studies are needed.
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Affiliation(s)
- Joon Young Choi
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Incheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea;
| | - Chin Kook Rhee
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea
- Correspondence: ; Tel.: +82-2-2258-6067; Fax: +82-2-599-3589
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Llordés M, Jaen A, Zurdo E, Roca M, Vazquez I, Almagro P. <p>Letter to the Editor, International Journal of COPD [Response to Letter]</p>. Int J Chron Obstruct Pulmon Dis 2020; 15:2465-2466. [PMID: 33116462 PMCID: PMC7568588 DOI: 10.2147/copd.s284309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 09/28/2020] [Indexed: 11/23/2022] Open
Affiliation(s)
- Montserrat Llordés
- Terrassa Sud Primary Care Center, Hospital Universitari Mutua Terrassa, University of Barcelona, Barcelona, Spain
- Correspondence: Montserrat Llordés Terrassa Sud Primary Care Center, Hospital Universitari Mutua Terrassa, Avenida Santa Eulalia s/n, Terrassa, Barcelona08223, SpainTel +34 93 785 51 61Fax +34 93 731 49 52 Email
| | - Angeles Jaen
- Fundació Docència i Recerca Mutua Terrassa, Barcelona, Spain
| | - Elba Zurdo
- Terrassa Sud Primary Care Center, Hospital Universitari Mutua Terrassa, University of Barcelona, Barcelona, Spain
| | - Montserrat Roca
- Terrassa Sud Primary Care Center, Hospital Universitari Mutua Terrassa, University of Barcelona, Barcelona, Spain
| | - Inmaculada Vazquez
- Terrassa Sud Primary Care Center, Hospital Universitari Mutua Terrassa, University of Barcelona, Barcelona, Spain
| | - Pere Almagro
- Internal Medicine Service, Hospital Universitari Mutua Terrassa, University of Barcelona, Barcelona, Spain
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Llordés M, Jaen A, Zurdo E, Roca M, Vazquez I, Almagro P. Fixed Ratio versus Lower Limit of Normality for Diagnosing COPD in Primary Care: Long-Term Follow-Up of EGARPOC Study. Int J Chron Obstruct Pulmon Dis 2020; 15:1403-1413. [PMID: 32606649 PMCID: PMC7308128 DOI: 10.2147/copd.s250720] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Accepted: 05/24/2020] [Indexed: 11/23/2022] Open
Abstract
Purpose The best criterion for diagnosing airway obstruction in COPD, fixed ratio (FR: FEV1/FVC<0.7) or lower limit of normality (LLN), remains controversial. We compared the long-term evolution of COPD patients according to the initial obstruction criteria. Patients and Methods Between 2005 and 2008, we evaluated 1728 subjects over 45 years of age with smoking history, pertaining to a primary care center. A total of 424 patients were obstructive by FR, after a bronchodilator test. Of those, 289 patients met obstruction criteria for both FR and LLN and were considered concordant patients (FR+LLN+), while 135 patients were obstructive by FR but non-obstructive by LLN and were defined as discordant patients (FR+LLN-). Results Forty-eight patients (11.3%) were lost in follow-up, and 158 died (37.3%). After a median time of 120.4 months (IQR 25–75%: 110.2–128.8), 215 patients were spirometrically reevaluated. The annualized loss of FEV1/FVC was greater in discordant (FR+LLN-) patients [0.54 (0.8) vs 0.82 (0.7); p = 0.008], while 81% became concordant (FR+LLN+) during the follow-up. Hospitalization for COPD exacerbations was more frequent in concordant (FR+LLN+) patients (1.57±3.51 vs 0.77±2.29; p = 0.002). Adjusting for age, concordant (FR+LLN+) patients had greater COPD mortality (HR: 2.97; CI 95%: 1.27–7.3; p = 0.02). Conclusion LLN seems to be less useful for COPD diagnosis in primary care. Discordant (FR+LLN-) patients lost more FEV1/FVC during their evolution and tended to become concordant. LLN predicted COPD hospitalizations and mortality more poorly.
