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Xu Y, Zhao H, Yu C, Wang Y, Xu H, Weng Z, Chen C, Mao H. An investigation of the risk factors of chronic obstructive pulmonary disease in natural population-based cohorts in China - a nested case-control study. Front Public Health 2023; 11:1303097. [PMID: 38145085 PMCID: PMC10739482 DOI: 10.3389/fpubh.2023.1303097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 11/22/2023] [Indexed: 12/26/2023] Open
Abstract
Background Chronic obstructive pulmonary disease (COPD) has become one of the most significant chronic diseases in China. According to conventional wisdom, smoking is the pathogenic factor. However, current research indicates that the pathophysiology of COPD may be associated with prior respiratory system events (e.g., childhood hospitalization for pneumonia, chronic bronchitis) and environmental exposure (e.g., dust from workplace, indoor combustion particles). Dyspnea, persistent wheezing, and other respiratory symptoms further point to the need for pulmonary function tests in this population. Reducing the burden of chronic diseases in China requires a thorough understanding of the various factors that influence the occurrence of COPD. Methods Using a cohort from the natural population, this study used nested case-control analysis. We carried out a number of researches, including questionnaire surveys and pulmonary function testing, in the Northwest and Southeast cohorts of China between 2014 and 2021. After removing any variations in the baseline data between patients and control subjects using propensity score matching analysis, the risk factors were examined using univariate or multivariate regression. Result It was discovered that prior history of chronic bronchitis, long-term wheezing symptoms, and environmental exposure-including smoking and biofuel combustion-were risk factors for COPD. Dyspnea, symptoms of mobility limitation, organic matter, and a history of hospitalization for pneumonia at an early age were not significant in the clinical model but their incidence in COPD group is higher than that in healthy population. Discussion COPD screening effectiveness can be increased by looking for individuals with chronic respiratory symptoms. Smokers should give up as soon as they can, and families that have been exposed to biofuels for a long time should convert to clean energy or upgrade their ventilation. Individuals who have previously been diagnosed with emphysema and chronic bronchitis ought to be extra mindful of the prevention or advancement of COPD.
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Affiliation(s)
- Yixin Xu
- Key Laboratory of Interventional Pulmonology of Zhejiang Province, Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Hongjun Zhao
- Key Laboratory of Interventional Pulmonology of Zhejiang Province, Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Department of Pulmonary and Critical Care Medicine, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People’s Hospital, Quzhou, China
| | - Chunchun Yu
- Key Laboratory of Interventional Pulmonology of Zhejiang Province, Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yuqian Wang
- Key Laboratory of Interventional Pulmonology of Zhejiang Province, Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Hao Xu
- Key Laboratory of Interventional Pulmonology of Zhejiang Province, Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Department of Pulmonary and Critical Care Medicine, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People’s Hospital, Quzhou, China
| | - Zhe Weng
- Key Laboratory of Interventional Pulmonology of Zhejiang Province, Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Chengshui Chen
- Key Laboratory of Interventional Pulmonology of Zhejiang Province, Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Department of Pulmonary and Critical Care Medicine, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People’s Hospital, Quzhou, China
| | - Haizhou Mao
- Department of Mathematics, Zhejiang Industry and Trade Vocational College, Wenzhou, Zhejiang, China
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Wen X, Deng Z, Peng J, Yang H, Wu F, Dai C, Zheng Y, Zhao N, Wang Z, Xiao S, Xu J, Lu L, Wu X, Zhou K, Dai J, Li B, Ran P, Zhou Y. Characteristics of inflammatory phenotypes in patients with chronic obstructive pulmonary disease: a cross-sectional study. BMJ Open Respir Res 2023; 10:e001454. [PMID: 38035712 PMCID: PMC10689359 DOI: 10.1136/bmjresp-2022-001454] [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: 09/13/2022] [Accepted: 11/07/2023] [Indexed: 12/02/2023] Open
Abstract
BACKGROUND The relationship between airway inflammation in chronic obstructive pulmonary disease (COPD) and clinical characteristics remains unclear. This study aimed to investigate the airway inflammatory phenotypes in COPD and their association with clinical characteristics. METHODS 895 patients with COPD were recruited from Guangdong Province, China in this study. Each patient underwent questionnaire interviews, spirometry testing, CT scans and induced sputum examination. Classification of airway inflammation phenotypes was based on sputum inflammatory cell counts. Covariance analysis was applied to assess associations with airway inflammation phenotypes. RESULTS In this study, we found that neutrophilic phenotype (NP, 58.0%) was the most common airway inflammation phenotype in patients with COPD, followed by mixed granulocytic phenotype (MGP, 32.6%), eosinophilic phenotype (EP, 5.4%) and paucigranulocytic phenotype (PP, 4.0%). Compared with NP patients, those with MGP exhibited more frequent chronic respiratory symptoms, and a higher proportion of individuals classified under Global Initiative for Chronic Obstructive Lung Disease stages 3 and 4. After adjusting for confounding factors, MGP patients had lower lung function, and more severe emphysema and air trapping. On the contrary, patients with PP had the best pulmonary function and less emphysema and air trapping. CONCLUSIONS NP was the most common airway inflammation phenotype in patients with COPD. Patients with MGP had more respiratory symptoms, greater loss of lung function, and more severe emphysema and gas trapping compared with those with NP. Meanwhile, PP may be a phenotype of mild damage to lung structure in patients with COPD.
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Affiliation(s)
- Xiang Wen
- 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, Guangdong, China
- Shenzhen Institute of Respiratory Disease & Department of Pulmonary and Critical Care Medicine, Shenzhen People's Hospital, Shenzhen, Guangdong, 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, Guangdong, China
| | - Jieqi Peng
- 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, Guangdong, China
- Guangzhou National Laboratory, Guangzhou, Guangdong, China
| | - Huajing Yang
- 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, Guangdong, China
| | - 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, Guangdong, China
- Guangzhou National Laboratory, Guangzhou, Guangdong, 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, Guangdong, China
| | - Youlan Zheng
- 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, Guangdong, China
| | - Ningning Zhao
- 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, Guangdong, 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, Guangdong, China
| | - Shan Xiao
- 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, Guangdong, China
- Department of Pulmonary and Critical Care Medicine, Longgang Central Hospital of Shenzhen, Shenzhen, Guangdong, China
| | - Jianwu Xu
- 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, Guangdong, China
| | - Lifei Lu
- 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, Guangdong, China
| | - Xiaohui 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, Guangdong, China
| | - Kunning 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, Guangdong, China
| | - Jianwei Dai
- GMU-GIBH Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Bing Li
- GMU-GIBH Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, Guangdong, 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, Guangdong, China
- Guangzhou National Laboratory, Guangzhou, Guangdong, 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, Guangdong, China
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Wang X, Qiao Y, Cui Y, Ren H, Zhao Y, Linghu L, Ren J, Zhao Z, Chen L, Qiu L. An explainable artificial intelligence framework for risk prediction of COPD in smokers. BMC Public Health 2023; 23:2164. [PMID: 37932692 PMCID: PMC10626705 DOI: 10.1186/s12889-023-17011-w] [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: 02/12/2023] [Accepted: 10/17/2023] [Indexed: 11/08/2023] Open
Abstract
BACKGROUND Since the inconspicuous nature of early signs associated with Chronic Obstructive Pulmonary Disease (COPD), individuals often remain unidentified, leading to suboptimal opportunities for timely prevention and treatment. The purpose of this study was to create an explainable artificial intelligence framework combining data preprocessing methods, machine learning methods, and model interpretability methods to identify people at high risk of COPD in the smoking population and to provide a reasonable interpretation of model predictions. METHODS The data comprised questionnaire information, physical examination data and results of pulmonary function tests before and after bronchodilatation. First, the factorial analysis for mixed data (FAMD), Boruta and NRSBoundary-SMOTE resampling methods were used to solve the missing data, high dimensionality and category imbalance problems. Then, seven classification models (CatBoost, NGBoost, XGBoost, LightGBM, random forest, SVM and logistic regression) were applied to model the risk level, and the best machine learning (ML) model's decisions were explained using the Shapley additive explanations (SHAP) method and partial dependence plot (PDP). RESULTS In the smoking population, age and 14 other variables were significant factors for predicting COPD. The CatBoost, random forest, and logistic regression models performed reasonably well in unbalanced datasets. CatBoost with NRSBoundary-SMOTE had the best classification performance in balanced datasets when composite indicators (the AUC, F1-score, and G-mean) were used as model comparison criteria. Age, COPD Assessment Test (CAT) score, gross annual income, body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), anhelation, respiratory disease, central obesity, use of polluting fuel for household heating, region, use of polluting fuel for household cooking, and wheezing were important factors for predicting COPD in the smoking population. CONCLUSION This study combined feature screening methods, unbalanced data processing methods, and advanced machine learning methods to enable early identification of COPD risk groups in the smoking population. COPD risk factors in the smoking population were identified using SHAP and PDP, with the goal of providing theoretical support for targeted screening strategies and smoking population self-management strategies.
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Affiliation(s)
- Xuchun Wang
- Department of Health Statistics, School of Public Health, Shanxi Medical University, 56 South XinJian Road, Taiyuan, 030001, P.R. China
| | - Yuchao Qiao
- Department of Health Statistics, School of Public Health, Shanxi Medical University, 56 South XinJian Road, Taiyuan, 030001, P.R. China
| | - Yu Cui
- Department of Health Statistics, School of Public Health, Shanxi Medical University, 56 South XinJian Road, Taiyuan, 030001, P.R. China
| | - Hao Ren
- Department of Health Statistics, School of Public Health, Shanxi Medical University, 56 South XinJian Road, Taiyuan, 030001, P.R. China
| | - Ying Zhao
- Shanxi Centre for Disease Control and Prevention, Taiyuan, Shanxi, 030012, China
| | - Liqin Linghu
- Department of Health Statistics, School of Public Health, Shanxi Medical University, 56 South XinJian Road, Taiyuan, 030001, P.R. China
- Shanxi Centre for Disease Control and Prevention, Taiyuan, Shanxi, 030012, China
| | - Jiahui Ren
- Department of Health Statistics, School of Public Health, Shanxi Medical University, 56 South XinJian Road, Taiyuan, 030001, P.R. China
| | - Zhiyang Zhao
- Department of Health Statistics, School of Public Health, Shanxi Medical University, 56 South XinJian Road, Taiyuan, 030001, P.R. China
| | - Limin Chen
- The Fifth Hospital (Shanxi People's Hospital) of Shanxi Medical University, Taiyuan, Shanxi, 030012, P.R. China.
| | - Lixia Qiu
- Department of Health Statistics, School of Public Health, Shanxi Medical University, 56 South XinJian Road, Taiyuan, 030001, P.R. China.
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Wang H, Meng R, Wang X, Si Z, Zhao Z, Lu H, Wang H, Hu J, Zheng Y, Chen J, Zhao Z, Zhu H, Li X, Xue L, Yan S, Sun J, Su Y, Wu J. A nested case-control study of the effects of dust exposure, smoking on COPD in coal workers. BMC Public Health 2023; 23:2056. [PMID: 37864177 PMCID: PMC10588135 DOI: 10.1186/s12889-023-16944-6] [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: 05/17/2023] [Accepted: 10/09/2023] [Indexed: 10/22/2023] Open
Abstract
BACKGROUND Chronic obstructive pulmonary disease (COPD) represents a prevalent ailment, progressively surging within the ranks of coal mine laborers. The current study endeavors to elucidate the effects of dust exposure and smoking on COPD incidence amongst coal mine workers, while concurrently devising preventive strategies for this affliction. METHOD A nested case-control study was conducted encompassing 1,416 participants aged ≥ 18 years, spanning the duration from (2017-2018) until 2020. A meticulous matching process yielded a cohort of 708 COPD patients, each paired with a control subject, forming a harmonious 1:1 ratio. Multiple logistic regression analysis was employed to scrutinize the associations between smoking, dust exposure with COPD among coal workers. RESULTS The COPD prevalence within the cohort of coal workers under investigation amounted to 22.66%, with an accompanying incidence density of 0.09/person-year. Following meticulous adjustment for confounding variables, it was discerned that cumulative dust exposure within the range of 47.19 ~ (OR: 1.90, 95% CI: 1.05, 3.44), 101.27 ~ (OR: 1.99, 95% CI: 1.17, 3.39), as well as smoking indices of 72 ~ (OR: 1.85, 95% CI: 1.19, 2.88), 145 ~ (OR: 1.74, 95% CI: 1.17, 2.61), 310 ~ (OR: 1.85, 95% CI: 1.23, 2.77) engender an escalated vulnerability to COPD among coal workers. Furthermore, interaction analysis discerned an absence of both multiplicative and additive interactions between dust exposure, smoking, and COPD occurrence amidst coal workers. CONCLUSION Dust exposure and smoking were unequivocally identified as precipitating risk factors for COPD incidence within the population of coal workers, albeit devoid of any discernible interaction between these two causal agents.
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Affiliation(s)
- Hui Wang
- School of Public Health, Caofeidian New Town, North China University of Science and Technology, No.21 Bohai Avenue, Tangshan City, Hebei Province, 063210, People's Republic of China
| | - Rui Meng
- School of Public Health, Caofeidian New Town, North China University of Science and Technology, No.21 Bohai Avenue, Tangshan City, Hebei Province, 063210, People's Republic of China
| | - Xuelin Wang
- School of Public Health, Caofeidian New Town, North China University of Science and Technology, No.21 Bohai Avenue, Tangshan City, Hebei Province, 063210, People's Republic of China
| | - Zhikang Si
- School of Public Health, Caofeidian New Town, North China University of Science and Technology, No.21 Bohai Avenue, Tangshan City, Hebei Province, 063210, People's Republic of China
| | - Zekun Zhao
- School of Public Health, Caofeidian New Town, North China University of Science and Technology, No.21 Bohai Avenue, Tangshan City, Hebei Province, 063210, People's Republic of China
| | - Haipeng Lu
- School of Public Health, Caofeidian New Town, North China University of Science and Technology, No.21 Bohai Avenue, Tangshan City, Hebei Province, 063210, People's Republic of China
| | - Huan Wang
- School of Public Health, Caofeidian New Town, North China University of Science and Technology, No.21 Bohai Avenue, Tangshan City, Hebei Province, 063210, People's Republic of China
| | - Jiaqi Hu
- School of Public Health, Caofeidian New Town, North China University of Science and Technology, No.21 Bohai Avenue, Tangshan City, Hebei Province, 063210, People's Republic of China
| | - Yizhan Zheng
- School of Public Health, Caofeidian New Town, North China University of Science and Technology, No.21 Bohai Avenue, Tangshan City, Hebei Province, 063210, People's Republic of China
| | - Jiaqi Chen
- School of Public Health, Caofeidian New Town, North China University of Science and Technology, No.21 Bohai Avenue, Tangshan City, Hebei Province, 063210, People's Republic of China
| | - Ziqi Zhao
- School of Public Health, Caofeidian New Town, North China University of Science and Technology, No.21 Bohai Avenue, Tangshan City, Hebei Province, 063210, People's Republic of China
| | - Hongmin Zhu
- School of Public Health, Caofeidian New Town, North China University of Science and Technology, No.21 Bohai Avenue, Tangshan City, Hebei Province, 063210, People's Republic of China
| | - Xiaoming Li
- School of Public Health, Caofeidian New Town, North China University of Science and Technology, No.21 Bohai Avenue, Tangshan City, Hebei Province, 063210, People's Republic of China
| | - Ling Xue
- School of Public Health, Caofeidian New Town, North China University of Science and Technology, No.21 Bohai Avenue, Tangshan City, Hebei Province, 063210, People's Republic of China
| | - Shengguang Yan
- School of Public Health, Caofeidian New Town, North China University of Science and Technology, No.21 Bohai Avenue, Tangshan City, Hebei Province, 063210, People's Republic of China
| | - Jian Sun
- School of Public Health, Caofeidian New Town, North China University of Science and Technology, No.21 Bohai Avenue, Tangshan City, Hebei Province, 063210, People's Republic of China
| | - Yu Su
- Personnel Department, North China University of Science and Technology, Tangshan City, Hebei Province, China.
| | - Jianhui Wu
- School of Public Health, North China University of Science and Technology, Tangshan, Hebei Province, China.
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Zhang X, Zhu X, Wang X, Wang L, Sun H, Yuan P, Ji Y. Association of Exposure to Biomass Fuels with Occurrence of Chronic Obstructive Pulmonary Disease in Rural Western China: A Real-World Nested Case-Control Study. Int J Chron Obstruct Pulmon Dis 2023; 18:2207-2224. [PMID: 37841748 PMCID: PMC10572384 DOI: 10.2147/copd.s417600] [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: 04/17/2023] [Accepted: 09/17/2023] [Indexed: 10/17/2023] Open
Abstract
Background This study investigated the potential contribution of biomass fuels exposure to the occurrence of chronic obstructive pulmonary disease (COPD) in rural areas of western China. Methods We analyzed data collected between October 2017 and October 2018 from a nested case-control study of individuals at least 40 years old in the general population in Mianyang City, Sichuan Province, China. Demographic information was collected using a custom-designed questionnaire, and lung function was measured using spirometry. We used multivariate logistic regression to explore the possible relationship between biomass fuels exposure and COPD, as well as between other potential risk factors and COPD. Bayes' theorem was used to estimate weights for different COPD risk factors. Results COPD was newly diagnosed in 500 of the 11398 adults surveyed, corresponding to an incidence of 4.39%. Individuals who were exposed to biomass fuels were at a significantly greater risk of developing COPD than those not exposed (OR 2.58, 95% CI 2.23-3.05). In subgroup analysis, exposure to biomass fuels increased the risk of COPD in men by 1.71 times (95% CI 1.09-2.68) and in women by 2.88 times (95% CI 2.01-3.48), in never-smokers by 2.18 times. Bayesian weights for COPD risk factors were highest for poor kitchen ventilation (W=31.13%) and biomass fuels exposure (W=18.08%). Conclusion Our data indicate that rural Chinese who are exposed to biomass fuels during cooking or heating are at greater risk of developing COPD. Efforts should be made to strengthen the construction of clean energy infrastructure, so as to reduce the use of biomass fuels and thereby help prevent COPD.
