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Hu J, Gao R, Wang Y, Li Y, Wang Y, Wang Z, Yang J. Effect of Liuzijue on pulmonary rehabilitation in patients with chronic obstructive pulmonary disease: study protocol for a multicenter, non-randomized, prospective study. BMC Complement Med Ther 2022; 22:296. [PMID: 36397066 PMCID: PMC9670448 DOI: 10.1186/s12906-022-03789-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 11/10/2022] [Indexed: 11/19/2022] Open
Abstract
Background Traditional Chinese exercise as a new pulmonary rehabilitation technique has been increasingly used and achieved good results in pulmonary rehabilitation of chronic obstructive pulmonary disease (COPD). The aim of this study is to investigate the protective effects of Liuzijue on exercise tolerance, lung function, and quality of life in patients with COPD. Methods This study is a multicenter, non-randomized, prospective study. Patients will be divided into a control group (CG) and a Liuzijue group (LG) based on their willingness to learn Liuzijue. None of the outcome assessors will know the grouping of patients. Participants in this study will be collected from stable COPD patients who are outpatients or inpatients in 3 centers in China since September 2021. Patients will meet the diagnostic criteria for GOLD stage I-II COPD (FEV1% ≥ 0.5 and FEV1/FVC < 0.7) and be aged 40 years or older. Patients voluntarily will take part in the clinical study and sign an informed consent form. All participants will follow their existing medication. For LG patients, Liuzijue training has been added. Patients will practice Liuzijue for more than 30 minutes a day, more than 5 days a week, and adhere to the training for 3 months. Outcome indicators are 6-minute walk test (6MWT), lung function (FEV1%, FEV1/FVC, MMEF, PEF), modified British Medical Research Council (mMRC) score, COPD assessment test score (CAT), acute exacerbations and changes in drug treatment. Discussion This study quantified the effect of Liuzijue on the pulmonary rehabilitation of COPD patients in the stable phase of the disease, and provided a basis for the use of Liuzijue in COPD patients. Trial registration Chinese clinical trial registry, ChiCTR2100048945. Date: 2021-07-19. http://www.chictr.org.cn/showproj.aspx?proj=129094 Supplementary Information The online version contains supplementary material available at 10.1186/s12906-022-03789-6.
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Affiliation(s)
- Jiaming Hu
- grid.268505.c0000 0000 8744 8924Zhejiang Chinese Medical University, Binwen Road 548, Binjiang District, Zhejiang, 310053 Hangzhou China
| | - Rundi Gao
- grid.268505.c0000 0000 8744 8924The Second Clinical Medical College, Zhejiang Chinese Medical University, Binwen Road 548, Binjiang District, Zhejiang, 310053 Hangzhou China ,grid.417400.60000 0004 1799 0055Department of Respiration, The First Affiliated Hospital of Zhejiang Chinese Medical University, Youdian Road 54, Shangcheng District, Zhejiang, 310006 Hangzhou China
| | - Yiting Wang
- grid.268505.c0000 0000 8744 8924Zhejiang Chinese Medical University, Binwen Road 548, Binjiang District, Zhejiang, 310053 Hangzhou China
| | - Yan Li
- grid.268505.c0000 0000 8744 8924Zhejiang Chinese Medical University, Binwen Road 548, Binjiang District, Zhejiang, 310053 Hangzhou China
| | - Yaqin Wang
- grid.268505.c0000 0000 8744 8924Zhejiang Chinese Medical University, Binwen Road 548, Binjiang District, Zhejiang, 310053 Hangzhou China
| | - Zhen Wang
- grid.417400.60000 0004 1799 0055Department of Respiration, The First Affiliated Hospital of Zhejiang Chinese Medical University, Youdian Road 54, Shangcheng District, Zhejiang, 310006 Hangzhou China
| | - Junchao Yang
- grid.417400.60000 0004 1799 0055Department of Respiration, The First Affiliated Hospital of Zhejiang Chinese Medical University, Youdian Road 54, Shangcheng District, Zhejiang, 310006 Hangzhou China
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Zhang X, Zhang Y, Zhou Y, Yin D, Lv C, Lin J, Bao W, Zhang M. Age-related circadian rhythm and variability of large- and small-airway function in healthy non-smoking adults: Data from 7-day diurnal and nocturnal home monitoring using an electronic portable spirometer. Front Public Health 2022; 10:946988. [PMID: 36324462 PMCID: PMC9618715 DOI: 10.3389/fpubh.2022.946988] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 09/23/2022] [Indexed: 01/21/2023] Open
Abstract
Background The aim of the study was to investigate the possible influencing factors of the large- and small-airway function variation in healthy non-smoking adults. Methods Healthy non-medical non-smoking adults were enrolled in this prospective cohort study. Each participant took the portable spirometer test relying only on video teaching. Then conventional spirometry and bronchodilation test were conducted using a Jaeger spirometer, followed by 7-day diurnal and nocturnal home monitoring using a portable spirometer. Results A drop in both large- and small-airway function began at about 25 years of age, and a rapidly decline at about 50 years. The CV of FEV1 (r = 0.47, P = 0.0082) and small-airway function variables correlated with age (r ≥ 0.37, P < 0.05 for both MEFs and MEFs/FVC), especially for evening small-airway function variables. The CV of large (4.666 ± 1.946, P = 0.002 for FEV1; 4.565 ± 2.478, P = 0.017 for FEV3) and small airways (10.38 ± 3.196, P = 0.031 for MEF50 and 11.21 ± 4.178, P = 0.023 for MMEF) was higher in the 45- to 60-year subgroup than in the 30- to 45-year and 18- to 30-year subgroups. Interpretation Age was the main influencing factor of both central and peripheral airway function variability, especially for the small-airway function in the evening. The LLN of small-airway variables varies depending on the age and circadian rhythm. People older than 45 years should pay more attention to monitoring small-airway function in the evening, which will be helpful for early clinical detection of those at high risk for asthma. Trial registration number ChiCTR2100050355.
