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Ritchie AI, Donaldson GC, Hoffman EA, Allinson JP, Bloom CI, Bolton CE, Choudhury G, Gerard SE, Guo J, Alves-Moreira L, McGarvey L, Sapey E, Stockley RA, Yip KP, Singh D, Wilkinson T, Fageras M, Ostridge K, Jöns O, Bucchioni E, Compton CH, Jones P, Mezzi K, Vestbo J, Calverley PMA, Wedzicha JA. Structural Predictors of Lung Function Decline in Young Smokers with Normal Spirometry. Am J Respir Crit Care Med 2024; 209:1208-1218. [PMID: 38175920 DOI: 10.1164/rccm.202307-1203oc] [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: 07/14/2023] [Accepted: 01/04/2024] [Indexed: 01/06/2024] Open
Abstract
Rationale: Chronic obstructive pulmonary disease (COPD) due to tobacco smoking commonly presents when extensive lung damage has occurred. Objectives: We hypothesized that structural change would be detected early in the natural history of COPD and would relate to loss of lung function with time. Methods: We recruited 431 current smokers (median age, 39 yr; 16 pack-years smoked) and recorded symptoms using the COPD Assessment Test (CAT), spirometry, and quantitative thoracic computed tomography (QCT) scans at study entry. These scan results were compared with those from 67 never-smoking control subjects. Three hundred sixty-eight participants were followed every six months with measurement of postbronchodilator spirometry for a median of 32 months. The rate of FEV1 decline, adjusted for current smoking status, age, and sex, was related to the initial QCT appearances and symptoms, measured using the CAT. Measurements and Main Results: There were no material differences in demography or subjective CT appearances between the young smokers and control subjects, but 55.7% of the former had CAT scores greater than 10, and 24.2% reported chronic bronchitis. QCT assessments of disease probability-defined functional small airway disease, ground-glass opacification, bronchovascular prominence, and ratio of small blood vessel volume to total pulmonary vessel volume were increased compared with control subjects and were all associated with a faster FEV1 decline, as was a higher CAT score. Conclusions: Radiological abnormalities on CT are already established in young smokers with normal lung function and are associated with FEV1 loss independently of the impact of symptoms. Structural abnormalities are present early in the natural history of COPD and are markers of disease progression. Clinical trial registered with www.clinicaltrials.gov (NCT03480347).
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Affiliation(s)
- Andrew I Ritchie
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
- AstraZeneca, Cambridge, United Kingdom
| | - Gavin C Donaldson
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Eric A Hoffman
- Department of Radiology and
- Roy J. Carver Department of Biomedical Engineering, Medicine and Biomedical Engineering, University of Iowa, Iowa City, Iowa
| | - James P Allinson
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
- Royal Brompton Hospital, London, United Kingdom
| | - Chloe I Bloom
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Charlotte E Bolton
- NIHR Nottingham Biomedical Research Centre
- Centre for Respiratory Research, NIHR Nottingham, Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK
| | - Gourab Choudhury
- ELEGI and COLT Laboratories, Queen's Medical Research Institute, Edinburgh, United Kingdom
| | - Sarah E Gerard
- Roy J. Carver Department of Biomedical Engineering, Medicine and Biomedical Engineering, University of Iowa, Iowa City, Iowa
| | | | - Luana Alves-Moreira
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Lorcan McGarvey
- Wellcome-Wolfson Institute for Experimental Medicine, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, United Kingdom
- Belfast Health and Social Care Trust, Belfast, United Kingdom
| | - Elizabeth Sapey
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom
| | - Robert A Stockley
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom
| | - K P Yip
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom
| | - Dave Singh
- Division of Infection, Immunity and Respiratory Medicine, University of Manchester, Manchester, United Kingdom
| | - Tom Wilkinson
- Faculty of Medicine, University of Southampton, Southampton, United Kingdom
- National Institute for Health and Care Research Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, United Kingdom
| | | | - Kristoffer Ostridge
- Faculty of Medicine, University of Southampton, Southampton, United Kingdom
- AstraZeneca, Gothenburg, Sweden
| | - Olaf Jöns
- Boehringer Ingelheim International GmbH, Ingelheim am Rhein, Germany
| | | | | | - Paul Jones
- GlaxoSmithKline, Brentford, United Kingdom
| | | | - Jørgen Vestbo
- Division of Infection, Immunity and Respiratory Medicine, University of Manchester, Manchester, United Kingdom
| | - Peter M A Calverley
- Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, United Kingdom
| | - Jadwiga A Wedzicha
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
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Pistenmaa CL, Washko GR. BEACON: A Missing Piece of the Puzzle for Chronic Obstructive Pulmonary Disease. Am J Respir Crit Care Med 2024; 209:1177-1178. [PMID: 38330311 DOI: 10.1164/rccm.202401-0144ed] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 02/08/2024] [Indexed: 02/10/2024] Open
Affiliation(s)
- Carrie L Pistenmaa
- Department of Medicine Brigham and Women's Hospital Boston, Massachusetts
| | - George R Washko
- Department of Medicine Brigham and Women's Hospital Boston, Massachusetts
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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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Wang Z, Lin J, Liang L, Li Y, Huang J, Gao Y, Zheng J. Combining small airway parameters with conventional parameters obtained during spirometry to diagnose airflow obstruction: A cross-sectional study. Respirology 2024. [PMID: 38657967 DOI: 10.1111/resp.14725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 04/15/2024] [Indexed: 04/26/2024]
Abstract
BACKGROUND AND OBJECTIVE The use of small airway parameters generated by spirometry, namely forced expiratory flow between 25% and 75% of forced vital capacity (FVC) (FEF25%-75%) and forced expiratory flow at 50% and 75% of FVC (FEF50% and FEF75%, respectively), is widely discussed. We evaluated the importance of these spirometric parameters in a large Chinese population. METHODS We conducted a cross-sectional observational study in which spirometry and bronchodilator responsiveness (BDR) data were collected in a healthcare centre from May 2021 to August 2022 and in a tertiary hospital from January 2017 to March 2022. Discordance was assessed between the classification of test results by the large airway parameters of forced expiratory volume in 1 second (FEV1) and FEV1/FVC ratio and by the small airway parameters of FEF25%-75%, FEF75% and FEF50%. The predictive power of Z-scores of spirometric parameters for airflow limitation and BDR was assessed using receiver operating characteristic curves. RESULTS Our study included 26,658 people. Among people with a normal FVC (n = 14,688), 3.7%, 4.5% and 3.6% of cases exhibited normal FEV1/FVC ratio but impaired FEF25%-75%, FEF75% and FEF50%, respectively, while 6.8%-7.0% of people exhibited normal FEV1 but impaired FEF25%-75%, FEF75% and FEF50%. Using the Z-scores of combining both large and small airway parameters in spirometry showed the best area under the curve for predicting airflow limitation (0.90; 95% CI 0.87-0.94) and predicting BDR (0.72; 95% CI 0.71-0.73). CONCLUSION It is important to consider both large and small airway parameters in spirometry to avoid missing a diagnosis of airflow obstruction.
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Affiliation(s)
- Zhufeng Wang
- National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Junfeng Lin
- National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Lina Liang
- National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Yun Li
- National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Jinhai Huang
- National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Yi Gao
- National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Jinping Zheng
- National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
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Vaezi A, Mirsaeidi M. Proposing the potential of utilizing the CAT score for early detection of COPD in asymptomatic patients, shifting towards a patient-centered approach: A review. Medicine (Baltimore) 2024; 103:e37715. [PMID: 38608107 PMCID: PMC11018188 DOI: 10.1097/md.0000000000037715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 03/04/2024] [Indexed: 04/14/2024] Open
Abstract
Chronic obstructive pulmonary disease (COPD) constitutes a significant public health challenge, with delayed diagnosis and underdiagnosis being pervasive issues. The United States Preventive Service Task Force recommends restricting COPD screening to symptomatic smokers, a focus that has exhibited limitations, leading to delayed diagnoses, and imposing a substantial burden on patients, their families, and the healthcare system. This paper explores an alternative approach, highlighting the potential utility of the COPD assessment test (CAT) score as a prescreening tool. A CAT score of 10 or higher could serve as an appropriate threshold for further diagnostic procedures, given its robust correlation with pulmonary function test parameters and is valuable capacity to quantify patients' symptoms. The utilization of CAT as a prescreening tool in primary care signifies a transition towards a more patient-centered and comprehensive approach to COPD diagnosis and care.
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Affiliation(s)
- Atefeh Vaezi
- Division of Pulmonary, Critical Care, and Sleep Medicine, College of Medicine-Jacksonville, University of Florida, Jacksonville, FL
| | - Mehdi Mirsaeidi
- Division of Pulmonary, Critical Care, and Sleep Medicine, College of Medicine, University of Florida, Jacksonville, FL
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Jeong J, Nam YH, Sim DW, Kim BK, Lee Y, Shim JS, Lee SY, Yang MS, Kim MH, Kim SR, Choi S, Kim SH, Koh YI, Park HW. Relationship of computed tomography-based measurements with symptom perception and quality of life in patients with severe asthma. Respir Med 2024; 225:107598. [PMID: 38499273 DOI: 10.1016/j.rmed.2024.107598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 03/06/2024] [Accepted: 03/09/2024] [Indexed: 03/20/2024]
Abstract
BACKGROUND Symptom perception and quality of life (QOL) are important domains for properly managing severe asthma. This study aimed to assess the relationship between airway structural and parenchymal variables measured using chest computed tomography (CT) and subjective symptom perception and QOL in patients with severe asthma enrolled in the Korean Severe Asthma Registry. METHODS This study used CT-based objective measurements, including airway wall thickness (WT), hydraulic diameter, functional small airway disease (fSAD), and emphysematous lung (Emph), to assess their association with subjective symptom (cough, dyspnea, wheezing, and sputum) perception measured using the visual analog scale, and QOL measured by the Severe Asthma Questionnaire (SAQ). RESULTS A total of 94 patients with severe asthma were enrolled in this study. The WT and fSAD% were significantly positively associated with cough and dyspnea, respectively. For QOL, WT and Emph% showed significant negative associations with the SAQ. However, there was no significant association between lung function and symptom perception or between lung function and QOL. CONCLUSION Overall, WT, fSAD%, and Emph% measured using chest CT were associated with subjective symptom perception and QOL in patients with severe asthma. This study provides a basis for clarifying the clinical correlates of imaging-derived metrics and for understanding the mechanisms of respiratory symptom perception.
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Affiliation(s)
- Jinyoung Jeong
- School of Mechanical Engineering, Kyungpook National University, Daegu, Republic of Korea
| | - Young-Hee Nam
- Department of Internal Medicine, Dong-A University College of Medicine, Busan, Republic of Korea
| | - Da Woon Sim
- Department of Allergy, Asthma and Clinical Immunology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Byung-Keun Kim
- Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Youngsoo Lee
- Department of Allergy and Clinical Immunology, Ajou University Hospital, Suwon, Republic of Korea
| | - Ji-Su Shim
- Department of Internal Medicine, Ewha Womans University College of Medicine, Seoul, Republic of Korea
| | - Suh-Young Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Min-Suk Yang
- Department of Internal Medicine, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
| | - Min-Hye Kim
- Department of Internal Medicine, Ewha Womans University College of Medicine, Seoul, Republic of Korea
| | - So Ri Kim
- Division of Respiratory Medicine and Allergy, Department of Internal Medicine, Jeonbuk National University Medical School, Jeonju, Republic of Korea
| | - Sanghun Choi
- School of Mechanical Engineering, Kyungpook National University, Daegu, Republic of Korea
| | - Sang-Heon Kim
- Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Young-Il Koh
- Department of Allergy, Asthma and Clinical Immunology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Heung-Woo Park
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
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Gong J, Xu L, Yu H, Qiu F, Zhang Z, Yin Y, Ma H, Cai Z, Zhong J, Ding W, Cao C. Increased postoperative complications after laparoscopic gastrectomy in patients with preserved ratio impaired spirometry. J Gastrointest Surg 2024:S1091-255X(24)00376-7. [PMID: 38513947 DOI: 10.1016/j.gassur.2024.03.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 03/03/2024] [Accepted: 03/17/2024] [Indexed: 03/23/2024]
Abstract
BACKGROUND Preserved ratio impaired spirometry (PRISm), defined as decreased forced expiratory volume in the first second in the setting of normal ratio, is associated with an increased risk of respiratory disease and systemic comorbidities. Unlike severe obstructive pulmonary disease, little is known about the impact of PRISm on short-term outcomes in patients undergoing laparoscopic gastrectomy (LG) and its association with small airway dysfunction (SAD). METHODS This study enrolled 830 patients who underwent preoperative spirometry and LG between January 2021 and August 2023. Of these, 228 patients were excluded. Participants were categorized into 3 groups based on their baseline lung function, and postoperative outcomes were subsequently analyzed. Potential associations between postoperative outcomes and various clinical variables were examined using univariate and multivariate analyses. RESULTS PRISm was identified in 16.6% of the patients, whereas SAD was present in 20.4%. The incidence of postoperative pulmonary complications (PPCs) was notably higher in the SAD group (20.3% vs 9.8%, P = .002) and the PRISm group (28.0% vs 9.8%, P < .001) than the normal group. Among the 3 groups, pneumonia was the most frequently observed PPC. Multivariate analysis revealed that both SAD (odds ratio [OR], 2.34; 95% CI, 1.30-4.22; P = .005) and PRISm (OR, 3.26; 95% CI, 1.80-5.90; P < .001) independently constituted significant risk factors associated with the occurrence of PPCs. Univariate analysis showed that female was a possible risk factor for PPCs in PRISm group. CONCLUSION Our study showed that PRISm and SAD were associated with the increased PPCs in patients undergoing LG for gastric cancer.
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Affiliation(s)
- Jun Gong
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Respiratory Disease of Ningbo, First Affiliated Hospital of Ningbo University, Ningbo, China; School of Medicine, Ningbo University, Ningbo, China
| | - Linbin Xu
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Respiratory Disease of Ningbo, First Affiliated Hospital of Ningbo University, Ningbo, China; School of Medicine, Ningbo University, Ningbo, China
| | - Hang Yu
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Respiratory Disease of Ningbo, First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Feng Qiu
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Respiratory Disease of Ningbo, First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Zhiping Zhang
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Yongfang Yin
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Hongying Ma
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Respiratory Disease of Ningbo, First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Zejun Cai
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Jingjing Zhong
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Respiratory Disease of Ningbo, First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Weiping Ding
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Respiratory Disease of Ningbo, First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Chao Cao
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Respiratory Disease of Ningbo, First Affiliated Hospital of Ningbo University, Ningbo, China.
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Tanabe N. Increase Attention to Computed Tomography Findings of Emphysema without Airflow Limitation: Small Airway Disease Is Already There. Am J Respir Crit Care Med 2024; 209:619-621. [PMID: 38207095 PMCID: PMC10945056 DOI: 10.1164/rccm.202312-2245ed] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 01/10/2024] [Indexed: 01/13/2024] Open
Affiliation(s)
- Naoya Tanabe
- Department of Respiratory Medicine Kyoto University Kyoto, Japan
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Almeida SD, Norajitra T, Lüth CT, Wald T, Weru V, Nolden M, Jäger PF, von Stackelberg O, Heußel CP, Weinheimer O, Biederer J, Kauczor HU, Maier-Hein K. Capturing COPD heterogeneity: anomaly detection and parametric response mapping comparison for phenotyping on chest computed tomography. Front Med (Lausanne) 2024; 11:1360706. [PMID: 38495118 PMCID: PMC10941845 DOI: 10.3389/fmed.2024.1360706] [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: 12/23/2023] [Accepted: 02/20/2024] [Indexed: 03/19/2024] Open
Abstract
Background Chronic obstructive pulmonary disease (COPD) poses a substantial global health burden, demanding advanced diagnostic tools for early detection and accurate phenotyping. In this line, this study seeks to enhance COPD characterization on chest computed tomography (CT) by comparing the spatial and quantitative relationships between traditional parametric response mapping (PRM) and a novel self-supervised anomaly detection approach, and to unveil potential additional insights into the dynamic transitional stages of COPD. Methods Non-contrast inspiratory and expiratory CT of 1,310 never-smoker and GOLD 0 individuals and COPD patients (GOLD 1-4) from the COPDGene dataset were retrospectively evaluated. A novel self-supervised anomaly detection approach was applied to quantify lung abnormalities associated with COPD, as regional deviations. These regional anomaly scores were qualitatively and quantitatively compared, per GOLD class, to PRM volumes (emphysema: PRMEmph, functional small-airway disease: PRMfSAD) and to a Principal Component Analysis (PCA) and Clustering, applied on the self-supervised latent space. Its relationships to pulmonary function tests (PFTs) were also evaluated. Results Initial t-Distributed Stochastic Neighbor Embedding (t-SNE) visualization of the self-supervised latent space highlighted distinct spatial patterns, revealing clear separations between regions with and without emphysema and air trapping. Four stable clusters were identified among this latent space by the PCA and Cluster Analysis. As the GOLD stage increased, PRMEmph, PRMfSAD, anomaly score, and Cluster 3 volumes exhibited escalating trends, contrasting with a decline in Cluster 2. The patient-wise anomaly scores significantly differed across GOLD stages (p < 0.01), except for never-smokers and GOLD 0 patients. In contrast, PRMEmph, PRMfSAD, and cluster classes showed fewer significant differences. Pearson correlation coefficients revealed moderate anomaly score correlations to PFTs (0.41-0.68), except for the functional residual capacity and smoking duration. The anomaly score was correlated with PRMEmph (r = 0.66, p < 0.01) and PRMfSAD (r = 0.61, p < 0.01). Anomaly scores significantly improved fitting of PRM-adjusted multivariate models for predicting clinical parameters (p < 0.001). Bland-Altman plots revealed that volume agreement between PRM-derived volumes and clusters was not constant across the range of measurements. Conclusion Our study highlights the synergistic utility of the anomaly detection approach and traditional PRM in capturing the nuanced heterogeneity of COPD. The observed disparities in spatial patterns, cluster dynamics, and correlations with PFTs underscore the distinct - yet complementary - strengths of these methods. Integrating anomaly detection and PRM offers a promising avenue for understanding of COPD pathophysiology, potentially informing more tailored diagnostic and intervention approaches to improve patient outcomes.