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Affiliation(s)
- Montserrat Llordés
- Terrassa Sud Primary Care Center, Hospital Universitari Mutua Terrassa, University of Barcelona, Barcelona, Spain
| | - Angeles Jaen
- Fundació Docència i Recerca Mutua Terrassa, Barcelona, Spain
| | - Elba Zurdo
- Terrassa Sud Primary Care Center, Hospital Universitari Mutua Terrassa, University of Barcelona, Barcelona, Spain
| | - Montserrat Roca
- Terrassa Sud Primary Care Center, Hospital Universitari Mutua Terrassa, University of Barcelona, Barcelona, Spain
| | - Inmaculada Vazquez
- Terrassa Sud Primary Care Center, Hospital Universitari Mutua Terrassa, University of Barcelona, Barcelona, Spain
| | - Pere Almagro
- Internal Medicine Service, Hospital Universitari Mutua Terrassa, University of Barcelona, Barcelona, Spain
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Low FVC/TLC in Preserved Ratio Impaired Spirometry (PRISm) is associated with features of and progression to obstructive lung disease. Sci Rep 2020; 10:5169. [PMID: 32198360 PMCID: PMC7083974 DOI: 10.1038/s41598-020-61932-0] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Accepted: 02/17/2020] [Indexed: 11/09/2022] Open
Abstract
One quarter of individuals with Preserved Ratio Impaired Spirometry (PRISm) will develop airflow obstruction, but there are no established methods to identify these individuals. We examined the utility of FVC/TLC in identifying features of obstructive lung disease. The ratio of post-bronchodilator FVC and TLCCT from chest CT (FVC/TLCCT) among current and former smokers with PRISm (FEV1/FVC ≥ 0.7 and FEV1 < 80%) in COPDGene was used to stratify subjects into quartiles: very high, high, low, and very low. We examined the associations between FVC/TLCCT quartiles and (1) baseline characteristics, (2) respiratory exacerbations, (3) progression to COPD at 5 years, and (4) all-cause mortality. Among participants with PRISm at baseline (n = 1,131), the very low FVC/TLCCT quartile was associated with increased gas trapping and emphysema, and higher rates of progression to COPD at 5 years (36% versus 17%; p < 0.001) relative to the very high quartile. The very low FVC/TLCCT quartile was associated with increased total (IRR = 1.65; 95% CI [1.07–2.54]) and severe (IRR = 2.24; 95% CI [1.29–3.89]) respiratory exacerbations. Mortality was lower in the very high FVC/TLCCT quartile relative to the other quartiles combined. Reduced FVC/TLCCT ratio in PRISm is associated with increased symptoms, radiographic emphysema and gas trapping, exacerbations, and progression to COPD.
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Abstract
The GOLD 2020 updates added more lucidity on the treatment of COPD. However, few diagnostic dilemmas still exist. Research is needed on the use of the CAT score in assessing symptoms for the diagnosis of COPD. Further work-up is needed on diagnostic instability of spirometry, and diagnostic role of the lower limit of normal (LLN) criteria, slow vital capacity (FEV1/VC), forced inspiratory vital capacity (FEV1/FIVC), and rapid FEV1 decline. Incorporating parameters of lung hyperinflation and exercise capacity in the COPD diagnostic criteria might add value in its diagnosis and management. GOLD's approach towards routine CT imaging needs to be reviewed. Establishing a "pre-COPD" stage can be helpful in the early diagnosis and intervention to reduce the rapid lung function decline among at-risk individuals. The use of mMRC score as a surrogate to assess the overall severity of COPD related symptoms should be reviewed. The therapeutic guidance role of sputum eosinophils should be studied in patients with intermediate and low blood eosinophil counts.