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Alobaidi NY, Almeshari M, Stockley J, Stockley RA, Sapey E. Small airway function measured using forced expiratory flow between 25% and 75% of vital capacity and its relationship to airflow limitation in symptomatic ever-smokers: a cross-sectional study. BMJ Open Respir Res 2022; 9:9/1/e001385. [PMID: 36202407 PMCID: PMC9540854 DOI: 10.1136/bmjresp-2022-001385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Accepted: 09/17/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Chronic obstructive pulmonary disease (COPD) is diagnosed and its severity graded by traditional spirometric parameters (forced expiratory volume in 1 s (FEV1)/forced vital capacity (FVC) and FEV1, respectively) but these parameters are considered insensitive for identifying early pathology. Measures of small airway function, including forced expiratory flow between 25% and 75% of vital capacity (FEF25-75), may be more valuable in the earliest phases of COPD. This study aimed to determine the prevalence of low FEF25-75 in ever-smokers with and without airflow limitation (AL) and to determine whether FEF25-75 relates to AL severity. METHOD A retrospective analysis of lung function data of 1458 ever-smokers suspected clinically of having COPD. Low FEF25-75 was defined by z-score<-0.8345 and AL was defined by FEV1/FVC z-scores<-1.645. The severity of AL was evaluated using FEV1 z-scores. Participants were placed into three groups: normal FEF25-75/ no AL (normal FEF25-75/AL-); low FEF25-75/ no AL (low FEF25-75/AL-) and low FEF25-75/ AL (low FEF25-75/AL+). RESULTS Low FEF25-75 was present in 99.9% of patients with AL, and 50% of those without AL. Patients in the low FEF25-75/AL- group had lower spirometric measures (including FEV1 FEF25-75/FVC and FEV3/FVC) than those in the normal FEF25-75/AL- group. FEF25-75 decreased with AL severity. A logistic regression model demonstrated that in the absence of AL, the presence of low FEF25-75 was associated with lower FEV1 and FEV1/FVC even when smoking history was accounted for. CONCLUSIONS Low FEF25-75 is a physiological trait in patients with conventional spirometric AL and likely reflects early evidence of impairment in the small airways when spirometry is within the 'normal range'. FEF25-75 likely identifies a group of patients with early evidence of pathological lung damage who warrant careful monitoring and reinforced early intervention to abrogate further lung injury.
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Affiliation(s)
- Nowaf Y Alobaidi
- Birmingham Acute Care Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
- Respiratory Therapy Department, College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Alahsa, Saudi Arabia
- King Abdullah International Medical Research Center, Alahsa, Saudi Arabia
| | - Mohammed Almeshari
- Birmingham Acute Care Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
- Rehabilitation Health Sciences Department, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
| | - James Stockley
- Lung Function & Sleep Department, Respiratory Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Robert Andrew Stockley
- Lung Function & Sleep Department, Respiratory Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Elizabeth Sapey
- Birmingham Acute Care Research Group, Institute of Inflammation and Ageing, University of Birmingham College of Medical and Dental Sciences, Birmingham, UK
- Acute Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
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4
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Cui S, Shu Z, Ma Y, Lin Y, Wang H, Cao H, Liu J, Gong X. A novel computed tomography radiomic nomogram for early evaluation of small airway dysfunction development. Front Med (Lausanne) 2022; 9:944294. [PMID: 36177331 PMCID: PMC9513435 DOI: 10.3389/fmed.2022.944294] [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: 05/15/2022] [Accepted: 08/15/2022] [Indexed: 11/25/2022] Open
Abstract
The common respiratory abnormality, small airway dysfunction (fSAD), is easily neglected. Its prognostic factors, prevalence, and risk factors are unclear. This study aimed to explore the early detection of fSAD using radiomic analysis of computed tomography (CT) images to predict fSAD progress. The patients were divided into fSAD and non-fSAD groups and divided randomly into a training group (n = 190) and a validation group (n = 82) at a 7:3 ratio. Lung kit software was used for automatic delineation of regions of interest (ROI) on chest CT images. The most valuable imaging features were selected and a radiomic score was established for risk assessment. Multivariate logistic regression analysis showed that age, radiomic score, smoking, and history of asthma were significant predictors of fSAD (P < 0.05). Results suggested that the radiomic nomogram model provides clinicians with useful data and could represent a reliable reference to form fSAD clinical treatment strategies.