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Affiliation(s)
- Xuan Zhang
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, Sichuan Province, 610041, People’s Republic of China
| | - Xia Zhu
- Center of Infectious Disease, West China Hospital, Sichuan University, Chengdu, Sichuan Province, 610041, People’s Republic of China
| | - Xiaoli Wang
- Department of Infectious disease Prevention and Control, Center for Disease Control and Prevention of Fucheng, Mianyang, Sichuan Province, 621000, People’s Republic of China
| | - Liping Wang
- Department of Disease Control, Health Bureau of Jiangyou, Jiangyou, Sichuan Province, 621700, People’s Republic of China
| | - Hongying Sun
- Department of Tuberculosis Prevention and Control, Center for Disease Control and Prevention of Mianyang, Mianyang, Sichuan Province, 621000, People’s Republic of China
| | - Ping Yuan
- Department of Epidemiology and Statistics, West China School of Public Health, Sichuan University, Chengdu, Sichuan Province, 610041, People’s Republic of China
| | - Yulin Ji
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, Sichuan Province, 610041, People’s Republic of China
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Li Y, Wen F, Ma Q, Chen R, Sun Y, Liu T, Gu C, Hu S, Song J, Compton C, Zheng J, Zhong N, Jones P. Use of CAPTURE to Identify Individuals Who May or May Not Require Treatment for Chronic Obstructive Pulmonary Disease. Am J Respir Crit Care Med 2023; 208:435-441. [PMID: 37315325 DOI: 10.1164/rccm.202303-0504oc] [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: 03/15/2023] [Accepted: 06/14/2023] [Indexed: 06/16/2023] Open
Abstract
Rationale: The CAPTURE tool (Chronic Obstructive Pulmonary Disease [COPD] Assessment in Primary Care to Identify Undiagnosed Respiratory Disease and Exacerbation Risk) was developed to identify patients with undiagnosed COPD with an FEV1 <60% predicted or risk of exacerbation as treatment criteria. Objectives: To test the ability of CAPTURE to identify patients requiring treatment because of symptoms or risk of exacerbation or hospitalization. Methods: Data were from COMPASS (Clinical, Radiological and Biological Factors Associated with Disease Progression, Phenotypes and Endotypes of COPD in China), a prospective study of COPD, chronic bronchitis without airflow limitation (postbronchodilator FEV1/FVC ratio ≥0.70), and healthy never-smokers. CAPTURE was tested as questions alone and with peak expiratory flow measurement. Sensitivity, specificity, and positive and negative predicted values (PPV and NPV) were calculated for COPD Assessment Test (CAT) scores ⩾10 versus <10, modified Medical Research Council (mMRC) scores ⩾2 versus <2, and at least one moderate exacerbation or hospitalization in the previous year versus none. Measurements and Main Results: Patients with COPD (n = 1,696) had a mean age of 65 ± 7.5 years, and 90% were male, with a postbronchodilator FEV1 of 66.5 ± 20.1% predicted. Control participants (n = 307) had a mean age of 60.2 ± 7.0 years, and 65% were male, with an FEV1/FVC ratio of 0.78 ± 0.04. CAPTURE using peak expiratory flow showed the best combination of sensitivity and specificity. Sensitivity and specificity were 68.5% and 64.0%, respectively, to detect a CAT score ⩾10; 85.6% and 61.0% to detect an mMRC score ⩾2; 63.5% and 55.6% to detect at least one moderate exacerbation; and 70.2% and 59.4% to detect at least one hospitalization. PPVs ranged from 15.6% (moderate exacerbations) to 47.8% (CAT score). NPVs ranged from 80.8% (CAT score) to 95.6% (mMRC score). Conclusions: CAPTURE has good sensitivity to identify patients with COPD who may require treatment because of increased symptoms or risk of exacerbations or hospitalization, including those with an FEV1 >60% predicted. High NPV values show that CAPTURE can also exclude those who may not require treatment. Clinical trial registered with www.clinicaltrials.gov (NCT04853225).
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Affiliation(s)
- Yun Li
- Department of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Fuqiang Wen
- Department of Pulmonary and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Qianli Ma
- Department of Pulmonary and Critical Care Medicine, the North Kuanren General Hospital, Chongqing, China
| | - Rongchang Chen
- Department of Pulmonary and Critical Care Medicine, Shenzhen People's Hospital, Shenzhen, China
| | - Yongchang Sun
- Department of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, China
| | | | | | | | | | - Chris Compton
- Global Medical, Global Specialty & Primary Care TA, GSK, Brentford, United Kingdom
| | - Jinping Zheng
- Department of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Nanshan Zhong
- Department of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Paul Jones
- Global Medical, Global Specialty & Primary Care TA, GSK, Brentford, United Kingdom
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Li N, Yi X, Chen C, Dai Z, Deng Z, Pu J, Zhou Y, Li B, Wang Z, Ran P. The gut microbiome as a potential source of non-invasive biomarkers of chronic obstructive pulmonary disease. Front Microbiol 2023; 14:1173614. [PMID: 37555072 PMCID: PMC10405926 DOI: 10.3389/fmicb.2023.1173614] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 07/12/2023] [Indexed: 08/10/2023] Open
Abstract
BACKGROUND The link between gut microbial dysbiosis and the development of chronic obstructive pulmonary disease (COPD) is of considerable interest. However, little is known regarding the potential for the use of the fecal metagenome for the diagnosis of COPD. METHODS A total of 80 healthy controls, 31 patients with COPD severity stages I or II, and 49 patients with COPD severity stages III or IV fecal samples were subjected to metagenomic analysis. We characterized the gut microbiome, identified microbial taxonomic and functional markers, and constructed a COPD disease classifier using samples. RESULTS The fecal microbial diversity of patients with COPD stages I or II was higher than that of healthy controls, but lower in patients with COPD stages III or IV. Twenty-one, twenty-four, and eleven microbial species, including potential pathogens and pro-inflammatory bacteria, were significantly enriched or depleted in healthy controls, patients with COPD stages I or II, and patients with COPD stages III & IV. The KEGG orthology (KO) gene profiles derived demonstrated notable differences in gut microbial function among the three groups. Moreover, gut microbial taxonomic and functional markers could be used to differentiate patients with COPD from healthy controls, on the basis of areas under receiver operating characteristic curves (AUCs) of 0.8814 and 0.8479, respectively. Notably, the gut microbial taxonomic features differed between healthy individuals and patients in stages I-II COPD, which suggests the utility of fecal metagenomic biomarkers for the diagnosis of COPD (AUC = 0.9207). CONCLUSION Gut microbiota-targeted biomarkers represent potential non-invasive tools for the diagnosis of COPD.
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Affiliation(s)
- Naijian Li
- Department of Allergy and Clinical Immunology, 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, China
| | - Xinzhu Yi
- Institute of Ecological Science, School of Life Science, South China Normal University, Guangzhou, Guangdong, China
| | - Chiyong Chen
- The GMU-GIBH Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Zhouli Dai
- College of Medicine, Lishui University, Lishui, Zhejiang, China
| | - Zhishan Deng
- Department of Allergy and Clinical Immunology, 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, China
| | - Jinding Pu
- Department of Respiratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Yumin Zhou
- Department of Allergy and Clinical Immunology, 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, China
| | - Bing Li
- The GMU-GIBH Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Zhang Wang
- Institute of Ecological Science, School of Life Science, South China Normal University, Guangzhou, Guangdong, China
| | - Pixin Ran
- Department of Allergy and Clinical Immunology, 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, China
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Wang Z, Li Y, Lin J, Huang J, Zhang Q, Wang F, Tan L, Liu S, Gao Y, Peng S, Fang H, Weng Y, Li S, Gao Y, Zhong N, Zheng J. Prevalence, risk factors, and mortality of COPD in young people in the USA: results from a population-based retrospective cohort. BMJ Open Respir Res 2023; 10:e001550. [PMID: 37451700 PMCID: PMC10351298 DOI: 10.1136/bmjresp-2022-001550] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 06/09/2023] [Indexed: 07/18/2023] Open
Abstract
BACKGROUND Chronic obstructive pulmonary disease (COPD) has been considered a disease of the elderly, but it could also occur in young people aged 20-50 years. However, the characteristics and prognosis of COPD in such young people remain unclear. METHODS Our retrospective cohort study was based on the National Health and Nutrition Examination Survey (NHANES). Participants who 20-50 years old at baseline and completed the pulmonary function test were enrolled in our study cohort. These participants were followed up to 31 December 2019. The sample weight and Taylor Linearization Procedures were adapted to make representative estimations of prevalence and baseline characteristics. The weighted logistic regression model was used to assess the risk factors. The propensity score method and Cox proportional hazard models were applied to calculate the risk of mortality. RESULTS The weighted prevalence of COPD in young people in the USA was 1.64% and it increased with age, with a higher prevalence in males than females (2.59% vs 0.72%, p<0.001). The proportion of Global Initiative for COPD 1-2 was 96.7%. Males (OR=4.56, 95% CI: 2.74 to 7.61), non-Hispanic black (OR=2.77; 95% CI: 1.14 to 6.75), non-Hispanic white (OR=4.93; 95% CI: 2.16 to 11.28) and smoking (current smoking, OR=2.36; 95% CI: 1.40 to 3.98; ever smoking, OR=1.92; 95% CI: 1.05 to 3.51; passive smoking, OR=2.12; 95% CI: 1.41 to 3.20) were shown to be independent risk factors for COPD in young people. Compared with those matched by sex, age and race, the young people with COPD had a higher risk of all-cause death (HR=3.314, p<0.001). CONCLUSION COPD in young people has a low prevalence in the USA and its independent risk factors included male, race (non-Hispanic black and non-Hispanic white) and smoking. Young COPD has a higher risk of all-cause mortality than the matched non-COPD.
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Affiliation(s)
- Zihui Wang
- National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Yun Li
- National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Junfeng Lin
- National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Jinhai Huang
- National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Qing Zhang
- National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Fengyan Wang
- National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Lunfang Tan
- National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Shuyi Liu
- National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Yuan Gao
- Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Shiyin Peng
- Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Heai Fang
- Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Yuting Weng
- Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Shiyin Li
- Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Yi Gao
- National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Nanshan Zhong
- National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
- Guangzhou National Laboratory, Guangzhou, Guangdong, People's Republic of China
| | - Jinping Zheng
- National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
- Guangzhou National Laboratory, Guangzhou, Guangdong, People's Republic of China
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Liu X, Huang X, Xu F. The influence of pyroptosis-related genes on the development of chronic obstructive pulmonary disease. BMC Pulm Med 2023; 23:167. [PMID: 37194062 DOI: 10.1186/s12890-023-02408-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 03/31/2023] [Indexed: 05/18/2023] Open
Abstract
Increasing evidences have demonstrated that pyroptosis exerts key roles in the occurrence, development of chronic obstructive pulmonary disease. However, the mechanisms of pyroptosis in COPD remain largely unknown. In our research, Statistics were performed using R software and related packages in this study. Series matrix files of small airway epithelium samples were downloaded from the GEO database. Differential expression analysis with FDR < 0.05 was performed to identify COPD-associated pyroptosis-related genes. 8 up-regulated genes (CASP4, CASP5, CHMP7, GZMB, IL1B, AIM2, CASP6, GSDMC) and 1 down-regulated genes (PLCG1) was identified as COPD-associated pyroptosis-related genes. Twenty-six COPD key genes was identified by WGCNA analysis. PPI analysis and gene correlation analysis showed their relationship clearly. KEGG and GO analysis have revealed the main pyroptosis-related mechanism of COPD. The expression of 9 COPD-associated pyroptosis-related genes in different grades was also depicted. The immune environment of COPD was also explored. Furthermore, the relationship of pyroptosis-related genes and the expression of immune cells was also be shown in the end. In the end, we concluded that pyroptosis influences the development of COPD. This study may provide new insight into the novel therapeutic targets for COPD clinical treatment.
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Affiliation(s)
- Xinlong Liu
- Department of Intensive Care Unit, University of Chinese Academy of Sciences-Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Xiaoling Huang
- Department of Intensive Care Unit, University of Chinese Academy of Sciences-Shenzhen Hospital, Shenzhen, Guangdong, China.
| | - Feng Xu
- Department of Intensive Care Unit, University of Chinese Academy of Sciences-Shenzhen Hospital, Shenzhen, Guangdong, China.
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Xia JJ, Zou XX, Qiu Y, Li WJ, Huang L, Xie WY, Xue HH, Yang M. Investigation and Analysis of Risk Factors and Psychological Status of Chronic Obstructive Pulmonary Disease in Permanent Residents Aged 40 or Older in Hongyuan County, Aba Prefecture, Sichuan Province. Int J Chron Obstruct Pulmon Dis 2023; 18:827-835. [PMID: 37193039 PMCID: PMC10183191 DOI: 10.2147/copd.s399279] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 04/06/2023] [Indexed: 05/18/2023] Open
Abstract
Background COPD is an important public health problem worldwide, and there is a lack of epidemiological data on COPD in high-altitude areas in Sichuan province. Thus, we aimed to investigate the prevalence, risk factors and psychological status of COPD in Hongyuan County, Aba Prefecture, Sichuan Province, which is located at an average altitude of 3507 meters. Methods The 40 years old or greater permanent residents of Hongyuan County were selected by random sampling method, and the lung function test and questionnaires were conducted to determine the disease situation of COPD. The prevalence of COPD was compared among different factors of investigation, and multivariate logistic regression analysis was used for different factors to determine the independent influencing factors of COPD disease. Results A total of 456 permanent residents aged 40 years or older in Hongyuan County, 436 qualified for quality control, among which 53 cases confirmed COPD, the total prevalence was 12.16%, among which the prevalence was 14.55% for men and it was 8.07% for women. There were significant differences in different gender, ethnicity, age, smoking status, smoking years, educational level, heating style, history of tuberculosis, and prevalence of BMI (P <0.05). Binary logistic regression analysis showed that age ≥60 years (OR = 2.810, 95% CI: 1.0457.557), Han Nationality (OR: 3.238, 95% CI: 1.290-8.127), the heating method including biofuels (OR: 18.119, 95% CI: 4.140-79.303) and coals (OR: 6.973, 95% CI: 1.856-26.200), medical history of pulmonary tuberculosis (OR: 2.670, 95% CI: 1.278-5.578), the education level including junior high school (OR: 3.336, 95% CI: 1.2259.075), high school and above (OR: 5.910, 95% CI: 1.796-19.450), and smoking (OR: 10.774, 95% CI: 3.622-32.051) were independent risk factors for COPD disease. The prevalence of anxiety was 16.98%, and the prevalence of depression was 13.2%. Conclusion The prevalence of COPD in Hongyuan County was higher than the national level; age, ethnic group, education, smoking, heating method, and history of tuberculosis are the independent influencing factors of COPD in Hongyuan County. The prevalence of anxiety and depression is low.
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Affiliation(s)
- Jun-Jie Xia
- Department of Respiratory, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, Sichuan, 621000, People’s Republic of China
| | - Xing-Xiong Zou
- Department of Radiology, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, Sichuan, 621000, People’s Republic of China
| | - Yu Qiu
- Department of Respiratory, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, Sichuan, 621000, People’s Republic of China
| | - Wen-Jun Li
- Department of Respiratory, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, Sichuan, 621000, People’s Republic of China
| | - Ling Huang
- Department of Respiratory, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, Sichuan, 621000, People’s Republic of China
| | - Wen-Ying Xie
- Department of Respiratory, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, Sichuan, 621000, People’s Republic of China
| | - Hui-Hong Xue
- Department of Respiratory, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, Sichuan, 621000, People’s Republic of China
| | - Ming Yang
- Department of Respiratory, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, Sichuan, 621000, People’s Republic of China
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Liao C, Li Z, Li F, Xu D, Jing J. Effect of nitric oxide synthase gene polymorphism on inflammatory response in patients with chronic obstructive pulmonary disease. Cytokine 2023; 166:156207. [PMID: 37088001 DOI: 10.1016/j.cyto.2023.156207] [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: 02/01/2023] [Revised: 04/07/2023] [Accepted: 04/07/2023] [Indexed: 04/25/2023]
Abstract
This study aimed to investigate the association between nitric oxide synthase gene polymorphisms and the inflammatory responses in patients with 'fast-' and 'slow-' developing chronic obstructive pulmonary disease (COPD). In the main process, 190 patients with slow-developing COPD, 94 patients with fast-developing COPD and 105 healthy volunteers were selected for inclusion. Endothelial nitric oxide synthase (eNOS) was detected using western-blot eNOS sites, and inducible nitric oxide synthase (iNOS) was detected through SNPshot. T helper 17 cells (Th17) and regulator T (Treg) cells were detected via flow cytometry, and interferon-gamma, tumour necrosis factor-alpha, interleukin (IL)-17, IL-10, IL-6, IL-4 and IL-2 were detected using a cytometric bead array. The final results and conclusions drawn from the tests suggest that Th17/Treg-mediated immune inflammation plays an important role in the pathogenesis of COPD, but whether it affects the development of COPD needs further investigation. Overall, COPD patients with a young age of onset, young age of smoking initiation and small body mass index, as well as COPD patients with CC at rs3729508 in the iNOS gene and non-GG at rs7830 in the eNOS gene, may be more likely to contract fast-developing COPD.