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Affiliation(s)
- Silvia D. Almeida
- Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), Heidelberg, Germany
- Medical Faculty, Heidelberg University, Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, A Partnership Between DKFZ and Heidelberg University Medical Center, Heidelberg, Germany
| | - Tobias Norajitra
- Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), Heidelberg, Germany
| | - Carsten T. Lüth
- Interactive Machine Learning Group (IML), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Helmholtz Imaging, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Tassilo Wald
- Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Helmholtz Imaging, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Vivienn Weru
- Division of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Marco Nolden
- Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Pattern Analysis and Learning Group, Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Paul F. Jäger
- Interactive Machine Learning Group (IML), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Helmholtz Imaging, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Oyunbileg von Stackelberg
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), Heidelberg, Germany
- Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Claus Peter Heußel
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), Heidelberg, Germany
- Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany
- Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University Hospital, Heidelberg, Germany
| | - Oliver Weinheimer
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), Heidelberg, Germany
- Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Jürgen Biederer
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), Heidelberg, Germany
- Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany
- Faculty of Medicine, University of Latvia, Riga, Latvia
- Faculty of Medicine, Christian-Albrechts-Universität zu Kiel, Kiel, Germany
| | - Hans-Ulrich Kauczor
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), Heidelberg, Germany
- Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Klaus Maier-Hein
- Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, A Partnership Between DKFZ and Heidelberg University Medical Center, Heidelberg, Germany
- Helmholtz Imaging, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Pattern Analysis and Learning Group, Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
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Bell AJ, Pal R, Labaki WW, Hoff BA, Wang JM, Murray S, Kazerooni EA, Galban S, Lynch DA, Humphries SM, Martinez FJ, Hatt CR, Han MK, Ram S, Galban CJ. Local heterogeneity of normal lung parenchyma and small airways disease are associated with COPD severity and progression. Respir Res 2024; 25:106. [PMID: 38419014 PMCID: PMC10903150 DOI: 10.1186/s12931-024-02729-x] [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: 01/09/2024] [Accepted: 02/13/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND Small airways disease (SAD) is a major cause of airflow obstruction in COPD patients and has been identified as a precursor to emphysema. Although the amount of SAD in the lungs can be quantified using our Parametric Response Mapping (PRM) approach, the full breadth of this readout as a measure of emphysema and COPD progression has yet to be explored. We evaluated topological features of PRM-derived normal parenchyma and SAD as surrogates of emphysema and predictors of spirometric decline. METHODS PRM metrics of normal lung (PRMNorm) and functional SAD (PRMfSAD) were generated from CT scans collected as part of the COPDGene study (n = 8956). Volume density (V) and Euler-Poincaré Characteristic (χ) image maps, measures of the extent and coalescence of pocket formations (i.e., topologies), respectively, were determined for both PRMNorm and PRMfSAD. Association with COPD severity, emphysema, and spirometric measures were assessed via multivariable regression models. Readouts were evaluated as inputs for predicting FEV1 decline using a machine learning model. RESULTS Multivariable cross-sectional analysis of COPD subjects showed that V and χ measures for PRMfSAD and PRMNorm were independently associated with the amount of emphysema. Readouts χfSAD (β of 0.106, p < 0.001) and VfSAD (β of 0.065, p = 0.004) were also independently associated with FEV1% predicted. The machine learning model using PRM topologies as inputs predicted FEV1 decline over five years with an AUC of 0.69. CONCLUSIONS We demonstrated that V and χ of fSAD and Norm have independent value when associated with lung function and emphysema. In addition, we demonstrated that these readouts are predictive of spirometric decline when used as inputs in a ML model. Our topological PRM approach using PRMfSAD and PRMNorm may show promise as an early indicator of emphysema onset and COPD progression.
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Affiliation(s)
- Alexander J Bell
- Department of Radiology, University of Michigan, 109 Zina Pitcher Place BSRB A506, Ann Arbor, MI, 48109-2200, USA
| | - Ravi Pal
- Department of Radiology, University of Michigan, 109 Zina Pitcher Place BSRB A506, Ann Arbor, MI, 48109-2200, USA
| | - Wassim W Labaki
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Benjamin A Hoff
- Department of Radiology, University of Michigan, 109 Zina Pitcher Place BSRB A506, Ann Arbor, MI, 48109-2200, USA
| | - Jennifer M Wang
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Susan Murray
- School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Ella A Kazerooni
- Department of Radiology, University of Michigan, 109 Zina Pitcher Place BSRB A506, Ann Arbor, MI, 48109-2200, USA
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Stefanie Galban
- Department of Radiology, University of Michigan, 109 Zina Pitcher Place BSRB A506, Ann Arbor, MI, 48109-2200, USA
| | - David A Lynch
- Department of Radiology, National Jewish Health, Denver, CO, USA
| | | | | | | | - MeiLan K Han
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Sundaresh Ram
- Department of Radiology, University of Michigan, 109 Zina Pitcher Place BSRB A506, Ann Arbor, MI, 48109-2200, USA.
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
| | - Craig J Galban
- Department of Radiology, University of Michigan, 109 Zina Pitcher Place BSRB A506, Ann Arbor, MI, 48109-2200, USA.
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
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11
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Wu F, Dai C, Zhou Y, Deng Z, Wang Z, Li X, Chen S, Guan W, Zhong N, Ran P. Tiotropium reduces clinically important deterioration in patients with mild-to-moderate chronic obstructive pulmonary disease: A post hoc analysis of the Tie-COPD study. Respir Med 2024; 222:107527. [PMID: 38199288 DOI: 10.1016/j.rmed.2024.107527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 12/20/2023] [Accepted: 01/07/2024] [Indexed: 01/12/2024]
Abstract
BACKGROUND Clinically important deterioration (CID) is a composite endpoint used to holistically assess the complex progression of chronic obstructive pulmonary disease (COPD). Tiotropium improves lung function and reduces the rate of COPD exacerbations in patients with COPD of Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage 1 (mild) or 2 (moderate). However, whether tiotropium reduces CID risk in patients with mild-to-moderate COPD remains unclear. METHODS This was a post hoc analysis of the 24-month Tie-COPD study comparing 18 μg tiotropium with placebo in patients with mild-to-moderate COPD. CID was defined as a decrease of ≥100 mL in trough forced expiratory volume in 1 s, an increase of ≥2 unit in COPD Assessment Test (CAT) score, or moderate-to-severe exacerbation. The time to the first occurrence of one of these events was recorded as the time to the first CID. Subgroup analyses were conducted among patients stratified by CAT score, modified Medical Research Council (mMRC) dyspnea score, and GOLD stage at baseline. RESULTS Of the 841 randomized patients, 771 were included in the full analysis set. Overall, 643 patients (83.4 %) experienced at least one CID event. Tiotropium significantly reduced the CID risk and delayed the time to first CID compared with placebo (adjusted hazard ratio = 0.58, 95 % confidence interval = 0.49-0.68, P < 0.001). Significant reductions in CID risk were also observed in various subgroups, including patients with a CAT score <10, mMRC score <2, and mild COPD. CONCLUSIONS Tiotropium reduced CID risk in patients with mild-to-moderate COPD, even in patients with fewer respiratory symptoms or mild disease, which highlights tiotropium's effectiveness in treating COPD patients with mild disease. TRIAL REGISTRATION This study is registered at ClinicalTrials.gov (Tie-COPD, NCT01455129).
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Affiliation(s)
- Fan Wu
- State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine & Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Guangzhou National Laboratory, Guangzhou, China
| | - Cuiqiong Dai
- State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine & Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yumin Zhou
- State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine & Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Guangzhou National Laboratory, Guangzhou, China
| | - Zhishan Deng
- State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine & Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zihui Wang
- State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine & Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiaochen Li
- State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine & Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Shuyun Chen
- State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine & Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Weijie Guan
- State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine & Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Nanshan Zhong
- State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine & Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Guangzhou National Laboratory, Guangzhou, China
| | - Pixin Ran
- State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine & Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Guangzhou National Laboratory, Guangzhou, China.
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12
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Nakamura H, Hirai T, Kurosawa H, Hamada K, Matsunaga K, Shimizu K, Konno S, Muro S, Fukunaga K, Nakano Y, Kuwahira I, Hanaoka M. Current advances in pulmonary functional imaging. Respir Investig 2024; 62:49-65. [PMID: 37948969 DOI: 10.1016/j.resinv.2023.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 08/26/2023] [Accepted: 09/07/2023] [Indexed: 11/12/2023]
Abstract
Recent advances in imaging analysis have enabled evaluation of ventilation and perfusion in specific regions by chest computed tomography (CT) and magnetic resonance imaging (MRI), in addition to modalities including dynamic chest radiography, scintigraphy, positron emission tomography (PET), ultrasound, and electrical impedance tomography (EIT). In this review, an overview of current functional imaging techniques is provided for each modality. Advances in chest CT have allowed for the analysis of local volume changes and small airway disease in addition to emphysema, using the Jacobian determinant and parametric response mapping with inspiratory and expiratory images. Airway analysis can reveal characteristics of airway lesions in chronic obstructive pulmonary disease (COPD) and bronchial asthma, and the contribution of dysanapsis to obstructive diseases. Chest CT is also employed to measure pulmonary blood vessels, interstitial lung abnormalities, and mediastinal and chest wall components including skeletal muscle and bone. Dynamic CT can visualize lung deformation in respective portions. Pulmonary MRI has been developed for the estimation of lung ventilation and perfusion, mainly using hyperpolarized 129Xe. Oxygen-enhanced and proton-based MRI, without a polarizer, has potential clinical applications. Dynamic chest radiography is gaining traction in Japan for ventilation and perfusion analysis. Single photon emission CT can be used to assess ventilation-perfusion (V˙/Q˙) mismatch in pulmonary vascular diseases and COPD. PET/CT V˙/Q˙ imaging has also been demonstrated using "Galligas". Both ultrasound and EIT can detect pulmonary edema caused by acute respiratory distress syndrome. Familiarity with these functional imaging techniques will enable clinicians to utilize these systems in clinical practice.
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Affiliation(s)
- Hidetoshi Nakamura
- Department of Respiratory Medicine, Saitama Medical University, Saitama, Japan.
| | - Toyohiro Hirai
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hajime Kurosawa
- Center for Environmental Conservation and Research Safety and Department of Occupational Health, Tohoku University School of Medicine, Sendai, Japan
| | - Kazuki Hamada
- Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, Ube, Japan
| | - Kazuto Matsunaga
- Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, Ube, Japan
| | - Kaoruko Shimizu
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Satoshi Konno
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Shigeo Muro
- Department of Respiratory Medicine, Nara Medical University, Nara, Japan
| | - Koichi Fukunaga
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Yasutaka Nakano
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Japan
| | - Ichiro Kuwahira
- Division of Pulmonary Medicine, Department of Medicine, Tokai University Tokyo Hospital, Tokyo, Japan
| | - Masayuki Hanaoka
- First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Japan
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13
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De Luca SN, Vlahos R. Targeting accelerated pulmonary ageing to treat chronic obstructive pulmonary disease-induced neuropathological comorbidities. Br J Pharmacol 2024; 181:3-20. [PMID: 37828646 PMCID: PMC10952708 DOI: 10.1111/bph.16263] [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: 07/26/2023] [Revised: 09/06/2023] [Accepted: 09/27/2023] [Indexed: 10/14/2023] Open
Abstract
Chronic obstructive pulmonary disease (COPD) is a major incurable health burden, ranking as the third leading cause of death worldwide, mainly driven by cigarette smoking. COPD is characterised by persistent airway inflammation, lung function decline and premature ageing with the presence of pulmonary senescent cells. This review proposes that cellular senescence, a state of stable cell cycle arrest linked to ageing, induced by inflammation and oxidative stress in COPD, extends beyond the lungs and affects the systemic circulation. This pulmonary senescent profile will reach other organs via extracellular vesicles contributing to brain inflammation and damage, and increasing the risk of neurological comorbidities, such as stroke, cerebral small vessel disease and Alzheimer's disease. The review explores the role of cellular senescence in COPD-associated brain conditions and investigates the relationship between cellular senescence and circadian rhythm in COPD. Additionally, it discusses potential therapies, including senomorphic and senolytic treatments, as novel strategies to halt or improve the progression of COPD.
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Affiliation(s)
- Simone N. De Luca
- Centre for Respiratory Science and Health, School of Health & Biomedical SciencesRMIT UniversityMelbourneVictoriaAustralia
| | - Ross Vlahos
- Centre for Respiratory Science and Health, School of Health & Biomedical SciencesRMIT UniversityMelbourneVictoriaAustralia
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14
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Vegas Sánchez-Ferrero G, Díaz AA, Ash SY, Baraghoshi D, Strand M, Crapo JD, Silverman EK, Humphries SM, Washko GR, Lynch DA, San José Estépar R. Quantification of Emphysema Progression at CT Using Simultaneous Volume, Noise, and Bias Lung Density Correction. Radiology 2024; 310:e231632. [PMID: 38165244 PMCID: PMC10831481 DOI: 10.1148/radiol.231632] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 10/19/2023] [Accepted: 10/30/2023] [Indexed: 01/03/2024]
Abstract
Background CT attenuation is affected by lung volume, dosage, and scanner bias, leading to inaccurate emphysema progression measurements in multicenter studies. Purpose To develop and validate a method that simultaneously corrects volume, noise, and interscanner bias for lung density change estimation in emphysema progression at CT in a longitudinal multicenter study. Materials and Methods In this secondary analysis of the prospective Genetic Epidemiology of Chronic Obstructive Pulmonary Disease (COPDGene) study, lung function data were obtained from participants who completed baseline and 5-year follow-up visits from January 2008 to August 2017. CT emphysema progression was measured with volume-adjusted lung density (VALD) and compared with the joint volume-noise-bias-adjusted lung density (VNB-ALD). Reproducibility was studied under change of dosage protocol and scanner model with repeated acquisitions. Emphysema progression was visually scored in 102 randomly selected participants. A stratified analysis of clinical characteristics was performed that considered groups based on their combined lung density change measured by VALD and VNB-ALD. Results A total of 4954 COPDGene participants (mean age, 60 years ± 9 [SD]; 2511 male, 2443 female) were analyzed (1329 with repeated reduced-dose acquisition in the follow-up visit). Mean repeatability coefficients were 30 g/L ± 0.46 for VALD and 14 g/L ± 0.34 for VNB-ALD. VALD measurements showed no evidence of differences between nonprogressors and progressors (mean, -5.5 g/L ± 9.5 vs -8.6 g/L ± 9.6; P = .11), while VNB-ALD agreed with visual readings and showed a difference (mean, -0.67 g/L ± 4.8 vs -4.2 g/L ± 5.5; P < .001). Analysis of progression showed that VNB-ALD progressors had a greater decline in forced expiratory volume in 1 second (-42 mL per year vs -32 mL per year; Tukey-adjusted P = .002). Conclusion Simultaneously correcting volume, noise, and interscanner bias for lung density change estimation in emphysema progression at CT improved repeatability analyses and agreed with visual readings. It distinguished between progressors and nonprogressors and was associated with a greater decline in lung function metrics. Clinical trial registration no. NCT00608764 © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Goo in this issue.