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Affiliation(s)
- Sijia Cui
- Rehabilitation Medicine Center, Department of Radiology, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Zhenyu Shu
- Rehabilitation Medicine Center, Department of Radiology, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Yanqing Ma
- Rehabilitation Medicine Center, Department of Radiology, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Yi Lin
- Rehabilitation Medicine Center, Department of Radiology, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Haochu Wang
- Rehabilitation Medicine Center, Department of Radiology, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Hanbo Cao
- Rehabilitation Medicine Center, Department of Radiology, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Jing Liu
- Rehabilitation Medicine Center, Department of Radiology, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Xiangyang Gong
- Rehabilitation Medicine Center, Department of Radiology, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
- Hangzhou Medical College, Institute of Artificial Intelligence and Remote Imaging, Hangzhou, China
- *Correspondence: Xiangyang Gong,
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Liao Q, Du R, Ma R, Liu X, Zhang Y, Zhang Z, Ji P, Xiao M, Cui Y, Xing X, Liu L, Dang S, Deng Q, Xiao Y. Association between exposure to a mixture of benzene, toluene, ethylbenzene, xylene, and styrene (BTEXS) and small airways function: A cross-sectional study. ENVIRONMENTAL RESEARCH 2022; 212:113488. [PMID: 35597292 DOI: 10.1016/j.envres.2022.113488] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 05/05/2022] [Accepted: 05/13/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Lung is one of the primary target organs of benzene, toluene, ethylbenzene, xylene, and styrene (BTEXS). Small airways dysfunction (SAD) might be a sensitive indicator of early chronic respiratory disease. Here, we explored the relationships between exposure to BTEXS and small airways function, and identified the priority control pollutants in BTEXS mixtures. METHODS 635 petrochemical workers were recruited. Standard spirometry testing was conducted by physicians. The cumulative exposure dose (CED) of BTEXS for each worker was estimated. The peak expiratory flow (PEF), forced expiratory flow between 25 and 75% of forced vital capacity (FEF25∼75%), and the expiratory flow rate found at 25%, 50%, and 75% of the remaining exhaled vital capacity (MEF25%, MEF50%, and MEF75%) were measured. SAD was also evaluated based on measured parameters. The associations between exposure to BTEXS individuals or mixtures and small airways function were evaluated using generalized linear regression models (GLMs) and quantile g-computation models (qgcomp). Meanwhile, the weights of each homolog in the association were estimated. RESULTS The median CED of BTEXS are 9.624, 19.306, 24.479, 28.210, and 46.781 mg/m3·years, respectively. A unit increase in ln-transformed styrene CED was associated with a decrease in FEF25∼75% and MEF50% based on GLMs. One quartile increased in BTEXS mixtures (ln-transformed) was significantly associated with a 0.325-standard deviation (SD) [95% confidence interval (CI): -0.464, -0.185] decline in FEF25∼75%, a 0.529-SD (95%CI: -0.691, -0.366) decline in MEF25%, a 0.176-SD (95%CI: -0.335, -0.017) decline in MEF75%, and increase in the risk of abnormal of SAD [risk ratios (95%CI): 1.520 (95%CI: 1.143, 2.020)]. Benzene and styrene were the major chemicals in BTEXS for predicting the overall risk of SAD. CONCLUSION Our novel findings demonstrate the significant association between exposure to BTEXS mixture and small airways function decline and the potential roles of key homologs (benzene and styrene) in SAD.
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Affiliation(s)
- Qilong Liao
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, China; Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
| | - Rui Du
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, China
| | - Rui Ma
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, China
| | - Xin Liu
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, China
| | - Yan Zhang
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, China
| | - Zhaorui Zhang
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, China
| | - Penglei Ji
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, China
| | - Minghui Xiao
- Guangdong Provincial Key Laboratory of Occupational Disease Prevention and Treatment, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, No. 68 Haikang Street, Guangzhou, 510300, Guangdong, China
| | - Ying Cui
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, China
| | - Xiumei Xing
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, China
| | - Lili Liu
- Guangdong Provincial Key Laboratory of Occupational Disease Prevention and Treatment, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, No. 68 Haikang Street, Guangzhou, 510300, Guangdong, China
| | - Shanfeng Dang
- Occupational Disease Prevention and Treatment Institute of Sinopec Maoming Petrochemical Company, No. 9 Shuangshan Road 4, Maoming, 525000, Guangdong, China
| | - Qifei Deng
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, China; Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China.
| | - Yongmei Xiao
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, China; Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China.