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Affiliation(s)
- Chunyan Liao
- Department of Pulmonary and Critical Care Medicine, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Urumqi 830000, China
| | - Zheng Li
- Department of Pulmonary and Critical Care Medicine, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Urumqi 830000, China
| | - Fengsen Li
- Department of Pulmonary and Critical Care Medicine, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Urumqi 830000, China.
| | - Dan Xu
- Department of Pulmonary and Critical Care Medicine, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Urumqi 830000, China
| | - Jing Jing
- Department of Pulmonary and Critical Care Medicine, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Urumqi 830000, China
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Fan S, Zhang Z, Wang Q. Efficacy of acupuncture therapy for stable chronic obstructive pulmonary disease: A systematic review and meta-analysis. Medicine (Baltimore) 2023; 102:e33537. [PMID: 37058051 PMCID: PMC10101258 DOI: 10.1097/md.0000000000033537] [Citation(s) in RCA: 2] [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: 11/11/2022] [Accepted: 03/24/2023] [Indexed: 04/15/2023] Open
Abstract
BACKGROUND Acupuncture therapy (AT) is a widely used, alternative medicine in China. AT is an effective treatment for many diseases, but its efficacy in stable chronic obstructive pulmonary disease (COPD) remains controversial. Therefore, we performed the present meta-analysis to evaluate the efficacy of AT in stable COPD patients. METHODS Randomized controlled trials (RCTs) for AT efficacy in stable COPD patients were searched in literature databases from the inception to December 31, 2021. Pooled effect sizes of outcome measurements with respect to lung function (forced vital capacity [FVC], forced expiratory volume in 1 second [FEV1], FEV1 in predicted value [FEV1%], FEV1/FVC), quality of life (St. George respiratory questionnaire [SGRQ]), exercise capacity (6-minute walking distance [6MWD]) and effective rate were estimated by calculating weighted mean difference (WMD) or odds ratio (OR) with corresponding 95% confidence interval (95% CI), respectively, by a random-effect model. RESULTS A total of 28 RCTs with 2130 COPD patients were included. AT group had significant improvement in FVC (WMD = 0.29 L, 95% CI: 0.22-0.36, P < .001), FEV1 (WMD = 0.33 L, 95% CI: 0.23-0.43, P < .001), FEV1% (WMD = 3.30%, 95% CI: 3.30-4.64, P < .001), FEV1/FVC (WMD = 5.45%, 95% CI: 4.41-6.49, P < .001), 6MWD (WMD = 45.48 m, 95% CI: 28.21-62.16, P < .001), SGRQ (WMD = -7.79, 95% CI: -12.34 to -3.24, P < .001), and a higher effective rate (OR = 3.71, 95% CI: 2.50-5.52, P < .001) compared to the control group. Subgroup analysis stratified by comparison model (AT combined with other treatments vs other treatments, AT alone vs sham AT) and treatment duration (≥8 weeks, <8 weeks) also showed more improvement in AT arm than control arm without significant between-subgroup difference. Adverse events were reported in a few studies and only mild reactions were observed. CONCLUSION AT is effective in improving lung function, quality of life and exercise capacity, and can be used as an adjunctive treatment in patients with stable COPD.
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Affiliation(s)
- Su Fan
- Special Treatment Center, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Zhenyu Zhang
- Special Treatment Center, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Qinglin Wang
- Department of Vascular Surgery, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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Zhang X, Lei Z, Wu Y, Song Y, Wu X, Yang B, Fan J, Feng S, Wu L, Li L, Dai Q, Zeng Z, Feng M, Zhang T. Prevalence and Risk Factors for COPD in an Urbanizing Rural Area in Western China: A Cross-Sectional Study. Int J Chron Obstruct Pulmon Dis 2023; 18:459-468. [PMID: 37038543 PMCID: PMC10082583 DOI: 10.2147/copd.s400213] [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: 12/06/2022] [Accepted: 03/27/2023] [Indexed: 04/07/2023] Open
Abstract
Purpose To investigate the prevalence and risk factors for chronic obstructive pulmonary disease (COPD) in a rural area in western China with severe air pollution. Patients and Methods 10% of local residents aged 40 years and above were included using a convenience sampling method. This was a cross-sectional study. A self-designed questionnaire was used to collect participants' demographic data. The screening program was comprised of two steps: First, a portable electronic spirometer was used for COPD screening. Those participants with FEV1/FVC ratio <0.7 were then referred to a confirmatory pulmonary function (PF) test. COPD was confirmed according to the 2020 Global Initiative for Chronic Obstructive Lung Disease criteria. Results A total of 4577 participants aged 40 years old or above were included in the final analysis. Examination with a mobile spirometer identified 1159 individuals for confirmatory testing; after that, of the 1159 individuals, 889 were diagnosed with COPD by the confirmatory PF test. The prevalence of COPD among the target group was 19.4%. Older age, male sex (odds ratio [OR] = 1.537, 95% confidence interval [CI] 1.246-1.894), smoking history (OR = 1.338, 95% CI 1.069-1.675), family history of respiratory disease (OR = 1.625, 95% CI 1.350-1.957), education level (OR = 0.735, 95% CI 0.617-0.876), overweight (OR = 0.614, 95% CI 0.517-0.730) and obesity (OR = 0.572, 95% CI 0.449-0.721) were identified as independent factors associated with COPD. The screening program helped earlier detection of COPD in 719 participants. Conclusion COPD was highly prevalent in the rural area studied. Rural residents who were older, current or ever-smokers, male and those who had a lower education level were more vulnerable to developing COPD. The COPD screening program may be helpful for earlier disease detection in rural health-care settings.
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Affiliation(s)
- Xiaolong Zhang
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People’s Republic of China
| | - Zhiyin Lei
- Department of Respiratory and Critical Care Medicine, Jiajia Central Health Center of Chengdu Eastern New Area, Chengdu Eastern New Area, Sichuan Province, People’s Republic of China
| | - Ying Wu
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan Province, People’s Republic of China
| | - Yuanyuan Song
- Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People’s Republic of China
| | - Xiaoling Wu
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan Province, People’s Republic of China
- Department of Nursing, Sanya People’s Hospital/West China (Sanya) Hospital, Sichuan University, Sanya, Hainan Province, People’s Republic of China
| | - Bo Yang
- Department of Respiratory and Critical Care Medicine, Jiajia Central Health Center of Chengdu Eastern New Area, Chengdu Eastern New Area, Sichuan Province, People’s Republic of China
| | - Jianmei Fan
- Department of Respiratory and Critical Care Medicine, Jiajia Central Health Center of Chengdu Eastern New Area, Chengdu Eastern New Area, Sichuan Province, People’s Republic of China
| | - Shixu Feng
- Department of Respiratory and Critical Care Medicine, Jiajia Central Health Center of Chengdu Eastern New Area, Chengdu Eastern New Area, Sichuan Province, People’s Republic of China
| | - Liping Wu
- Department of Respiratory and Critical Care Medicine, Jiajia Central Health Center of Chengdu Eastern New Area, Chengdu Eastern New Area, Sichuan Province, People’s Republic of China
| | - Lingyan Li
- Department of Respiratory and Critical Care Medicine, Jiajia Central Health Center of Chengdu Eastern New Area, Chengdu Eastern New Area, Sichuan Province, People’s Republic of China
| | - Qin Dai
- Department of Respiratory and Critical Care Medicine, Jiajia Central Health Center of Chengdu Eastern New Area, Chengdu Eastern New Area, Sichuan Province, People’s Republic of China
| | - Zhen Zeng
- Department of Respiratory and Critical Care Medicine, Jiajia Central Health Center of Chengdu Eastern New Area, Chengdu Eastern New Area, Sichuan Province, People’s Republic of China
| | - Mei Feng
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan Province, People’s Republic of China
| | - Tingting Zhang
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan Province, People’s Republic of China
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Peng K, Li Z, Gao TR, Lv J, Wang WJ, Zhan P, Yao WC, Zhao H, Wang H, Xu DX, Huang Y, Tan ZX. Polycyclic aromatic hydrocarbon exposure burden: Individual and mixture analyses of associations with chronic obstructive pulmonary disease risk. ENVIRONMENTAL RESEARCH 2023; 222:115334. [PMID: 36702192 DOI: 10.1016/j.envres.2023.115334] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 12/01/2022] [Accepted: 01/18/2023] [Indexed: 06/18/2023]
Abstract
Accumulating data demonstrate that polycyclic aromatic hydrocarbons (PAH) exposure is linked to compromised respiratory diseases. This study aimed to analyze urinary PAH metabolites and their associations with chronic obstructive pulmonary disease (COPD) in a sample size of 3015 subjects from a total population of 50,588 from the National Health and Nutrition Examination Survey (NHANES) in 2007-2016. Results showed that the most predominant metabolite was 1-Hydroxynaphthalene (1-NAP, 84%) with a geometric mean concentration of 50,265 ng/L, followed by its homologue 2-NAP (10%), both of which arose from sources including road emission, smoking and cooking. Multiple logistic regression showed that seven of the ten major PAH metabolites were correlated with increased COPD risk: including 1-NAP (OR: 1.83, 95%CI: 1.25, 2.69), 2-Hydroxyfluorene (2-FLU, OR: 2.29, 95%CI: 1.42, 3.68) and 1-Hydroxyphenanthrene (1-PHE, OR: 2.79, 95%CI: 1.85, 4.21), when compared to the lowest tertile after adjusted for covariates. Total exposure burden per PAH congener sub-group demonstrated persistent positive correlation with COPD for ∑PHE (OR: 1.80, 95%CI: 1.34, 2.43) and ∑FLU (OR: 2.74, 95%CI: 1.77, 4.23) after adjusted for covariates. To address the contribution of PAH exposure as mixture towards COPD, weighted quantile sum (WQS) regression analyses revealed that 1-NAP, 9-Hydroxyfluorene (9-FLU), 3-Hydroxyfluorene (3-FLU) and 1-PHE were among the top contributors in the associations with COPD. Our results demonstrate the contemporary yet ongoing exposure burden of PAH exposure for over a decade, particularly towards NAPs and FLUs that contribute significantly to COPD risk, calling for more timely environmental regulation.
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Affiliation(s)
- Kun Peng
- Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Zhao Li
- Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Tian-Rui Gao
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei, China
| | - Jia Lv
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei, China
| | - Wen-Jing Wang
- Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Ping Zhan
- Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Wen-Cong Yao
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei, China
| | - Hui Zhao
- Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Hua Wang
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei, China
| | - De-Xiang Xu
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei, China
| | - Yichao Huang
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei, China.
| | - Zhu-Xia Tan
- Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Hefei, China.
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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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Tang W, Rong Y, Zhang H, Zhan Z, Yuan L, Ning Y, Lin W. The correlation between a Th1/Th2 cytokines imbalance and vitamin D level in patients with early chronic obstructive pulmonary disease (COPD), based on screening results. Front Physiol 2023; 14:1032786. [PMID: 37008007 PMCID: PMC10063780 DOI: 10.3389/fphys.2023.1032786] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 02/27/2023] [Indexed: 03/19/2023] Open
Abstract
Objective: This study explored the correlation between a Th1/Th2 cytokines imbalance and 25-hydroxy-vitamin D (vit D) level in early chronic obstructive pulmonary disease (COPD), provided experimental rationales for the role of vit D in the prevention and control of COPD, and elucidated the potential anti-inflammatory mechanism involved.Methods: This study was based on the results of the “Screening and Early Diagnosis of COPD” public health project conducted through Shenzhen Municipal Qianhai Shekou Free Trade Zone Hospital. Patients with early COPD were selected as study participants. A prospective, randomized, and controlled method was employed for assigning eligible participants into three groups, i.e., a COPD lung function (LF) I, COPD LF II, and a healthy group, respectively (n = 40 each). The serum content of tumor necrosis factor alpha (TNF-α), interferon-gamma (IFN-γ), interleukin 4 (IL-4), and IL-6 were measured by enzyme-linked immunosorbent assay, and the ratio of IFN-γ/IL-4 treated as a marker for Th1/Th2. The serum concentration of 25-hydroxyl-vit D (25 [OH]D) was quantified by a chemiluminescence assay. Statistical processing was performed, and the correlations between changes in the above parameters with vit D level and LF parameters were examined.Results: There were differences in FEV1pred%, FEV1/FVC, IFN-γ, IL-4, IL-6 and IFN-γ/IL-4 between the healthy group, the COPD LF I group and the COPD LF II group (p < 0.05). In early COPD, Th1/Th2 cytokines was positively correlated with forced expiratory volume/expected value (FEV1pred%) (r = 0.485, p < 0.001) and forced expiratory volume/forced vital capacity (FEV1/FVC) (r = 0.273, p = 0.018); Th1/Th2 cytokines levels positively correlated with vit D level (r = 0.27, p = 0.02), and 25(OH)D level positively correlated with FEV1pred% (r = 0.695, p < 0.001).Conclusion: Vitamin D deficiency was ubiquitous in patients with early COPD. It was positively correlated with the FEV1pred% and FEV1/FVC LF parameters. Accordingly, this study provides experimental rationales for the role of vit D in the prevention and control of COPD and the potential anti-inflammatory mechanisms involved.
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Shui LL, Cai JJ, Zhong XQ, Li YL, He MR, Chen YJ. Chronic Obstructive Pulmonary Disease Patients With High Peripheral Blood Eosinophil Counts Have Better Predicted Improvement in 6MWD After Rehabilitation: A PRELIMINARY STUDY. J Cardiopulm Rehabil Prev 2023; 43:122-128. [PMID: 36223406 DOI: 10.1097/hcr.0000000000000726] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE The objective of this investigation was to determine whether chronic obstructive pulmonary disease (COPD) patients with high blood eosinophil (EOS) counts had better improvement in 6-min walk test (6MWT) after pulmonary rehabilitation (PR). METHODS Fifty COPD patients were randomly assigned to either the rehabilitation group (RG) or the control group (CG). Patients in the RG (8 wk PR + routine medication) and the CG (routine medication) were followed for 32 wk. According to the blood EOS level, the RG was divided into an EOS ≥ 200 cells/μL group and EOS < 200 cells/μL group. The 6MWT distance, Borg Scale, and COPD Assessment Test (CAT) were evaluated before intervention and 8 wk and 32 wk later. RESULTS After the 8-wk intervention, 37 patients (19 RG/18 CG) completed the study. At 8-wk and 32-wk follow-up from baseline, a statistically significant difference was found between these two groups in the 6MWT, Borg Scale, and CAT. Compared with baseline, the 6MWT in the RG increased 49.1 ± 40.2 m (95% CI, 29.7-68.5, P < .001) at 8 wk and 60.8 ± 42.1 m (95% CI, 40.5-81.6, P < .001) at 32 wk. In addition, the improvement of 6MWT in the EOS ≥ 200 cells/μL RG group was higher than that in the EOS < 200 cells/μL group (40.1 ± 17.6 m, 95% CI, 36.8-43.4; P = .036) at 32-wk follow-up from baseline. CONCLUSION An 8-wk PR can improve the exercise capacity of COPD patients, and the benefits persistent for 24 wk. The improvement in the 6MWT was more significant in COPD patients with a high blood EOS count.
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Affiliation(s)
- Li-Li Shui
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China Mss Shui, Chen, Cai, and Zhong and Messrs Li and He
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Lu L, Peng J, Wu F, Yang H, Zheng Y, Deng Z, Zhao N, Dai C, Xiao S, Wen X, Xu J, Wu X, Zhou K, Ran P, Zhou Y. Clinical characteristics of airway impairment assessed by impulse oscillometry in patients with chronic obstructive pulmonary disease: findings from the ECOPD study in China. BMC Pulm Med 2023; 23:52. [PMID: 36737731 PMCID: PMC9896683 DOI: 10.1186/s12890-023-02311-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 01/04/2023] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND The role of airway impairment assessed by impulse oscillometry (IOS) in patients with chronic obstructive pulmonary disease (COPD) remains unclear. Therefore, this study aimed to analyze the proportion and clinical characteristics of airway impairment assessed by IOS across COPD severities, and explore whether airway impairment is a subtype of COPD. METHODS This study was based on cross-sectional data from the ECOPD cohort in Guangdong, China. Subjects were consecutively recruited from July 2019 to August 2021. They filled out questionnaires and underwent lung function tests, IOS and computed tomography (CT). COPD was defined as post-bronchodilator forced expiratory volume in one second/forced vital capacity < lower limit of normal (LLN). Meanwhile, airway impairment was defined as IOS parameters > upper limit of normal or < LLN. On the one hand, Poisson regression was employed to analyze the associations between acute exacerbations of COPD (AECOPD) in the previous year and airway impairment. On the other hand, logistic regression was used to assess differences in CT imaging between patients with IOS parameters' abnormalities and patients with normal IOS parameters. RESULTS 768 COPD subjects were finally enrolled in the study. The proportion of airway impairment assessed by R5, R20, R5-R20, X5, AX, and Fres was 59.8%, 29.7%, 62.5%, 52.9%, 60.9% and 67.3%, respectively. Airway impairment assessed by IOS parameters (R5, R5-R20, X5, AX, and Fres) in patients with COPD was present across all severities of COPD, particularly in GOLD 3-4 patients. Compared with patients with normal IOS parameters, patients with IOS parameters' abnormalities had more respiratory symptoms, more severe airway obstruction and imaging structural abnormalities. Patients with IOS parameters' abnormalities assessed by R5 [risk ratio (RR): 1.58, 95% confidential interval (CI): 1.13-2.19, P = 0.007], R5-R20 [RR: 1.73, 95%CI: 1.22-2.45, P = 0.002], X5 [RR: 2.11, 95%CI: 1.51-2.95, P < 0.001], AX [RR: 2.20, 95%CI: 1.53-3.16, P < 0.001], and Fres [RR: 2.13, 95%CI: 1.44-3.15, P < 0.001] had a higher risk of AECOPD in the previous year than patients with normal IOS parameters. CONCLUSIONS Airway impairment assessed by IOS may be a subtype of COPD. Future studies are warranted to identify the underlying mechanisms and longitudinal progression of airway impairment.