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Affiliation(s)
- Gonzalo Vegas Sánchez-Ferrero
- From the Applied Chest Imaging Laboratory, Department of Radiology
(G.V.S.F., R.S.J.E.), Applied Chest Imaging Laboratory, Division of Pulmonary
and Critical Care Medicine, Department of Medicine (A.A.D., S.Y.A., G.R.W.), and
Channing Division of Network Medicine and Division of Pulmonary and Critical
Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's
Hospital, 75 Francis St, Boston, MA 02115; and Division of Biostatistics and
Bioinformatics (D.B., M.S.), Division of Pulmonary and Critical Care Medicine,
Department of Medicine (J.D.C.), and Department of Radiology (S.M.H., D.A.L.),
National Jewish Health, Denver, Colo
| | - Alejandro A. Díaz
- From the Applied Chest Imaging Laboratory, Department of Radiology
(G.V.S.F., R.S.J.E.), Applied Chest Imaging Laboratory, Division of Pulmonary
and Critical Care Medicine, Department of Medicine (A.A.D., S.Y.A., G.R.W.), and
Channing Division of Network Medicine and Division of Pulmonary and Critical
Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's
Hospital, 75 Francis St, Boston, MA 02115; and Division of Biostatistics and
Bioinformatics (D.B., M.S.), Division of Pulmonary and Critical Care Medicine,
Department of Medicine (J.D.C.), and Department of Radiology (S.M.H., D.A.L.),
National Jewish Health, Denver, Colo
| | - Samuel Y. Ash
- From the Applied Chest Imaging Laboratory, Department of Radiology
(G.V.S.F., R.S.J.E.), Applied Chest Imaging Laboratory, Division of Pulmonary
and Critical Care Medicine, Department of Medicine (A.A.D., S.Y.A., G.R.W.), and
Channing Division of Network Medicine and Division of Pulmonary and Critical
Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's
Hospital, 75 Francis St, Boston, MA 02115; and Division of Biostatistics and
Bioinformatics (D.B., M.S.), Division of Pulmonary and Critical Care Medicine,
Department of Medicine (J.D.C.), and Department of Radiology (S.M.H., D.A.L.),
National Jewish Health, Denver, Colo
| | - David Baraghoshi
- From the Applied Chest Imaging Laboratory, Department of Radiology
(G.V.S.F., R.S.J.E.), Applied Chest Imaging Laboratory, Division of Pulmonary
and Critical Care Medicine, Department of Medicine (A.A.D., S.Y.A., G.R.W.), and
Channing Division of Network Medicine and Division of Pulmonary and Critical
Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's
Hospital, 75 Francis St, Boston, MA 02115; and Division of Biostatistics and
Bioinformatics (D.B., M.S.), Division of Pulmonary and Critical Care Medicine,
Department of Medicine (J.D.C.), and Department of Radiology (S.M.H., D.A.L.),
National Jewish Health, Denver, Colo
| | - Matthew Strand
- From the Applied Chest Imaging Laboratory, Department of Radiology
(G.V.S.F., R.S.J.E.), Applied Chest Imaging Laboratory, Division of Pulmonary
and Critical Care Medicine, Department of Medicine (A.A.D., S.Y.A., G.R.W.), and
Channing Division of Network Medicine and Division of Pulmonary and Critical
Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's
Hospital, 75 Francis St, Boston, MA 02115; and Division of Biostatistics and
Bioinformatics (D.B., M.S.), Division of Pulmonary and Critical Care Medicine,
Department of Medicine (J.D.C.), and Department of Radiology (S.M.H., D.A.L.),
National Jewish Health, Denver, Colo
| | - James D. Crapo
- From the Applied Chest Imaging Laboratory, Department of Radiology
(G.V.S.F., R.S.J.E.), Applied Chest Imaging Laboratory, Division of Pulmonary
and Critical Care Medicine, Department of Medicine (A.A.D., S.Y.A., G.R.W.), and
Channing Division of Network Medicine and Division of Pulmonary and Critical
Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's
Hospital, 75 Francis St, Boston, MA 02115; and Division of Biostatistics and
Bioinformatics (D.B., M.S.), Division of Pulmonary and Critical Care Medicine,
Department of Medicine (J.D.C.), and Department of Radiology (S.M.H., D.A.L.),
National Jewish Health, Denver, Colo
| | - Edwin K. Silverman
- From the Applied Chest Imaging Laboratory, Department of Radiology
(G.V.S.F., R.S.J.E.), Applied Chest Imaging Laboratory, Division of Pulmonary
and Critical Care Medicine, Department of Medicine (A.A.D., S.Y.A., G.R.W.), and
Channing Division of Network Medicine and Division of Pulmonary and Critical
Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's
Hospital, 75 Francis St, Boston, MA 02115; and Division of Biostatistics and
Bioinformatics (D.B., M.S.), Division of Pulmonary and Critical Care Medicine,
Department of Medicine (J.D.C.), and Department of Radiology (S.M.H., D.A.L.),
National Jewish Health, Denver, Colo
| | - Stephen M. Humphries
- From the Applied Chest Imaging Laboratory, Department of Radiology
(G.V.S.F., R.S.J.E.), Applied Chest Imaging Laboratory, Division of Pulmonary
and Critical Care Medicine, Department of Medicine (A.A.D., S.Y.A., G.R.W.), and
Channing Division of Network Medicine and Division of Pulmonary and Critical
Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's
Hospital, 75 Francis St, Boston, MA 02115; and Division of Biostatistics and
Bioinformatics (D.B., M.S.), Division of Pulmonary and Critical Care Medicine,
Department of Medicine (J.D.C.), and Department of Radiology (S.M.H., D.A.L.),
National Jewish Health, Denver, Colo
| | - George R. Washko
- From the Applied Chest Imaging Laboratory, Department of Radiology
(G.V.S.F., R.S.J.E.), Applied Chest Imaging Laboratory, Division of Pulmonary
and Critical Care Medicine, Department of Medicine (A.A.D., S.Y.A., G.R.W.), and
Channing Division of Network Medicine and Division of Pulmonary and Critical
Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's
Hospital, 75 Francis St, Boston, MA 02115; and Division of Biostatistics and
Bioinformatics (D.B., M.S.), Division of Pulmonary and Critical Care Medicine,
Department of Medicine (J.D.C.), and Department of Radiology (S.M.H., D.A.L.),
National Jewish Health, Denver, Colo
| | - David A. Lynch
- From the Applied Chest Imaging Laboratory, Department of Radiology
(G.V.S.F., R.S.J.E.), Applied Chest Imaging Laboratory, Division of Pulmonary
and Critical Care Medicine, Department of Medicine (A.A.D., S.Y.A., G.R.W.), and
Channing Division of Network Medicine and Division of Pulmonary and Critical
Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's
Hospital, 75 Francis St, Boston, MA 02115; and Division of Biostatistics and
Bioinformatics (D.B., M.S.), Division of Pulmonary and Critical Care Medicine,
Department of Medicine (J.D.C.), and Department of Radiology (S.M.H., D.A.L.),
National Jewish Health, Denver, Colo
| | - Raúl San José Estépar
- From the Applied Chest Imaging Laboratory, Department of Radiology
(G.V.S.F., R.S.J.E.), Applied Chest Imaging Laboratory, Division of Pulmonary
and Critical Care Medicine, Department of Medicine (A.A.D., S.Y.A., G.R.W.), and
Channing Division of Network Medicine and Division of Pulmonary and Critical
Care Medicine, Department of Medicine (E.K.S.), Brigham and Women's
Hospital, 75 Francis St, Boston, MA 02115; and Division of Biostatistics and
Bioinformatics (D.B., M.S.), Division of Pulmonary and Critical Care Medicine,
Department of Medicine (J.D.C.), and Department of Radiology (S.M.H., D.A.L.),
National Jewish Health, Denver, Colo
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15
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Mebratu YA, Jones JT, Liu C, Negasi ZH, Rahman M, Rojas-Quintero J, O’Connor GT, Gao W, Dupuis J, Cho MH, Litonjua AA, Randell S, Tesfaigzi Y. Bik promotes proteasomal degradation to control low-grade inflammation. J Clin Invest 2023; 134:e170594. [PMID: 38113109 PMCID: PMC10866658 DOI: 10.1172/jci170594] [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: 03/20/2023] [Accepted: 12/13/2023] [Indexed: 12/21/2023] Open
Abstract
Although chronic low-grade inflammation does not cause immediate clinical symptoms, over the longer term, it can enhance other insults or age-dependent damage to organ systems and thereby contribute to age-related disorders, such as respiratory disorders, heart disease, metabolic disorders, autoimmunity, and cancer. However, the molecular mechanisms governing low-level inflammation are largely unknown. We discovered that Bcl-2-interacting killer (Bik) deficiency causes low-level inflammation even at baseline and the development of spontaneous emphysema in female but not male mice. Similarly, a single nucleotide polymorphism that reduced Bik levels was associated with increased inflammation and enhanced decline in lung function in humans. Transgenic expression of Bik in the airways of Bik-deficient mice inhibited allergen- or LPS-induced lung inflammation and reversed emphysema in female mice. Bik deficiency increased nuclear but not cytosolic p65 levels because Bik, by modifying the BH4 domain of Bcl-2, interacted with regulatory particle non-ATPase 1 (RPN1) and RPN2 and enhanced proteasomal degradation of nuclear proteins. Bik deficiency increased inflammation primarily in females because Bcl-2 and Bik levels were reduced in lung tissues and airway cells of female compared with male mice. Therefore, controlling low-grade inflammation by modifying the unappreciated role of Bik and Bcl-2 in facilitating proteasomal degradation of nuclear proteins may be crucial in treating chronic age-related diseases.
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Affiliation(s)
- Yohannes A. Mebratu
- Brigham and Women’s Hospital, Division of Pulmonary and Critical Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Jane T. Jones
- University Geisel School of Medicine, Department of Microbiology and Immunology, Dartmouth, Hanover, New Hampshire, USA
| | - Congjian Liu
- Brigham and Women’s Hospital, Division of Pulmonary and Critical Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Zerihun H. Negasi
- Brigham and Women’s Hospital, Division of Pulmonary and Critical Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Mizanur Rahman
- Brigham and Women’s Hospital, Division of Pulmonary and Critical Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Joselyn Rojas-Quintero
- Brigham and Women’s Hospital, Division of Pulmonary and Critical Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - George T. O’Connor
- Pulmonary Center, Boston University School of Medicine, Boston, Massachusetts, USA
- National Heart, Lung, and Blood Institute’s (NHLBI’s) Framingham Heart Study, Framingham, Massachusetts, USA
| | - Wei Gao
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Canada
| | - Michael H. Cho
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Augusto A. Litonjua
- Division of Pediatric Pulmonary Medicine, University of Rochester Medical Center, Rochester, New York, USA
| | - Scott Randell
- Marsico Lung Institute, UNC School of Medicine, Chapel Hill, North Carolina, USA
| | - Yohannes Tesfaigzi
- Brigham and Women’s Hospital, Division of Pulmonary and Critical Medicine, Harvard Medical School, Boston, Massachusetts, USA
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Chen B, Liu Z, Lu J, Li Z, Kuang K, Yang J, Wang Z, Sun Y, Du B, Qi L, Li M. Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screening. Respir Res 2023; 24:299. [PMID: 38017476 PMCID: PMC10683250 DOI: 10.1186/s12931-023-02611-2] [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: 09/01/2023] [Accepted: 11/16/2023] [Indexed: 11/30/2023] Open
Abstract
OBJECTIVES Parametric response mapping (PRM) enables the evaluation of small airway disease (SAD) at the voxel level, but requires both inspiratory and expiratory chest CT scans. We hypothesize that deep learning PRM from inspiratory chest CT scans can effectively evaluate SAD in individuals with normal spirometry. METHODS We included 537 participants with normal spirometry, a history of smoking or secondhand smoke exposure, and divided them into training, tuning, and test sets. A cascaded generative adversarial network generated expiratory CT from inspiratory CT, followed by a UNet-like network predicting PRM using real inspiratory CT and generated expiratory CT. The performance of the prediction is evaluated using SSIM, RMSE and dice coefficients. Pearson correlation evaluated the correlation between predicted and ground truth PRM. ROC curves evaluated predicted PRMfSAD (the volume percentage of functional small airway disease, fSAD) performance in stratifying SAD. RESULTS Our method can generate expiratory CT of good quality (SSIM 0.86, RMSE 80.13 HU). The predicted PRM dice coefficients for normal lung, emphysema, and fSAD regions are 0.85, 0.63, and 0.51, respectively. The volume percentages of emphysema and fSAD showed good correlation between predicted and ground truth PRM (|r| were 0.97 and 0.64, respectively, p < 0.05). Predicted PRMfSAD showed good SAD stratification performance with ground truth PRMfSAD at thresholds of 15%, 20% and 25% (AUCs were 0.84, 0.78, and 0.84, respectively, p < 0.001). CONCLUSION Our deep learning method generates high-quality PRM using inspiratory chest CT and effectively stratifies SAD in individuals with normal spirometry.
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Affiliation(s)
- Bin Chen
- Department of Radiology, Huadong Hospital Affiliated to Fudan University, 221, Yanan West Road, Jingan Temple Street, Jingan District, Shanghai, China
- Zhang Guozhen Small Pulmonary Nodules Diagnosis and Treatment Center, Shanghai, China
| | - Ziyi Liu
- School of Computer Science, Wuhan University, LuoJiaShan, WuChang District, Wuhan, Hubei, China
- Artificial Intelligence Institute of Wuhan University, Wuhan, Hubei, China
- Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan, Hubei, China
| | - Jinjuan Lu
- Department of Radiology, Shanghai Geriatric Medical Center, Shanghai, China
| | - Zhihao Li
- School of Computer Science, Wuhan University, LuoJiaShan, WuChang District, Wuhan, Hubei, China
- Artificial Intelligence Institute of Wuhan University, Wuhan, Hubei, China
- Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan, Hubei, China
| | - Kaiming Kuang
- Dianei Technology, Shanghai, China
- University of California San Diego, La Jolla, USA
| | - Jiancheng Yang
- Dianei Technology, Shanghai, China
- Computer Vision Laboratory, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland
| | - Zengmao Wang
- School of Computer Science, Wuhan University, LuoJiaShan, WuChang District, Wuhan, Hubei, China
- Artificial Intelligence Institute of Wuhan University, Wuhan, Hubei, China
- Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan, Hubei, China
| | - Yingli Sun
- Department of Radiology, Huadong Hospital Affiliated to Fudan University, 221, Yanan West Road, Jingan Temple Street, Jingan District, Shanghai, China
- Zhang Guozhen Small Pulmonary Nodules Diagnosis and Treatment Center, Shanghai, China
| | - Bo Du
- School of Computer Science, Wuhan University, LuoJiaShan, WuChang District, Wuhan, Hubei, China.
- Artificial Intelligence Institute of Wuhan University, Wuhan, Hubei, China.
- Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan, Hubei, China.
| | - Lin Qi
- Department of Radiology, Huadong Hospital Affiliated to Fudan University, 221, Yanan West Road, Jingan Temple Street, Jingan District, Shanghai, China.
- Zhang Guozhen Small Pulmonary Nodules Diagnosis and Treatment Center, Shanghai, China.
| | - Ming Li
- Department of Radiology, Huadong Hospital Affiliated to Fudan University, 221, Yanan West Road, Jingan Temple Street, Jingan District, Shanghai, China.
- Zhang Guozhen Small Pulmonary Nodules Diagnosis and Treatment Center, Shanghai, China.
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Bell AJ, Pal R, Labaki WW, Hoff BA, Wang JM, Murray S, Kazerooni EA, Galban S, Lynch DA, Humphries SM, Martinez FJ, Hatt CR, Han MK, Ram S, Galban CJ. Quantitative CT of Normal Lung Parenchyma and Small Airways Disease Topologies are Associated With COPD Severity and Progression. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.05.26.23290532. [PMID: 37333382 PMCID: PMC10274970 DOI: 10.1101/2023.05.26.23290532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Objectives Small airways disease (SAD) is a major cause of airflow obstruction in COPD patients, and has been identified as a precursor to emphysema. Although the amount of SAD in the lungs can be quantified using our Parametric Response Mapping (PRM) approach, the full breadth of this readout as a measure of emphysema and COPD progression has yet to be explored. We evaluated topological features of PRM-derived normal parenchyma and SAD as surrogates of emphysema and predictors of spirometric decline. Materials and Methods PRM metrics of normal lung (PRMNorm) and functional SAD (PRMfSAD) were generated from CT scans collected as part of the COPDGene study (n=8956). Volume density (V) and Euler-Poincaré Characteristic (χ) image maps, measures of the extent and coalescence of pocket formations (i.e., topologies), respectively, were determined for both PRMNorm and PRMfSAD. Association with COPD severity, emphysema, and spirometric measures were assessed via multivariable regression models. Readouts were evaluated as inputs for predicting FEV1 decline using a machine learning model. Results Multivariable cross-sectional analysis of COPD subjects showed that V and χ measures for PRMfSAD and PRMNorm were independently associated with the amount of emphysema. Readouts χfSAD (β of 0.106, p<0.001) and VfSAD (β of 0.065, p=0.004) were also independently associated with FEV1% predicted. The machine learning model using PRM topologies as inputs predicted FEV1 decline over five years with an AUC of 0.69. Conclusions We demonstrated that V and χ of fSAD and Norm have independent value when associated with lung function and emphysema. In addition, we demonstrated that these readouts are predictive of spirometric decline when used as inputs in a ML model. Our topological PRM approach using PRMfSAD and PRMNorm may show promise as an early indicator of emphysema onset and COPD progression.
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Affiliation(s)
- Alexander J. Bell
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States
| | - Ravi Pal
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States
| | - Wassim W. Labaki
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Benjamin A. Hoff
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States
| | - Jennifer M. Wang
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Susan Murray
- School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Ella A. Kazerooni
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Stefanie Galban
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States
| | - David A. Lynch
- Department of Radiology, National Jewish Health, Denver, CO, United States
| | | | | | | | - MeiLan K. Han
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Sundaresh Ram
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
| | - Craig J. Galban
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
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Tesfaigzi Y, Curtis JL, Petrache I, Polverino F, Kheradmand F, Adcock IM, Rennard SI. Does Chronic Obstructive Pulmonary Disease Originate from Different Cell Types? Am J Respir Cell Mol Biol 2023; 69:500-507. [PMID: 37584669 PMCID: PMC10633838 DOI: 10.1165/rcmb.2023-0175ps] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 08/16/2023] [Indexed: 08/17/2023] Open
Abstract
The onset of chronic obstructive pulmonary disease (COPD) is heterogeneous, and current approaches to define distinct disease phenotypes are lacking. In addition to clinical methodologies, subtyping COPD has also been challenged by the reliance on human lung samples from late-stage diseases. Different COPD phenotypes may be initiated from the susceptibility of different cell types to cigarette smoke, environmental pollution, and infections at early stages that ultimately converge at later stages in airway remodeling and destruction of the alveoli when the disease is diagnosed. This perspective provides discussion points on how studies to date define different cell types of the lung that can initiate COPD pathogenesis, focusing on the susceptibility of macrophages, T and B cells, mast cells, dendritic cells, endothelial cells, and airway epithelial cells. Additional cell types, including fibroblasts, smooth muscle cells, neuronal cells, and other rare cell types not covered here, may also play a role in orchestrating COPD. Here, we discuss current knowledge gaps, such as which cell types drive distinct disease phenotypes and/or stages of the disease and which cells are primarily affected by the genetic variants identified by whole genome-wide association studies. Applying new technologies that interrogate the functional role of a specific cell type or a combination of cell types as well as single-cell transcriptomics and proteomic approaches are creating new opportunities to understand and clarify the pathophysiology and thereby the clinical heterogeneity of COPD.
