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Lin Y, Sang L, Wang J, Chen Y, Lai J, Zhu X, Yang Y, Zhang Z, Liu Y, Wen S, Zhang N, Zhao D. Analysis of Airway Thickening and Serum Cytokines in COPD Patients with Frequent Exacerbations: A Heart of the Matter. Int J Chron Obstruct Pulmon Dis 2023; 18:2353-2364. [PMID: 37928768 PMCID: PMC10624196 DOI: 10.2147/copd.s430650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 10/25/2023] [Indexed: 11/07/2023] Open
Abstract
Background Differences in lung function for Chronic Obstructive Pulmonary Disease (COPD) cause bias in the findings when identifying frequent exacerbator phenotype-related causes. The aim of this study was to determine whether computed tomographic (CT) biomarkers and circulating inflammatory biomarkers were associated with the COPD frequent exacerbator phenotype after eliminating the differences in lung function between a frequent exacerbator (FE) group and a non-frequent exacerbator (NFE) group. Methods A total of 212 patients with stable COPD were divided into a FE group (n=106) and a NFE group (n=106) according to their exacerbation history. These patients were assessed by spirometry, quantitative CT measurements and blood sample measurements during their stable phase. Univariate and multivariate logistic regression were used to assess the association between airway thickening or serum cytokines and the COPD frequent exacerbator phenotype. Receiver operating characteristic (ROC) curves were calculated for Pi10, WA%, IL-1β and IL-4 to identify frequent exacerbators. Results Compared with NFE group, FE group had a greater inner perimeter wall thickness of a 10 mm diameter bronchiole (Pi10), a greater airway wall area percentage (WA%) and higher concentrations of IL-1β and IL-4 (p<0.001). After adjusting for sex, age, BMI, FEV1%pred and smoking pack-years, Pi10, WA%, IL-β and IL-4 were independently associated with a frequent exacerbator phenotype (p<0.001). Additionally, there was an increase in the odds ratio of the frequent exacerbator phenotype with increasing Pi10, WA%, IL-4, and IL-1β (p for trend <0.001). The ROC curve demonstrated that IL-1β had a significantly larger calculated area under the curve (p < 0.05) than Pi10, WA% and IL-4. Conclusion Pi10, WA%, IL-4, and IL-1β were independently associated with the frequent exacerbator phenotype among patients with stable COPD, suggesting that chronic airway and systemic inflammation contribute to the frequent exacerbator phenotype. Trial Registration This trial was registered in Chinese Clinical Trial Registry (https://www.chictr.org.cn). Its registration number is ChiCTR2000038700, and date of registration is September 29, 2020.
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Affiliation(s)
- Yiqi Lin
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510160, People’s Republic of China
| | - Li Sang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510160, People’s Republic of China
| | - Jiahe Wang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510160, People’s Republic of China
| | - Yating Chen
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510160, People’s Republic of China
| | - Jianxiong Lai
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510160, People’s Republic of China
| | - Xiaofeng Zhu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510160, People’s Republic of China
| | - Yuhan Yang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510160, People’s Republic of China
| | - Zhuofan Zhang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510160, People’s Republic of China
| | - Yinghua Liu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510160, People’s Republic of China
| | - Shenyu Wen
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510160, People’s Republic of China
| | - Nuofu Zhang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510160, People’s Republic of China
| | - Dongxing Zhao
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510160, People’s Republic of China
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Raoof S, Shah M, Make B, Allaqaband H, Bowler R, Fernando S, Greenberg H, Han MK, Hogg J, Humphries S, Lee KS, Lynch D, Machnicki S, Mehta A, Mina B, Naidich D, Naidich J, Naqvi Z, Ohno Y, Regan E, Travis WD, Washko G, Braman S. Lung Imaging in COPD Part 1: Clinical Usefulness. Chest 2023; 164:69-84. [PMID: 36907372 PMCID: PMC10403625 DOI: 10.1016/j.chest.2023.03.007] [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: 09/25/2022] [Revised: 01/23/2023] [Accepted: 03/04/2023] [Indexed: 03/13/2023] Open
Abstract
COPD is a condition characterized by chronic airflow obstruction resulting from chronic bronchitis, emphysema, or both. The clinical picture is usually progressive with respiratory symptoms such as exertional dyspnea and chronic cough. For many years, spirometry was used to establish a diagnosis of COPD. Recent advancements in imaging techniques allow quantitative and qualitative analysis of the lung parenchyma as well as related airways and vascular and extrapulmonary manifestations of COPD. These imaging methods may allow prognostication of disease and shed light on the efficacy of pharmacologic and nonpharmacologic interventions. This is the first of a two-part series of articles on the usefulness of imaging methods in COPD, and it highlights useful information that clinicians can obtain from these imaging studies to make more accurate diagnosis and therapeutic decisions.