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Affiliation(s)
- Lifei Lu
- grid.470124.4State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Road, Guangzhou, China
| | - Jieqi Peng
- grid.470124.4State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Road, Guangzhou, China ,Guangzhou Laboratory, Guangzhou, China
| | - Fan Wu
- grid.470124.4State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Road, Guangzhou, China ,Guangzhou Laboratory, Guangzhou, China
| | - Huajing Yang
- grid.470124.4State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Road, Guangzhou, China
| | - Youlan Zheng
- grid.470124.4State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Road, Guangzhou, China
| | - Zhishan Deng
- grid.470124.4State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Road, Guangzhou, China
| | - Ningning Zhao
- grid.470124.4State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Road, Guangzhou, China
| | - Cuiqiong Dai
- grid.470124.4State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Road, Guangzhou, China
| | - Shan Xiao
- grid.470124.4State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Road, Guangzhou, China
| | - Xiang Wen
- grid.470124.4State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Road, Guangzhou, China
| | - Jianwu Xu
- grid.470124.4State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Road, Guangzhou, China
| | - Xiaohui Wu
- grid.470124.4State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Road, Guangzhou, China
| | - Kunning Zhou
- grid.470124.4State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Road, Guangzhou, China
| | - Pixin Ran
- grid.470124.4State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Road, Guangzhou, China ,Guangzhou Laboratory, Guangzhou, China
| | - Yumin Zhou
- grid.470124.4State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Road, Guangzhou, China ,Guangzhou Laboratory, Guangzhou, China
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Cai L, Wang XM, Liu L, Zhao Y, Golden AR. Socioeconomic differentials of trends in the prevalence and economic burden of chronic obstructive pulmonary disease in rural southwest China. BMC Public Health 2023; 23:141. [PMID: 36670366 PMCID: PMC9854011 DOI: 10.1186/s12889-023-15096-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 01/18/2023] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Chronic obstructive pulmonary disease (COPD) is a leading cause of mortality and morbidity, and imposes a substantial financial burden on society. However, few studies have examined the role of individual socioeconomic status (SES) in temporal trends of COPD prevalence and economic cost. This study aimed to uncover the changing prevalence and economic burden of COPD across socioeconomic gradients in rural southwest China. METHODS Data were collected from two cross-sectional health interviews and examination surveys administered 10 years apart among individuals aged ≥ 35 years in rural China. A prevalence-based cost-of-illness method was used to estimate the cost of COPD. The individual socioeconomic position (SEP) index was constructed using principal component analysis. Post-bronchodilator spirometry tests were performed for each participant. RESULTS From 2011 to 2021, the prevalence of COPD increased from 8.7% to 12.8% (P < 0.01), while the economic cost of COPD increased 1.9-fold. Unit hospital costs and outpatient costs increased 1.57-fold and 1.47-fold, while unit medication costs fell by 10.6%. Increasing prevalence was also observed when the data were stratified by sex, age, ethnicity, level of education, level of income, and SEP (P < 0.05). Men, ethnic minorities, and those with a lower educational level, lower income, or lower SEP had a higher prevalence of COPD than their counterparts both in 2011 and 2021 (P < 0.05). Unit outpatient costs and medication costs increased with patients' SEP in both survey years (P < 0.05). CONCLUSIONS The prevalence and economic costs of COPD increased substantially across all socioeconomic gradients in rural southwest China in the decade from 2011 and 2021. Future COPD prevention and management interventions as well as efforts to improve access to affordable COPD medication and treatment should focus in particular on ethnic minority and low SEP populations.
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Affiliation(s)
- Le Cai
- School of Public Health, Kunming Medical University, 1168 Yu Hua Street Chun Rong Road, Cheng Gong New City, Kunming, 650500, China.
| | - Xu-Ming Wang
- grid.414902.a0000 0004 1771 3912The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Lan Liu
- grid.285847.40000 0000 9588 0960School of Public Health, Kunming Medical University, 1168 Yu Hua Street Chun Rong Road, Cheng Gong New City, Kunming, 650500 China
| | - Yi Zhao
- grid.414902.a0000 0004 1771 3912The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Allison Rabkin Golden
- grid.285847.40000 0000 9588 0960School of Public Health, Kunming Medical University, 1168 Yu Hua Street Chun Rong Road, Cheng Gong New City, Kunming, 650500 China
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Yan R, Duong M, Tse LA, Yin L, Rangarajan S, Yusuf S, Hou Y, Xu Z, Li J, Li W. Regional differences in the contribution of smoking, dietary and cooking behaviours to airflow obstruction in China: A population-based case-control study. Respirology 2023; 28:37-46. [PMID: 35999170 DOI: 10.1111/resp.14347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 08/08/2022] [Indexed: 02/03/2023]
Abstract
BACKGROUND AND OBJECTIVE The major contributing risk factors to airflow obstruction (AO) in China remain largely unknown. We examined the environmental and lifestyle risk factors of unrecognized AO in the baseline of a population-based cohort drawn from 115 urban and rural communities across 12 provinces in China. METHODS Amongst 46,285 adults recruited from 2005 to 2009, 3686 were identified with AO on spirometry (defined by the ratio of forced expiratory volume in the first second to forced vital capacity <0.7) and without known chronic lung disease. These cases were age- and sex-matched to 11,129 controls with normal spirometry and no chronic lung disease from the same community. Conditional multivariable adjusted OR and population attributable fraction (PAF) were calculated for each identified risk factor and their combined effect. RESULTS Compared to controls, smoking initiation age <20 years (OR 1.22 [95% CI 1.01-1.48]), smoking duration ≥40 years (OR 1.82 [1.50-2.22]), low vegetables (OR 1.86 [1.67-2.07]) and fruits (OR 1.14 [1.02-1.29]) intake, cooking with biomass fuels (OR 2.54 [2.32-2.78]) and poor kitchen ventilation (OR 1.37 [1.19-1.58]) were significantly associated with elevated risks of unrecognized AO. The combined effect of these lifestyle factors significantly elevated the odds by 25 fold (18.6-34.3). The addition of prior tuberculosis and low socioeconomic status further increased the odds to 40.1 (28.2-57.0) and the PAF to 66.7% (51.1-78.1). CONCLUSION Smoking, unhealthy diet, biomass cooking fuels and low socioeconomic status are strongly associated with AO. Addressing these risk factors could substantially reduce the burden of AO in China.
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Affiliation(s)
- Ruohua Yan
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,Center for Clinical Epidemiology and Evidence-based Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - MyLinh Duong
- Population Health Research Institute, Department of Medicine, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Lap Ah Tse
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Lu Yin
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Sumathy Rangarajan
- Population Health Research Institute, Department of Medicine, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Salim Yusuf
- Population Health Research Institute, Department of Medicine, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Yan Hou
- Balingqiao Community Health Service, Taiyuan, China
| | - Zhengting Xu
- Bayannaoer Center for Disease Control and Prevention, Bayannaoer, China
| | - Jinyuan Li
- Jiangxi Nanchang Ninth Hospital, Nanchang, China
| | - Wei Li
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Xie N, Zheng Z, Yang Q, Li M, Ye X. Nurses in China lack knowledge of inhaler devices: A cross-sectional study. Front Pharmacol 2023; 14:1152069. [PMID: 37089917 PMCID: PMC10119394 DOI: 10.3389/fphar.2023.1152069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 03/23/2023] [Indexed: 04/25/2023] Open
Abstract
Objective: To understand the level of knowledge about inhaler devices among medical staff. Methods: This study evaluated the knowledge of inhalation therapy and the use of inhaler devices among nurses in China. We administered a new self-designed online questionnaire to 1,831 nurses. The questionnaire comprised 11 questions, including the storage location of inhaler devices, steps involved in using inhaler devices, and common errors when using various devices. Results: Among the 1,831 participants, 816(44.57%), 122(6.66%), and 893(48.77%) nurses worked in community, secondary, and tertiary hospitals, respectively. Adequate knowledge of inhaler devices was demonstrated by 20.10%, 8.20%, and 13.10% of nurses working in community, secondary, and tertiary hospitals, respectively. Of the nurses working in community hospitals, 27.70% knew the key points for using inhalers compared to 15.57% in secondary hospitals and 23.18% in tertiary hospitals (p < 0.01). Only 9.50%-26.00% of participants chose correct answers to the 9 questions about the use of inhalers. The accuracy rate of the responses was generally low, and the highest accuracy rate was 26.00%. Conclusion: Knowledge of inhalation therapy was better among nurses working in community hospitals than among those working in high-level hospitals. This is because of the clearer division of work and higher workload in high-level hospitals. Overall, nurses' knowledge of inhalation therapy is low. Furthermore, knowledge about inhaler devices should be strengthened among nurses in Chinese hospitals. It is necessary to create training opportunities for nurses in China to increase their awareness and knowledge regarding the management of chronic respiratory diseases.
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Affiliation(s)
- Ning Xie
- Department of Pharmacy, Qingpu Branch of Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zheng Zheng
- Department of Nursing, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qilian Yang
- Department of Pharmacy, Minhang Hospital, Fudan University, Shanghai, China
| | - Man Li
- Department of Pharmacy, Qingpu Branch of Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiaofen Ye
- Department of Pharmacy, Zhongshan Hospital, Fudan University, Shanghai, China
- *Correspondence: Xiaofen Ye,
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Yang T, Cai B, Cao B, Kang J, Wen F, Chen Y, Jian W, Wang C. Treatment patterns in patients with stable COPD in China: analysis of a prospective, 52-week, nationwide, observational cohort study (REAL). Ther Adv Respir Dis 2023; 17:17534666231158283. [PMID: 37013442 PMCID: PMC10074631 DOI: 10.1177/17534666231158283] [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: 08/23/2022] [Accepted: 02/02/2023] [Indexed: 04/05/2023] Open
Abstract
BACKGROUND Underdiagnosis and undertreatment pose major barriers to optimal management of chronic obstructive pulmonary disease (COPD) in China. OBJECTIVE The REAL trial was performed to generate reliable information on real-world COPD management, outcomes and risk factors among Chinese patients. Here, we present study outcomes related to COPD management. DESIGN It is a 52-week, prospective, observational, multicentre study. METHODS Outpatients (aged ⩾40 years) enrolled from 50 secondary and tertiary hospitals across six geographic regions of China were followed up for 12 months, with two onsite visits and by telephone every 3 months following baseline. RESULTS Between June 2017 and January 2019, 5013 patients were enrolled and 4978 included in the analysis. Mean [standard deviation (SD)] age was 66.2 (8.9) years, the majority of patients were male (79.5%) and mean (SD) time since COPD diagnosis was 3.8 (6.2) years. The most common treatments at each study visit were inhaled corticosteroids/long-acting beta-agonists (ICSs/LABAs; 28.3-36.0%), long-acting muscarinic antagonists (LAMAs; 13.0-16.2%) and ICS/LABA + LAMA (17.5-18.7%), but up to 15.8% of patients at each visit received neither ICS nor long-acting bronchodilators. The use of ICS/LABA, LAMA and ICS/LABA + LAMA differed across regions and hospital tiers; up to fivefold, more patients received neither ICS nor long-acting bronchodilators in secondary (17.3-25.4%) versus tertiary hospitals (5.0-5.3%). Overall, rates of nonpharmacological management were low. Direct treatment costs increased with disease severity, but the proportion of direct treatment costs incurred due to maintenance treatment decreased with disease severity. CONCLUSION ICS/LABA, LAMA and ICS/LABA + LAMA were the most frequently prescribed maintenance treatments for patients with stable COPD in China, although their use differed between region and hospital tier. There is a clear need for improved COPD management across China, particularly in secondary hospitals. REGISTRATION The trial was registered on 20 March 2017 (ClinicalTrials.gov identifier: NCT03131362; https://clinicaltrials.gov/ct2/show/NCT03131362). PLAIN LANGUAGE SUMMARY Treatment patterns in patients with COPD in ChinaBackground: Chronic obstructive pulmonary disease (COPD) is a chronic inflammatory lung disease characterized by progressive and irreversible airflow limitation. In China, many patients with this disease do not receive a diagnosis or appropriate treatment.Objective: This study aimed to generate reliable information on the treatment patterns among patients with COPD in China to help inform future management strategies.Study design and methods: Patients (aged ⩾40 years) were enrolled from 50 hospitals across 6 regions of China and physicians collected data over the course of 1 year during routine outpatient visits.Results: The majority of patients were receiving long-acting inhaled treatments, which are recommended to prevent worsening of the disease. Up to 16% of patients in this study, however, did not receive any of these recommended treatments. The proportion of patients who received long-acting inhaled treatments differed across regions and hospital tiers; there were about five times more patients in secondary hospitals (about 25%) who did not receive these treatments compared with those in tertiary hospitals (about 5%). Guidelines recommend that pharmacological treatment should be complemented by nondrug treatment, but this was only received by a minority of patients in this study. Patients with higher disease severity incurred greater direct treatment costs compared with those with milder disease. Maintenance treatment costs made up a smaller proportion of overall direct costs for patients with higher disease severity (60-76%) compared with patients with milder disease (81-94%).Conclusion: Long-acting inhaled treatments were the most frequently prescribed maintenance treatments among patients with COPD in China, but their use differed between region and hospital tier. There is a clear need to improve disease management across China, especially in secondary hospitals.
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Affiliation(s)
- Ting Yang
- Department of Pulmonary and Critical Care
Medicine, National Clinical Research Centre for Respiratory Diseases,
China–Japan Friendship Hospital, Beijing, China
- Institute of Respiratory Medicine, Chinese
Academy of Medical Science, Beijing, China
| | - Baiqiang Cai
- Department of Respiratory and Critical Care
Medicine, Peking Union Medical College Hospital, Beijing, China
| | - Bin Cao
- Department of Pulmonary and Critical Care
Medicine, National Clinical Research Centre for Respiratory Diseases,
China–Japan Friendship Hospital, Beijing, China
- Institute of Respiratory Medicine, Chinese
Academy of Medical Science, Beijing, China
| | - Jian Kang
- Department of Respiratory and Critical Care
Medicine, The First Hospital of China Medical University, Shenyang,
China
| | - Fuqiang Wen
- Department of Respiratory and Critical Care
Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Yahong Chen
- Department of Respiratory and Critical Care
Medicine, Peking University Third Hospital, Beijing, China
| | - Wenhua Jian
- State Key Laboratory of Respiratory Disease,
National Clinical Research Centre for Respiratory Disease, Guangzhou
Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou
Medical University, Guangzhou, China
| | - Chen Wang
- Department of Pulmonary and Critical Care
Medicine, National Clinical Research Centre for Respiratory Diseases,
China–Japan Friendship Hospital, No. 2, East Yinghua Road, Chaoyang
District, Beijing 100029, China
- Institute of Respiratory Medicine, Chinese
Academy of Medical Science, Beijing, China
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Lin A, Mao C, Rao B, Zhao H, Wang Y, Yang G, Lei H, Xie C, Huang D, Deng Y, Zhang X, Wang X, Lu J. Development and validation of nomogram including high altitude as a risk factor for COPD: A cross-sectional study based on Gansu population. Front Public Health 2023; 11:1127566. [PMID: 36935687 PMCID: PMC10019355 DOI: 10.3389/fpubh.2023.1127566] [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: 12/19/2022] [Accepted: 02/13/2023] [Indexed: 03/06/2023] Open
Abstract
Background Chronic Obstructive Pulmonary Disease (COPD) is a common and harmful disease that requires an effective tool to early screen high-risk individuals. Gansu has unique environments and customs, leading to the different prevalence and etiology of COPD from other regions. The association between altitude and COPD once attracted epidemiologists' attention. However, the prevalence in Gansu and the role of altitude are still unclarified. Methods In Gansu, a multistage stratified cluster sampling procedure was utilized to select a representative sample aged 40 years or older. The questionnaire and spirometry examination were implemented to collect participants' information. The diagnosis and assessment of COPD were identified by the Global Initiative for Chronic Obstructive Lung Disease (GOLD) criterion, while post-bronchodilator FEV1/FVC < LLN was for sensitivity analysis. Furthermore, the effect of high altitude on COPD was evaluated by the logistic regression model after propensity score matching (PSM). Finally, the participants were randomly divided into training and validation sets. The training set was used to screen the relative factors and construct a nomogram which was further assessed by the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) in the two sets. Results There were 2,486 eligible participants in the final analysis, of which 1,584 lived in low altitudes and 902 lived in high altitudes. Based on the GOLD criterion, the crude and standardized prevalences in Gansu were 20.4% (18.7-22.0) and 19.7% (17.9-21.6). After PSM, the logistic regression model indicated that high altitude increased COPD risk [PSM OR: 1.516 (1.162-1.978)]. Altitude, age, sex, history of tuberculosis, coal as fuel, and smoking status were reserved for developing a nomogram that demonstrated excellent discrimination, calibration, and clinical benefit in the two sets. Conclusions COPD has become a serious public health problem in Gansu. High altitude is a risk factor for COPD. The nomogram has satisfactory efficiency in screening high-risk individuals.