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Small Airway Dysfunction in Chronic Bronchitis with Preserved Pulmonary Function. Can Respir J 2022; 2022:4201786. [PMID: 36060828 PMCID: PMC9433251 DOI: 10.1155/2022/4201786] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 06/01/2022] [Accepted: 08/01/2022] [Indexed: 11/18/2022] Open
Abstract
Impairment of pulmonary function was evaluated in chronic bronchitis patients with preserved ratio impaired spirometry (PRISm). We retrospectively collected clinical data from 157 chronic bronchitis (CB) and 186 chronic obstructive pulmonary disease (COPD) patients between October 2014 and September 2017. These patients were assigned to three groups: control (normal pulmonary function), PRISm (forced expiratory volume in 1 second [FEV1]/forced vital capacity [FVC] ≥ 0.7, FEV1 < 80% of predicted value), and COPD (FEV1/FVC <0.7) groups. Because small airway function was the main focus, in the COPD group, only patients in accordance with the Global Initiative for Chronic Obstructive Lung Disease (GOLD) grades 1 and 2 were included. Evaluation of pulmonary function (including impulse oscillometry) was performed and compared among these groups. Compared with the control group, the PRISm and COPD groups showed statistically significant differences in the predicted FEV1%
, maximal expiratory flow (MEF) 25%
, MEF50%
, maximal midexpiratory flow (MMEF) 25–75%
, residual volume (RV)/total lung capacity (TLC;
), FVC%
, total respiratory resistance and proximal respiratory resistance (R5-R20;
), respiratory system reactance at 5 Hz (X5;
), resonant frequency (Fres;
), and area of reactance (Ax;
). However, the predicted FEV1% and RV/TLC were similar between the PRISm and COPD groups (
and 0.122, respectively). PRISm is a nonspecific pattern of pulmonary function that indicates small airway dysfunction and may increase the risk of transformation to obstructive ventilation dysfunction. This trial is registered with ChiCTR-OCH-14004904.
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Zhang X, Xie B, Ban C, Ren Y, Ye Q, Zhu M, Liu Y, Zhang S, Geng J, Jiang D, Dai H. Small airway dysfunction in Chinese patients with idiopathic pulmonary fibrosis. BMC Pulm Med 2022; 22:297. [PMID: 35918677 PMCID: PMC9347131 DOI: 10.1186/s12890-022-02089-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 07/26/2022] [Indexed: 11/20/2022] Open
Abstract
Background Recent years, idiopathic pulmonary fibrosis (IPF) is thought to be a disease of alveoli as well as small airways. This study aimed to demonstrate the clinical feature, predictor, and prognosis of small airway dysfunction (SAD) in Chinese patients with IPF. Methods We enrolled 416 patients with IPF who hospitalized in Beijing Chao-Yang Hospital from 2000 to 2014 in this study, and the follow-up ended at December 2016. We collected demographic information, clinical examination results, spirometry results, HRCT results, and blood gas results during the study. Logistic regression analysis was used to identify the predictor for SAD. The COX proportional hazard model was used to analysis the prognosis effect of SAD. Results Among all the participants, 165 (39.66%) patients had SAD. FEV1 (% predicted) and FEV3/FVC were significantly associated with SAD in patients with IPF. IPF patients with lower FEV1 (% predicted, OR 30.04, 95% CI 9.61–93.90) and FEV3/FVC (OR 77.76, 95% CI 15.44–391.63) had increased risk for SAD. Patients with SAD were associated with significantly increased risk of mortality in patients with IPF (HR 1.73, 95% CI 1.02–2.92), as well as in IPF patients without other pulmonary comorbidities (COPD, emphysema, and asthma). Conclusions Spirometry-defined SAD was like 40% in patients with IPF. Lower FEV1 (% predicted) and FEV3/FVC were main predictors for SAD. IPF patients with SAD showed poorer prognosis. Supplementary Information The online version contains supplementary material available at 10.1186/s12890-022-02089-6.
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Affiliation(s)
- Xinran Zhang
- Department of Clinical Research and Data Management, Center of Respiratory Medicine, China-Japan Friendship Hospital, National Center for Respiratory Medicine; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, National Clinical Research Center for Respiratory Diseases, Beijing, 100029, China
| | - Bingbing Xie
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, National Center for Respiratory Medicine; National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Science, Peking Union Medical College, Beijing, 100029, China
| | - Chenjun Ban
- Department of Respiration, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100027, China
| | - Yanhong Ren
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, National Center for Respiratory Medicine; National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Science, Peking Union Medical College, Beijing, 100029, China
| | - Qiao Ye
- Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China
| | - Min Zhu
- Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China
| | - Yan Liu
- Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China
| | - Shu Zhang
- Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China
| | - Jing Geng
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, National Center for Respiratory Medicine; National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Science, Peking Union Medical College, Beijing, 100029, China
| | - Dingyuan Jiang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, National Center for Respiratory Medicine; National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Science, Peking Union Medical College, Beijing, 100029, China
| | - Huaping Dai
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, National Center for Respiratory Medicine; National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Science, Peking Union Medical College, Beijing, 100029, China. .,Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China. .,Department of Respiratory and Critical Care Medicine, China-Japan Friendship Hospital, 2 Yinghuayuan E St, Chaoyang District, Beijing, 100029, China.