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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
| | | | | | | | | | | | | | - James Hogg
- University of British Columbia, Vancouver, BC, Canada
| | | | - Kyung Soo Lee
- Sungkyunkwan University School of Medicine, Samsung ChangWon Hospital, ChangWon, South Korea
| | | | | | | | - Bushra Mina
- Northwell Health, Lenox Hill Hospital, New York, NY
| | | | | | - Zarnab Naqvi
- Northwell Health, Lenox Hill Hospital, New York, NY
| | | | | | | | | | - Sidney Braman
- Icahn School of Medicine at Mount Sinai, New York, NY
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Suzuki E, Kawata N, Shimada A, Sato H, Anazawa R, Suzuki M, Shiko Y, Yamamoto M, Ikari J, Tatsumi K, Suzuki T. Prognostic Nutritional Index (PNI) as a Potential Prognostic Tool for Exacerbation of COPD in Elderly Patients. Int J Chron Obstruct Pulmon Dis 2023; 18:1077-1090. [PMID: 37309393 PMCID: PMC10257926 DOI: 10.2147/copd.s385374] [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: 08/20/2022] [Accepted: 04/28/2023] [Indexed: 06/14/2023] Open
Abstract
Purpose In COPD, exacerbation of the disorder causes a deterioration in the quality-of-life and worsens respiratory dysfunction, leading to a poor prognosis. In recent years, nutritional indices have been reported as significant prognostic factors in various chronic diseases. However, the relationship between nutritional indicators and prognosis in elderly subjects with COPD has not been investigated. Patients and methods We enrolled 91 subjects who received COPD assessment tests (CAT), spirometry, blood tests, and multidetector computed tomography (MDCT). We divided the subjects into two groups according to age (<75 years (n=57) and ≥ 75 years (n=34)). The prognostic nutritional index (PNI) was used to assess immune-nutritional status and was calculated as 10 x serum albumin + 0.005 x total lymphocyte count. We then examined the relationship between PNI and clinical parameters, including exacerbation events. Results There was no significant correlation between the PNI and CAT, the FEV1%pred, or low attenuation volume percentage (LAV%). In the elderly group, there were significant differences between the groups with or without exacerbation in the CAT and PNI (p=0.008, p=0.004, respectively). FEV1%pred, neutrophil-to-lymphocyte ratio (NLR) and LAV% did not differ between the two groups. The analytical model combining CAT and PNI improved the prediction of exacerbations in the elderly subjects (p=0.0068). Conclusion In elderly subjects with COPD, CAT were associated significantly with the risk of COPD exacerbation, with PNI also a potential predictor. The combined assessment of CAT and PNI may be a useful prognostic tool in subjects with COPD.