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Affiliation(s)
- Ao Lin
- The State Key Lab of Respiratory Disease, The First Affiliated Hospital, Institute of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Chun Mao
- The State Key Lab of Respiratory Disease, The First Affiliated Hospital, Institute of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Boqi Rao
- The State Key Lab of Respiratory Disease, The First Affiliated Hospital, Institute of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Hongjun Zhao
- Department of Pulmonary and Critical Care Medicine, Quzhou People's Hospital, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou, China
| | - Yunchao Wang
- Institute of Basic Medicine, Institute of Public Health, Gansu University of Chinese Medicine, Lanzhou, China
| | - Guokang Yang
- Institute of Basic Medicine, Institute of Public Health, Gansu University of Chinese Medicine, Lanzhou, China
| | - Haisheng Lei
- Institute of Basic Medicine, Institute of Public Health, Gansu University of Chinese Medicine, Lanzhou, China
| | - Chenli Xie
- Department of Respiratory and Critical Care Medicine, Dongguan Binwan Central Hospital, Dongguan, China
| | - Dongsheng Huang
- Department of Respiratory and Critical Care Medicine, Shenzhen Longhua District Central Hospital, Shenzhen, China
| | - Yibin Deng
- Centre for Medical Laboratory Science, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Xuhui Zhang
- Department of Respiratory Medicine, The Affiliated Hospital of Gansu University of Chinese Medicine, Lanzhou, China
| | - Xinhua Wang
- Institute of Basic Medicine, Institute of Public Health, Gansu University of Chinese Medicine, Lanzhou, China
- Xinhua Wang
| | - Jiachun Lu
- The State Key Lab of Respiratory Disease, The First Affiliated Hospital, Institute of Public Health, Guangzhou Medical University, Guangzhou, China
- *Correspondence: Jiachun Lu
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Wu TT, Jiang YQ, Zhao BF, Si FL, Wu P, Wang HY, Sheng CF, Xu X, Li F, Zhang J. Real-World COPD Management Over 3 Years at the Community Health Service Center of Shanghai During the COVID-19 Pandemic in China. Int J Chron Obstruct Pulmon Dis 2023; 18:349-364. [PMID: 36960355 PMCID: PMC10029936 DOI: 10.2147/copd.s391908] [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: 10/01/2022] [Accepted: 03/06/2023] [Indexed: 03/19/2023] Open
Abstract
Objective To evaluate the real-world situation for the management of chronic obstructive pulmonary disease (COPD) and poorly controlled disease risk factors in the Chinese community. Methods This retrospective multicentre study analysed data from COPDMICand MICHC in Shanghai Songjiang District, Shanghai, China. The differences in COPD Assessment Test (CAT), the modified Medical Research Council (mMRC) dyspnea scale, and the number of emergency cases, emergency visits, inpatient cases, and hospitalisations from January 2018 to December 2020 were analysed. The impact of coronavirus disease 2019 (COVID-19) on COPD management was also assessed. Results For 2020 versus 2018, analysis of 468 COPD cases from COPDMIC matched with MICHC data showed significantly more patients with improved mMRC grades, significantly fewer emergency cases and emergency visits, and significantly fewer hospitalisation cases and hospitalisations. Differences in the number of emergency visits and hospitalisations per capita were statistically significant. Compared to GOLD 3-4, GOLD 1-2 patients showed significant improvements in CAT score, mMRC grade, the number of emergency visits and hospitalisations per capita. Treatment adherence from 2018 to 2020 was 25%, 29.1%, and 6.8%, and the proportion of medication regimens consistent with guidelines was 43.44%, 50.98%, and 71.87%, respectively. Higher treatment adherence resulted in significantly improved CAT scores and mMRC grades and fewer emergency department visits and hospitalisations per capita. Conclusion Combined with remote management tools, patients with COPD achieved continuous improvement in symptoms and exacerbations over 3 years. In the context of COVID-19 prevention/control measures, improvements were significant for patients with GOLD 1-2 COPD but limited with GOLD 3-4. Pharmacologic treatment significantly improved clinical symptoms and reduced emergency visits and hospitalisations. Severe airflow limitation and poor adherence to pharmacologic treatment were important risk factors for lack of disease remission.
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Affiliation(s)
- Ting-Ting Wu
- Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine (Preparatory Stage), Shanghai, People’s Republic of China
| | - Yi Qun Jiang
- General Practice/International Medical Care Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
| | - Bang-Feng Zhao
- Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine (Preparatory Stage), Shanghai, People’s Republic of China
| | - Feng-Li Si
- Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine (Preparatory Stage), Shanghai, People’s Republic of China
| | - Peng Wu
- Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine (Preparatory Stage), Shanghai, People’s Republic of China
| | - Huan-Ying Wang
- Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine (Preparatory Stage), Shanghai, People’s Republic of China
| | - Chun-Feng Sheng
- Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine (Preparatory Stage), Shanghai, People’s Republic of China
| | - Xun Xu
- Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine (Preparatory Stage), Shanghai, People’s Republic of China
| | - Fan Li
- Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine (Preparatory Stage), Shanghai, People’s Republic of China
- Correspondence: Fan Li; Jing Zhang, Email ;
| | - Jing Zhang
- Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Shanghai Medical College, Fudan University, Shanghai, People’s Republic of China
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Liu M, Yin D, Wang Y, Wang W, Fu T, Duan Y, Hu M, Huang K. Comparing the Performance of Two Screening Questionnaires for Chronic Obstructive Pulmonary Disease in the Chinese General Population. Int J Chron Obstruct Pulmon Dis 2023; 18:541-552. [PMID: 37065634 PMCID: PMC10103780 DOI: 10.2147/copd.s403603] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 03/27/2023] [Indexed: 04/18/2023] Open
Abstract
Purpose Screening questionnaires can help identify individuals at a high risk of COPD. This study aimed to compare the performance of the COPD population screener (COPD-PS) and COPD screening questionnaire (COPD-SQ) on the general population as a full cohort and stratified by urbanization. Methods We recruited subjects who underwent a health checkup at urban and rural community health centers in Beijing. All eligible subjects completed the COPD-PS and COPD-SQ, then spirometry. Spirometry-defined COPD was defined as a post-bronchodilator FEV1/FVC<70%. Symptomatic COPD was defined as a post-bronchodilator FEV1/FVC<70% and respiratory symptoms. Receiver operating characteristic (ROC) curve analysis compared the discriminatory power of the two questionnaires, and stratified by urbanization. Results We identified 129 spirometry-defined and 92 symptomatic COPD cases out of 1350 enrolled subjects. The optimal cut-off score for the COPD-PS was 4 for spirometry-defined and 5 for symptomatic COPD. The optimum cut-off score for the COPD-SQ was 15 for both spirometry-defined and symptomatic COPD. The COPD-PS and COPD-SQ had similar AUC values for spirometry-defined (0.672 vs 0.702) and symptomatic COPD (0.734 vs 0.779). The AUC of the COPD-SQ tended to be higher in rural areas than that of the COPD-PS for spirometry-defined COPD (0.700 vs 0.653, P = 0.093). Conclusion The COPD-PS and COPD-SQ had comparable discriminatory power for detecting COPD in the general population while the COPD-SQ performed better in rural areas. A pilot study for validating and comparing the diagnostic accuracy of different questionnaires is required when screening for COPD in a new environment.
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Affiliation(s)
- Meishan Liu
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Danfeng Yin
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Ying Wang
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Wenjun Wang
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Tingting Fu
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Yuting Duan
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Mengjia Hu
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Kewu Huang
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
- Correspondence: Kewu Huang, Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, No. 8, Gongti South Road, Chaoyang District, Beijing, 100020, People’s Republic of China, Tel +86-010-85231167, Email
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76
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Wang J, Du J, Gao Y, Shi Y, Su J, Liu Q, Liu Y, Wang P, Wang C, Shao B, Li G, Li G, Department of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing Municipality, China, Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing Municipality, China. Characteristics of Lung Function and Prevalence of Airflow Obstruction Among Individuals Aged 18-74 Years - Beijing, China, 2017-2018. China CDC Wkly 2022; 4:1148-1153. [PMID: 36751376 PMCID: PMC9897965 DOI: 10.46234/ccdcw2022.231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 12/21/2022] [Indexed: 12/24/2022] Open
Abstract
What is already known about this topic? Airflow obstruction is the hallmark of many chronic respiratory diseases and may indicate the potential for the development of other progressive diseases. There are currently no representative studies of lung function in Beijing. An up-to-date estimation of the characteristics of lung function and airflow obstruction is thus needed. What is added by this report? The estimated prevalence of airflow obstruction was 14.68% in Beijing, 2017-2018. The values of vital capacity, forced vital capacity, and forced expiratory volume in the first second were 3.09 L, 2.66 L, 2.22 L, respectively. What are the implications for public health practice? Effective public health strategy for lung in Beijing should target older people, current or former smokers, and individuals who live in urban environments, have a low education level, exhibit a high smoking index, and/or have an abnormal body mass index.
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Affiliation(s)
- Jiamin Wang
- School of Public Health, China Medical University, Shenyang City, Liaoning Province, China,Department of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing Municipality, China
| | - Jing Du
- Department of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing Municipality, China
| | - Yanlin Gao
- Department of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing Municipality, China
| | - Yunping Shi
- Department of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing Municipality, China
| | - Jianting Su
- Department of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing Municipality, China
| | - Qingping Liu
- Department of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing Municipality, China
| | - Yang Liu
- Department of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing Municipality, China
| | - Ping Wang
- Department of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing Municipality, China
| | - Chao Wang
- Department of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing Municipality, China
| | - Bing Shao
- Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing Municipality, China
| | - Gang Li
- School of Public Health, China Medical University, Shenyang City, Liaoning Province, China,Department of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing Municipality, China,Gang Li,
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Zhai M, Jiang Q, Liu S, Long J, Zhang D, Ren C, Gong Y, Li Y. DALY trend and predictive analysis of COPD in China and its provinces: Findings from the global burden of disease study. Front Public Health 2022; 10:1046773. [PMID: 36620296 PMCID: PMC9816410 DOI: 10.3389/fpubh.2022.1046773] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022] Open
Abstract
Background Chronic obstructive pulmonary disease (COPD) is the most common chronic respiratory disease in the world, especially in China. Few studies have explored the trend of COPD in China and its provinces. This study aimed to demonstrate and predict the trend of COPD DALY in China and its provinces based on the global burden of disease (GBD) data. Methods The data on COPD disability-adjusted life year (DALY) were collected from GBD 2017, GBD 2019, and the National Bureau of Statistics of China. The age-standardized rate (ASR) was used to evaluate the trend of COPD DALY by gender, age, and risk factors in China and its provinces. In addition, the trend of COPD considering the aging population in the next 10 years was also predicted. Results In China, the COPD DALY was 20.4 million in 2017, which decreased to 24.16% from 1990 to 2017. Most provinces showed a downward trend, with the exception of Taiwan which increased by 127.78%. The ASR of DALY was 1445.53 per 100,000 people in 2017 and demonstrated a significant decrease. Among all provinces, only Taiwan (97.78%) and Hubei (2.21%) demonstrated an increased trend of ASR. In addition, Tibet ranked third with a decline of 56.95%, although its ASR was the highest in 1990. Smoking and air pollution were the main risk factors for COPD and varied with regions, gender, and age. The proportion of COPD DALY attributable to smoking was higher in the middle-aged and elderly male population and did not decrease in China. Moreover, the ASR attributable to air pollution of the elderly decreased significantly in China. Socio-demographic index (SDI) and educational level were also found to be related to ASR. By predicting the ASR trend in the next 10 years, we found that the ASR attributable to smoking might increase significantly among men. The ASR attributable to air pollution showed a significant decrease in women. Unfortunately, ASR attributable to second-hand smoke was found to increase in women. Conclusion Chronic obstructive pulmonary disease is the leading contributor to the burden of global diseases. Although China and its provinces demonstrated a downward trend of COPD DALY, some provinces still faced challenges. Moreover, ASR attributable to risk factors was different in regions, gender, age, and years. The predicted trend of COPD was also different. Therefore, more targeted strategies should be formulated to reduce the burden of COPD in China and its provinces.
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Affiliation(s)
- Mimi Zhai
- Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China,Xiangya Nursing School, Central South University, Changsha, Hunan, China
| | - Qin Jiang
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Sushun Liu
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jianhai Long
- Department of Respiratory, Beijing Tiantan Hospital, Capital Medicine University, Beijing, China
| | - Dan Zhang
- Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Chutong Ren
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yi Gong
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China,*Correspondence: Yi Gong ✉ ; ✉
| | - Yamin Li
- Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China,Xiangya Nursing School, Central South University, Changsha, Hunan, China,Yamin Li ✉
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Zheng J, Liu S, Peng J, Peng H, Wang Z, Deng Z, Li C, Li N, Tang L, Xu J, Li J, Li B, Zhou Y, Ran P. Traffic-related air pollution is a risk factor in the development of chronic obstructive pulmonary disease. Front Public Health 2022; 10:1036192. [PMID: 36568772 PMCID: PMC9769455 DOI: 10.3389/fpubh.2022.1036192] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 11/17/2022] [Indexed: 12/12/2022] Open
Abstract
Background Outdoor traffic-related air pollution has negative effects on respiratory health. In this study, we aimed to explore the effect of outdoor traffic-related air pollution on chronic obstructive pulmonary disease (COPD) in Guangzhou. Methods We enrolled 1,460 residents aged 40 years or older between 21 January 2014 and 31 January 2018. We administered questionnaires and spirometry tests. The distance of participants' residences or locations of outdoor activities from busy roads (as indicators of outdoor traffic-related air pollution), indoor air pollution, and smoking history were queried in the questionnaires. Results Of the 1,460 residents with valid survey and test results, 292 were diagnosed with COPD, with a detection rate of 20%. Participants who lived and did their outdoor activities near busy roads had a higher detection rate of COPD. Among residents living at distances of <50 meters, 50-199 meters, and more than 200 meters from busy roads, the detection rates were 20.6, 21.2, and 14.8%, respectively; the rates for outdoor activities at these distances were 23.8, 24.5, and 13.7%, respectively (p < 0.05). After adjusting for sex, age, smoking status, family history, and smoking index, the distance of outdoor activities from busy roads was an independent risk factor for COPD. Participants whose outdoor activities were conducted <50 meters and 50-199 meters of main roads had odds ratios of 1.54 (95% confidence interval 1.01-2.36) and 1.84 (95% interval 1.23-2.76) for the risk of COPD in comparison with a distance of more than 200 meters from busy roads. Conclusions Residents of Guangzhou whose outdoor activities were close to busy roads had a high risk of COPD. Traffic-related air pollution presents a risk to human health and a risk of COPD.
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Affiliation(s)
- Jinzhen Zheng
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China,Department of Pulmonary and Critical Care Medicine, Shantou Central Hospital, Shantou, Guangdong, China
| | - Sha Liu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China,The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China
| | - Jieqi Peng
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China,Guangzhou Laboratory, Bio Island, Guangzhou, Guangdong, China
| | - Huanhuan Peng
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China,Department of Pulmonary and Critical Care Medicine, The Fourth People's Hospital of Chenzhou, Chenzhou, Hunan, China
| | - Zihui Wang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China
| | - Zhishan Deng
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China
| | - Chenglong Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China
| | - Naijian Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China
| | - Longhui Tang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China,Department of Pulmonary and Critical Care Medicine, Chenzhou Third People's Hospital, Chenzhou, Hunan, China
| | - Jianwu Xu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China
| | - Jingwen Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China
| | - Bing Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China,College of Life Sciences, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Yumin Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China,Guangzhou Laboratory, Bio Island, Guangzhou, Guangdong, China,Yumin Zhou
| | - Pixin Ran
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China,Guangzhou Laboratory, Bio Island, Guangzhou, Guangdong, China,*Correspondence: Pixin Ran
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Chen X, Giles J, Yao Y, Yip W, Meng Q, Berkman L, Chen H, Chen X, Feng J, Feng Z, Glinskaya E, Gong J, Hu P, Kan H, Lei X, Liu X, Steptoe A, Wang G, Wang H, Wang H, Wang X, Wang Y, Yang L, Zhang L, Zhang Q, Wu J, Wu Z, Strauss J, Smith J, Zhao Y. The path to healthy ageing in China: a Peking University-Lancet Commission. Lancet 2022; 400:1967-2006. [PMID: 36423650 PMCID: PMC9801271 DOI: 10.1016/s0140-6736(22)01546-x] [Citation(s) in RCA: 327] [Impact Index Per Article: 109.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 08/07/2022] [Accepted: 08/12/2022] [Indexed: 11/22/2022]
Abstract
Around the world, populations are ageing at a faster pace than in the past and this demographic transition will have impacts on all aspects of societies. In May 2020, the UN General Assembly declared 2021–2030 the Decade of Healthy Ageing, highlighting the importance for policymakers across the world to focus policy on improving the lives of older people, both today and in the future. While rapid population ageing poses challenges, China’s rapid economic growth over the last forty years has created space for policy to assist older persons and families in their efforts to improve health and well-being at older ages. As China is home to 1/5 of the world’s older people, China is often held up as an example for other middle-income countries. This Commission Report aims to help readers to understand the process of healthy ageing in China as a means of drawing lessons from the China experience. In addition, with the purpose of informing the ongoing policy dialogue within China, the Commission Report highlights the policy challenges on the horizon and draws lessons from international experience.
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Affiliation(s)
- Xinxin Chen
- Institute of Social Science Survey, Peking University, Beijing, China
| | | | - Yao Yao
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Winnie Yip
- Department of Global Health and Population, Harvard University, Boston, MA, USA
| | - Qinqin Meng
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Lisa Berkman
- Harvard Center for Population and Development Studies, Harvard University, Boston, MA, USA; Division of Geriatric Medicine, UCLA, Los Angeles, CA, USA
| | - He Chen
- School of Public Administration and Policy, Renmin University of China, Beijing, China
| | - Xi Chen
- Department of Health Policy and Management, Department of Economics, Yale School of Public Health, New Haven, CT, USA
| | - Jin Feng
- School of Economics, Fudan University, Shanghai, China
| | | | | | - Jinquan Gong
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Perry Hu
- Division of Geriatric Medicine, UCLA, Los Angeles, CA, USA
| | - Haidong Kan
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai, China
| | - Xiaoyan Lei
- National School of Development, Peking University, Beijing, China
| | - Xiao Liu
- School of Labor Economics, Capital University of Economics and Business, Beijing, China
| | - Andrew Steptoe
- Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Gewei Wang
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Harold Wang
- Program in Bioinformatics, UCLA, Los Angeles, CA, USA
| | - Huali Wang
- Dementia Care & Research Center, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China
| | - Xiaoyu Wang
- Institute of Population and Labor Economics, Chinese Academy of Social Sciences, Beijing, China
| | - Yafeng Wang
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Li Yang
- Department of Health Policy and Management, Peking University, Beijing, China
| | - Luxia Zhang
- Renal Division, Department of Medicine, Peking University First Hospital and National Institute of Health Data Science, Peking University, Beijing, China
| | - Quan Zhang
- National School of Development, Peking University, Beijing, China
| | - Jing Wu
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China
| | - Zunyou Wu
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - John Strauss
- Department of Economics, University of Southern California, Los Angeles, CA, USA
| | | | - Yaohui Zhao
- National School of Development, Peking University, Beijing, China.