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Urbankowski T, Przybyłowski T. Blood eosinophils, FeNO and small airways dysfunction in predicting airway hyperresponsiveness in patients with asthma-like symptoms. J Asthma 2021; 59:1376-1386. [PMID: 33926353 DOI: 10.1080/02770903.2021.1923741] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
PURPOSE In patients with suspected asthma and no airflow limitation in spirometry, methacholine challenge testing (MCT) for airway hyperresponsiveness (AHR) is an option of documenting variable airflow limitation. The goal of the study was to assess the ability of blood eosinophils, fractional concentration of exhaled nitric oxide (FeNO) and distal airways function to discriminate patients with AHR from those with normal airway responsiveness (AR). METHODS We analyzed baseline data from 42 participants who underwent MCT because of asthma-like symptoms and no airflow limitation in spirometry. RESULTS Eosinophil count was higher among participants with borderline AHR comparing to those with normal AR (340 cells/µL, IQR 285-995 vs. 125 cells/µL, IQR 75-180, post-hoc p = 0.041). FeNO and percent predicted of functional residual volume (FRC%pred) were higher in participants with moderate-marked AHR compared to those with normal AR (40 ppb, IQR 30.5-100.5 vs. 18 ppb, IQR 13-50, post-hoc p = 0.008; 140.1%±17.0% vs. 107.3%±20.7%, post-hoc p < 0.001, respectively). Percentage predicted of the maximal expiratory flow at 25% of the forced vital capacity (MEF25%pred) was lower in participants with mild AHR and borderline AHR compared to those with normal AR (72.9%±16.9% vs. 113.0%±36.8%, post-hoc p = 0.017; 73.3%±15.9% vs. 113.0%±36.8%, post-hoc p = 0.045; respectively). Level of AHR correlated with eosinophil count, FeNO, MEF25%pred, forced expiratory flow between 25% and 75% of vital capacity (FEF25-75%pred), FRC%pred and specific airway resistance (sRaw). CONCLUSIONS Blood eosinophils, FeNO and small airways dysfunction markers are related to the level of AR to methacholine in patients with asthma-like symptoms and no airflow limitation in spirometry.
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Affiliation(s)
- Tomasz Urbankowski
- Department of Internal Medicine, Pulmonary Diseases and Allergy, Medical University of Warsaw, Warsaw, Poland
| | - Tadeusz Przybyłowski
- Department of Internal Medicine, Pulmonary Diseases and Allergy, Medical University of Warsaw, Warsaw, Poland
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Bao W, Zhang X, Yin J, Han L, Huang Z, Bao L, Lv C, Hao H, Xue Y, Zhou X, Zhang M. Small-Airway Function Variables in Spirometry, Fractional Exhaled Nitric Oxide, and Circulating Eosinophils Predicted Airway Hyperresponsiveness in Patients with Mild Asthma. J Asthma Allergy 2021; 14:415-426. [PMID: 33907426 PMCID: PMC8071078 DOI: 10.2147/jaa.s295345] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 03/09/2021] [Indexed: 12/19/2022] Open
Abstract
Purpose Patients with variable symptoms suggestive of asthma but with normal forced expiratory volume in 1 second (FEV1) often fail to be diagnosed without a bronchial provocation test, but the test is expensive, time-consuming, risky, and not readily available in all clinical settings. Patients and Methods A cross-sectional study was performed in 692 patients with FEV1≥80% predicted; normal neutrophils and chest high-resolution computed tomography; and recurrent dyspnea, cough, wheeze, and chest tightness. Results Compared with subjects negative for AHR (n=522), subjects positive for AHR (n=170) showed increased FENO values, peripheral eosinophils (EOS), and R5-R20; decreased FEV1, FEV1/Forced vital capacity (FVC), and forced expiratory flow (FEFs) (P≤.001 for all). Small-airway dysfunction was identified in 104 AHR+ patients (61.17%), and 132 AHR− patients (25.29%) (P<0.001). The areas under the curve (AUCs) of variables used singly for an AHR diagnosis were lower than 0.77. Using joint models of FEF50%, FEF75%, or FEF25%-75% with FENO increased the AUCs to 0.845, 0.824, and 0.844, respectively, significantly higher than univariate AUCs (P <0.001 for all). Patients who reported chest tightness (n=75) had lower FEFs than patients who did not (P<0.001 for all). In subjects with chest tightness, the combination of FEF50% or FEF25%-75% with EOS also increased the AUCs substantially, to 0.815 and 0.816, respectively (P <0.001 for all versus the univariate AUCs). Conclusion FENO combined with FEF50% and FEF25%-75% predict AHR in patients with normal FEV1. FEF25%-75%, FEF50%, or FEF25%-75% together with EOS also can potentially suggest asthma in patients with chest tightness.