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Affiliation(s)
- Yohannes Tesfaigzi
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jeffrey L. Curtis
- Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Michigan
- Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Michigan
| | - Irina Petrache
- Division of Pulmonary Critical Care and Sleep Medicine, National Jewish Health, Denver, Colorado
- University of Colorado, Denver, Colorado
| | - Francesca Polverino
- Section of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, College of Medicine, Baylor University, Houston, Texas
| | - Farrah Kheradmand
- Section of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, College of Medicine, Baylor University, Houston, Texas
| | - Ian M. Adcock
- Department of Medicine, National Heart and Lung Institute, Imperial College London, London, United Kingdom; and
| | - Stephen I. Rennard
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, Nebraska
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Zhou X, Pu Y, Zhang D, Guan Y, Lu Y, Zhang W, Fu C, Fang Q, Zhang H, Liu S, Fan L. Development of machine learning model to predict pulmonary function with low-dose CT-derived parameter response mapping in a community-based chest screening cohort. J Appl Clin Med Phys 2023; 24:e14171. [PMID: 37782241 PMCID: PMC10647993 DOI: 10.1002/acm2.14171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 09/14/2023] [Accepted: 09/20/2023] [Indexed: 10/03/2023] Open
Abstract
PURPOSE To construct and evaluate the performance of a machine learning-based low dose computed tomography (LDCT)-derived parametric response mapping (PRM) model for predicting pulmonary function test (PFT) results. MATERIALS AND METHODS A total of 615 subjects from a community-based screening population (40-74 years old) with PFT parameters, including the ratio of the first second forced expiratory volume to forced vital capacity (FEV1/FVC), the percentage of forced expiratory volume in the one second predicted (FEV1%), and registered inspiration-to-expiration chest CT scanning were enrolled retrospectively. Subjects were classified into a normal, high risk, and COPD group based on PFT. Data of 72 PRM-derived quantitative parameters were collected, including volume and volume percentage of emphysema, functional-small airways disease, and normal lung tissue. A machine-learning with random forest regression model and a multilayer perceptron (MLP) model were constructed and tested on PFT prediction, which was followed by evaluation of classification performance based on the PFT predictions. RESULTS The machine-learning model based on PRM parameters showed better performance for predicting PFT than MLP, with a coefficient of determination (R2 ) of 0.749 and 0.792 for FEV1/FVC and FEV1%, respectively. The Mean Squared Errors (MSE) for FEV1/FVC and FEV1% are 0.0030 and 0.0097 for the random forest model, respectively. The Root Mean Squared Errors (RMSE) for FEV1/FVC and FEV1% are 0.055 and 0.098, respectively. The sensitivity, specificity, and accuracy for differentiating between the normal group and high-risk group were 34/40 (85%), 65/72 (90%), and 99/112 (88%), respectively. For differentiating between the non-COPD group and COPD group, the sensitivity, specificity, and accuracy were 8/9 (89%), 112/112 (100%), 120/121 (99%), respectively. CONCLUSIONS The machine learning-based random forest model predicts PFT results in a community screening population based on PRM, and it identifies high risk COPD from normal populations with high sensitivity and reliably predicts of high-risk COPD.
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Affiliation(s)
- Xiuxiu Zhou
- Department of RadiologySecond Affiliated Hospital of PLA Naval Medical UniversityShanghaiChina
| | - Yu Pu
- Department of RadiologySecond Affiliated Hospital of PLA Naval Medical UniversityShanghaiChina
| | - Di Zhang
- Department of RadiologySecond Affiliated Hospital of PLA Naval Medical UniversityShanghaiChina
| | - Yu Guan
- Department of RadiologySecond Affiliated Hospital of PLA Naval Medical UniversityShanghaiChina
| | - Yang Lu
- Shanghai Aitrox Technology Corporation LimitedShanghaiChina
| | - Weidong Zhang
- Shanghai Aitrox Technology Corporation LimitedShanghaiChina
| | - Chi‐Cheng Fu
- Shanghai Aitrox Technology Corporation LimitedShanghaiChina
| | - Qu Fang
- Shanghai Aitrox Technology Corporation LimitedShanghaiChina
| | - Hanxiao Zhang
- Department of RadiologySecond Affiliated Hospital of PLA Naval Medical UniversityShanghaiChina
| | - Shiyuan Liu
- Department of RadiologySecond Affiliated Hospital of PLA Naval Medical UniversityShanghaiChina
| | - Li Fan
- Department of RadiologySecond Affiliated Hospital of PLA Naval Medical UniversityShanghaiChina
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20
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Dai Q, Zhu X, Zhang J, Dong Z, Pompeo E, Zheng J, Shi J. The utility of quantitative computed tomography in cohort studies of chronic obstructive pulmonary disease: a narrative review. J Thorac Dis 2023; 15:5784-5800. [PMID: 37969311 PMCID: PMC10636446 DOI: 10.21037/jtd-23-1421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 09/27/2023] [Indexed: 11/17/2023]
Abstract
Background and Objective Chronic obstructive pulmonary disease (COPD) is a significant contributor to global morbidity and mortality. Quantitative computed tomography (QCT), a non-invasive imaging modality, offers the potential to assess lung structure and function in COPD patients. Amidst the coronavirus disease 2019 (COVID-19) pandemic, chest computed tomography (CT) scans have emerged as a viable alternative for assessing pulmonary function (e.g., spirometry), minimizing the risk of aerosolized virus transmission. However, the clinical application of QCT measurements is not yet widespread enough, necessitating broader validation to determine its usefulness in COPD management. Methods We conducted a search in the PubMed database in English from January 1, 2013 to April 20, 2023, using keywords and controlled vocabulary related to QCT, COPD, and cohort studies. Key Content and Findings Existing studies have demonstrated the potential of QCT in providing valuable information on lung volume, airway geometry, airway wall thickness, emphysema, and lung tissue density in COPD patients. Moreover, QCT values have shown robust correlations with pulmonary function tests, and can predict exacerbation risk and mortality in patients with COPD. QCT can even discern COPD subtypes based on phenotypic characteristics such as emphysema predominance, supporting targeted management and interventions. Conclusions QCT has shown promise in cohort studies related to COPD, since it can provide critical insights into the pathogenesis and progression of the disease. Further research is necessary to determine the clinical significance of QCT measurements for COPD management.
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Affiliation(s)
- Qi Dai
- School of Medicine, Tongji University, Shanghai, China
- Department of Radiology, Ningbo No.2 Hospitall, Ningbo, China
| | - Xiaoxiao Zhu
- Department of Respiratory and Critical Care Medicine, Ningbo No.2 Hospital, Ningbo, China
| | - Jingfeng Zhang
- Department of Radiology, Ningbo No.2 Hospitall, Ningbo, China
| | - Zhaoxing Dong
- Department of Respiratory and Critical Care Medicine, Ningbo No.2 Hospital, Ningbo, China
| | - Eugenio Pompeo
- Department of Thoracic Surgery, Policlinico Tor Vergata University, Rome, Italy
| | - Jianjun Zheng
- Department of Radiology, Ningbo No.2 Hospitall, Ningbo, China
| | - Jingyun Shi
- School of Medicine, Tongji University, Shanghai, China
- Department of Radiology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
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Weber P, Menezes AMB, Gonçalves H, de Oliveira PD, Wendt A, Perez-Padilla R, Wehrmeister FC. Smoking exposure trajectories and pulmonary function in early adulthood in a Brazilian cohort. Pulmonology 2023:S2531-0437(23)00168-X. [PMID: 37903685 DOI: 10.1016/j.pulmoe.2023.09.005] [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: 06/26/2022] [Revised: 08/29/2023] [Accepted: 09/15/2023] [Indexed: 11/01/2023] Open
Abstract
OBJECTIVES To investigate smoking trajectories and their association with pulmonary function (PF) and respiratory symptoms at age 22. METHODS Data from a population-based cohort study of 3350 individuals and their spirometries were analysed. The outcomes were: forced expiratory volume in the first second (FEV1), forced vital capacity (FVC), forced expiratory flow at the mid expiratory phase (FEF25-75 %), FEV1/FVC and FEF25-75/FVC ratio. Smoking data were collected at perinatal follow-up (gestational exposure) and 15, 18 and 22 years. Group-based trajectory model was applied. RESULTS Four groups were identified: no exposure (NE), gestational (GE), gestational and adulthood (GAE) and continuous (CE) exposure. Both CE and GAE trajectories were associated with lower values of FEV1/FVC (-1.77pp; p = 0.01 and -1.58 pp; p<0.001 respectively) and FEF25-75/FVC ratio (-7.27pp; p = 0.019 and -6.04pp; p<0.001 respectively) compared to the NE trajectory. Lower FEV1 and FEF25-75 % values were also related to the GAE trajectory (-68 ml; p = 0.03 and -253 ml/s;p<0.001 respectively). Compared to those who never smoked, individuals who smoked 10 or more cigarettes daily presented a reduction in the FEV1/FVC ratio by 1.37pp (p<0.001), FEF25-75 % by 126 ml (p = 0.012) and FEF25-75 %/FVC ratio by 3.62pp (p = 0.011). CE trajectory showed higher odds of wheezing (OR 4.14; p<0.001) and cough (OR 2.39; p = 0.002) compared to the non-exposed group. CONCLUSIONS The in-uterus exposure to maternal smoking reduces PF later in life. However, the perpetuation of smoking behaviour throughout adolescence and early adulthood is determinant for PF main reduction and the emergence of respiratory-related symptoms.
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Affiliation(s)
- P Weber
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil; Brazilian Company of Hospital Services (EBSERH), Brasilia, Brazil.
| | - A M B Menezes
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - H Gonçalves
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - P D de Oliveira
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil; Brazilian Company of Hospital Services (EBSERH), Brasilia, Brazil
| | - A Wendt
- Graduate Program in Health Technology, Pontifical Catholic University of Parana, Curitiba, Brazil
| | - R Perez-Padilla
- National Institute of Respiratory Diseases (INER), Mexico City, Mexico
| | - F C Wehrmeister
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
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Rogliani P, Radovanovic D, Ora J, Starc N, Verri S, Pistocchini E, Calzetta L. Assessing the relationship between cardiovascular and small airway disease and acute events in COPD: The ARCADIA study protocol. Pulm Pharmacol Ther 2023; 82:102231. [PMID: 37414133 DOI: 10.1016/j.pupt.2023.102231] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 06/26/2023] [Accepted: 07/03/2023] [Indexed: 07/08/2023]
Abstract
The initial alterations of chronic obstructive pulmonary disease (COPD) involve the small airways. Small airway disease (SAD) is related to lung hyperinflation and air trapping. Several lung function tests may detect the presence of SAD, namely forced mid-expiratory flows, residual volume (RV), RV/total lung capacity (TLC) ratio, functional residual capacity, airway resistances obtained with body-plethysmography and oscillometry, and the single-breath nitrogen washout test. Additionally, high-resolution computed tomography can detect SAD. In addition to SAD, COPD is related to cardiovascular disease (CVD) such as heart failure, peripheral vascular disease, and ischemic heart disease. No studies have assessed the relationship between CVD, COPD, and SAD. Therefore, the main objective of the Assessing the Relationship between Cardiovascular and small Airway Disease and Acute events in COPD (ARCADIA) study is to assess the risk of CVD in COPD patients according to SAD in a real-life setting. The correlation between CVD, mortality, and acute exacerbation of COPD (AECOPD) is also evaluated. ARCADIA is a 52-week prospective, multicentre, pilot, observational, cohort study conducted in ≥22 pulmonary centres in Italy and that enrols ≥500 COPD patients, regardless of disease severity (protocol registration: ISRCTN49392136). SAD is evaluated at baseline, after that CVD, mortality, and AECOPD are recorded at 6 and 12 months. Bayesian inference is used to quantify the risk and correlation of the investigated outcomes in COPD patients according to SAD. The ARCADIA study provides relevant findings in the daily clinical management of COPD patients.
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Affiliation(s)
- Paola Rogliani
- Department of Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy.
| | - Dejan Radovanovic
- Division of Respiratory Diseases, Ospedale Luigi Sacco, Polo Universitario, ASST Fatebenefratelli-Sacco, Department of Biomedical and Clinical Sciences (DIBIC), Università degli Studi di Milano, Milano, Italy
| | - Josuel Ora
- Department of Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy
| | - Nadia Starc
- Department of Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy
| | - Stefano Verri
- Department of Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy
| | - Elena Pistocchini
- Department of Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy
| | - Luigino Calzetta
- Department of Medicine and Surgery, University of Parma, Parma, Italy
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23
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Bhatt SP, Nakhmani A, Fortis S, Strand MJ, Silverman EK, Sciurba FC, Bodduluri S. FEV 1/FVC Severity Stages for Chronic Obstructive Pulmonary Disease. Am J Respir Crit Care Med 2023; 208:676-684. [PMID: 37339502 PMCID: PMC10515563 DOI: 10.1164/rccm.202303-0450oc] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 06/20/2023] [Indexed: 06/22/2023] Open
Abstract
Rationale: The diagnosis of chronic obstructive pulmonary disease (COPD) is based on a low FEV1/FVC ratio, but the severity of COPD is classified using FEV1% predicted (ppFEV1). Objectives: To test a new severity classification scheme for COPD using FEV1/FVC ratio, a more robust measure of airflow obstruction than ppFEV1. Methods: In COPDGene (Genetic Epidemiology of COPD) (N = 10,132), the severity of airflow obstruction was categorized by Global Initiative for Chronic Obstructive Lung Disease (GOLD) stages 1-4 (ppFEV1 of ⩾80%, ⩾50-80%, ⩾30-50%, and <30%). A new severity classification (STaging of Airflow obstruction by Ratio; STAR) was tested in COPDGene-FEV1/FVC ⩾0.60 to <0.70, ⩾0.50 to <0.60, ⩾0.40 to <0.50, and <0.40, respectively, for stages 1-4-and applied to the combined Pittsburgh SCCOR and Emphysema COPD Research Registry for replication (N = 2,017). Measurements and Main Results: The agreements (weighted Bangdiwala B values) between GOLD and the new FEV1/FVC ratio severity stages were 0.89 in COPDGene and 0.88 in the Pittsburgh cohort. In COPDGene and the Pittsburgh cohort, compared with GOLD staging, STAR provided significant discrimination between the absence of airflow obstruction and stage 1 for all-cause mortality, respiratory quality of life, dyspnea, airway wall thickness, exacerbations, and lung function decline. No major differences were noted for emphysema, small airway disease, and 6-minute-walk distance. The STAR classification system identified a greater number of adults with stage 3/4 disease who would be eligible for lung transplantation and lung volume reduction procedure evaluations. Conclusions: The new STAR severity classification scheme provides discrimination for mortality that is similar to the GOLD classification but with a more uniform gradation of disease severity. STAR differentiates patients' symptoms, disease burden, and prognosis better than the existing scheme based on ppFEV1, and is less sensitive to race/ethnicity and other demographic characteristics.
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Affiliation(s)
- Surya P. Bhatt
- UAB Lung Imaging Lab
- Division of Pulmonary, Allergy and Critical Care Medicine, and
| | - Arie Nakhmani
- UAB Lung Imaging Lab
- Department of Electrical and Computer Engineering, University of Alabama at Birmingham, Birmingham, Alabama
| | - Spyridon Fortis
- Division of Pulmonary, Critical Care and Occupational Medicine, University of Iowa Hospital, Iowa City, Iowa
| | - Matthew J. Strand
- Division of Biostatistics and Bioinformatics, Office of Academic Affairs, National Jewish Health, Denver, Colorado
| | - Edwin K. Silverman
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts; and
| | - Frank C. Sciurba
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Sandeep Bodduluri
- UAB Lung Imaging Lab
- Division of Pulmonary, Allergy and Critical Care Medicine, and
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Gerard SE, Chaudhary MFA, Herrmann J, Christensen GE, Estépar RSJ, Reinhardt JM, Hoffman EA. Direct estimation of regional lung volume change from paired and single CT images using residual regression neural network. Med Phys 2023; 50:5698-5714. [PMID: 36929883 PMCID: PMC10743098 DOI: 10.1002/mp.16365] [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: 07/19/2022] [Revised: 02/11/2023] [Accepted: 03/01/2023] [Indexed: 03/18/2023] Open
Abstract
BACKGROUND Chest computed tomography (CT) enables characterization of pulmonary diseases by producing high-resolution and high-contrast images of the intricate lung structures. Deformable image registration is used to align chest CT scans at different lung volumes, yielding estimates of local tissue expansion and contraction. PURPOSE We investigated the utility of deep generative models for directly predicting local tissue volume change from lung CT images, bypassing computationally expensive iterative image registration and providing a method that can be utilized in scenarios where either one or two CT scans are available. METHODS A residual regression convolutional neural network, called Reg3DNet+, is proposed for directly regressing high-resolution images of local tissue volume change (i.e., Jacobian) from CT images. Image registration was performed between lung volumes at total lung capacity (TLC) and functional residual capacity (FRC) using a tissue mass- and structure-preserving registration algorithm. The Jacobian image was calculated from the registration-derived displacement field and used as the ground truth for local tissue volume change. Four separate Reg3DNet+ models were trained to predict Jacobian images using a multifactorial study design to compare the effects of network input (i.e., single image vs. paired images) and output space (i.e., FRC vs. TLC). The models were trained and evaluated on image datasets from the COPDGene study. Models were evaluated against the registration-derived Jacobian images using local, regional, and global evaluation metrics. RESULTS Statistical analysis revealed that both factors - network input and output space - were significant determinants for change in evaluation metrics. Paired-input models performed better than single-input models, and model performance was better in the output space of FRC rather than TLC. Mean structural similarity index for paired-input models was 0.959 and 0.956 for FRC and TLC output spaces, respectively, and for single-input models was 0.951 and 0.937. Global evaluation metrics demonstrated correlation between registration-derived Jacobian mean and predicted Jacobian mean: coefficient of determination (r2 ) for paired-input models was 0.974 and 0.938 for FRC and TLC output spaces, respectively, and for single-input models was 0.598 and 0.346. After correcting for effort, registration-derived lobar volume change was strongly correlated with the predicted lobar volume change: for paired-input models r2 was 0.899 for both FRC and TLC output spaces, and for single-input models r2 was 0.803 and 0.862, respectively. CONCLUSIONS Convolutional neural networks can be used to directly predict local tissue mechanics, eliminating the need for computationally expensive image registration. Networks that use paired CT images acquired at TLC and FRC allow for more accurate prediction of local tissue expansion compared to networks that use a single image. Networks that only require a single input image still show promising results, particularly after correcting for effort, and allow for local tissue expansion estimation in cases where multiple CT scans are not available. For single-input networks, the FRC image is more predictive of local tissue volume change compared to the TLC image.