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Cirovic A, Denic A, Clarke BL, Vassallo R, Cirovic A, Landry GM. A hypoxia-driven occurrence of chronic kidney disease and osteoporosis in COPD individuals: New insights into environmental cadmium exposure. Toxicology 2022; 482:153355. [DOI: 10.1016/j.tox.2022.153355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 10/14/2022] [Accepted: 10/15/2022] [Indexed: 11/07/2022]
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Significance of Cardiometabolic Index in Predicting Acute Exacerbation of Stable Chronic Obstructive Pulmonary Disease for Clinical Nursing. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2022; 2022:7539520. [PMID: 36387370 PMCID: PMC9663234 DOI: 10.1155/2022/7539520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 07/30/2022] [Accepted: 08/10/2022] [Indexed: 11/09/2022]
Abstract
Objective To evaluate the level of cardiometabolic index (CMI) to predict the risk of acute exacerbation in patients with stable chronic obstructive pulmonary disease (COPD), and to provide a basis for early identification and intervention of high-risk patients in clinical nursing work. Methods Patients with stable chronic obstructive pulmonary disease who were admitted to the outpatient department of respiratory medicine in a tertiary hospital or followed up after discharge from January to December 2021 were retrospectively selected. CMI was measured and statistical analysis was performed to determine the optimal threshold for predicting acute exacerbation of chronic obstructive pulmonary disease. Results A total of 63 patients with chronic obstructive pulmonary disease were enrolled. The median number of episodes in the previous year was 1.00; 44 patients had ≥1 acute exacerbation. The CMI was positively correlated with the frequency of acute exacerbations and the British Medical Research Council (mMRC) score in the previous year, and negatively correlated with the percentage of forced expiratory volume in 1 second to the predicted value (FEV1% PRED). The cut-off point of CMI for predicting acute exacerbations in stable chronic obstructive pulmonary disease patients was 2.05, with a sensitivity of 0.864% and specificity of 0.842%. It is a risk factor for acute exacerbation in COPD patients. Conclusion CMI can be used as a biological index to predict acute exacerbation in stable COPD patients. Clinical nursing needs to evaluate patients' CMI and provide personalized nursing intervention for patients with CMI≥2.05.
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Yuan L, Guo T, Hu C, Yang W, Tang X, Cheng H, Xiang Y, Qu X, Liu H, Qin X, Qin L, Liu C. Clinical characteristics and gene mutation profiles of chronic obstructive pulmonary disease in non-small cell lung cancer. Front Oncol 2022; 12:946881. [PMID: 36267961 PMCID: PMC9576924 DOI: 10.3389/fonc.2022.946881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 06/27/2022] [Indexed: 12/03/2022] Open
Abstract
Purpose The coexistence of chronic obstructive pulmonary disease (COPD) often leads to a worse prognosis in patients with non-small cell lung cancer (NSCLC). Meanwhile, approaches targeting specific genetic alterations have been shown to significantly improve the diagnosis and treatment outcomes of patients with NSCLC. Herein, we sought to evaluate the impact of COPD on the clinical manifestations and gene mutation profiles of NSCLC patients with both circulating tumor (ctDNA) and tumor DNA (tDNA). Materials and methods The influence of COPD on clinical features was observed in 285 NSCLC cohorts suffering from NSCLC alone, NSCLC coexisting with COPD, or NSCLC coexisting with prodromal changes in COPD (with emphysema, bullae, or chronic bronchitis). The gene mutation profiles of specific 168 NSCLC-related genes were further analyzed in the NSCLC sub-cohorts with formalin-fixed and paraffin-embedded tumor DNA (FFPE tDNA) samples and plasma circulating tumor DNA (PLA ctDNA) samples. Moreover, mutation concordance was assessed in tDNA and paired ctDNA of 110 NSCLC patients. Results Relative to patients with NSCLC alone, patients with NSCLC coexisting with COPD and prodromal changes presented with worse lung functions, more clinical symptoms, signs and comorbidities, and inconsistent gene mutation profiles. In addition, patients in the latter two groups exhibited a higher average frequency of gene mutation. Lastly, mutation concordance between tDNA and ctDNA samples was significantly reduced in NSCLC patients coexisting with COPD. Conclusions Collectively, our findings revealed that coexistence of COPD leads to worse clinical manifestations and altered gene mutation profiles in patients with NSCLC. Additionally, for NSCLC patients with COPD, the use of ctDNA instead of tDNA may not be the most efficient approach to identifying gene mutations.
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Affiliation(s)
- Lin Yuan
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
- Department of Physiology, School of Basic Medicine Science, Central South University, Changsha, China
- Basic and Clinical Research Laboratory of Major Respiratory Diseases, Central South University, Changsha, China
| | - Ting Guo
- Department of Respiratory Medicine, The First Hospital of Changsha, Changsha, China
| | - Chengping Hu
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
| | - Wei Yang
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
| | - Xiaoli Tang
- Pulmonary and Critical Care Medicine, Huaihua Tumor Hospital, Huaihua, China
| | - Hao Cheng
- Department of Radiotherapy, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China
- Department of Nasopharyngeal Carcinoma, The First People’s Hospital of Chenzhou, Chenzhou, China
| | - Yang Xiang
- Department of Physiology, School of Basic Medicine Science, Central South University, Changsha, China
| | - Xiangping Qu
- Department of Physiology, School of Basic Medicine Science, Central South University, Changsha, China
| | - Huijun Liu
- Department of Physiology, School of Basic Medicine Science, Central South University, Changsha, China
| | - Xiaoqun Qin
- Department of Physiology, School of Basic Medicine Science, Central South University, Changsha, China
| | - Ling Qin
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
- *Correspondence: Ling Qin, ; Chi Liu,
| | - Chi Liu
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
- Department of Physiology, School of Basic Medicine Science, Central South University, Changsha, China
- Basic and Clinical Research Laboratory of Major Respiratory Diseases, Central South University, Changsha, China
- *Correspondence: Ling Qin, ; Chi Liu,
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83
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Hu M, Ding P, Ma J, Yang N, Zheng J, Zhou N. Cost-Effectiveness Analysis of the TCM "Yupingfeng Granules" in the Treatment of Acute Exacerbations of COPD Based on a Randomized Clinical Trial. Int J Chron Obstruct Pulmon Dis 2022; 17:2369-2379. [PMID: 36176739 PMCID: PMC9514780 DOI: 10.2147/copd.s374782] [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: 05/31/2022] [Accepted: 09/10/2022] [Indexed: 12/04/2022] Open
Abstract
Introduction Traditional Chinese medicine (TCM) is becoming increasingly important as it provides further options for treating many diseases worldwide. The TCM "Yupingfeng" has been used in China for over 800 years, and its clinical efficacy and safety for COPD treatment have been proven in previous studies. The objective of this study was to compare the long-term cost-effectiveness of Yupingfeng granules and the current conventional treatment for COPD patients in China. Methods A Markov model was constructed from the perspective of the Chinese healthcare system using TreeAge Pro 2011. The model cycle length was 12 months, and the cycle time was set to 10 years. Data from a randomized controlled trial were used to generate the number of acute exacerbations, COPD assessment test (CAT) score and actual medication used. The state transition probabilities, costs and quality-adjusted life years (QALYs) were derived from available sources. A threshold of 72,447 yuan per QALY gained was used as a cost-effectiveness criterion. One-way and probabilistic sensitivity analyses were conducted to verify the model. In addition, the cost-effectiveness of a 35-year cycle was evaluated as a scenario analysis. Results In the basic-case analysis, the ICER of adding Yupingfeng granules to the current conventional treatment drugs was ¥2123.04 per QALY, which was less than the threshold (one-time per capita GDP).Sensitivity analyses showed the results to be robust. Probabilistic sensitivity analysis showed that the probability of the ICER being less than the one-time per capita GDP threshold was 100%. In the scenario analysis, the incremental cost-effectiveness was ¥12,051.27 per QALY which was also under the one-time per capita GDP. Conclusion By reducing the number of acute exacerbations of COPD, thereby correspondingly reducing the follow-up treatment cost, Yupingfeng granules combined with conventional treatment were found to provide a cost-effective therapeutic strategy for COPD.
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Affiliation(s)
- Ming Hu
- West China School of Pharmacy Sichuan University, Chengdu, People’s Republic of China
| | - Pan Ding
- West China School of Pharmacy Sichuan University, Chengdu, People’s Republic of China
| | - Jinfang Ma
- 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, People’s Republic of China
| | - Nan Yang
- West China School of Pharmacy Sichuan University, Chengdu, People’s Republic of China
| | - Jinping Zheng
- 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, People’s Republic of China
| | - Naitong Zhou
- West China School of Pharmacy Sichuan University, Chengdu, People’s Republic of China
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84
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Wang R, Zhang W, Li Y, Jiang Y, Feng H, Du Y, Jiao Z, Lan L, Liu X, Li B, Liu C, Gu X, Chu F, Shen Y, Zhu C, Shao X, Tong S, Sun D. Evaluation of Risk Factors for Chronic Obstructive Pulmonary Disease in the Middle-Aged and Elderly Rural Population of Northeast China Using Logistic Regression and Principal Component Analysis. Risk Manag Healthc Policy 2022; 15:1717-1726. [PMID: 36119760 PMCID: PMC9477483 DOI: 10.2147/rmhp.s376546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Accepted: 09/06/2022] [Indexed: 11/23/2022] Open
Abstract
Purpose To investigate the environmental, immune, and inflammatory factors associated with chronic obstructive pulmonary disease (COPD) in middle-aged and older Chinese individuals. Patients and Methods A community-based case–control study was conducted among 471 patients with COPD and 485 controls. The information on COPD of the participants was collected through face-to-face interviews, and serum samples were measured at the laboratory. The main risk factors for COPD were analyzed using principal component analysis (PCA) and logistic regression. Results Nine hundred and fifty-six respondents were included in the analysis. The results of the PCA-logistic regression analysis showed significant differences in the environmental factors, medical history, and serum C-reactive protein (CRP) levels between patients and controls. COPD was markedly more usual in those with smoking index >200 (OR, 1.42; 95% CI, 1.28–1.57); exposure to outdoor straw burning (OR, 1.64; 95% CI, 1.47–1.83); use of coal, wood, and straw indoors (OR, 2.31; 95% CI, 1.92–2.78); history of respiratory disease and coronary heart disease (OR, 3.58; 95% CI, 3.12–4.10), congestive heart failure (OR, 1.23; 95% CI, 1.09–1.38), and cerebrovascular disease (OR, 1.15; 95% CI,1.02–1.31); and higher serum level of CRP (OR, 1.20; 95% CI, 1.11–1.30). Compared to the logistic regression analysis, PCA logistic regression analysis identified more important risk factors for COPD. Conclusion PCA-logistic regression analysis was first utilized to explore the influencing factors among rural residents in Northeast China Environmental aged 40 years and above, it was found that environmental factors, medical history, and serum CRP levels mainly affected the prevalence of COPD.
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Affiliation(s)
- Rui Wang
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, 150081, People's Republic of China.,National Health Commission & Education Bureau of Heilongjiang Province, Key Laboratory of Etiology and Epidemiology, Harbin Medical University (23618504), Harbin, 150081, People's Republic of China.,Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Harbin Medical University, Harbin, 150081, People's Republic of China.,Harbin Center for Disease Control and Prevention, Harbin, 150056, People's Republic of China
| | - Wei Zhang
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, 150081, People's Republic of China.,National Health Commission & Education Bureau of Heilongjiang Province, Key Laboratory of Etiology and Epidemiology, Harbin Medical University (23618504), Harbin, 150081, People's Republic of China.,Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Yuanyuan Li
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, 150081, People's Republic of China.,National Health Commission & Education Bureau of Heilongjiang Province, Key Laboratory of Etiology and Epidemiology, Harbin Medical University (23618504), Harbin, 150081, People's Republic of China.,Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Yuting Jiang
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, 150081, People's Republic of China.,National Health Commission & Education Bureau of Heilongjiang Province, Key Laboratory of Etiology and Epidemiology, Harbin Medical University (23618504), Harbin, 150081, People's Republic of China.,Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Hongqi Feng
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, 150081, People's Republic of China.,National Health Commission & Education Bureau of Heilongjiang Province, Key Laboratory of Etiology and Epidemiology, Harbin Medical University (23618504), Harbin, 150081, People's Republic of China.,Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Yang Du
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, 150081, People's Republic of China.,National Health Commission & Education Bureau of Heilongjiang Province, Key Laboratory of Etiology and Epidemiology, Harbin Medical University (23618504), Harbin, 150081, People's Republic of China.,Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Zhe Jiao
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, 150081, People's Republic of China.,National Health Commission & Education Bureau of Heilongjiang Province, Key Laboratory of Etiology and Epidemiology, Harbin Medical University (23618504), Harbin, 150081, People's Republic of China.,Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Li Lan
- Harbin Center for Disease Control and Prevention, Harbin, 150056, People's Republic of China
| | - Xiaona Liu
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, 150081, People's Republic of China.,National Health Commission & Education Bureau of Heilongjiang Province, Key Laboratory of Etiology and Epidemiology, Harbin Medical University (23618504), Harbin, 150081, People's Republic of China.,Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Bingyun Li
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, 150081, People's Republic of China.,National Health Commission & Education Bureau of Heilongjiang Province, Key Laboratory of Etiology and Epidemiology, Harbin Medical University (23618504), Harbin, 150081, People's Republic of China.,Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Chang Liu
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, 150081, People's Republic of China.,National Health Commission & Education Bureau of Heilongjiang Province, Key Laboratory of Etiology and Epidemiology, Harbin Medical University (23618504), Harbin, 150081, People's Republic of China.,Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Xingbo Gu
- Department of Biostatistics, School of Public Health, Hainan Medical University, Haikou, 571199, People's Republic of China
| | - Fang Chu
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, 150081, People's Republic of China.,National Health Commission & Education Bureau of Heilongjiang Province, Key Laboratory of Etiology and Epidemiology, Harbin Medical University (23618504), Harbin, 150081, People's Republic of China.,Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Yuncheng Shen
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, 150081, People's Republic of China.,National Health Commission & Education Bureau of Heilongjiang Province, Key Laboratory of Etiology and Epidemiology, Harbin Medical University (23618504), Harbin, 150081, People's Republic of China.,Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Chenpeng Zhu
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, 150081, People's Republic of China.,National Health Commission & Education Bureau of Heilongjiang Province, Key Laboratory of Etiology and Epidemiology, Harbin Medical University (23618504), Harbin, 150081, People's Republic of China.,Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Xinhua Shao
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, 150081, People's Republic of China.,National Health Commission & Education Bureau of Heilongjiang Province, Key Laboratory of Etiology and Epidemiology, Harbin Medical University (23618504), Harbin, 150081, People's Republic of China.,Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Simeng Tong
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, 150081, People's Republic of China.,National Health Commission & Education Bureau of Heilongjiang Province, Key Laboratory of Etiology and Epidemiology, Harbin Medical University (23618504), Harbin, 150081, People's Republic of China.,Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Dianjun Sun
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, 150081, People's Republic of China.,National Health Commission & Education Bureau of Heilongjiang Province, Key Laboratory of Etiology and Epidemiology, Harbin Medical University (23618504), Harbin, 150081, People's Republic of China.,Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Harbin Medical University, Harbin, 150081, People's Republic of China
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Dai C, Wu F, Wang Z, Peng J, Yang H, Zheng Y, Lu L, Zhao N, Deng Z, Xiao S, Wen X, Xu J, Huang P, Zhou K, Wu X, Zhou Y, Ran P. The association between small airway dysfunction and aging: a cross-sectional analysis from the ECOPD cohort. Respir Res 2022; 23:229. [PMID: 36058907 PMCID: PMC9441095 DOI: 10.1186/s12931-022-02148-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 08/16/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Aging has been evidenced to bring about some structural and functional lung changes, especially in COPD. However, whether aging affects SAD, a possible precursor of COPD, has not been well characterized. OBJECTIVE We aimed to comprehensively assess the relationship between aging and SAD from computed tomography, impulse oscillometry, and spirometry perspectives in Chinese. METHODS We included 1859 participants from ECOPD, and used a linear-by-linear association test for evaluating the prevalence of SAD across various age subgroups, and multivariate regression models for determining the impact of age on the risk and severity of SAD. We then repeated the analyses in these subjects stratified by airflow limitation. RESULTS The prevalence of SAD increases over aging regardless of definitional methods. After adjustment for other confounding factors, per 10-yrs increase in age was significantly associated with the risk of CT-defined SAD (OR 2.57, 95% CI 2.13 to 3.10) and the increase in the severity of air trapping (β 2.09, 95% CI - 0.06 to 4.25 for LAA-856), airway reactance (β - 0.02, 95% CI - 0.04 to - 0.01 for X5; β 0.30, 95% CI 0.13 to 0.47 for AX; β 1.75, 95% CI 0.85 to 2.66 for Fres), as well as the decrease in expiratory flow rates (β - 3.95, 95% CI - 6.19 to - 1.71 for MMEF%predicted; β - 5.42, 95% CI - 7.88 to - 2.95 for FEF50%predicted) for SAD. All these associations were generally maintained in SAD defined by IOS or spirometry. After stratification of airflow limitation, we further found that the effect of age on LAA-856 was the most significant among almost all subgroups. CONCLUSIONS Aging is significantly associated with the prevalence, increased risk, as well as worse severity of SAD. CT may be a more optimal measure to assess aging-related SAD. The molecular mechanisms for the role of aging in SAD need to be explored in the future. Trial registration Chinese Clinical Trial Registry ChiCTR1900024643. Registered on 19 July 2019.