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Affiliation(s)
- Wuping Bao
- Department of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Xue Zhang
- Department of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Junfeng Yin
- School of Mathematical Sciences, Tongji University, Shanghai, People's Republic of China
| | - Lei Han
- Department of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Zhixuan Huang
- School of Mathematical Sciences, Tongji University, Shanghai, People's Republic of China
| | - Luhong Bao
- Department of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Chengjian Lv
- Department of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Huijuan Hao
- Department of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Yishu Xue
- Department of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Xin Zhou
- Department of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Min Zhang
- Department of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
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10
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Xiao D, Chen Z, Wu S, Huang K, Xu J, Yang L, Xu Y, Zhang X, Bai C, Kang J, Ran P, Shen H, Wen F, Yao W, Sun T, Shan G, Yang T, Lin Y, Zhu J, Wang R, Shi Z, Zhao J, Ye X, Song Y, Wang Q, Hou G, Zhou Y, Li W, Ding L, Wang H, Chen Y, Guo Y, Xiao F, Lu Y, Peng X, Zhang B, Wang Z, Zhang H, Bu X, Zhang X, An L, Zhang S, Cao Z, Zhan Q, Yang Y, Liang L, Liu Z, Zhang X, Cheng A, Cao B, Dai H, Chung KF, He J, Wang C. Prevalence and risk factors of small airway dysfunction, and association with smoking, in China: findings from a national cross-sectional study. THE LANCET. RESPIRATORY MEDICINE 2020; 8:1081-1093. [PMID: 32598906 DOI: 10.1016/s2213-2600(20)30155-7] [Citation(s) in RCA: 95] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 03/17/2020] [Accepted: 03/19/2020] [Indexed: 02/05/2023]
Abstract
BACKGROUND Small airway dysfunction is a common but neglected respiratory abnormality. Little is known about its prevalence, risk factors, and prognostic factors in China or anywhere else in the world. We aimed to estimate the prevalence of small airway dysfunction using spirometry before and after bronchodilation, both overall and in specific population subgroups; assess its association with a range of lifestyle and environmental factors (particularly smoking); and estimate the burden of small airway dysfunction in China. METHODS From June, 2012, to May, 2015, the nationally representative China Pulmonary Health study invited 57 779 adults to participate using a multistage stratified sampling method from ten provinces (or equivalent), and 50 479 patients with valid lung function testing results were included in the analysis. We diagnosed small airway dysfunction on the basis of at least two of the following three indicators of lung function being less than 65% of predicted: maximal mid-expiratory flow, forced expiratory flow (FEF) 50%, and FEF 75%. Small airway dysfunction was further categorised into pre-small airway dysfunction (defined as having normal FEV1 and FEV1/forced vital capacity [FVC] ratio before bronchodilator inhalation), and post-small airway dysfunction (defined as having normal FEV1 and FEV1/FVC ratio both before and after bronchodilator inhalation). Logistic regression yielded adjusted odds ratios (ORs) for small airway dysfunction associated with smoking and other lifestyle and environmental factors. We further estimated the total number of cases of small airway dysfunction in China by applying present study findings to national census data. FINDINGS Overall the prevalence of small airway dysfunction was 43·5% (95% CI 40·7-46·3), pre-small airway dysfunction was 25·5% (23·6-27·5), and post-small airway dysfunction was 11·3% (10·3-12·5). After multifactor regression analysis, the risk of small airway dysfunction was significantly associated with age, gender, urbanisation, education level, cigarette smoking, passive smoking, biomass use, exposure to high particulate matter with a diameter less than 2·5 μm (PM2·5) concentrations, history of chronic cough during childhood, history of childhood pneumonia or bronchitis, parental history of respiratory diseases, and increase of body-mass index (BMI) by 5 kg/m2. The ORs for small airway dysfunction and pre-small airway dysfunction were similar, whereas larger effect sizes were generally seen for post-small airway dysfunction than for either small airway dysfunction or pre-small airway dysfunction. For post-small airway dysfunction, cigarette smoking, exposure to PM2·5, and increase of BMI by 5 kg/m2 were significantly associated with increased risk, among preventable risk factors. There was also a dose-response association between cigarette smoking and post-small airway dysfunction among men, but not among women. We estimate that, in 2015, 426 (95% CI 411-468) million adults had small airway dysfunction, 253 (238-278) million had pre-small airway dysfunction, and 111 (104-126) million had post-small airway dysfunction in China. INTERPRETATION In China, spirometry-defined small airway dysfunction is highly prevalent, with cigarette smoking being a major modifiable risk factor, along with PM2·5 exposure and increase of BMI by 5 kg/m2. Our findings emphasise the urgent need to develop and implement effective primary and secondary prevention strategies to reduce the burden of this condition in the general population. FUNDING Ministry of Science and Technology of China; National Natural Science Foundation of China; National Health Commission of China.