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Affiliation(s)
- Sarah E. Gerard
- Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa, USA
- Department of Radiology, University of Iowa, Iowa City, Iowa, USA
| | | | - Jacob Herrmann
- Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa, USA
| | - Gary E. Christensen
- Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, USA
- Department of Radiation Oncology, University of Iowa, Iowa City, Iowa, USA
| | | | - Joseph M. Reinhardt
- Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa, USA
- Department of Radiology, University of Iowa, Iowa City, Iowa, USA
| | - Eric A. Hoffman
- Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa, USA
- Department of Radiology, University of Iowa, Iowa City, Iowa, USA
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Bhatt SP, Nakhmani A, Wilson CG, Bodduluri S. Optimal Threshold of FEV t/FVC Ratio for Detection of Airflow Limitation Associated with Structural Lung Disease. Am J Respir Crit Care Med 2023; 208:498-501. [PMID: 37285809 PMCID: PMC10449078 DOI: 10.1164/rccm.202302-0205le] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 05/31/2023] [Indexed: 06/09/2023] Open
Affiliation(s)
- Surya P. Bhatt
- UAB Lung Imaging Lab
- UAB Lung Health Center
- Division of Pulmonary, Allergy and Critical Care Medicine, and
| | - Arie Nakhmani
- UAB Lung Imaging Lab
- Department of Electrical and Computer Engineering, University of Alabama at Birmingham, Birmingham, Alabama; and
| | - Carla G. Wilson
- Research Informatics Services, National Jewish Health, Denver, Colorado
| | - Sandeep Bodduluri
- UAB Lung Imaging Lab
- UAB Lung Health Center
- Division of Pulmonary, Allergy and Critical Care Medicine, and
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Shiraishi Y, Tanabe N, Shimizu K, Oguma A, Shima H, Sakamoto R, Yamazaki H, Oguma T, Sato A, Suzuki M, Makita H, Muro S, Nishimura M, Sato S, Konno S, Hirai T. Stronger Associations of Centrilobular Than Paraseptal Emphysema With Longitudinal Changes in Diffusing Capacity and Mortality in COPD. Chest 2023; 164:327-338. [PMID: 36736486 DOI: 10.1016/j.chest.2023.01.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 12/27/2022] [Accepted: 01/24/2023] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND The factors associated with longitudinal changes in diffusing capacity remain unclear among patients with COPD. Centrilobular emphysema (CLE) and paraseptal emphysema (PSE) are major emphysema subtypes that may have distinct clinical-physiological impacts in these patients. RESEARCH QUESTION Are CLE and PSE differently associated with longitudinal changes in diffusing capacity and mortality in patients with COPD? STUDY DESIGN AND METHODS This pooled analysis included 399 patients with COPD from two prospective observational COPD cohorts. CLE and PSE were visually assessed on CT scan according to the Fleischner Society statement. The diffusing capacity and transfer coefficient of the lung for carbon monoxide (Dlco and KCO) and FEV1 were evaluated at least annually over a 5-year period. Mortality was recorded over 10 years. Longitudinal changes in FEV1, Dlco, and KCO and mortality were compared between mild or less severe and moderate or more severe CLE and between present and absent PSE in each Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage. RESULTS The Dlco and KCO decline was weakly associated with FEV1 and greater in GOLD stage 3 or higher than in GOLD stages 1 and 2. Furthermore, moderate or more severe CLE, but not present PSE, was associated with steeper declines in Dlco for GOLD stages 1 and 3 or higher and KCO for all GOLD stages independent of age, sex, height, and smoking history. The moderate or more severe CLE, but not present PSE, was associated with additional FEV1 decline and higher 10-year mortality among patients with GOLD stage 3 or higher. INTERPRETATION A CT scan finding of moderate or more severe CLE, but not PSE, was associated with a subsequent accelerated impairment in diffusing capacity and higher long-term mortality in severe GOLD stage among patients with COPD.
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Affiliation(s)
- Yusuke Shiraishi
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Naoya Tanabe
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
| | - Kaoruko Shimizu
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Akira Oguma
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Hiroshi Shima
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Ryo Sakamoto
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hajime Yamazaki
- Section of Clinical Epidemiology, Department of Community Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Tsuyoshi Oguma
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Atsuyasu Sato
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Masaru Suzuki
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Hironi Makita
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan; Hokkaido Medical Research Institute for Respiratory Diseases, Sapporo, Japan
| | - Shigeo Muro
- Department of Respiratory Medicine, Nara Medical University, Kashihara, Japan
| | - Masaharu Nishimura
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan; Hokkaido Medical Research Institute for Respiratory Diseases, Sapporo, Japan
| | - Susumu Sato
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan; Department of Respiratory Care and Sleep Control Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Satoshi Konno
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Toyohiro Hirai
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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Raoof S, Shah M, Braman S, Agrawal A, Allaqaband H, Bowler R, Castaldi P, DeMeo D, Fernando S, Hall CS, Han MK, Hogg J, Humphries S, Lee HY, Lee KS, Lynch D, Machnicki S, Mehta A, Mehta S, Mina B, Naidich D, Naidich J, Ohno Y, Regan E, van Beek EJR, Washko G, Make B. Lung Imaging in COPD Part 2: Emerging Concepts. Chest 2023; 164:339-354. [PMID: 36907375 PMCID: PMC10475822 DOI: 10.1016/j.chest.2023.02.049] [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: 10/06/2022] [Revised: 02/23/2023] [Accepted: 02/25/2023] [Indexed: 03/13/2023] Open
Abstract
The diagnosis, prognostication, and differentiation of phenotypes of COPD can be facilitated by CT scan imaging of the chest. CT scan imaging of the chest is a prerequisite for lung volume reduction surgery and lung transplantation. Quantitative analysis can be used to evaluate extent of disease progression. Evolving imaging techniques include micro-CT scan, ultra-high-resolution and photon-counting CT scan imaging, and MRI. Potential advantages of these newer techniques include improved resolution, prediction of reversibility, and obviation of radiation exposure. This article discusses important emerging techniques in imaging patients with COPD. The clinical usefulness of these emerging techniques as they stand today are tabulated for the benefit of the practicing pulmonologist.
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Affiliation(s)
- Suhail Raoof
- Northwell Health, Lenox Hill Hospital, New York, NY.
| | - Manav Shah
- Northwell Health, Lenox Hill Hospital, New York, NY
| | - Sidney Braman
- Icahn School of Medicine at Mount Sinai, New York, NY
| | | | | | | | | | - Dawn DeMeo
- Brigham and Women's Hospital, Boston, MA
| | | | | | | | - James Hogg
- University of British Columbia, Vancouver, BC, Canada
| | | | - Ho Yun Lee
- Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea; Department of Health Sciences and Technology, Sungkyunkwan University, ChangWon, South Korea
| | - Kyung Soo Lee
- Sungkyunkwan University School of Medicine, Samsung ChangWon Hospital, ChangWon, South Korea
| | | | | | | | | | - Bushra Mina
- Northwell Health, Lenox Hill Hospital, New York, NY
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Carey KJ, Hotvedt P, Mummy DG, Lee KE, Denlinger LC, Schiebler ML, Sorkness RL, Jarjour NN, Hatt CR, Galban CJ, Fain SB. Comparison of hyperpolarized 3He-MRI, CT based parametric response mapping, and mucus scores in asthmatics. Front Physiol 2023; 14:1178339. [PMID: 37593238 PMCID: PMC10431597 DOI: 10.3389/fphys.2023.1178339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 07/17/2023] [Indexed: 08/19/2023] Open
Abstract
Purpose: The purpose of this study was to anatomically correlate ventilation defects with regions of air trapping by whole lung, lung lobe, and airway segment in the context of airway mucus plugging in asthma. Methods: A total of 34 asthmatics [13M:21F, 13 mild/moderate, median age (range) of 49.5 (36.8-53.3) years and 21 severe, 56.1 (47.1-62.6) years] and 4 healthy subjects [1M:3F, 38.5 (26.6-52.2) years] underwent HP 3He MRI and CT imaging. HP 3He MRI was assessed for ventilation defects using a semi-automated k-means clustering algorithm. Inspiratory and expiratory CTs were analyzed using parametric response mapping (PRM) to quantify markers of emphysema and functional small airways disease (fSAD). Segmental and lobar lung masks were obtained from CT and registered to HP 3He MRI in order to localize ventilation defect percent (VDP), at the lobar and segmental level, to regions of fSAD and mucus plugging. Spearman's correlation was utilized to compare biomarkers on a global and lobar level, and a multivariate analysis was conducted to predict segmental fSAD given segmental VDP (sVDP) and mucus score as variables in order to further understand the functional relationships between regional measures of obstruction. Results: On a global level, fSAD was correlated with whole lung VDP (r = 0.65, p < 0.001), mucus score (r = 0.55, p < 0.01), and moderately correlated (-0.60 ≤ r ≤ -0.56, p < 0.001) to percent predicted (%p) FEV1, FEF25-75 and FEV1/FVC, and more weakly correlated to FVC%p (-0.38 ≤ r ≤ -0.35, p < 0.001) as expected from previous work. On a regional level, lobar VDP, mucus scores, and fSAD were also moderately correlated (r from 0.45-0.66, p < 0.01). For segmental colocalization, the model of best fit was a piecewise quadratic model, which suggests that sVDP may be increasing due to local airway obstruction that does not manifest as fSAD until more extensive disease is present. sVDP was more sensitive to the presence of a mucus plugs overall, but the prediction of fSAD using multivariate regression showed an interaction in the presence of a mucus plugs when sVDP was between 4% and 10% (p < 0.001). Conclusion: This multi-modality study in asthma confirmed that areas of ventilation defects are spatially correlated with air trapping at the level of the airway segment and suggests VDP and fSAD are sensitive to specific sources of airway obstruction in asthma, including mucus plugs.
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Affiliation(s)
- Katherine J. Carey
- Department of Medical Physics, University of Wisconsin—Madison, Madison, WI, United States
- Department of Radiology, University of Wisconsin—Madison, Madison, WI, United States
- Imbio LLC, Minneapolis, MN, United States
| | - Peter Hotvedt
- Department of Nuclear Engineering, University of Michigan—Ann Arbor, Ann Arbor, MI, United States
| | - David G. Mummy
- Center for In Vivo Microscopy, Department of Radiology, Duke University, Durham, NC, United States
- Center for In Vivo Microscopy, Duke University, Durham, NC, United States
| | - Kristine E. Lee
- Department of Biostatistics, University of Wisconsin—Madison, Madison, WI, United States
| | - Loren C. Denlinger
- Division of Allergy, Pulmonary, and Critical Care Medicine, University of Wisconsin—Madison, Madison, WI, United States
| | - Mark L. Schiebler
- Department of Radiology, University of Wisconsin—Madison, Madison, WI, United States
| | - Ronald L. Sorkness
- School of Pharmacy, University of Wisconsin—Madison, Madison, WI, United States
| | - Nizar N. Jarjour
- Division of Allergy, Pulmonary, and Critical Care Medicine, University of Wisconsin—Madison, Madison, WI, United States
| | - Charles R. Hatt
- Imbio LLC, Minneapolis, MN, United States
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States
| | - Craig J. Galban
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States
| | - Sean B. Fain
- Department of Radiology, University of Iowa, Iowa City, IA, United States
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Konietzke P, Brunner C, Konietzke M, Wagner WL, Weinheimer O, Heußel CP, Herth FJF, Trudzinski F, Kauczor HU, Wielpütz MO. GOLD stage-specific phenotyping of emphysema and airway disease using quantitative computed tomography. Front Med (Lausanne) 2023; 10:1184784. [PMID: 37534319 PMCID: PMC10393128 DOI: 10.3389/fmed.2023.1184784] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Accepted: 06/22/2023] [Indexed: 08/04/2023] Open
Abstract
Background In chronic obstructive pulmonary disease (COPD) abnormal lung function is related to emphysema and airway obstruction, but their relative contribution in each GOLD-stage is not fully understood. In this study, we used quantitative computed tomography (QCT) parameters for phenotyping of emphysema and airway abnormalities, and to investigate the relative contribution of QCT emphysema and airway parameters to airflow limitation specifically in each GOLD stage. Methods Non-contrast computed tomography (CT) of 492 patients with COPD former GOLD 0 COPD and COPD stages GOLD 1-4 were evaluated using fully automated software for quantitative CT. Total lung volume (TLV), emphysema index (EI), mean lung density (MLD), and airway wall thickness (WT), total diameter (TD), lumen area (LA), and wall percentage (WP) were calculated for the entire lung, as well as for all lung lobes separately. Results from the 3rd-8th airway generation were aggregated (WT3-8, TD3-8, LA3-8, WP3-8). All subjects underwent whole-body plethysmography (FEV1%pred, VC, RV, TLC). Results EI was higher with increasing GOLD stages with 1.0 ± 1.8% in GOLD 0, 4.5 ± 9.9% in GOLD 1, 19.4 ± 15.8% in GOLD 2, 32.7 ± 13.4% in GOLD 3 and 41.4 ± 10.0% in GOLD 4 subjects (p < 0.001). WP3-8 showed no essential differences between GOLD 0 and GOLD 1, tended to be higher in GOLD 2 with 52.4 ± 7.2%, and was lower in GOLD 4 with 50.6 ± 5.9% (p = 0.010 - p = 0.960). In the upper lobes WP3-8 showed no significant differences between the GOLD stages (p = 0.824), while in the lower lobes the lowest WP3-8 was found in GOLD 0/1 with 49.9 ± 6.5%, while higher values were detected in GOLD 2 with 51.9 ± 6.4% and in GOLD 3/4 with 51.0 ± 6.0% (p < 0.05). In a multilinear regression analysis, the dependent variable FEV1%pred can be predicted by a combination of both the independent variables EI (p < 0.001) and WP3-8 (p < 0.001). Conclusion QCT parameters showed a significant increase of emphysema from GOLD 0-4 COPD. Airway changes showed a different spatial pattern with higher values of relative wall thickness in the lower lobes until GOLD 2 and subsequent lower values in GOLD3/4, whereas there were no significant differences in the upper lobes. Both, EI and WP5-8 are independently correlated with lung function decline.
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Affiliation(s)
- Philip Konietzke
- Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Christian Brunner
- Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Marilisa Konietzke
- Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
| | - Willi Linus Wagner
- Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Oliver Weinheimer
- Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Claus Peter Heußel
- Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Felix J. F. Herth
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
- Department of Pulmonology, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Franziska Trudzinski
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
- Department of Pulmonology, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Hans-Ulrich Kauczor
- Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Mark Oliver Wielpütz
- Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
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Abstract
Whereas COPD is currently defined as the presence of spirometric obstruction, the pathologic changes in individuals at risk including chronic mucus hypersecretion and emphysema have been recognized for centuries. At the same time, we have struggled to define criteria that would help us identify patients at an early stage, prior to the development of pulmonary function abnormality. The concept of GOLD 0 was introduced in the hopes that symptoms would help to identify those at greatest risk for progression. While symptoms are a risk factor, in particular chronic bronchitis, the term was abandoned as the majority of individuals at risk who progress to COPD do not have symptoms. Since then, the related terms pre-COPD and early COPD have been introduced. They are similar in that the term pre-COPD identifies individuals based on symptoms, physiologic, or radiographic abnormality that do not meet criteria for COPD but are clearly at risk. The term early COPD extends that concept further, focusing on individuals who have early physiologic or radiographic abnormality but at the same time are young, thereby excluding those with late mild disease who may be less likely to progress. Whereas individuals with early COPD are now being recruited for observational studies, we are still challenged with determining the best way to identify patients at risk who should undergo additional testing as well as developing specific therapies for patients with early-stage disease.
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Affiliation(s)
- Bo Young Lee
- Division of Allergy and Respiratory Diseases, Soonchunhyang University Seoul Hospital, Seoul, Korea
| | - MeiLan K Han
- Division of Pulmonary & Critical Care, University of Michigan, Ann Arbor, Michigan.