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Affiliation(s)
- Eiko Suzuki
- Department of Respirology, Graduate School of Medicine, Chiba University, Chiba-shi, Chiba, 260-8677, Japan
| | - Naoko Kawata
- Department of Respirology, Graduate School of Medicine, Chiba University, Chiba-shi, Chiba, 260-8677, Japan
| | - Ayako Shimada
- Department of Respirology, Graduate School of Medicine, Chiba University, Chiba-shi, Chiba, 260-8677, Japan
- Department of Respirology, Shin-yurigaoka General Hospital, Kawasaki, Kanagawa, 215-0026, Japan
| | - Hirotaka Sato
- Department of Respirology, Graduate School of Medicine, Chiba University, Chiba-shi, Chiba, 260-8677, Japan
- Department of Radiology, Soka Municipal Hospital, Souka-shi, Saitama, 340-8560, Japan
| | - Rie Anazawa
- Department of Respirology, Graduate School of Medicine, Chiba University, Chiba-shi, Chiba, 260-8677, Japan
- Department of Infectious Diseases, NTT Medical Center Tokyo, Tokyo, 141-8625, Japan
| | - Masaki Suzuki
- Department of Respirology, Graduate School of Medicine, Chiba University, Chiba-shi, Chiba, 260-8677, Japan
- Department of Respirology, Kashiwa Kousei General Hospital, Kashiwa-shi, Chiba-ken, 277-8551, Japan
| | - Yuki Shiko
- Biostatistics Section, Clinical Research Center, Chiba University Hospital, Chiba-shi, 260-8670, Japan
| | - Mayumi Yamamoto
- Department of Palliative Care Medicine, Chiba Rosai Hospital, Chiba-shi, Chiba, 290-0003, Japan
| | - Jun Ikari
- Department of Respirology, Graduate School of Medicine, Chiba University, Chiba-shi, Chiba, 260-8677, Japan
| | - Koichiro Tatsumi
- Department of Respirology, Graduate School of Medicine, Chiba University, Chiba-shi, Chiba, 260-8677, Japan
| | - Takuji Suzuki
- Department of Respirology, Graduate School of Medicine, Chiba University, Chiba-shi, Chiba, 260-8677, Japan
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Wang R, Huang C, Yang W, Wang C, Wang P, Guo L, Cao J, Huang L, Song H, Zhang C, Zhang Y, Shi G. Respiratory microbiota and radiomics features in the stable COPD patients. Respir Res 2023; 24:131. [PMID: 37173744 PMCID: PMC10176953 DOI: 10.1186/s12931-023-02434-1] [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: 11/21/2022] [Accepted: 04/25/2023] [Indexed: 05/15/2023] Open
Abstract
BACKGROUNDS The respiratory microbiota and radiomics correlate with the disease severity and prognosis of chronic obstructive pulmonary disease (COPD). We aim to characterize the respiratory microbiota and radiomics features of COPD patients and explore the relationship between them. METHODS Sputa from stable COPD patients were collected for bacterial 16 S rRNA gene sequencing and fungal Internal Transcribed Spacer (ITS) sequencing. Chest computed tomography (CT) and 3D-CT analysis were conducted for radiomics information, including the percentages of low attenuation area below - 950 Hounsfield Units (LAA%), wall thickness (WT), and intraluminal area (Ai). WT and Ai were adjusted by body surface area (BSA) to WT/[Formula: see text] and Ai/BSA, respectively. Some key pulmonary function indicators were collected, which included forced expiratory volume in one second (FEV1), forced vital capacity (FVC), diffusion lung carbon monoxide (DLco). Differences and correlations of microbiomics with radiomics and clinical indicators between different patient subgroups were assessed. RESULTS Two bacterial clusters dominated by Streptococcus and Rothia were identified. Chao and Shannon indices were higher in the Streptococcus cluster than that in the Rothia cluster. Principal Co-ordinates Analysis (PCoA) indicated significant differences between their community structures. Higher relative abundance of Actinobacteria was detected in the Rothia cluster. Some genera were more common in the Streptococcus cluster, mainly including Leptotrichia, Oribacterium, Peptostreptococcus. Peptostreptococcus was positively correlated with DLco per unit of alveolar volume as a percentage of predicted value (DLco/VA%pred). The patients with past-year exacerbations were more in the Streptococcus cluster. Fungal analysis revealed two clusters dominated by Aspergillus and Candida. Chao and Shannon indices of the Aspergillus cluster were higher than that in the Candida cluster. PCoA showed distinct community compositions between the two clusters. Greater abundance of Cladosporium and Penicillium was found in the Aspergillus cluster. The patients of the Candida cluster had upper FEV1 and FEV1/FVC levels. In radiomics, the patients of the Rothia cluster had higher LAA% and WT/[Formula: see text] than those of the Streptococcus cluster. Haemophilus, Neisseria and Cutaneotrichosporon positively correlated with Ai/BSA, but Cladosporium negatively correlated with Ai/BSA. CONCLUSIONS Among respiratory microbiota in stable COPD patients, Streptococcus dominance was associated with an increased risk of exacerbation, and Rothia dominance was relevant to worse emphysema and airway lesions. Peptostreptococcus, Haemophilus, Neisseria and Cutaneotrichosporon probably affected COPD progression and potentially could be disease prediction biomarkers.