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Affiliation(s)
- Dan Xiao
- Tobacco Medicine and Tobacco Cessation Center, China-Japan Friendship Hospital, Beijing, China; WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China; National Clinical Research Center for Respiratory Diseases, Beijing, China; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Sinan Wu
- Data and Project Management Unit, China-Japan Friendship Hospital, Beijing, China; Center of Respiratory Medicine, and Data and Project Management Unit, Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, China; National Clinical Research Center for Respiratory Diseases, Beijing, China; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Kewu Huang
- Beijing Key Laboratory of Respiratory and Pulmonary Circulation Disorders, Department of Pulmonary and Critical Care Medicine, Capital Medical University, Beijing, China; Beijing Institute of Respiratory Medicine, Beijing, China
| | - Jianying Xu
- Department of Pulmonary and Critical Care Medicine, Shanxi Bethune Hospital Shanxi Academy of Medical Sciences, Taiyuan, China
| | - Lan Yang
- 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
| | - 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 Pulmonary 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
| | - Wanzhen Yao
- Department of Pulmonary 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, China
| | - Guangliang Shan
- Institute of Basic Medical Sciences, School of Basic Medicine, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Ting Yang
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Clinical Research Center for Respiratory Diseases, Beijing, China; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China; Beijing Chao-Yang Hospital, Department of Respiratory Medicine, Capital Medical University, Beijing, China
| | - Yingxiang Lin
- Beijing Key Laboratory of Respiratory and Pulmonary Circulation Disorders, Department of Pulmonary and Critical Care Medicine, Capital Medical University, Beijing, China; Beijing Institute of Respiratory Medicine, Beijing, China
| | - Jianguo Zhu
- National Center of Gerontology, Beijing, China
| | - Ruiying Wang
- Department of Pulmonary and Critical Care Medicine, Shanxi Bethune Hospital Shanxi Academy of Medical Sciences, Taiyuan, China
| | - Zhihong Shi
- 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
| | - 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
| | - Gang Hou
- 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 Pulmonary and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Liren Ding
- Department of Pulmonary and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Hao Wang
- State Key Laboratory of Biotherapy of China and Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Yahong Chen
- Department of Pulmonary 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, China
| | - Fei Xiao
- National Center of Gerontology, Beijing, China
| | - Yong Lu
- Beijing Key Laboratory of Respiratory and Pulmonary Circulation Disorders, Department of Pulmonary and Critical Care Medicine, Capital Medical University, Beijing, China; Beijing Institute of Respiratory Medicine, Beijing, China
| | - Xiaoxia Peng
- Clinical Epidemiology and Evidence-based Medicine, Capital Medical University, Beijing, China; Beijing Children's Hospital, National Center for Children's Health, Beijing, China
| | - Biao Zhang
- Institute of Basic Medical Sciences, School of Basic Medicine, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Zuomin Wang
- Department of Stomatology, Capital Medical University, Beijing, China
| | - Hong Zhang
- Beijing Key Laboratory of Respiratory and Pulmonary Circulation Disorders, Department of Pulmonary and Critical Care Medicine, Capital Medical University, Beijing, China; Beijing Institute of Respiratory Medicine, Beijing, China
| | - Xiaoning Bu
- Beijing Key Laboratory of Respiratory and Pulmonary Circulation Disorders, Department of Pulmonary and Critical Care Medicine, Capital Medical University, Beijing, China; Beijing Institute of Respiratory Medicine, Beijing, China
| | - Xiaolei Zhang
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Clinical Research Center for Respiratory Diseases, Beijing, China; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China; Beijing Chao-Yang Hospital, Department of Respiratory Medicine, Capital Medical University, Beijing, China
| | - Li An
- Beijing Key Laboratory of Respiratory and Pulmonary Circulation Disorders, Department of Pulmonary and Critical Care Medicine, 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, Capital Medical University, Beijing, China; Beijing Institute of Respiratory Medicine, Beijing, China
| | - Zhixin Cao
- Beijing Key Laboratory of Respiratory and Pulmonary Circulation Disorders, Department of Pulmonary and Critical Care Medicine, Capital Medical University, Beijing, China; Beijing Institute of Respiratory Medicine, Beijing, China
| | - Qingyuan Zhan
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Clinical Research Center for Respiratory Diseases, Beijing, China; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China; Beijing Chao-Yang Hospital, Department of Respiratory Medicine, Capital Medical University, Beijing, China
| | - Yuanhua Yang
- Beijing Key Laboratory of Respiratory and Pulmonary Circulation Disorders, Department of Pulmonary and Critical Care Medicine, Capital Medical University, Beijing, China; Beijing Institute of Respiratory Medicine, Beijing, China
| | - Lirong Liang
- Department of Epidemiology, Capital Medical University, Beijing, China; Beijing Institute of Respiratory Medicine, Beijing, China
| | - Zhao Liu
- Tobacco Medicine and Tobacco Cessation Center, China-Japan Friendship Hospital, Beijing, China; WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China; National Clinical Research Center for Respiratory Diseases, Beijing, China; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Xinran Zhang
- Data and Project Management Unit, China-Japan Friendship Hospital, Beijing, China; Center of Respiratory Medicine, and Data and Project Management Unit, Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, China; National Clinical Research Center for Respiratory Diseases, Beijing, China; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Anqi Cheng
- Tobacco Medicine and Tobacco Cessation Center, China-Japan Friendship Hospital, Beijing, China; WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China; National Clinical Research Center for Respiratory Diseases, Beijing, China; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Bin Cao
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Clinical Research Center for Respiratory Diseases, Beijing, China; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China; Beijing Chao-Yang Hospital, Department of Respiratory Medicine, Capital Medical University, Beijing, China
| | - Huaping Dai
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Clinical Research Center for Respiratory Diseases, Beijing, China; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China; Beijing Chao-Yang Hospital, Department of Respiratory Medicine, Capital Medical University, Beijing, China
| | - Kian Fan Chung
- National Heart and Lung Institute, Imperial College London and Royal Brompton and Harefield NHS Trust, London, UK
| | - 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, China-Japan Friendship Hospital, Beijing, China; WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China; National Clinical Research Center for Respiratory Diseases, Beijing, China; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China; Beijing Chao-Yang Hospital, Department of Respiratory Medicine, Capital Medical University, Beijing, China.