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Bhatt SP, Nakhmani A, Thimmegowda NM, Sthanam V, Wilson CG, Bhakta NR, Kim YI, Bodduluri S. Parameter D: New Measure of Airflow Obstruction. Ann Am Thorac Soc 2023; 20:993-1002. [PMID: 36989246 DOI: 10.1513/annalsats.202209-816oc] [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: 09/26/2022] [Accepted: 03/27/2023] [Indexed: 03/30/2023] Open
Abstract
Rationale: Currently used spirometry measures of airflow obstruction are influenced by demographics, predominantly by age, complicating selection of diagnostic thresholds for the presence of airflow obstruction. Objectives: To develop diagnostic thresholds for Parameter D, a new metric for detection of airflow obstruction, which quantifies the rate of rise of expiratory volume over time. Methods: We analyzed spirometry data of normal subjects enrolled in the 2007-2008, 2009-2010, and 2011-2012 NHANES (National Health and Nutrition Examination Survey) cohorts and calculated Parameter D using the expiratory volume-time curve. Relationships between demographics and lung function (forced expiratory volume in 1 second [FEV1], FEV1/forced vital capacity [FVC], and Parameter D) were tested using generalized linear models in NHANES and UK Biobank. The variation in lung function explained by demographics was estimated using R2. A diagnostic threshold was developed for Parameter D using population-based percentiles. Based on concordance between the lower limit of normal (LLN) for FEV1/FVC and the Parameter D threshold, four groups were identified: normal (no airflow obstruction by either criterion), D+chronic obstructive pulmonary disease (D+COPD; positive by Parameter D only), D-COPD (positive by LLN only), and COPD (positive by both criteria), and associations with structural lung disease, exacerbations, and mortality were tested using multivariable analyses. Results: In contrast to FEV1 and FEV1/FVC, demographics cumulatively explained only 9% of the variance in Parameter D in NHANES (n = 4,945) and 3% in UK BioBank (n = 109,623). In COPDGene (Genetic Epidemiology of Chronic Obstructive Pulmonary Disease) (n = 9,542), a diagnostic threshold of -3.15 resulted in the identification of an additional 10.8% of participants with airflow obstruction. A total of 3.7% had FEV1/FVC < LLN but were missed by the Parameter D threshold. Compared with subjects in the normal group, after adjustment for age, sex, race, body mass index, pack-years of smoking, and current smoking status, D+COPD was associated with worse structural lung disease (odds ratio [OR] for ⩾5% emphysema, 1.71; 95% confidence interval [CI], 1.37-2.12; OR for functional small airway disease ⩾ 15%, 2.1; 95% CI, 1.79-2.67) and significant symptoms (OR for modified Medical Research Council dyspnea score ⩾ 2, 1.25; 95% CI, 1.07-1.47; OR for St. George's respiratory questionnaire ⩾ 25, 1.31; 95% CI, 1.13-1.53), a greater frequency of exacerbations (incidence rate ratio, 1.26; 95% CI, 1.10-1.46), and higher mortality (hazard ratio, 1.32; 95% CI, 1.10-1.57). Over 5 years, 28% of the D+COPD group versus 8% of normal group progressed to COPD by traditional criteria. Conclusions: Parameter D is not affected by age, and a normal population-based diagnostic threshold results in the early identification of additional individuals with airflow obstruction with a substantial amount of structural lung disease and respiratory symptoms.
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Affiliation(s)
- Surya P Bhatt
- UAB Lung Imaging Lab
- Lung Health Center
- Division of Pulmonary, Allergy, and Critical Care Medicine
| | - Arie Nakhmani
- UAB Lung Imaging Lab
- Department of Electrical and Computer Engineering, and
| | - Nithin M Thimmegowda
- UAB Lung Imaging Lab
- Lung Health Center
- Division of Pulmonary, Allergy, and Critical Care Medicine
| | - Venkata Sthanam
- UAB Lung Imaging Lab
- Lung Health Center
- Division of Pulmonary, Allergy, and Critical Care Medicine
| | - Carla G Wilson
- Department of Biostatistics and Bioinformatics, National Jewish Health, Denver, Colorado; and
| | - Nirav R Bhakta
- Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, University of California San Francisco, San Francisco, California
| | - Young-Il Kim
- Department of Preventive Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Sandeep Bodduluri
- UAB Lung Imaging Lab
- Lung Health Center
- Division of Pulmonary, Allergy, and Critical Care Medicine
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Matsuo Y, Ogawa E, Tsunoda Y, Yamazaki A, Kawashima S, Uchida Y, Nakagawa H, Kinose D, Yamaguchi M, Nakano Y. Inspiratory and Expiratory Computed Tomography Imaging Clusters Reflect Functional Characteristics in Chronic Obstructive Pulmonary Disease. Int J Chron Obstruct Pulmon Dis 2023; 18:1047-1055. [PMID: 37304764 PMCID: PMC10257425 DOI: 10.2147/copd.s405845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 05/28/2023] [Indexed: 06/13/2023] Open
Abstract
Purpose Disease probability measure (DPM) is a useful voxel-wise imaging assessment of gas-trapping and emphysematous lesions in patients with chronic obstructive pulmonary disease (COPD). To elucidate the progression of COPD, we performed a cluster analysis using the following DPM parameters: normal (DPMNormal), gas-trapping (DPMGasTrap), and emphysematous lesions (DPMEmph). Our findings revealed the characteristics of each cluster and the 3-year disease progression using imaging parameters. Patients and Methods Inspiratory and expiratory chest computed tomography (CT) images of 131 patients with COPD were examined, of which 84 were followed up for 3 years. The percentage of low attenuation volume (LAV%) and the square root of the wall area of a hypothetical airway with an internal perimeter of 10 mm (√Aaw at Pi10) were quantitatively measured using inspiratory chest CT. A hierarchical cluster analysis was performed using the DPM parameters at baseline. Five clusters were named according to the dominant DPM parameters: normal (NL), normal-GasTrap (NL-GT), GasTrap (GT), GasTrap-Emphysema (GT-EM), and Emphysema (EM). Results Women were predominantly diagnosed with GT. Forced expiratory volume in 1 s gradually decreased in the following order: NL, NL-GT, GT, GT-EM, and EM. DPMEmph correlated well with LAV%. Four clusters other than NL showed significantly higher values of √Aaw at Pi10 than NL; however, no significant differences were observed among them. In all clusters, DPMEmph increased after 3 years. DPMNormal only increased in the GT cluster. Conclusion Clusters using DPM parameters may reflect the characteristics of COPD and help understand the pathophysiology of the disease.
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Affiliation(s)
- Yumiko Matsuo
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
- Health Administration Center, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Emiko Ogawa
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
- Health Administration Center, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Yoko Tsunoda
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Akio Yamazaki
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Satoru Kawashima
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Yasuki Uchida
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Hiroaki Nakagawa
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Daisuke Kinose
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Masafumi Yamaguchi
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Yasutaka Nakano
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
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Sahardin SN, Jailaini MFM, Abeed NNN, Ban AYL, Hau NB, Azmel AA, Shah SA, Hamid MFA. Impact of Aerobika ® oscillating positive expiratory pressure in improving small airway resistance, lung function, symptoms and exercise capacity in chronic obstructive pulmonary disease. Front Med (Lausanne) 2023; 10:1202380. [PMID: 37332765 PMCID: PMC10272579 DOI: 10.3389/fmed.2023.1202380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2023] [Accepted: 05/15/2023] [Indexed: 06/20/2023] Open
Abstract
Background Aerobika® oscillating positive expiratory pressure (OPEP) device promotes airway clearance in many respiratory diseases. However, studies have yet to focus on its effectiveness in improving small airway resistance via impulse oscillometry (IOS) measurement in COPD subjects. We aim to evaluate the improvement of small airway resistance (via IOS), lung function (spirometry), exercise capacity [via 6-min walking test (6MWT)], symptoms [COPD assessment test (CAT)] and severe exacerbation events among COPD subjects using Aerobika® OPEP. Methods This was a prospective, single-arm interventional study among COPD subjects with small airway disease. Subjects were instructed to use twice daily Aerobika® OPEP (10 min each session); for 24 weeks; as an additional to standard therapy. IOS, spirometry, 6MWT, CAT score and severe exacerbation events were evaluated at baseline, 12 weeks and 24 weeks. Results Fifty-three subjects completed the study. Aerobika® usage showed improvement of IOS parameters; e.g. measurement of airway resistance at 5 Hz (R5), cmH20/L/s, (12-week p = 0.008, 24-week p < 0.001), R5% predicted (12-week p = 0.007, 24-week p < 0.001) and small airway resistance (R5-R20), cmH20/L/s, (12-week p = 0.021, 24-week p < 0.001). There were improvement of lung function; e.g. FEV1, L (12-week p = 0.018, 24-week p = 0.001), FEV1% predicted (12-week p = 0.025, 24-week p = 0.001), FEF25-75, L (12-week p = 0.023, 24-week p = 0.002), and FEF25-75% predicted (12-week p = 0.024, 24-week p < 0.001). CAT score improved at 12 weeks (p < 0.001) and 24 weeks (p < 0.001). Subjects had improved exercise capacity (6MWT, metres) after 24 weeks (p = 0.016). However, there was no significant difference in severe exacerbation events 24 weeks before and after Aerobika® usage. Conclusion Aerobika® OPEP demonstrated significant improvement in small airway resistance as early as 12 weeks of usage, with sustained improvement at 24 weeks. Aerobika® OPEP administration had significantly improved lung function, 6MWT, and CAT scores over 24 weeks. There was no difference in severe exacerbation events.
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Affiliation(s)
- Siti Nurhanis Sahardin
- Respiratory Unit, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | | | - Nik Nuratiqah Nik Abeed
- Respiratory Unit, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Andrea Yu-Lin Ban
- Respiratory Unit, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Ng Boon Hau
- Respiratory Unit, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Azat Azrai Azmel
- Respiratory Unit, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Shamsul Azhar Shah
- Department of Community Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
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Rustam S, Hu Y, Mahjour SB, Rendeiro AF, Ravichandran H, Urso A, D’Ovidio F, Martinez FJ, Altorki NK, Richmond B, Polosukhin V, Kropski JA, Blackwell TS, Randell SH, Elemento O, Shaykhiev R. A Unique Cellular Organization of Human Distal Airways and Its Disarray in Chronic Obstructive Pulmonary Disease. Am J Respir Crit Care Med 2023; 207:1171-1182. [PMID: 36796082 PMCID: PMC10161760 DOI: 10.1164/rccm.202207-1384oc] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 02/15/2023] [Indexed: 02/18/2023] Open
Abstract
Rationale: Remodeling and loss of distal conducting airways, including preterminal and terminal bronchioles (pre-TBs/TBs), underlie progressive airflow limitation in chronic obstructive pulmonary disease (COPD). The cellular basis of these structural changes remains unknown. Objectives: To identify biological changes in pre-TBs/TBs in COPD at single-cell resolution and determine their cellular origin. Methods: We established a novel method of distal airway dissection and performed single-cell transcriptomic profiling of 111,412 cells isolated from different airway regions of 12 healthy lung donors and pre-TBs of 5 patients with COPD. Imaging CyTOF and immunofluorescence analysis of pre-TBs/TBs from 24 healthy lung donors and 11 subjects with COPD were performed to characterize cellular phenotypes at a tissue level. Region-specific differentiation of basal cells isolated from proximal and distal airways was studied using an air-liquid interface model. Measurements and Main Results: The atlas of cellular heterogeneity along the proximal-distal axis of the human lung was assembled and identified region-specific cellular states, including SCGB3A2+ SFTPB+ terminal airway-enriched secretory cells (TASCs) unique to distal airways. TASCs were lost in COPD pre-TBs/TBs, paralleled by loss of region-specific endothelial capillary cells, increased frequency of CD8+ T cells normally enriched in proximal airways, and augmented IFN-γ signaling. Basal cells residing in pre-TBs/TBs were identified as a cellular origin of TASCs. Regeneration of TASCs by these progenitors was suppressed by IFN-γ. Conclusions: Altered maintenance of the unique cellular organization of pre-TBs/TBs, including loss of the region-specific epithelial differentiation in these bronchioles, represents the cellular manifestation and likely the cellular basis of distal airway remodeling in COPD.
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Affiliation(s)
| | - Yang Hu
- Caryl and Israel Englander Institute for Precision Medicine, Department of Physiology and Biophysics, Weill Cornell Medical College, New York, New York
| | | | - Andre F. Rendeiro
- Caryl and Israel Englander Institute for Precision Medicine, Department of Physiology and Biophysics, Weill Cornell Medical College, New York, New York
| | - Hiranmayi Ravichandran
- Caryl and Israel Englander Institute for Precision Medicine, Department of Physiology and Biophysics, Weill Cornell Medical College, New York, New York
| | - Andreacarola Urso
- Department of Surgery, Columbia University Irving Medical Center, New York, New York
| | - Frank D’Ovidio
- Department of Surgery, Columbia University Irving Medical Center, New York, New York
| | | | - Nasser K. Altorki
- Department of Cardiothoracic Surgery, Weill Cornell Medicine, New York, New York
| | - Bradley Richmond
- Department of Veterans Affairs Medical Center, Nashville, Tennessee
- Department of Medicine, Vanderbilt University, Nashville, Tennessee; and
| | | | - Jonathan A. Kropski
- Department of Veterans Affairs Medical Center, Nashville, Tennessee
- Department of Medicine, Vanderbilt University, Nashville, Tennessee; and
| | - Timothy S. Blackwell
- Department of Veterans Affairs Medical Center, Nashville, Tennessee
- Department of Medicine, Vanderbilt University, Nashville, Tennessee; and
| | - Scott H. Randell
- Marsico Lung Institute, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Olivier Elemento
- Caryl and Israel Englander Institute for Precision Medicine, Department of Physiology and Biophysics, Weill Cornell Medical College, New York, New York
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Abozid H, Kirby M, Nasir N, Hartl S, Breyer-Kohansal R, Breyer MK, Burghuber OC, Bourbeau J, Wouters EFM, Tan W. CT airway remodelling and chronic cough. BMJ Open Respir Res 2023; 10:10/1/e001462. [PMID: 37173074 DOI: 10.1136/bmjresp-2022-001462] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 04/21/2023] [Indexed: 05/15/2023] Open
Abstract
RATIONALE Structural airway changes related to chronic cough (CC) are described in the literature, but so far reported data are rare and non-conclusive. Furthermore, they derive mainly from cohorts with small sample sizes. Advanced CT imaging not only allows airway abnormalities to be quantified, but also to count the number of visible airways. The current study evaluates these airway abnormalities in CC and assesses the contribution of CC in addition to CT findings on the progression of airflow limitation, defined as a decline in forced expiratory volume in 1 s (FEV1) over time. METHODS A total of 1183 males and females aged ≥40 years with thoracic CT scans and valid spirometry from Canadian Obstructive Lung Disease, a Canadian multicentre, population-based study has been included in this analysis. Participants were stratified into 286 never-smokers, 297 ever-smokers with normal lung function and 600 with chronic obstructive pulmonary disease (COPD) of different severity grades. Imaging parameters analyses included total airway count (TAC), airway wall thickness, emphysema as well as parameters for functional small airway disease quantification. RESULTS Irrespective of COPD presence, CC was not related to specific airway and lung structure features. Independent of TAC and emphysema score, CC was highly associated with FEV1 decline over time in the entire study population, particularly in ever-smokers (p<0.0001). CONCLUSION The absence of specific structural CT features independently from COPD presence indicate that other underlying mechanisms are contributing to the symptomatology of CC. On top of derived CT parameters, CC seems to be independently associated with FEV1 decline. TRIAL REGISTRATION NUMBER NCT00920348.
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Affiliation(s)
- Hazim Abozid
- Department of Respiratory and Pulmonary Diseases, Clinic Penzing, Vienna, Austria
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
| | - Miranda Kirby
- Department of Physics, Toronto Metropolitan University, Toronto, Ontario, Canada
- Institute for Biomedical Engineering, Science and Technology (iBEST), Unity Health Toronto, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Neha Nasir
- Department of Physics, Toronto Metropolitan University, Toronto, Ontario, Canada
| | - Sylvia Hartl
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Department of Respiratory and Pulmonary Diseases, Clinic Penzing, Vienna Healthcare Group, Vienna, Austria
| | - Robab Breyer-Kohansal
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Department of Respiratory and Pulmonary Diseases, Clinic Penzing, Vienna Healthcare Group, Vienna, Austria
| | - Marie-Kathrin Breyer
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Department of Respiratory and Pulmonary Diseases, Clinic Penzing, Vienna Healthcare Group, Vienna, Austria
| | - Otto C Burghuber
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Faculty for Medicine, Sigmund Freud University, Vienna, Austria
| | - Jean Bourbeau
- Respiratory Epidemiology and Clinical Research Unit, Research Institute, McGill University, Montreal, Québec, Canada
| | - Emiel F M Wouters
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Maastricht University Medical Center, Maastricht, The Netherlands
| | - Wan Tan
- Centre for Heart Lung Innovation, University of British Columbia, St Pauls's Hospital, Vancouver, British Columbia, Canada
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Wang JM, Labaki WW, Murray S, Martinez FJ, Curtis JL, Hoffman EA, Ram S, Bell AJ, Galban CJ, Han MK, Hatt C. Machine learning for screening of at-risk, mild and moderate COPD patients at risk of FEV 1 decline: results from COPDGene and SPIROMICS. Front Physiol 2023; 14:1144192. [PMID: 37153221 PMCID: PMC10161244 DOI: 10.3389/fphys.2023.1144192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 04/03/2023] [Indexed: 05/09/2023] Open
Abstract
Purpose: The purpose of this study was to train and validate machine learning models for predicting rapid decline of forced expiratory volume in 1 s (FEV1) in individuals with a smoking history at-risk-for chronic obstructive pulmonary disease (COPD), Global Initiative for Chronic Obstructive Lung Disease (GOLD 0), or with mild-to-moderate (GOLD 1-2) COPD. We trained multiple models to predict rapid FEV1 decline using demographic, clinical and radiologic biomarker data. Training and internal validation data were obtained from the COPDGene study and prediction models were validated against the SPIROMICS cohort. Methods: We used GOLD 0-2 participants (n = 3,821) from COPDGene (60.0 ± 8.8 years, 49.9% male) for variable selection and model training. Accelerated lung function decline was defined as a mean drop in FEV1% predicted of > 1.5%/year at 5-year follow-up. We built logistic regression models predicting accelerated decline based on 22 chest CT imaging biomarker, pulmonary function, symptom, and demographic features. Models were validated using n = 885 SPIROMICS subjects (63.6 ± 8.6 years, 47.8% male). Results: The most important variables for predicting FEV1 decline in GOLD 0 participants were bronchodilator responsiveness (BDR), post bronchodilator FEV1% predicted (FEV1.pp.post), and CT-derived expiratory lung volume; among GOLD 1 and 2 subjects, they were BDR, age, and PRMlower lobes fSAD. In the validation cohort, GOLD 0 and GOLD 1-2 full variable models had significant predictive performance with AUCs of 0.620 ± 0.081 (p = 0.041) and 0.640 ± 0.059 (p < 0.001). Subjects with higher model-derived risk scores had significantly greater odds of FEV1 decline than those with lower scores. Conclusion: Predicting FEV1 decline in at-risk patients remains challenging but a combination of clinical, physiologic and imaging variables provided the best performance across two COPD cohorts.