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Affiliation(s)
- Cuiqiong Dai
- 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 Medical University, No. 195 Dongfeng Xi Road, Guangzhou, 510000, Guangdong, China
| | - Fan Wu
- 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 Medical University, No. 195 Dongfeng Xi Road, Guangzhou, 510000, Guangdong, China.,Guangzhou Laboratory, Bio-Island, Guangzhou, Guangdong, People's Republic of China
| | - Zihui 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 Medical University, No. 195 Dongfeng Xi Road, Guangzhou, 510000, Guangdong, China
| | - Jieqi Peng
- 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 Medical University, No. 195 Dongfeng Xi Road, Guangzhou, 510000, Guangdong, China
| | - Huajing 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 Medical University, No. 195 Dongfeng Xi Road, Guangzhou, 510000, Guangdong, China
| | - Youlan Zheng
- 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 Medical University, No. 195 Dongfeng Xi Road, Guangzhou, 510000, Guangdong, China
| | - Lifei Lu
- 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 Medical University, No. 195 Dongfeng Xi Road, Guangzhou, 510000, Guangdong, China
| | - Ningning 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 Medical University, No. 195 Dongfeng Xi Road, Guangzhou, 510000, Guangdong, China
| | - Zhishan Deng
- 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 Medical University, No. 195 Dongfeng Xi Road, Guangzhou, 510000, Guangdong, China
| | - Shan Xiao
- 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 Medical University, No. 195 Dongfeng Xi Road, Guangzhou, 510000, Guangdong, China
| | - Xiang 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 Medical University, No. 195 Dongfeng Xi Road, Guangzhou, 510000, Guangdong, China
| | - Jianwu Xu
- 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 Medical University, No. 195 Dongfeng Xi Road, Guangzhou, 510000, Guangdong, China
| | - Peiyu Huang
- 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 Medical University, No. 195 Dongfeng Xi Road, Guangzhou, 510000, Guangdong, China
| | - Kunning Zhou
- 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 Medical University, No. 195 Dongfeng Xi Road, Guangzhou, 510000, Guangdong, China
| | - Xiaohui Wu
- 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 Medical University, No. 195 Dongfeng Xi Road, Guangzhou, 510000, Guangdong, China
| | - Yumin Zhou
- 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 Medical University, No. 195 Dongfeng Xi Road, Guangzhou, 510000, Guangdong, China. .,Guangzhou Laboratory, Bio-Island, Guangzhou, Guangdong, People's Republic of China.
| | - Pixin Ran
- 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 Medical University, No. 195 Dongfeng Xi Road, Guangzhou, 510000, Guangdong, China. .,Guangzhou Laboratory, Bio-Island, Guangzhou, Guangdong, People's Republic of China.
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86
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Wei D, Wang Q, Liu S, Tan X, Chen L, Tu R, Liu Q, Jia Y, Liu S. Influences of Two FEV1 Reference Equations (GLI-2012 and GIRH-2017) on Airflow Limitation Classification Among COPD Patients. Int J Chron Obstruct Pulmon Dis 2022; 17:2053-2065. [PMID: 36081764 PMCID: PMC9447406 DOI: 10.2147/copd.s373834] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 08/17/2022] [Indexed: 11/23/2022] Open
Abstract
Objective Methods Results Conclusion
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Affiliation(s)
- Dafei Wei
- Department of Pediatrics, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, People’s Republic of China
| | - Qi Wang
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, People’s Republic of China
| | - Shasha Liu
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, People’s Republic of China
| | - Xiaowu Tan
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, People’s Republic of China
| | - Lin Chen
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, People’s Republic of China
| | - Rongfang Tu
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, People’s Republic of China
| | - Qing Liu
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, People’s Republic of China
| | - Yuanhang Jia
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, People’s Republic of China
| | - Sha Liu
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, People’s Republic of China
- Correspondence: Sha Liu, Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, People’s Republic of China, Email
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87
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Park JE, Zhang L, Ho YF, Liu G, Alfonso-Cristancho R, Ismaila AS, Zafari Z. Modeling the Health and Economic Burden of Chronic Obstructive Pulmonary Disease in China From 2020 to 2039: A Simulation Study. Value Health Reg Issues 2022; 32:8-16. [PMID: 35961283 DOI: 10.1016/j.vhri.2022.06.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 04/27/2022] [Accepted: 06/09/2022] [Indexed: 10/15/2022]
Abstract
OBJECTIVES Despite a growing prevalence of respiratory diseases in recent decades in China, limited evidence is available on the health and economic burden of chronic obstructive pulmonary disease (COPD). We estimated the 20-year health and economic burden of COPD in China from 2020 to 2039. METHODS We created a probabilistic dynamic open-cohort Markov model of COPD for the Chinese population aged ≥40 years. Projections of population growth and urbanization rates were obtained from the United Nations Population Division. Other parameter inputs including smoking prevalence, COPD prevalence and severity distributions, disease-related costs, and utility weights were obtained from the most recent published literature. We modeled number of COPD patients, excess mortality due to COPD, exacerbations, COPD-attributable losses of quality-adjusted life-years, and direct and indirect COPD costs over the 20 years. RESULTS The number of COPD patients was projected to increase from 88.3 million in 2020 to 103.3 million in 2039. The projected total losses of quality-adjusted life-years and the excess mortality due to COPD were, respectively, estimated to be 253.6 million and 3.9 million over the 20 years. The projected 20-year total discounted direct and indirect costs of COPD were, respectively, $3.1 trillion and $360.5 billion. The projected health and economic burden was higher in males and urban areas. CONCLUSIONS COPD is projected to inflict a substantial burden to the society and the health care system in China. Effective strategies for prevention and early management of COPD are needed to mitigate the forthcoming disease burden.
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Affiliation(s)
- Jeong-Eun Park
- Department of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore, MD, USA
| | - Luying Zhang
- School of Public Health, Fudan University, Shanghai, China
| | - Yu-Fan Ho
- Health Outcomes, Greater China and InterContinental, GlaxoSmithKline, Singapore
| | - Ge Liu
- Value Evidence and Outcomes, GlaxoSmithKline, Shanghai, China
| | | | - Afisi S Ismaila
- Value Evidence and Outcomes, GlaxoSmithKline plc, Collegeville, PA, USA; Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
| | - Zafar Zafari
- Department of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore, MD, USA.
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88
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Li Z, Huang K, Liu L, Zhang Z. Early detection of COPD based on graph convolutional network and small and weakly labeled data. Med Biol Eng Comput 2022; 60:2321-2333. [PMID: 35750976 PMCID: PMC9244127 DOI: 10.1007/s11517-022-02589-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Accepted: 05/08/2022] [Indexed: 11/25/2022]
Abstract
Chronic obstructive pulmonary disease (COPD) is a common disease with high morbidity and mortality, where early detection benefits the population. However, the early diagnosis rate of COPD is low due to the absence or slight early symptoms. In this paper, a novel method based on graph convolution network (GCN) for early detection of COPD is proposed, which uses small and weakly labeled chest computed tomography image data from the publicly available Danish Lung Cancer Screening Trial database. The key idea is to construct a graph using regions of interest randomly selected from the segmented lung parenchyma and then input it into the GCN model for COPD detection. In this way, the model can not only extract the feature information of each region of interest but also the topological structure information between regions of interest, that is, graph structure information. The proposed GCN model achieves an acceptable performance with an accuracy of 0.77 and an area under a curve of 0.81, which is higher than the previous studies on the same dataset. GCN model also outperforms several state-of-the-art methods trained at the same time. As far as we know, it is also the first time using the GCN model on this dataset for COPD detection.
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Affiliation(s)
- Zongli Li
- Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, People's Republic of China
- Beijing Institute of Respiratory Medicine, Beijing, 100020, People's Republic of China
- Department of Respiratory, Shijingshan Teaching Hospital of Capital Medical University, Beijing Shijingshan Hospital, Beijing, 100043, People's Republic of China
| | - Kewu Huang
- Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, People's Republic of China.
- Beijing Institute of Respiratory Medicine, Beijing, 100020, People's Republic of China.
| | - Ligong Liu
- Department of Enterprise Management, China Energy Engineering Corporation Limited, Beijing, 100022, People's Republic of China
| | - Zuoqing Zhang
- Department of Respiratory, Shijingshan Teaching Hospital of Capital Medical University, Beijing Shijingshan Hospital, Beijing, 100043, People's Republic of China
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89
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Rethinking global health governance: toward a "global compact" for reducing the burden of respiratory diseases. Chin Med J (Engl) 2022; 135:1387-1389. [PMID: 35853625 PMCID: PMC9481429 DOI: 10.1097/cm9.0000000000002298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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90
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Hu W, Fang L, Zhang H, Ni R, Pan G. Global disease burden of COPD from 1990 to 2019 and prediction of future disease burden trend in China. Public Health 2022; 208:89-97. [PMID: 35728417 DOI: 10.1016/j.puhe.2022.04.015] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Revised: 04/15/2022] [Accepted: 04/29/2022] [Indexed: 11/18/2022]
Abstract
OBJECTIVES This study aimed to assess and predict the disease burden attributable to chronic obstructive pulmonary disease (COPD) in a timely, comprehensive, and reliable manner, thereby mitigating the health hazards of COPD. STUDY DESIGN AND METHODS Data on the disease burden owing to COPD from 1990 to 2019 were extracted from the Global Burden of Disease (GBD) Study 2019. Linear regression analysis was used to calculate the estimated annual percentage change (EAPC) in the age-standardized rates. Non-parametric tests were used for subgroup analysis. The Bayesian age-period-cohot (BAPC) model integrated nested Laplace approximations to predict the disease burden over the next 25 years. Sensitivity analysis was performed using the Norpred APC model. RESULTS Globally, the COPD-related age-standardized incidence rate decreased from 216.48/100,000 in 1990 to 200.49/100,000 in 2019, with an EAPC of -0.33. But the number of new cases increased from 8,722,966 in 1990 to 16, 214, 828 in 2019. Trends in prevalence, deaths, and disability-adjusted life years (DALYs) were the same as incidence. There were significant differences in disease burden between the genders and all age groups (P < 0.05) in China. The projections suggested that the COPD-related number of new cases and deaths in China would increase by approximately 1.5 times over the next 25 years. CONCLUSIONS The number of incidence, prevalence, deaths, and DALYs had all increased in China in the past and would continue to grow over the next 25 years. Therefore, measures should be taken to target risk factors and high-risk groups.
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Affiliation(s)
- W Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - L Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - H Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - R Ni
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - G Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
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91
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Quan D, Ren J, Ren H, Linghu L, Wang X, Li M, Qiao Y, Ren Z, Qiu L. Exploring influencing factors of chronic obstructive pulmonary disease based on elastic net and Bayesian network. Sci Rep 2022; 12:7563. [PMID: 35534641 PMCID: PMC9085890 DOI: 10.1038/s41598-022-11125-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Accepted: 04/08/2022] [Indexed: 01/15/2023] Open
Abstract
AbstractThis study aimed to construct Bayesian networks (BNs) to analyze the network relationships between COPD and its influencing factors, and the strength of each factor's influence on COPD was reflected through network reasoning. Elastic Net and Max-Min Hill-Climbing (MMHC) algorithm were adopted to screen the variables on the surveillance data of COPD among residents in Shanxi Province, China from 2014 to 2015, and construct BNs respectively. 10 variables finally entered the model after screening by Elastic Net. The BNs constructed by MMHC showed that smoking status, household air pollution, family history, cough, air hunger or dyspnea were directly related to COPD, and Gender was indirectly linked to COPD through smoking status. Moreover, smoking status, household air pollution and family history were the parent nodes of COPD, and cough, air hunger or dyspnea represented the child nodes of COPD. In other words, smoking status, household air pollution and family history were related to the occurrence of COPD, and COPD would make patients’ cough, air hunger or dyspnea worse. Generally speaking, BNs could reveal the complex network linkages between COPD and its relevant factors well, making it more convenient to carry out targeted prevention and control of COPD.
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92
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Feng J, Sun L, Sun X, Xu L, Liu L, Liu G, Wang J, Gao P, Zhan S, Chen Y, Wang S, Sun Y. Increasing prevalence and burden of bronchiectasis in urban Chinese adults, 2013-2017: a nationwide population-based cohort study. Respir Res 2022; 23:111. [PMID: 35509081 PMCID: PMC9066779 DOI: 10.1186/s12931-022-02023-8] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 04/13/2022] [Indexed: 12/30/2022] Open
Abstract
Background While the prevalence and disease burden of bronchiectasis are increasing, data in the world’s largest population are lacking. We aimed to investigate the prevalence and disease burden of bronchiectasis in Chinese adults. Methods We conducted a population-based study using data between 2013 and 2017 from the national databases of Urban Employee Basic Medical Insurance and Urban Resident Basic Medical Insurance in China. Data from over 380 million patients aged 18 years and older during the study period were analyzed, and a total of 383,926 bronchiectasis patients were identified. Primary outcomes included the age- and sex-specific prevalence of bronchiectasis. Annual visits and hospitalizations, as well as annual costs were also calculated. Results The prevalence of bronchiectasis in Chinese adults increased 2.31-fold, from 75.48 (62.26, 88.69) per 100,000 in 2013 to 174.45 (137.02, 211.88) per 100,000 in 2017. The increase was more remarkable for patients aged over 50 years in both genders. The per-capita total cost and hospitalization cost of patients with bronchiectasis increased 2.18-fold and 1.83-fold from 2013 to 2017, respectively, mostly driven by non-bronchiectasis costs. The average annual hospitalization ranged from 1.20 to 1.24 times during the 5 years. Conclusion The prevalence and disease burden of bronchiectasis in Chinese urban adults ≥ 18 years had increased significantly between 2013 and 2017. Supplementary Information The online version contains supplementary material available at 10.1186/s12931-022-02023-8.
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Affiliation(s)
- Jingnan Feng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Lina Sun
- Department of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, China
| | - Xiaoyan Sun
- Department of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, China
| | - Lu Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Lili Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Guozhen Liu
- Peking University Health Information Technology Co. Ltd, Beijing, China
| | - Jinxi Wang
- Shanghai Songsheng Business Consulting Co. Ltd, Beijing, China
| | - Pei Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Siyan Zhan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China. .,Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China.
| | - Yahong Chen
- Department of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, China.
| | - Shengfeng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
| | - Yongchang Sun
- Department of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, China.
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93
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Choi JY, Milne S, Yunus F, Rhee CK, Matsunaga K. Current chronic obstructive pulmonary disease treatment status in Asia: A position statement of the Asian Pacific Society of Respirology. Tuberc Respir Dis (Seoul) 2022; 85:279-282. [PMID: 35501669 PMCID: PMC9263343 DOI: 10.4046/trd.2022.0020] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 04/19/2022] [Indexed: 11/24/2022] Open
Affiliation(s)
- Joon Young Choi
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Incheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Stephen Milne
- University of British Columbia Centre for Heart Lung Innovation, St. Paul’s Hospital, Vancouver, BC, Canada
- Division of Respiratory Medicine, University of British Columbia, Vancouver, BC, Canada
- Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Faisal Yunus
- Department of Pulmonology and Respiratory Medicine, Faculty of Medicine, Universitas Indonesia-Persahabatan National Respiratory Center Hospital, Jakarta, Indonesia
| | - Chin Kook Rhee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Kazuto Matsunaga
- Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, Ube, Japan
- Address for correspondence Kazuto Matsunaga, M.D., Ph.D. Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-kogushi, Ube 755-8505, Japan Phone 81-836-85-3123 Fax 81-836-85-3124 E-mail
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Dai C, Wang Z, Deng Z, Wu F, Yang H, Xiao S, Wen X, Zheng Y, Xu J, Lu L, Zhao N, Huang P, Zhou Y, Ran P. Association Between Serum Total Bilirubin Level and Lung Function Decline in Patients with COPD: Results from a Pooled Study. Int J Chron Obstruct Pulmon Dis 2022; 17:1031-1039. [PMID: 35547779 PMCID: PMC9084194 DOI: 10.2147/copd.s360485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Accepted: 04/30/2022] [Indexed: 11/23/2022] Open
Abstract
Background Methods Results Conclusion
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Affiliation(s)
- Cuiqiong Dai
- 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 Medical University, Guangzhou, People’s Republic of China
| | - Zihui 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 Medical University, Guangzhou, People’s Republic of China
| | - Zhishan Deng
- 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 Medical University, Guangzhou, People’s Republic of China
| | - Fan Wu
- 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 Medical University, Guangzhou, People’s Republic of China
| | - Huajing 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 Medical University, Guangzhou, People’s Republic of China
| | - Shan Xiao
- 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 Medical University, Guangzhou, People’s Republic of China
| | - Xiang 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 Medical University, Guangzhou, People’s Republic of China
| | - Youlan Zheng
- 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 Medical University, Guangzhou, People’s Republic of China
| | - Jianwu Xu
- 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 Medical University, Guangzhou, People’s Republic of China
| | - Lifei Lu
- 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 Medical University, Guangzhou, People’s Republic of China
| | - Ningning 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 Medical University, Guangzhou, People’s Republic of China
| | - Peiyu Huang
- 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 Medical University, Guangzhou, People’s Republic of China
| | - Yumin Zhou
- 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 Medical University, Guangzhou, People’s Republic of China
| | - Pixin Ran
- 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 Medical University, Guangzhou, People’s Republic of China
- Correspondence: Pixin Ran; Yumin Zhou, The 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 Medical University, No. 195 Dongfeng Xi Road, Guangzhou, 510000, People’s Republic of China, Tel +86-020 83205187, Fax +86-020 81340482, Email ;
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95
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Yang T, Cai B, Cao B, Kang J, Wen F, Chen Y, Jian W, Shang H, Wang C. Severity distribution and treatment of chronic obstructive pulmonary disease in China: baseline results of an observational study. Respir Res 2022; 23:106. [PMID: 35488337 PMCID: PMC9052685 DOI: 10.1186/s12931-022-02021-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 07/21/2021] [Indexed: 02/08/2023] Open
Abstract
Background Chronic obstructive pulmonary disease (COPD) receives low awareness and is undertreated in China. Understanding the burden and treatment of COPD across the nation is important for improving quality of care for this disease. This study aims to reveal the current situation of COPD severity distribution and management across China. Methods Baseline data from REALizing and Improving Management of Stable COPD in China, a multicentre, prospective, longitudinal, observational study, were analysed. Patients diagnosed with COPD as per Global Initiative for Chronic Obstructive Lung Disease 2016 (GOLD 2016) criteria were enrolled from 50 randomly selected hospitals (tertiary, 25; secondary, 25) across six geographical regions. Data were collected in routine clinical settings. Results Between 15 December 2017 and 6 August 2020, 5013 patients were enrolled and 4978 included in the full analysis set. Of these, 2459 (49.4%) reported ≥ 1 exacerbation within 12 months prior to study enrolment, with a mean annual rate of 0.9/patient, including 0.2/patient and 0.5/patient leading to emergency room visits and hospitalisation, respectively. Spirometry graded 458 (10.1%), 1886 (41.7%), 1558 (34.5%), and 616 (13.6%) were GOLD stage I–IV, and 536 (11.4%), 1034 (22.0%), 563 (12.0%), and 2566 (54.6%) were classified as GOLD 2016 Group A–D, respectively, without evident regional variations. Inhaled corticosteroids plus long-acting beta2-agonist (ICS/LABA, 1316 [26.4%]), ICS/LABA plus long-acting muscarinic antagonist (ICS/LABA + LAMA, 871 [17.5%]), and LAMA (754 [15.1%]) were prescribed at high rates across all groups and regions. Medications not recommended by GOLD were commonly prescribed (TCM, 578 [11.6%]; others, 951 [19.1%]), and 681 (13.7%) were not given ICS or long-acting bronchodilators. Conclusions Disease burden among Chinese COPD outpatients is high. Improved guideline adherence for COPD treatment is needed. Trial registration ClinicalTrials.gov identifier, NCT03131362. Supplementary Information The online version contains supplementary material available at 10.1186/s12931-022-02021-w.