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Affiliation(s)
- Sateesh Sakhamuri
- Department of Clinical Medical Sciences, The University of the West Indies, St. Augustine, Trinidad and Tobago
| | - Terence Seemungal
- Faculty of Medical Sciences, Eric Williams Medical Sciences Complex, The University of the West Indies, St. Augustine, Trinidad and Tobago
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Madan A, Turner AM. Identifying the at risk smokers: who goes on to get COPD? Eur Respir J 2019; 54:54/4/1901613. [PMID: 31672906 DOI: 10.1183/13993003.01613-2019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Accepted: 08/16/2019] [Indexed: 11/05/2022]
Affiliation(s)
- Arina Madan
- University Hospitals Birmingham, Heartlands Hospital, Birmingham, UK
| | - Alice M Turner
- University Hospitals Birmingham, Heartlands Hospital, Birmingham, UK .,Institute of Applied Health Research, University of Birmingham, Birmingham, UK
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31
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Young KA, Strand M, Ragland MF, Kinney GL, Austin EE, Regan EA, Lowe KE, Make BJ, Silverman EK, Crapo JD, Hokanson JE. Pulmonary Subtypes Exhibit Differential Global Initiative for Chronic Obstructive Lung Disease Spirometry Stage Progression: The COPDGene® Study. CHRONIC OBSTRUCTIVE PULMONARY DISEASES-JOURNAL OF THE COPD FOUNDATION 2019; 6:414-429. [PMID: 31710796 DOI: 10.15326/jcopdf.6.5.2019.0155] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Rationale We classified individuals into pulmonary disease subtypes based on 2 underlying pathophysiologic disease axes (airway-predominant and emphysema-predominant) and their increased mortality risk. Our next objective was to determine whether some subcomponents of these subtypes are additionally associated with unique patterns of Global initiative for chronic Obstructive Lung Disease (GOLD) spirometry stage progression. Methods After accounting for intra-individual measurement variability in spirometry measures between baseline (Phase 1) and the 5-year follow up (Phase 2) of the COPD Genetic Epidemiology (COPDGene®) study, 4615 individuals had complete data that would characterize patterns of disease progression over 5 years (2033 non-Hispanic whites; 827 African Americans; 48% female). Individuals could express increased risk for mortality on one or both of the primary subtype axes (airway-predominant or emphysema-predominant) and thus they were further classified into 6 groups: high-risk airway-predominant disease only (APD-only), moderate-risk airway-predominant disease only (MR-APD-only), high-risk emphysema-predominant disease only (EPD-only), combined high-risk airway- and emphysema-predominant disease (combined APD-EPD), combined moderate-risk airway- and emphysema-predominant disease (combined MR-APD-EPD), and no high-risk pulmonary subtype. Outcomes were dichotomized for GOLD spirometry stage progression from Phase 1 to Phase 2. Logistic regression of the progression outcomes on the pulmonary subtypes were adjusted for age, sex, race, and change in smoking status. Results The MR-APD-only group was associated with conversion from GOLD 0 to preserved ratio-impaired spirometry (PRISm) status (odds ratio [OR] 11.3, 95% confidence interval [CI] 5.7-22.1) and GOLD 0 to GOLD 2-4 (OR 6.0, 95% CI 2.0-18.0). The EPD-only group was associated with conversion from GOLD 0 to GOLD 1 (OR 2.4, 95% CI 1.2-4.6), and GOLD 1 to GOLD 2-4 (OR 2.6, 95% CI 1.0-6.9). Conversion between PRISm and GOLD 2-4 (31%-38%) occurred in both the APD-only and the MR-APD-only groups. Conclusion Differential conversion occurs from GOLD 0 to PRISm and GOLD 0 to GOLD 1 based on groups expressing airway-predominant disease or emphysema-predominant disease independently or in combination. Airway-predominant and emphysema-predominant subtypes are highly important in determining patterns of early disease progression.
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Affiliation(s)
- Kendra A Young
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora
| | - Mathew Strand
- Division of Biostatistics and Bioinformatics, Office of Academic Affairs, National Jewish Health, Denver, Colorado
| | - Margaret F Ragland
- Department of Pulmonary Sciences and Critical Care Medicine, University of Colorado School of Medicine, Aurora
| | - Gregory L Kinney
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora
| | - Erin E Austin
- Department of Mathematical and Statistical Sciences, University of Colorado at Denver
| | | | - Katherine E Lowe
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora
| | - Barry J Make
- Department of Medicine, National Jewish Health, Denver, Colorado
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - James D Crapo
- Department of Medicine, National Jewish Health, Denver, Colorado
| | - John E Hokanson
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora
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