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Affiliation(s)
- Rong Wang
- Department of Pulmonary and Critical Care Medicine, the Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming, 650032, People's Republic of China
- Medical School, Kunming University of Science and Technology, Kunming, 650500, People's Republic of China
- Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine. Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine. Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, 200025, People's Republic of China
| | - Chunrong Huang
- Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine. Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine. Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, 200025, People's Republic of China
| | - Wenjie Yang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China
| | - Cui Wang
- Department of Pulmonary and Critical Care Medicine, the Third People's Hospital of Kunshan, Suzhou, 215300, People's Republic of China
| | - Ping Wang
- Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine. Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine. Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, 200025, People's Republic of China
| | - Leixin Guo
- Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine. Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine. Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, 200025, People's Republic of China
| | - Jin Cao
- Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine. Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine. Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, 200025, People's Republic of China
| | - Lin Huang
- Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine. Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine. Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, 200025, People's Republic of China
| | - Hejie Song
- Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine. Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine. Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, 200025, People's Republic of China
| | - Chenhong Zhang
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China.
| | - Yunhui Zhang
- Department of Pulmonary and Critical Care Medicine, the Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming, 650032, People's Republic of China.
| | - Guochao Shi
- Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine. Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine. Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, 200025, People's Republic of China.
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Park J, Kim EK, Lee SH, Kim MA, Kim JH, Lee SM, Lee JS, Oh YM, Lee SD, Lee JH. Phenotyping COPD Patients with Emphysema Distribution Using Quantitative CT Measurement; More Severe Airway Involvement in Lower Dominant Emphysema. Int J Chron Obstruct Pulmon Dis 2022; 17:2013-2025. [PMID: 36072609 PMCID: PMC9441583 DOI: 10.2147/copd.s362906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 07/21/2022] [Indexed: 11/23/2022] Open
Affiliation(s)
- Jisoo Park
- Department of Pulmonology, Allergy and Critical Care Medicine, CHA Bundang Medical Center, CHA University, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Eun-Kyung Kim
- Department of Pulmonology, Allergy and Critical Care Medicine, CHA Bundang Medical Center, CHA University, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Se Hee Lee
- Department of Pulmonology, Allergy and Critical Care Medicine, CHA Bundang Medical Center, CHA University, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Mi-Ae Kim
- Department of Pulmonology, Allergy and Critical Care Medicine, CHA Bundang Medical Center, CHA University, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Jung-Hyun Kim
- Department of Pulmonology, Allergy and Critical Care Medicine, CHA Bundang Medical Center, CHA University, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Sang Min Lee
- Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
- Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Jae Seung Lee
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
- Clinical Research Center for Chronic Obstructive Airway Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Yeon-Mok Oh
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
- Clinical Research Center for Chronic Obstructive Airway Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Sang-Do Lee
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
- Clinical Research Center for Chronic Obstructive Airway Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Ji-Hyun Lee
- Department of Pulmonology, Allergy and Critical Care Medicine, CHA Bundang Medical Center, CHA University, Seongnam-si, Gyeonggi-do, Republic of Korea