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Affiliation(s)
- Ting Yang
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, 100029, China.,National Clinical Research Center for Respiratory Diseases, Beijing, 100029, China
| | - Baiqiang Cai
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Beijing, China
| | - Bin Cao
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, 100029, China.,National Clinical Research Center for Respiratory Diseases, Beijing, 100029, China
| | - Jian Kang
- Department of Respiratory and Critical Care Medicine, The First Hospital of China Medical University, Shenyang, China
| | - Fuqiang Wen
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Yahong Chen
- Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing, China
| | - Wenhua Jian
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Disease, National Clinical Research Center for Respiratory Disease, 1st Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Hongyan Shang
- Department of Medical Affairs, AstraZeneca China, Shanghai, China
| | - Chen Wang
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, 100029, China. .,National Clinical Research Center for Respiratory Diseases, Beijing, 100029, China.
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96
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Wang D, Fan G, Wu S, Yang T, Xu J, Yang L, Zhao J, Zhang X, Bai C, Kang J, Ran P, Shen H, Wen F, Huang K, Chen Y, Sun T, Shan G, Lin Y, Xu G, Wang R, Shi Z, Xu Y, Ye X, Song Y, Wang Q, Zhou Y, Li W, Ding L, Wan C, Yao W, Guo Y, Xiao F, Lu Y, Peng X, Zhang B, Xiao D, Wang Z, Bu X, Zhang H, Zhang X, An L, Zhang S, Zhu J, Cao Z, Zhan Q, Yang Y, Liang L, Dai H, Cao B, He J, Wang C. Development and Validation of a Screening Questionnaire of COPD from a Large Epidemiological Study in China. COPD 2022; 19:118-124. [PMID: 35385369 DOI: 10.1080/15412555.2022.2042504] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
OBJECTIVE We aimed to establish an easy-to-use screening questionnaire with risk factors and suspected symptoms of COPD for primary health care settings. METHODS Based on a nationwide epidemiological study of pulmonary health among adults in mainland China (China Pulmonary Health, CPH study) between 2012 and 2015, participants ≥40 years who completed the questionnaire and spirometry tests were recruited and randomly divided into development set and validation set by the ratio of 2:1. Parameters including sex, age, BMI, residence, education, smoking status, smoking pack-years, biomass exposure, parental history of respiratory diseases and daily respiratory symptoms were initially selected for the development of scoring system. Receiver operating characteristic (ROC) curve, area under curve (AUC), positive and negative predictive values were calculated in development set and validation set. RESULTS After random split by 2:1 ratio, 22443 individuals were assigned to development set and 11221 to validation set. Ten variables were significantly associated with COPD independently in development set after a stepwise selection by multivariable logistic model and used to develop scoring system. The scoring system yielded good discrimination, as measured by AUC of 0.7737, and in the validation set, the AUC was 0.7711. When applying a cutoff point of ≥16, the sensitivity in development set was 0.69 (0.67 - 0.71); specificity 0.72 (0.71 - 0.73), PPV 0.25 (0.24 - 0.26) and NPV 0.94 (0.94 - 0.95). CONCLUSION We developed and validated a comprehensive screening questionnaire, COPD-CPHS, with good discrimination. The score system still needs to be validated by large cohort in the future. Supplemental data for this article is available online at https://doi.org/10.1080/15412555.2022.2042504 .
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Affiliation(s)
- Dingyi Wang
- China-Japan Friendship Hospital, National Center for Respiratory Medicine, Institute of Clinical Medical Sciences, Beijing, China; Chinese Academy of Medical Sciences, Institute of Respiratory Medicine, Beijing, China
| | - Guohui Fan
- China-Japan Friendship Hospital, National Center for Respiratory Medicine, Institute of Clinical Medical Sciences, Beijing, China; Chinese Academy of Medical Sciences, Institute of Respiratory Medicine, Beijing, China
| | - Sinan Wu
- Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; Chinese Academy of Medical Sciences, Institute of Respiratory Medicine, Beijing, China
| | - Ting Yang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Jianying Xu
- Department of Pulmonary and Critical Care Medicine, Shanxi Bethune Hospital, Taiyuan, China
| | - Lan Yang
- Department of Pulmonary and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jianping Zhao
- Department of Pulmonary and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiangyan Zhang
- Department of Pulmonary and Critical Care Medicine, Guizhou Provincial People's Hospital, Guiyang, China
| | - Chunxue Bai
- Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jian Kang
- Department of Pulmonary and Critical Care Medicine, First Hospital of China Medical University, Shenyang, China
| | - Pixin Ran
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou Institute of Respiratory Diseases, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Huahao Shen
- Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Fuqiang Wen
- State Key Laboratory of Biotherapy of China and Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Kewu Huang
- Beijing Key Laboratory of Respiratory and Pulmonary Circulation Disorders, Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China; Beijing Institute of Respiratory Medicine, Beijing, China
| | - Yahong Chen
- Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing, China
| | - Tieying Sun
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, Beijing, China; National Center of Gerontology, Beijing Hospital, Beijing, China
| | - Guangliang Shan
- Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Institute of Basic Medical Sciences, Beijing, China
| | - Yingxiang Lin
- Beijing Key Laboratory of Respiratory and Pulmonary Circulation Disorders, Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China; Beijing Institute of Respiratory Medicine, Beijing, China
| | - Guodong Xu
- China-Japan Friendship Hospital, National Center for Respiratory Medicine, Institute of Clinical Medical Sciences, Beijing, China; Chinese Academy of Medical Sciences, Institute of Respiratory Medicine, Beijing, China
| | - Ruiying Wang
- Department of Pulmonary and Critical Care Medicine, Shanxi Bethune Hospital, Taiyuan, China
| | - Zhihong Shi
- Department of Pulmonary and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Yongjian Xu
- Department of Pulmonary and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xianwei Ye
- Department of Pulmonary and Critical Care Medicine, Guizhou Provincial People's Hospital, Guiyang, China
| | - Yuanlin Song
- Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qiuyue Wang
- Department of Pulmonary and Critical Care Medicine, First Hospital of China Medical University, Shenyang, China
| | - Yumin Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou Institute of Respiratory Diseases, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Wen Li
- Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Liren Ding
- Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Chun Wan
- State Key Laboratory of Biotherapy of China and Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Wanzhen Yao
- Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing, China
| | - Yanfei Guo
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, Beijing, China; National Center of Gerontology, Beijing Hospital, Beijing, China
| | - Fei Xiao
- National Center of Gerontology, Beijing Hospital, Beijing, China
| | - Yong Lu
- Beijing Key Laboratory of Respiratory and Pulmonary Circulation Disorders, Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China; Beijing Institute of Respiratory Medicine, Beijing, China
| | - Xiaoxia Peng
- Center for Clinical Epidemiology and Evidence-based Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Biao Zhang
- Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Institute of Basic Medical Sciences, Beijing, China
| | - Dan Xiao
- Tobacco Medicine and Tobacco Cessation Center, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China; National Clinical Research Center for Respiratory Diseases, Beijing, China; WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
| | - Zuomin Wang
- Department of Stomatology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Xiaoning Bu
- Beijing Key Laboratory of Respiratory and Pulmonary Circulation Disorders, Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China; Beijing Institute of Respiratory Medicine, Beijing, China
| | - Hong Zhang
- Beijing Key Laboratory of Respiratory and Pulmonary Circulation Disorders, Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China; Beijing Institute of Respiratory Medicine, Beijing, China
| | - Xiaolei Zhang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Li An
- Beijing Key Laboratory of Respiratory and Pulmonary Circulation Disorders, Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China; Beijing Institute of Respiratory Medicine, Beijing, China
| | - Shu Zhang
- Beijing Key Laboratory of Respiratory and Pulmonary Circulation Disorders, Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China; Beijing Institute of Respiratory Medicine, Beijing, China
| | - Jianguo Zhu
- National Center of Gerontology, Beijing Hospital, Beijing, China
| | - Zhixin Cao
- Beijing Key Laboratory of Respiratory and Pulmonary Circulation Disorders, Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China; Beijing Institute of Respiratory Medicine, Beijing, China
| | - Qingyuan Zhan
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Yuanhua Yang
- Beijing Key Laboratory of Respiratory and Pulmonary Circulation Disorders, Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China; Beijing Institute of Respiratory Medicine, Beijing, China
| | - Lirong Liang
- Department of Epidemiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China; Beijing Institute of Respiratory Medicine, Beijing, China
| | - Huaping Dai
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Bin Cao
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Chen Wang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, P. R. China
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97
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Wang R, Xu J, Wang Y. Encuesta poblacional sobre la prevalencia y los factores de riesgo de la enfermedad pulmonar obstructiva crónica en la provincia de Shanxi (China). Rev Clin Esp 2022. [DOI: 10.1016/j.rce.2021.04.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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98
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Medicinal Foods, YT and RH Combination, Suppress Cigarette Smoke-Induced Inflammation and Oxidative Stress by Inhibiting NF- κB/ERK Signaling Pathways. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2022; 2022:4525758. [PMID: 35321502 PMCID: PMC8938073 DOI: 10.1155/2022/4525758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 12/28/2021] [Indexed: 11/18/2022]
Abstract
Background Cigarette smoke is a risk factor for Chronic Obstructive Pulmonary Disease (COPD). Given the lack of COPD curative treatment, dietary management for COPD patients has become important. This study investigated whether the medicinal foods (YT and RH) could suppress cigarette smoke exposure-induced inflammation and oxidative stress. Methods Chronic pulmonary inflammation in male C57 mice was induced by a 4-week exposure to cigarette smoke (CS). The medicinal foods YT and RH were orally administered 1 week prior to CS exposure. The protective effects were assessed by measuring the pulmonary function and histopathological evaluations. Inflammatory cell numbers and cytokines levels in BALF and blood serum were analyzed by enzyme-linked immunosorbent assay (ELISA). Malondialdehyde (MDA) and superoxide dismutase (SOD) levels of the lung were analyzed. Furthermore, the levels of phosphorylated ERK and NF-κB in both the mice lungs and RAW264.7 cells were also detected. Results YT and RH combination (YT + RH) significantly improved pulmonary function and suppressed the inflammation, including cell number and cytokines in BALF relative to the CS group; histological examination revealed protective effects of YT + RH in the lungs of mice exposed to CS. Moreover, the MDA level in the lung of the YT + RH group of mice was lower, the SOD activity was higher, and in vitro treatment of YT and RH combination attenuated reactive oxygen species (ROS) expression in mouse macrophage RAW264.7 cells stimulated with cigarette smoke (CSE). YT + RH combination significantly reduced the expression of pNF-κB and pERK in the lung tissues and macrophage stimulated with CSE. Conclusions YT and RH combination attenuates cigarette smoke-induced inflammation and oxidative stress through inhibition of the NF-κB/ERK signaling pathway.
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99
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Xiao S, Wu F, Wang Z, Chen J, Yang H, Zheng Y, Deng Z, Peng J, Wen X, Huang P, Dai C, Lu L, Zhao N, Ran P, Zhou Y. Validity of a portable spirometer in the communities of China. BMC Pulm Med 2022; 22:80. [PMID: 35248001 PMCID: PMC8898436 DOI: 10.1186/s12890-022-01872-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 02/28/2022] [Indexed: 11/13/2022] Open
Abstract
Background The lack of simple and affordable spirometry has led to the missed and delayed diagnoses of chronic respiratory diseases in communities. The PUS201P is a portable spirometry developed to solve this problem. Objective We aimed to verify the consistency of the PUS201P spirometer with conventional Jaeger spirometer. Methods In this cross-sectional study, we randomly recruited 202 subjects aged > 40 years. Testing with the portable spirometry and conventional spirometry were performed on all participants. We compared forced expiratory volume in one second (FEV1), forced vital capacity (FVC), FEV1/FVC measured by the PUS201P device with the conventional spirometer. Pearson correlation coefficient and Interclass Correlation Coefficient (ICC) were assessed to confirm the consistency of the measures from two instruments. Bland–Altman graph was created to assess the agreement of the measures from two devices.
Results 202 participants were included in this study. The ICC on FEV1, FVC, FEV1/FVC measured by the portable spirometer and the conventional spirometer were 0.95 (95% confidence interval [CI]: 0.94–0.96), 0.92 (95% CI: 0.90–0.94], 0.93 (95% CI: 0.91–0.95), respectively. The Bland–Altman plots showed that the mean difference between the measures from two spirometers are always located in the 95% limits of agreement. Conclusions Our results support that the measures from the portable spirometer and the conventional spirometer have a good agreement and reproducibility. And the portable spirometer is a reliable tool to screen and diagnose chronic airway diseases in the primary care settings. Supplementary Information The online version contains supplementary material available at 10.1186/s12890-022-01872-9.
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100
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Zhang H, Daoud SZ, Gillen MS, Calderon N, Heijer M, Molins E, Garcia-Gil E, Chen H, Li Q, Liu C, Ding Y. An Evaluation of the Pharmacokinetics, Safety, and Tolerability of Aclidinium/Formoterol Fixed-Dose Combination Administered in Chinese Patients with Moderate-to-Severe Chronic Obstructive Pulmonary Disease. Drugs R D 2022; 22:35-42. [PMID: 35133636 PMCID: PMC8885933 DOI: 10.1007/s40268-021-00374-z] [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] [Accepted: 11/28/2021] [Indexed: 11/23/2022] Open
Abstract
Background and Objectives The aim of this study was to evaluate the pharmacokinetics, safety, and tolerability of aclidinium bromide/formoterol fumarate in patients from China with moderate-to-severe chronic obstructive pulmonary disease (COPD). Methods In this open-label, repeat-dose, 5-day pharmacokinetic study (NCT03276078) of inhaled aclidinium bromide/formoterol fumarate 400/12 µg twice daily, plasma concentrations of aclidinium, formoterol, and two aclidinium metabolites (LAS34823, LAS34850) were assessed (days 1 and 5). Adverse event (AE) data were collected. Results Twenty patients (15 [75%] males) with a mean age of 59.2 years were included. Median (range) time to maximum concentration on days 1 and 5 was 0.08 (0.08–0.50) and 0.08 (0.08–0.50) h, respectively, for aclidinium; and 1.00 (0.08–3.00) and 0.08 (0.08–1.50) h, respectively, for formoterol. Mean elimination half-life and accumulation ratio for area under the concentration–time curve during a dosage interval (AUCτ) was 19.42 h and 2.0, respectively, for aclidinium; and 14.06 h and 1.4, respectively, for formoterol. Steady-state maximum concentration (Cmax,ss) and AUCτ on day 5 were 60.86 pg/mL and 168.80 h·pg/mL, respectively, for aclidinium; and 6.47 pg/mL and 31.98 h·pg/mL, respectively, for formoterol. Aclidinium produced high coefficients of variation (day 1: AUCτ 79.0%, Cmax 84.5%; day 5: AUCτ 82.2%, Cmax 150.0%). Few AEs were reported, typically one per patient. One patient discontinued due to a serious AE (considered possibly unrelated to treatment). Conclusions Aclidinium/formoterol 400/12 µg twice daily was well-tolerated in patients from China with moderate-to-severe COPD. Safety findings were consistent with the known safety profile. Clinical Trial Identifier ClinicalTrials.gov, NCT03276078. Supplementary Information The online version contains supplementary material available at 10.1007/s40268-021-00374-z.
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Affiliation(s)
- Hong Zhang
- Phase I Clinical Trial Unit, The First Hospital, Jilin University, No 71, Xinmin Street, Changchun, 130021, China
| | - Sami Z Daoud
- BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, MD, USA
| | | | | | - Maria Heijer
- BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Eduard Molins
- BioPharmaceuticals R&D, AstraZeneca, Barcelona, Spain
| | | | - Hong Chen
- Phase I Clinical Trial Unit, The First Hospital, Jilin University, No 71, Xinmin Street, Changchun, 130021, China
| | - Qianqian Li
- Phase I Clinical Trial Unit, The First Hospital, Jilin University, No 71, Xinmin Street, Changchun, 130021, China
| | - Chengjiao Liu
- Phase I Clinical Trial Unit, The First Hospital, Jilin University, No 71, Xinmin Street, Changchun, 130021, China
| | - Yanhua Ding
- Phase I Clinical Trial Unit, The First Hospital, Jilin University, No 71, Xinmin Street, Changchun, 130021, China.
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