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Affiliation(s)
- Jennifer M. Wang
- Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Wassim W. Labaki
- Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Susan Murray
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | | | - Jeffrey L. Curtis
- Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, United States
- Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, MI, United States
| | - Eric A. Hoffman
- Department of Radiology, University of Iowa, Iowa City, IA, United States
| | - Sundaresh Ram
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
| | - Alexander J. Bell
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States
| | - Craig J. Galban
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States
| | - MeiLan K. Han
- Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Charles Hatt
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States
- Imbio Inc., Minneapolis, MN, United States
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Suzuki M, Matsumoto I, Ishida M, Horie Y, Ban H, Takeuchi W, Nakagawa S, Nakagawa T, Kitamura T, Muro S. Investigation of time profile of FEV 1 across the onset of potential COPD: a retrospective cohort study using medical checkup data in Japan. Sci Rep 2023; 13:5454. [PMID: 37012340 PMCID: PMC10070435 DOI: 10.1038/s41598-023-32205-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 03/24/2023] [Indexed: 04/05/2023] Open
Abstract
This study compared the time profile of FEV1 after COPD diagnosis among rapid decliners, slow decliners, and sustainers in the year of COPD diagnosis. COPD subjects were identified from the annual medical checkup records of Hitachi, Ltd., employees in Japan (April 1998-March 2019). Subjects were categorized into 3 groups (rapid decliner [decrease of FEV1 ≥ 63 mL/year], slow decliner [< 63 and ≥ 31 mL/year], and sustainer [< 31 mL/year]) for 5 years. The time profile of FEV1 was compared using mixed-effects model for 5 years after diagnosis; risk factors of rapid decliner were detected using logistic model/gradient boosting decision tree. Of 1294 eligible subjects, 18.6%, 25.7%, and 55.7% were classified as rapid decliners, slow decliners, and sustainers, respectively. The annual rates of FEV1 decline were similar 3 years before and until COPD diagnosis. The mean FEV1 in rapid decliners was 2.82 ± 0.04 L in year 0 and 2.41 ± 0.05 L in year 5, and in sustainers, it was 2.67 ± 0.02 L and 2.72 ± 0.02 L (year 0, p = 0.0004). In conclusion, FEV1 declined yearly before diagnosis and the time profiles of FEV1 were different in the 3 groups after COPD diagnosis. Therefore, appropriate treatment of the 3 groups with regular lung function tests is necessary to follow FEV1 decline after COPD onset.
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Affiliation(s)
- Masaru Suzuki
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Isao Matsumoto
- Department of Respiratory, Inflammation, and Autoimmune, Medical, AstraZeneca K.K., Osaka, Japan.
| | - Masato Ishida
- Department of Respiratory, Inflammation, and Autoimmune, Medical, AstraZeneca K.K., Osaka, Japan
| | - Yoshiharu Horie
- Department of Data Science, Medical, AstraZeneca K.K., Osaka, Japan
- Division of Environmental Medicine and Population Sciences, Department of Social and Environmental Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Hideyuki Ban
- Healthcare IT Research Department, Center for Digital Services-Healthcare, Hitachi, Ltd. Research and Development Group, Tokyo, Japan
| | - Wataru Takeuchi
- Healthcare IT Research Department, Center for Digital Services-Healthcare, Hitachi, Ltd. Research and Development Group, Tokyo, Japan
| | - Shunki Nakagawa
- Healthcare IT Research Department, Center for Digital Services-Healthcare, Hitachi, Ltd. Research and Development Group, Tokyo, Japan
| | - Tohru Nakagawa
- Hitachi Health Care Center, Hitachi, Ltd., Ibaraki, Japan
| | - Tetsuhisa Kitamura
- Division of Environmental Medicine and Population Sciences, Department of Social and Environmental Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Shigeo Muro
- Department of Respiratory Medicine, Nara Medical University, Nara, Japan
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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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39
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Agustí A, Celli BR, Criner GJ, Halpin D, Anzueto A, Barnes P, Bourbeau J, Han MK, Martinez FJ, Montes de Oca M, Mortimer K, Papi A, Pavord I, Roche N, Salvi S, Sin DD, Singh D, Stockley R, López Varela MV, Wedzicha JA, Vogelmeier CF. Global Initiative for Chronic Obstructive Lung Disease 2023 Report: GOLD Executive Summary. Am J Respir Crit Care Med 2023; 207:819-837. [PMID: 36856433 PMCID: PMC10111975 DOI: 10.1164/rccm.202301-0106pp] [Citation(s) in RCA: 104] [Impact Index Per Article: 104.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 02/28/2023] [Indexed: 03/02/2023] Open
Affiliation(s)
- Alvar Agustí
- Univ. Barcelona, Hospital Clinic, IDIBAPS and CIBERES, Spain
| | - Bartolome R. Celli
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Gerard J. Criner
- Lewis Katz School of Medicine at Temple University, Philadelphia, Pennsylvania, USA
| | - David Halpin
- University of Exeter Medical School College of Medicine and Health, University of Exeter, Exeter, Devon, UK
| | - Antonio Anzueto
- South Texas Veterans Health Care System, University of Texas Health, San Antonio, Texas, USA
| | - Peter Barnes
- National Heart & Lung Institute, Imperial College London, United Kingdom
| | - Jean Bourbeau
- McGill University Health Centre, McGill University, Montreal, Canada
| | | | - Fernando J. Martinez
- Weill Cornell Medical Center/ New York-Presbyterian Hospital, New York, New York, USA
| | - Maria Montes de Oca
- Hospital Universitario de Caracas Universidad Central de Venezuela Centro Médico de Caracas, Caracas, Venezuela
| | - Kevin Mortimer
- Liverpool University Hospitals NHS Foundation Trust, UK / National Heart and Lung Institute, Imperial College, London, UK / School of Clinical Medicine, College of Health Sciences, University of Kwazulu-Natal, South Africa
| | | | - Ian Pavord
- Respiratory Medicine Unit and Oxford Respiratory NIHR Biomedical Research Centre, Nuffield Department of Medicine, University of Oxford, UK
| | - Nicolas Roche
- Pneumologie, Hôpital Cochin AP-HP.Centre, Université Paris, France
| | - Sundeep Salvi
- Pulmocare Research and Education (PURE) Foundation, Pune, India
| | - Don D. Sin
- St. Paul’s Hospital University of British Columbia, Vancouver, Canada
| | - Dave Singh
- University of Manchester, Manchester, UK
| | | | | | | | - Claus F. Vogelmeier
- Department of Medicine, Pulmonary and Critical Care Medicine, University Medical Center Giessen and Marburg, Philipps-University, German Center for Lung Research (DZL), Marburg, Germany
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40
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Shima H, Tanabe N, Oguma A, Shimizu K, Kaji S, Terada K, Oguma T, Kubo T, Suzuki M, Makita H, Sato A, Nishimura M, Sato S, Konno S, Hirai T. Subtyping emphysematous COPD by respiratory volume change distributions on CT. Thorax 2023; 78:344-353. [PMID: 35768196 DOI: 10.1136/thoraxjnl-2021-218288] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 05/28/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND There is considerable heterogeneity among patients with emphysematous chronic obstructive pulmonary disease (COPD). We hypothesised that in addition to emphysema severity, ventilation distribution in emphysematous regions would be associated with clinical-physiological impairments in these patients. OBJECTIVE To evaluate whether the discordance between respiratory volume change distributions (from expiration to inspiration) in emphysematous and non-emphysematous regions affects COPD outcomes using two cohorts. METHODS Emphysema was quantified using a low attenuation volume percentage on inspiratory CT (iLAV%). Local respiratory volume changes were calculated using non-rigidly registered expiratory/inspiratory CT. The Ventilation Discordance Index (VDI) represented the log-transformed Wasserstein distance quantifying discordance between respiratory volume change distributions in emphysematous and non-emphysematous regions. RESULTS Patients with COPD in the first cohort (n=221) were classified into minimal emphysema (iLAV% <10%; n=113) and established emphysema with high VDI and low VDI groups (n=46 and 62, respectively). Forced expiratory volume in 1 s (FEV1) was lower in the low VDI group than in the other groups, with no difference between the high VDI and minimal emphysema groups. Higher iLAV%, more severe airway disease and hyperventilated emphysematous regions in the upper-middle lobes were independently associated with lower VDI. The second cohort analyses (n=93) confirmed these findings and showed greater annual FEV1 decline and higher mortality in the low VDI group than in the high VDI group independent of iLAV% and airway disease on CT. CONCLUSION Lower VDI is associated with severe airflow limitation and higher mortality independent of emphysema severity and airway morphological changes in patients with emphysematous COPD.
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Affiliation(s)
- Hiroshi Shima
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Naoya Tanabe
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Akira Oguma
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Kaoruko Shimizu
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Shizuo Kaji
- Institute of Mathematics for Industry, Kyushu University, Fukuoka, Japan
| | - Kunihiko Terada
- Terada Clinic, Respiratory Medicine and General Practice, Himeji, Japan
| | - Tsuyoshi Oguma
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Takeshi Kubo
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Masaru Suzuki
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Hironi Makita
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan.,Hokkaido Medical Research Institute for Respiratory Diseases, Sapporo, Japan
| | - Atsuyasu Sato
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Masaharu Nishimura
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan.,Hokkaido Medical Research Institute for Respiratory Diseases, Sapporo, Japan
| | - Susumu Sato
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Satoshi Konno
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Toyohiro Hirai
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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41
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Chen JW, Shen Y, Yu QS, Gan ZH. Paclitaxel Prodrug Nanomedicine for Potential CT-imaging Guided Breast Cancer Therapy. CHINESE JOURNAL OF POLYMER SCIENCE 2023. [DOI: 10.1007/s10118-023-2958-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
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42
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Toumpanakis D, Usmani OS. Small airways disease in patients with alpha-1 antitrypsin deficiency. Respir Med 2023; 211:107222. [PMID: 36965591 DOI: 10.1016/j.rmed.2023.107222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 03/21/2023] [Accepted: 03/22/2023] [Indexed: 03/27/2023]
Abstract
Alpha-1 antitrypsin deficiency (AATD) is a genetic disorder, characterized by panacinar emphysema mainly in the lower lobes, and predisposes to chronic obstructive pulmonary disease (COPD) at a younger age, especially in patients with concomitant cigarette smoking. Alpha-1 antitrypsin (a1-AT) is a serine protease inhibitor that mainly blocks neutrophil elastase and maintains protease/antiprotease balance in the lung and AATD is caused by mutations in the SERPINA1 gene that encodes a1-AT protein. PiZZ is the most common genotype associated with severe AATD, leading to reduced circulating levels of a1-AT. Besides its antiprotease function, a1-AT has anti-inflammatory and antioxidative effects and AATD results in defective innate immunity. Protease/antiprotease imbalance affects not only the lung parenchyma but also the small airways and recent studies have shown that AATD is associated with small airway dysfunction. Alterations in small airways structure with peripheral ventilation inhomogeneities may precede emphysema formation, providing a unique opportunity to detect early disease. The aim of the present review is to summarize the current evidence for the contribution of small airways disease in AATD-associated lung disease.
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Affiliation(s)
- Dimitrios Toumpanakis
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; General State Hospital for Thoracic Diseases of Athens "Sotiria", Greece.
| | - Omar S Usmani
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
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43
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Fortis S, Quibrera PM, Comellas AP, Bhatt SP, Tashkin DP, Hoffman EA, Criner GJ, Han MK, Barr RG, Arjomandi M, Dransfield MB, Peters SP, Dolezal BA, Kim V, Putcha N, Rennard SI, Paine R, Kanner RE, Curtis JL, Bowler RP, Martinez FJ, Hansel NN, Krishnan JA, Woodruff PG, Barjaktarevic IZ, Couper D, Anderson WH, Cooper CB. Bronchodilator Responsiveness in Tobacco-Exposed People With or Without COPD. Chest 2023; 163:502-514. [PMID: 36395858 PMCID: PMC9993341 DOI: 10.1016/j.chest.2022.11.009] [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: 06/07/2022] [Revised: 11/04/2022] [Accepted: 11/10/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Bronchodilator responsiveness (BDR) in obstructive lung disease varies over time and may be associated with distinct clinical features. RESEARCH QUESTION Is consistent BDR over time (always present) differentially associated with obstructive lung disease features relative to inconsistent (sometimes present) or never (never present) BDR in tobacco-exposed people with or without COPD? STUDY DESIGN AND METHODS We retrospectively analyzed data from 2,269 tobacco-exposed participants in the Subpopulations and Intermediate Outcome Measures in COPD Study with or without COPD. We used various BDR definitions: change of ≥ 200 mL and ≥ 12% in FEV1 (FEV1-BDR), change in FVC (FVC-BDR), and change in in FEV1, FVC or both (ATS-BDR). Using generalized linear models adjusted for demographics, smoking history, FEV1 % predicted after bronchodilator administration, and number of visits that the participant completed, we assessed the association of BDR group: (1) consistent BDR, (2) inconsistent BDR, and (3) never BDR with asthma, CT scan features, blood eosinophil levels, and FEV1 decline in participants without COPD (Global Initiative for Chronic Obstructive Lung Disease [GOLD] stage 0) and the entire cohort (participants with or without COPD). RESULTS Both consistent and inconsistent ATS-BDR were associated with asthma history and greater small airways disease (%parametric response mapping functional small airways disease) relative to never ATS-BDR in participants with GOLD stage 0 disease and the entire cohort. We observed similar findings using FEV1-BDR and FVC-BDR definitions. Eosinophils did not vary consistently among BDR groups. Consistent BDR was associated with FEV1 decline over time relative to never BDR in the entire cohort. In participants with GOLD stage 0 disease, both the inconsistent ATS-BDR group (OR, 3.20; 95% CI, 2.21-4.66; P < .001) and consistent ATS-BDR group (OR, 9.48; 95% CI, 3.77-29.12; P < .001) were associated with progression to COPD relative to the never ATS-BDR group. INTERPRETATION Demonstration of BDR, even once, describes an obstructive lung disease phenotype with a history of asthma and greater small airways disease. Consistent demonstration of BDR indicated a high risk of lung function decline over time in the entire cohort and was associated with higher risk of progression to COPD in patients with GOLD stage 0 disease.