- Correspondence: Ji-Hyun Lee, Department of Pulmonology, Allergy and Critical Care Medicine, CHA Bundang Medical Center, CHA University, 59, Yatap-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13496, Republic of Korea, Tel +82-31-780-5205, Fax +82-31-780-2992, Email
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Role of the Emphysema Index Combined with the Chronic Obstructive Pulmonary Disease Assessment Test Score in the Evaluation of Chronic Obstructive Pulmonary Disease. Can Respir J 2021; 2021:9996305. [PMID: 34691315 PMCID: PMC8528610 DOI: 10.1155/2021/9996305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 09/18/2021] [Indexed: 11/17/2022] Open
Abstract
Background This study aimed to evaluate the efficacy of the emphysema index (EI) in distinguishing chronic bronchitis (CB) from chronic obstructive pulmonary disease (COPD) and its role, combined with the COPD Assessment Test (CAT) score, in the evaluation of COPD. Methods A total of 92 patients with CB and 277 patients with COPD were enrolled in this study. Receiver operating characteristic (ROC) curves were analyzed to evaluate whether the EI can preliminarily distinguish chronic bronchitis from COPD. Considering the heterogeneity of COPD, there might be missed diagnosis of some patients with bronchitis type when differentiating COPD patients only by EI. Therefore, patients with COPD were classified according to the CAT score and EI into four groups: Group 1 (EI < 16%, CAT < 10), Group 2 (EI < 16%, CAT ≥ 10), Group 3 (EI ≥ 16%, CAT < 10), and Group 4 (EI ≥ 16%, CAT ≥ 10). The records of pulmonary function and quantitative computed tomography findings were retrospectively analyzed. Results ROC curve analysis showed that EI = 16.2% was the cutoff value for distinguishing COPD from CB. Groups 1 and 2 exhibited significantly higher maximal voluntary ventilation (MVV) percent predicted (pred), forced expiratory volume in 1 second (FEV1)/forced vital capacity (FVC), maximal midexpiratory flow of 25-75% pred, carbon monoxide-diffusing capacity (DLCO)/alveolar ventilation (VA), FEV1 % pred (p ≤ 0.013), and maximal expiratory flow 50% pred (all p < 0.05) than Group 4. FEV1/FVC and DLCO/VA were significantly lower in Group 3 than in Group 2 (p=0.002 and p < 0.001, respectively). The residual volume/total lung capacity was higher in Group 3 than in Groups 1 and 2 (p < 0.05). Conclusions The combination of EI and CAT was effective in the evaluation of COPD.
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Chen J, Jiang C, Zheng Y, Zhao D, Wu F, Zhao Z, Zhao J, Li Q, Li B, Peng G, Zhou Y, Ran P. Lung Features in Individuals with Biomass Smoke Exposure Characterized by CT Scan and Changes in Pulmonary Function. Int J Chron Obstruct Pulmon Dis 2021; 16:2575-2584. [PMID: 34531653 PMCID: PMC8439982 DOI: 10.2147/copd.s325330] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 09/03/2021] [Indexed: 11/25/2022] Open
Abstract
Background and Objective To determine the effects of BSE (biomass smoke exposure) on pulmonary and non-pulmonary changes in patients with COPD compared with normal individuals. Methods Using a cohort, we recruited 16 healthy individuals with BSE (BSE normal), 19 patients with BSE+COPD, 13 healthy individuals with cigarette smoke exposure (CSE normal), 25 patients with CSE+COPD, and 25 healthy controls. Patients with GOLD stage I and II COPD were included. Baseline data (demographic data, BSE or CSE, lung function, and CT findings) and follow-up lung function data were collected. CT parameters of emphysema, pulmonary small vessels, airway remodeling, pectoralis muscles, and erector spinae muscle were measured. Results Individuals with BSE were mainly women (32/35, 91.43%). Compared with the CSE+COPD group, the BSE+COPD group demonstrated slower lung function decline, increased lower lung emphysema, narrower airway lumen dimensions and increased airway wall thickening in the moderate and small airways (all P<0.05). Compared with healthy controls, the CSE normal and BSE normal groups exhibited significant reductions in pulmonary small vessel area and obvious airway remodeling in small airways (P<0.05). Compared with the BSE normal group, the BSE+COPD group showed significantly more severe emphysema and airway remodeling, as well as reduced left pectoralis major muscle area (all P<0.05). Conclusion Healthy individuals with BSE had reduced pulmonary small vessel area and evidence of airway remodeling; patients with BSE and COPD showed more severe emphysema, airway remodeling, and reductions in pectoralis major muscle area. Clinical Trial Registration ChiCTR-OO-14004264.
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Affiliation(s)
- Jinglong Chen
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, People's Republic of China.,Department of Geriatrics, National Clinical Key Specialty, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, 510180, People's Republic of China
| | - Changbin Jiang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, People's Republic of China
| | - Youlan Zheng
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, People's Republic of China
| | - Dongxing Zhao
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, People's Republic of China
| | - Fan Wu
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, People's Republic of China
| | - Zhuxiang Zhao
- The Pulmonary Medicine, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, People's Republic of China
| | - Jun Zhao
- Department of Geriatrics, National Clinical Key Specialty, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, 510180, People's Republic of China
| | - Qing Li
- Department of Geriatrics, National Clinical Key Specialty, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, 510180, People's Republic of China
| | - Bing Li
- GMU-GIBH Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, 511436, People's Republic of China
| | - Gongyong Peng
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, People's Republic of China
| | - Yumin Zhou
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, People's Republic of China
| | - Pixin Ran
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, People's Republic of China
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Li T, Zhou HP, Zhou ZJ, Guo LQ, Zhou L. Computed tomography-identified phenotypes of small airway obstructions in chronic obstructive pulmonary disease. Chin Med J (Engl) 2021; 134:2025-2036. [PMID: 34517376 PMCID: PMC8440009 DOI: 10.1097/cm9.0000000000001724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Indexed: 12/02/2022] Open
Abstract
ABSTRACT Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease characteristic of small airway inflammation, obstruction, and emphysema. It is well known that spirometry alone cannot differentiate each separate component. Computed tomography (CT) is widely used to determine the extent of emphysema and small airway involvement in COPD. Compared with the pulmonary function test, small airway CT phenotypes can accurately reflect disease severity in patients with COPD, which is conducive to improving the prognosis of this disease. CT measurement of central airway morphology has been applied in clinical, epidemiologic, and genetic investigations as an inference of the presence and severity of small airway disease. This review will focus on presenting the current knowledge and methodologies in chest CT that aid in identifying discrete COPD phenotypes.
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Affiliation(s)
- Tao Li
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu 210029, China
- Department of Respiratory Medicine, Xuzhou First People's Hospital, Xuzhou, Jiangsu 221116, China
| | - Hao-Peng Zhou
- Department of Medicine, Jiangsu University School of Medicine, Zhenjiang, Jiangsu 212013, China
| | - Zhi-Jun Zhou
- Institute of Radio Frequency & Optical Electronics-Integrated Circuits, School of Information and Engineering, Southeast University, Nanjing, Jiangsu 210096, China
| | - Li-Quan Guo
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China
| | - Linfu Zhou
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu 210029, China
- Institute of Integrative Medicine, Nanjing Medical University, Nanjing, Jiangsu 210029, China
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Liang Y, Yangzom D, Tsokyi L, Ning Y, Su B, Luo S, Ma Cuo B, ChuTso M, Ding Y, Chen Y, Sun Y. Clinical and Radiological Features of COPD Patients Living at ≥3000 m Above Sea Level in the Tibet Plateau. Int J Chron Obstruct Pulmon Dis 2021; 16:2445-2454. [PMID: 34483657 PMCID: PMC8408343 DOI: 10.2147/copd.s325097] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 08/16/2021] [Indexed: 11/23/2022] Open
Abstract