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Affiliation(s)
- Spyridon Fortis
- Center for Access & Delivery Research & Evaluation, Iowa City VA Health Care System, Iowa City, IA; Division of Pulmonary, Critical Care and Occupational Medicine, Department of Internal Medicine, University of Iowa Roy J. and Lucille A. Carver College of Medicine, Iowa City, IA.
| | - Pedro M Quibrera
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Alejandro P Comellas
- Division of Pulmonary, Critical Care and Occupational Medicine, Department of Internal 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 VA Medical Center, Birmingham, AL
| | - Donald P Tashkin
- Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine at the University of California, Los Angeles, CA
| | - Eric A Hoffman
- Departments of Radiology, Biomedical Engineering and Medicine, University of Iowa, Iowa City, IA
| | - Gerard J Criner
- Department of Thoracic Medicine and Surgery, Lewis Katz School of Medicine at Temple University, Philadelphia, PA
| | - MeiLan K Han
- Division of Pulmonary and Critical Care Medicine, University of Michigan Health System, Ann Arbor, MI
| | - R Graham Barr
- Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, NY
| | - Mehrdad Arjomandi
- Department of Medicine, University of California, San Francisco, CA; San Francisco Veterans Affairs Healthcare System, San Francisco, CA
| | - Mark B Dransfield
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham VA Medical Center, Birmingham, AL; Division of Pulmonary and Critical Care Medicine, Birmingham VA Medical Center, Birmingham, AL
| | - Stephen P Peters
- Section on Pulmonary, Critical Care, Allergy, and Immunologic Diseases, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Brett A Dolezal
- Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine at the University of California, Los Angeles, CA
| | - Victor Kim
- Department of Thoracic Medicine and Surgery, Lewis Katz School of Medicine at Temple University, Philadelphia, PA
| | - Nirupama Putcha
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, MD
| | - Stephen I Rennard
- Division of Pulmonary and Critical Care Medicine, University of Nebraska Medical Center, Omaha, NE
| | - Robert Paine
- Division of Respiratory, Critical Care and Occupational Medicine, Department of Internal Medicine, University of Utah, Salt Lake City, UT
| | - Richard E Kanner
- Division of Respiratory, Critical Care and Occupational Medicine, Department of Internal Medicine, University of Utah, Salt Lake City, UT
| | - Jeffrey L Curtis
- Division of Pulmonary and Critical Care Medicine, University of Michigan Health System, 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 J Martinez
- Departments of Medicine and Genetic Medicine, Weill Cornell Medicine, New York, NY
| | - Nadia N Hansel
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, MD
| | - Jerry A Krishnan
- Division of Pulmonary, Critical Care, Sleep, and Allergy, University of Illinois at Chicago, Chicago, IL
| | | | - Igor Z Barjaktarevic
- Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine at the University of California, Los Angeles, CA
| | - David Couper
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Wayne H Anderson
- Division of Pulmonary and Critical Care Medicine, Marsico Lung Institute, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Christopher B Cooper
- Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine at the University of California, Los Angeles, CA
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44
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Agustí A, Celli BR, Criner GJ, Halpin D, Anzueto A, Barnes P, Bourbeau J, Han MK, Martinez FJ, Montes de Oca M, Mortimer K, Papi A, Pavord I, Roche N, Salvi S, Sin DD, Singh D, Stockley R, López Varela MV, Wedzicha JA, Vogelmeier CF. Global Initiative for Chronic Obstructive Lung Disease 2023 Report: GOLD Executive Summary. Arch Bronconeumol 2023; 59:232-248. [PMID: 36933949 DOI: 10.1016/j.arbres.2023.02.009] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 02/06/2023] [Indexed: 03/05/2023]
Affiliation(s)
- Alvar Agustí
- University of Barcelona, Hospital Clinic, IDIBAPS and CIBERES, Spain.
| | - Bartolome R Celli
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Gerard J Criner
- Lewis Katz School of Medicine at Temple University, Philadelphia, PA, USA
| | - David Halpin
- University of Exeter Medical School, College of Medicine and Health, University of Exeter, Exeter, Devon, UK
| | - Antonio Anzueto
- South Texas Veterans Health Care System, University of Texas, Health San Antonio, Texas, USA
| | - Peter Barnes
- National Heart & Lung Institute, Imperial College London, United Kingdom
| | - Jean Bourbeau
- McGill University Health Centre, McGill University, Montreal, Canada
| | | | - Fernando J Martinez
- Weill Cornell Medical Center/New York-Presbyterian Hospital, New York, NY, USA
| | - Maria Montes de Oca
- Hospital Universitario de Caracas, Universidad Central de Venezuela, Centro Médico de Caracas, Caracas, Venezuela
| | - Kevin Mortimer
- Liverpool University Hospitals NHS Foundation Trust, UK; National Heart and Lung Institute, Imperial College London, UK; School of Clinical Medicine, College of Health Sciences, University of Kwazulu-Natal, South Africa
| | | | - Ian Pavord
- Respiratory Medicine Unit and Oxford Respiratory NIHR Biomedical Research Centre, Nuffield Department of Medicine, University of Oxford, UK
| | - Nicolas Roche
- Pneumologie, Hôpital Cochin AP-HP.Centre, Université Paris, France
| | - Sundeep Salvi
- Pulmocare Research and Education (PURE) Foundation, Pune, India
| | - Don D Sin
- St. Paul's Hospital, University of British Columbia, Vancouver, Canada
| | - Dave Singh
- University of Manchester, Manchester, UK
| | | | | | - Jadwiga A Wedzicha
- National Heart & Lung Institute, Imperial College London, United Kingdom
| | - Claus F Vogelmeier
- Department of Medicine, Pulmonary and Critical Care Medicine, University Medical Center Giessen and Marburg, Philipps-University, German Center for Lung Research (DZL), Marburg, Germany
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45
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Agustí A, Celli BR, Criner GJ, Halpin D, Anzueto A, Barnes P, Bourbeau J, Han MK, Martinez FJ, de Oca MM, Mortimer K, Papi A, Pavord I, Roche N, Salvi S, Sin DD, Singh D, Stockley R, Varela MVL, Wedzicha JA, Vogelmeier CF. Global Initiative for Chronic Obstructive Lung Disease 2023 Report: GOLD Executive Summary. Respirology 2023; 28:316-338. [PMID: 36856440 DOI: 10.1111/resp.14486] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 02/09/2023] [Indexed: 03/02/2023]
Affiliation(s)
- Alvar Agustí
- University of Barcelona, Hospital Clinic, IDIBAPS and CIBERES, Spain
| | - Bartolome R Celli
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Gerard J Criner
- Lewis Katz School of Medicine at Temple University, Philadelphia, Pennsylvania, USA
| | - David Halpin
- University of Exeter Medical School College of Medicine and Health University of Exeter, Exeter, Devon, UK
| | - Antonio Anzueto
- South Texas Veterans Health Care System University of Texas, Health San Antonio, Texas, USA
| | - Peter Barnes
- National Heart & Lung Institute Imperial College London, UK
| | - Jean Bourbeau
- McGill University Health Centre McGill University Montreal, Canada
| | - MeiLan K Han
- University of Michigan, Ann Arbor, Michigan, USA
| | - Fernando J Martinez
- Weill Cornell Medical Center/ New York-Presbyterian Hospital New York, New York, USA
| | - Maria Montes de Oca
- Hospital Universitario de Caracas Universidad Central de Venezuela Centro Médico de Caracas, Caracas, Venezuela
| | - Kevin Mortimer
- Liverpool University Hospitals NHS Foundation Trust, UK / National Heart and Lung Institute, Imperial College, London, UK / School of Clinical Medicine, College of Health Sciences, University of Kwazulu-Natal, South Africa
| | | | - Ian Pavord
- Respiratory Medicine Unit and Oxford Respiratory NIHR Biomedical Research Centre, Nuffield Department of Medicine University of Oxford, UK
| | - Nicolas Roche
- Pneumologie, Hôpital Cochin AP-HP.Centre, Université Paris, France
| | - Sundeep Salvi
- Pulmocare Research and Education (PURE) Foundation, Pune, India
| | - Don D Sin
- St. Paul's Hospital University of British Columbia, Vancouver, Canada
| | - Dave Singh
- University of Manchester, Manchester, UK
| | | | | | | | - Claus F Vogelmeier
- Department of Medicine, Pulmonary and Critical Care Medicine, University Medical Center Giessen and Marburg, Philipps-University, German Center for Lung Research (DZL), Marburg, Germany
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46
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Ohtsuka K, Harada N, Horiuchi A, Umemoto S, Kurabatashi R, Yui A, Yamamura H, Shinka Y, Miyao N. Therapeutic Response to Single-Inhaler Triple Therapies in Moderate-to-Severe COPD. Respir Care 2023; 68:330-337. [PMID: 36828578 PMCID: PMC10027151 DOI: 10.4187/respcare.10188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/26/2023]
Abstract
BACKGROUND COPD is characterized by progressive and irreversible air flow limitations. Single-inhaler therapies (SITTs) incorporating an inhaled corticosteroid, a long-acting muscarinic antagonist, and a long-acting β2-agonist have been shown to effectively alleviate symptoms and improve lung function. Fluticasone-furoate/umeclidinium/vilanterol (F/U/V) and budesonide/glycopyrronium/formoterol (B/G/F) are available as SITT in Japan. However, the clinical differences between these 2 combinations and the predictors of their proper use have not been established. This study aimed to identify the subject characteristics that could predict the effectiveness of inhaler therapy. METHODS We assessed the pulmonary function test results of subjects with COPD before and one month after using F/U/V and B/G/F as SITT. Subjects with a difference of 100 mL or more in the FEV1 after treatment with pre-SITT were extracted and divided into the F/U/V effect and no-effect group and B/G/F effect and no-effect group to examine the factors associated with positive outcomes with each inhaler. RESULTS F/U/V and B/G/F significantly improved the inspiratory capacity (IC), %IC, FVC, and %FEV1 when compared to pre-intervention values (P < .001, P = .001, P = .007, P = .009, respectively, for F/U/V; and P = .006, P = .008, P = .038, P = .005, respectively, for B/G/F). Factors associated with FEV1 improvement in F/U/V included lower %IC (odds ratio 0.97 [95% CI 0.94-0.99], P = .03) and a higher modified Medical Research Council (mMRC) dyspnea score (2.36 [1.27-4.70], P < .01). In addition, a higher %IC (1.03 [1.00-1.06], P = .02) and lower mMRC dyspnea score (0.55 [0.28-0.99], P = .041) were predictors for the effectiveness of B/G/F. CONCLUSIONS Our results showed that SITT significantly improved the IC, %IC, FVC, and %FEV1 when compared to pre-intervention and that F/U/V was more effective in subjects with severe symptoms, whereas B/G/F was more effective in subjects with mild symptoms.
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Affiliation(s)
- Kengo Ohtsuka
- Department of Internal Medicine, Nippon Koukan Hospital, Kawasaki, Kanagawa, Japan
| | - Naoko Harada
- Department of Internal Medicine, Nippon Koukan Hospital, Kawasaki, Kanagawa, Japan
| | - Atsuo Horiuchi
- Department of Internal Medicine, Nippon Koukan Hospital, Kawasaki, Kanagawa, Japan
| | - Shintaro Umemoto
- Department of Internal Medicine, Nippon Koukan Hospital, Kawasaki, Kanagawa, Japan
| | - Ryo Kurabatashi
- Department of Internal Medicine, Nippon Koukan Hospital, Kawasaki, Kanagawa, Japan
| | - Akie Yui
- Department of Internal Medicine, Nippon Koukan Hospital, Kawasaki, Kanagawa, Japan
| | - Hiroyuki Yamamura
- Department of Internal Medicine, Nippon Koukan Hospital, Kawasaki, Kanagawa, Japan
| | - Yoko Shinka
- Department of Internal Medicine, Nippon Koukan Hospital, Kawasaki, Kanagawa, Japan
| | - Naoki Miyao
- Department of Internal Medicine, Nippon Koukan Hospital, Kawasaki, Kanagawa, Japan.
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47
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Couillard S, Petousi N, Smigiel KS, Molfino NA. Toward a Predict and Prevent Approach in Obstructive Airway Diseases. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. IN PRACTICE 2023; 11:704-712. [PMID: 36682536 DOI: 10.1016/j.jaip.2023.01.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 01/05/2023] [Accepted: 01/05/2023] [Indexed: 01/22/2023]
Abstract
Asthma and chronic obstructive pulmonary disease are currently diagnosed and treated after the demonstration of variable airflow limitation and symptoms. Under this framework, undiagnosed and unchecked airway inflammation is associated with recurrent acute attacks, airway remodeling, airflow limitation, adverse effects of corticosteroids, and impaired quality of life, ultimately leading to the collection of side effects termed "people remodeling." This one-size-fits-all damage control approach aims to control symptoms and treat exacerbations rather than modify the underlying disease process. The advent of highly effective therapies targeting proximal drivers of airway inflammation calls for a paradigm shift; upstream-acting therapies offer potential to alter the disease course and achieve clinical remission. We propose moving away from downstream firefighting and toward a "predict and prevent" model, measuring inflammation and providing anti-inflammatory therapy early, without waiting for further clinical deterioration. Much in the same way that high blood pressure and cholesterol are used to predict and prevent heart attacks, in asthma, elevated blood eosinophils and/or exhaled nitric oxide can be used to predict and prevent asthma attacks. We also advocate moving research further upstream by identifying patients with subclinical airway inflammation or disease who may be at risk of progressing to airflow limitation and associated morbidities and intervening early to prevent them. In summary, we call for a predict and prevent approach in obstructive airway disease.
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Affiliation(s)
- Simon Couillard
- Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Nayia Petousi
- Respiratory Medicine Unit and NIHR Oxford Respiratory BRC, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
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48
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Criner G, Martinez F, Gandhi H, Pyenson B, Feigler N, Emery M, Gupta U, Vaduganathan M. PROMETHEUS: Long-Term Exacerbation and Mortality Benefits of Implementing Single-Inhaler Triple Therapy in the US COPD Population. JOURNAL OF HEALTH ECONOMICS AND OUTCOMES RESEARCH 2023; 10:20-27. [PMID: 36742194 PMCID: PMC9879267 DOI: 10.36469/001c.55635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 11/11/2022] [Indexed: 06/18/2023]
Abstract
Background: The US population includes 24 million to 29 million people with diagnosed and undiagnosed chronic obstructive pulmonary disease (COPD). Studies have demonstrated the safety and efficacy of single-inhaler triple therapy (SITT) in reducing COPD exacerbations. Long-term population implications of SITT use have not been quantified. Objectives: This simulation-based projection aimed to estimate the potential impact of widespread SITT use on the US COPD population. Methods: Exacerbation and all-cause mortality reductions reported in the Efficacy and Safety of Triple Therapy in Obstructive Lung Disease trial (ETHOS; NCT02465567) were used to project clinical outcomes in US patients meeting ETHOS trial eligibility criteria (ETHOS-Eligible) and patients meeting a practical definition of SITT eligibility (Expanded ETHOS-Eligible). The US COPD population was modeled with 1000 simulations of patient progression over 10 years. Agent characteristics were based on literature and claims analysis of the 2016-2018 Medicare 100% fee-for-service and IBM MarketScan® databases. Agent annual characteristics reflected incident cases, changes in COPD severity, treatment, mortality, and exacerbations under status quo treatment patterns and scenarios for the adoption of SITT. The scenarios assumed the reduced exacerbation and mortality rates associated with SITT according to ETHOS trial outcomes mean values. Results: Higher than current SITT adoption over 10 years would be expected to substantially reduce COPD exacerbation-associated hospitalizations by 2 million. Applying mean improvements reported in ETHOS for SITT would extend average patient life expectancy 2.2 years for ETHOS-Eligible patients and 1.7 years for Expanded ETHOS-Eligible patients. The number needed to treat to extend the average patient life by 1 year was 8 for the ETHOS-Eligible population and 10 for the Expanded ETHOS-Eligible population. Discussion: Widespread SITT adoption may be impeded by competitive pressures from generic treatments and nonadherence, and efficacy observed in clinical trials may not occur in real-world populations. Conclusions: Assuming ETHOS treatment effects and adherence translate to clinical practice, higher than current use of SITT can substantially reduce COPD exacerbations and hospitalizations and extend survival. These results should be viewed cautiously, because the improved outcomes for SITT in the ETHOS final retrieved vital statistics data were not statistically significant for all comparator therapy groups.
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Polverino F, Stern DA, Snyder EM, Wheatley-Guy C, Bhatt SP, Martinez FD, Guerra S, Morgan WJ. Lower respiratory illnesses in childhood are associated with the presence of air trapping in early adulthood. Respir Med 2023; 206:107062. [PMID: 36508986 PMCID: PMC10389168 DOI: 10.1016/j.rmed.2022.107062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 11/18/2022] [Accepted: 11/22/2022] [Indexed: 11/26/2022]
Abstract
Several factors occurring in early life, including lower respiratory tract illnesses (LRIs), are involved in determining lung structure and function in adulthood, but the effects of these factors on lung development remain largely unknown. Hereby, we evaluated the parameters from computed tomography (CT) scans performed at the age of 26 years in 39 subjects from the birth cohort of the Tucson Children's Respiratory Study (TCRS) in order to determine the relationship between early childhood factors and lung structural changes in young adult life. We found that participants with LRIs in childhood had increased air trapping at the age of 26 suggesting an association between childhood infections and lung development.
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Affiliation(s)
- Francesca Polverino
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, AZ, 85719, USA; Pulmonary and Critical Care Medicine, Baylor College of Medicine, Houston, TX, 77030, USA.
| | - Debra A Stern
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, AZ, 85719, USA
| | | | | | - Surya P Bhatt
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL, 35924, USA
| | - Fernando D Martinez
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, AZ, 85719, USA
| | - Stefano Guerra
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, AZ, 85719, USA
| | - Wayne J Morgan
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, AZ, 85719, USA
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Basharat F, Tanguay J. Experimental feasibility of xenon-enhanced dual-energy radiography for imaging of lung function. Phys Med Biol 2022; 67. [PMID: 36395522 DOI: 10.1088/1361-6560/aca3f8] [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: 08/04/2022] [Accepted: 11/17/2022] [Indexed: 11/19/2022]
Abstract
Chronic obstructive pulmonary disease (COPD) is a leading cause of death worldwide. We experimentally investigated the feasibility of two-dimensional xenon-enhanced dual-energy (XeDE) radiography for imaging of lung function. We optimized image quality under quantum-noise-limited conditions using a chest phantom consisting of a rectangular chamber representing the thoracic volume and PMMA slabs simulating x-ray attenuation by soft tissue. A sealed, air-filled cavity with thin PMMA walls was positioned inside the chamber to simulate a 2 cm thick ventilation defect. The chamber was ventilated with xenon and dual-energy imaging was performed using a diagnostic x-ray tube and a flat-panel detector. The contrast-to-noise ratio of ventilation defects normalized by patient x-ray exposure maximized at a kV-pair of approximately 60/140-kV and when approximately one third of the total exposure was allocated to the HE image. We used the optimized technique to image a second phantom that contained lung-parenchyma-mimicking PMMA clutter, rib-mimicking aluminum slats and an insert that simulated ventilation defects with thicknesses ranging from 0.5 cm to 2 cm and diameters ranging from 1 cm to 2 cm. From the resulting images we computed the area under the receiver operating characteristic curve (AUC) of the non-prewhitening model observer with an eye filter and internal noise. For a xenon concentration of 75%, good AUCs (i.e. 0.8-0.9) to excellent AUCs (i.e. >0.9) were obtained when the defect diameter is greater than 1.3 cm and defect thickness is 1 cm. When the xenon concentration was reduced to 50%, the AUC was ∼0.9 for defects 1.2 cm in diameter and ∼1.5 cm in thickness. Two-dimensional XeDE radiography may therefore enable detection of functional abnormalities associated with early-stage COPD, for which xenon ventilation defects can occupy up to 20% of the lung volume, and should be further developed as a low-cost alternative to MRI-based approaches and a low-dose alternative to CT-based approaches.
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Affiliation(s)
- Fateen Basharat
- Department of Physics, Toronto Metropolitan University, Toronto, ON, Canada
| | - Jesse Tanguay
- Department of Physics, Toronto Metropolitan University, Toronto, ON, Canada
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