Background COPD at high altitude may have different risk factors and unique clinical and radiological phenotypes. We aimed to investigate the demographic data, clinical and radiological features of COPD patients permanently residing at the Tibet Plateau (≥3000 meters above sea level). Methods We conducted an observational cross-sectional study which consecutively enrolled COPD patients visiting the outpatient of Respiratory Medicine at Tibet Autonomous Region People's Hospital from January 2018 to March 2021. All patients were Tibetan permanent residents aging ≥40 years and met the diagnosis of COPD according to Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines. Data including demographic characteristics, altitude of residence, risk factors, respiratory symptoms, comorbidities and medications, as well as computed tomography (CT) measurements were collected. Results Eighty-four patients with definite COPD were enrolled for analysis. Their mean age was 64.7 (±9.1) years. All patients lived at ≥3000 m above sea level and 34.5% of them lived at ≥4000 m. About 8.3% of the patients were current smokers and 44.0% were ex-smokers. Up to 88.1% of the patients reported long-term exposure to indoor biomass fuels. Most of the patients were classified as having mild-to-moderate (GOLD I: 27.4%; GOLD II: 51.2%) COPD, while 89.3% had a CAT score ≥10. Only 36.9% of the patients received regular long-term medications for COPD in the past year, in whom ICS/LABA and oral theophylline were the most common used pharmacological therapy. On CT scanning, the majority of our patients (70.7%) showed no or minimal emphysema, while signs of previous tuberculosis were found in 45.1% of the patients. Conclusion COPD patients living at the Tibet Plateau had a heavy respiratory symptom burden, but most of them did not receive adequate pharmacological treatment. Indoor biomass fuel exposure and previous tuberculosis were prevalent, while the emphysema phenotype was less common in this population.
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Affiliation(s)
- Ying Liang
- Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing, 100191, People’s Republic of China
- Department of Respiratory and Critical Care Medicine, Tibet Autonomous Region People’s Hospital, Lhasa, 850000, People’s Republic of China
| | - Drolma Yangzom
- Department of Respiratory and Critical Care Medicine, Tibet Autonomous Region People’s Hospital, Lhasa, 850000, People’s Republic of China
| | - Lhamo Tsokyi
- Department of Respiratory and Critical Care Medicine, Tibet Autonomous Region People’s Hospital, Lhasa, 850000, People’s Republic of China
| | - Yanping Ning
- Department of Respiratory and Critical Care Medicine, Tibet Autonomous Region People’s Hospital, Lhasa, 850000, People’s Republic of China
| | - Baiyan Su
- Radiology Department, Peking Union Medical College Hospital, Beijing, 100730, People’s Republic of China
- Radiology Department, Tibet Autonomous Region People’s Hospital, Lhasa, 850000, People’s Republic of China
| | - Shuai Luo
- Radiology Department, Tibet Autonomous Region People’s Hospital, Lhasa, 850000, People’s Republic of China
| | - Bian Ma Cuo
- Department of Respiratory and Critical Care Medicine, Tibet Autonomous Region People’s Hospital, Lhasa, 850000, People’s Republic of China
| | - Meilang ChuTso
- Department of Respiratory and Critical Care Medicine, Tibet Autonomous Region People’s Hospital, Lhasa, 850000, People’s Republic of China
| | - Yanling Ding
- Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing, 100191, People’s Republic of China
| | - Yahong Chen
- Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing, 100191, People’s Republic of China
| | - Yongchang Sun
- Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing, 100191, People’s Republic of China
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Tanabe N, Shimizu K, Terada K, Sato S, Suzuki M, Shima H, Oguma A, Oguma T, Konno S, Nishimura M, Hirai T. Central airway and peripheral lung structures in airway disease-dominant COPD. ERJ Open Res 2021; 7:00672-2020. [PMID: 33778061 PMCID: PMC7983277 DOI: 10.1183/23120541.00672-2020] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 12/21/2020] [Indexed: 01/14/2023] Open
Abstract
The concept that the small airway is a primary pathological site for all COPD phenotypes has been challenged by recent findings that the disease starts from the central airways in COPD subgroups and that a smaller central airway tree increases COPD risk. This study aimed to examine whether the computed tomography (CT)-based airway disease-dominant (AD) subtype, defined using the central airway dimension, was less associated with small airway dysfunction (SAD) on CT, compared to the emphysema-dominant (ED) subtype. COPD patients were categorised into mild, AD, ED and mixed groups based on wall area per cent (WA%) of the segmental airways and low attenuation volume per cent in the Kyoto–Himeji (n=189) and Hokkaido COPD cohorts (n=93). The volume per cent of SAD regions (SAD%) was obtained by nonrigidly registering inspiratory and expiratory CT. The AD group had a lower SAD% than the ED group and similar SAD% to the mild group. The AD group had a smaller lumen size of airways proximal to the segmental airways and more frequent asthma history before age 40 years than the ED group. In multivariable analyses, while the AD and ED groups were similarly associated with greater airflow limitation, the ED, but not the AD, group was associated with greater SAD%, whereas the AD, but not the ED, group was associated with a smaller central airway size. The CT-based AD COPD subtype might be associated with a smaller central airway tree and asthma history, but not with peripheral lung pathologies including small airway disease, unlike the ED subtype. This study shows that airway disease-dominant COPD, defined using central airway dimension on CT, is associated with a smaller central airway tree, less small airway dysfunction and slower lung function decline than the emphysema-dominant COPDhttps://bit.ly/3nNwxIC
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Affiliation(s)
- Naoya Tanabe
- Dept of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.,These authors contributed equally
| | - Kaoruko Shimizu
- Dept of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan.,These authors contributed equally
| | - Kunihiko Terada
- Terada Clinic, Respiratory Medicine and General Practice, Himeji, Japan
| | - Susumu Sato
- Dept of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Masaru Suzuki
- Dept of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Hiroshi Shima
- Dept of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Akira Oguma
- Dept of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Tsuyoshi Oguma
- Dept of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Satoshi Konno
- Dept of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Masaharu Nishimura
- Dept of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan.,Hokkaido Institute of Respiratory Diseases, Sapporo, Japan
| | - Toyohiro Hirai
- Dept of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
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Lee EG, Rhee CK. The clinical efficacy of AG NPP709 (Synatura ®) in patients with chronic bronchitis type stable chronic obstructive pulmonary disease. J Thorac Dis 2020; 12:2435-2442. [PMID: 32642149 PMCID: PMC7330415 DOI: 10.21037/jtd.2020.03.61] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
Background AG NPP709 (Synatura®) has been demonstrated to be efficacious in decreasing cough and sputum in patients with acute upper respiratory infection and chronic inflammatory bronchitis. The aim of this study was to evaluate the efficacy of AG NPP709 in patients with chronic bronchitis type chronic obstructive pulmonary disease (COPD). Methods This was a prospective, open-label, single-arm clinical trial (NCT03623282). Chronic bronchitis type COPD patients aged >40 years were enrolled. The primary endpoint was improvement on the CAT scores between the baseline visit and week 12. The secondary endpoints were the effect of AG NPP709 on the pulmonary function and systemic inflammation, as indexed by CRP, fibrinogen, IL-6, TNF-α and IL-33 levels. Results Thirty patients were enrolled. All patients were male, and their mean age was 71.93±7.93 years. The mean post-bronchodilator forced expiratory volume in 1 second/forced vital capacity (FEV1/FVC) ratio was 58.63±11.40, and FEV1 (%) was 75.93±20.42. The mean total CAT score was 14.77±7.14. Of these patients, 26 were followed up after 3 months. A significant improvement was observed in the total CAT score (from 14.38±6.62 to 12.73±6.60, P=0.005). Fibrinogen level decreased significantly (P=0.013). No serious adverse events occurred. Conclusions AG NPP709 improved the quality of life, as represented by the CAT score, in patients with chronic bronchitis type COPD, and significantly reduced fibrinogen levels. These results suggest that AG NPP709 is efficacious and safe in patients with chronic bronchitis type COPD.
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Affiliation(s)
- Eung Gu Lee
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Chin Kook Rhee
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
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