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11
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Gu Y, He W, Wang Y, Chen J, Wang H, Gao P, Yang S, Zhu X, Ma W, Li T. Respiratory effects induced by occupational exposure to refractory ceramic fibers. J Appl Toxicol 2020; 41:421-441. [DOI: 10.1002/jat.4053] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 07/19/2020] [Accepted: 08/06/2020] [Indexed: 01/04/2023]
Affiliation(s)
- Yishuo Gu
- Department of Occupational and Environmental Health Sciences, School of Public Health Peking University Beijing China
| | - Wei He
- Department of Occupational and Environmental Health Sciences, School of Public Health Peking University Beijing China
| | - Yanhua Wang
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention Beijing China
| | - Juan Chen
- Department of Occupational and Environmental Health Sciences, School of Public Health Peking University Beijing China
| | - Hongfei Wang
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention Beijing China
| | - Panjun Gao
- Department of Occupational and Environmental Health Sciences, School of Public Health Peking University Beijing China
| | - Siwen Yang
- Department of Occupational and Environmental Health Sciences, School of Public Health Peking University Beijing China
| | - Xiaojun Zhu
- Beijing Institute of Occupational Disease Prevention and Treatment Beijing China
| | - Wenjun Ma
- Department of Occupational and Environmental Health Sciences, School of Public Health Peking University Beijing China
| | - Tao Li
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention Beijing China
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12
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Bonifazi M, Sverzellati N, Negri E, Pomponio G, Seletti V, Bonini M, Fraticelli P, Paolini L, Mattioli M, Franchi M, Tramacere I, Poletti V, La Vecchia C, Gasparini S, Gabrielli A. Increased prevalence of small airways dysfunction in patients with systemic sclerosis as determined by impulse oscillometry. Rheumatology (Oxford) 2020; 59:641-649. [PMID: 31436799 DOI: 10.1093/rheumatology/kez340] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Revised: 04/15/2019] [Indexed: 01/17/2023] Open
Abstract
OBJECTIVES The prevalence and clinical implications of small airways involvement in SSc are still to be fully elucidated. The goal of the present work is to assess the prevalence of small airways dysfunction by impulse oscillometry and to determine whether it correlates with selected disease-related features and respiratory-related quality of life. METHODS Ninety-four SSc patients and 93 healthy controls were studied by impulse oscillometry measurements. Small airways dysfunction was defined as the difference between resistance at low frequency, i.e. 5 Hz, and resistance at high frequency, i.e. 20 Hz, termed 'R5-R20', ⩾0.07 kPa/l/s. The St George's Respiratory Questionnaire was used to measure health impairment in SSc patients. Radiological features of small airways disease and parenchymal abnormalities on high resolution CT chest scans were jointly assessed by two thoracic radiologists. RESULTS Small airways dysfunction was present in 21.5% of the SSc patient cohort, with a prevalence almost 5-fold higher compared with controls, and it was significantly associated with worse respiratory-related quality of life. Radiological features consistent with small airways abnormalities were detected in 25% of SSc patients, mostly in the absence of interstitial lung changes. Combining functional and radiological evaluations, one-third of the SSc cohort showed at least one feature of small airways involvement, which was associated with the lcSSc phenotype and with longer disease duration. CONCLUSION The current study strengthens the hypothesis that small airway dysfunction might be a feature of SSc-related lung involvement, providing the first data on its significant impact on respiratory-related quality of life. A full assessment of lung function in SSc patients should include impulse oscillometry as a complementary technique, due to potential clinical and therapeutic implications.
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Affiliation(s)
- Martina Bonifazi
- Dipartimento di Scienze Biomediche e Sanità Pubblica, Università Politecnica delle Marche, Italy.,Unità Operativa di Pneumologia, Azienda Ospedaliero Universitaria "Ospedali Riuniti" - Ancona, Ancona, Italy
| | - Nicola Sverzellati
- Dipartimento di Medicina e Chirurgia, Università di Parma, Radiologia, Italy
| | - Eva Negri
- Dipartimento di Scienze Biomediche e Cliniche, "Luigi Sacco", Università degli Studi di Milano, Milano, Italy
| | - Giovanni Pomponio
- Clinica Medica, Dipartimento di Scienze Cliniche e Molecolari, Università Politecnica delle Marche, Ancona, Italy
| | - Valeria Seletti
- Dipartimento di Medicina e Chirurgia, Università di Parma, Radiologia, Italy
| | - Matteo Bonini
- National Heart and Lung Institute (NHLI), Imperial College London, London, UK.,Department of Cardiovascular and Thoracic Sciences, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy
| | - Paolo Fraticelli
- Clinica Medica, Dipartimento di Scienze Cliniche e Molecolari, Università Politecnica delle Marche, Ancona, Italy
| | - Luca Paolini
- Unità Operativa di Pneumologia, Azienda Ospedaliero Universitaria "Ospedali Riuniti" - Ancona, Ancona, Italy
| | - Massimo Mattioli
- Clinica Medica, Dipartimento di Scienze Cliniche e Molecolari, Università Politecnica delle Marche, Ancona, Italy
| | - Matteo Franchi
- Dipartimento di Statistica e Metodi Quantitativi, Divisione di Biostatistica, Epidemiologia e Salute Pubblica, Università di Milano-Bicocca, Milano, Italy
| | - Irene Tramacere
- Dipartimento Gestionale di Ricerca e Sviluppo Clinico, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Venerino Poletti
- Dipartimento Toracico, Ospedale GB Morgagni, Forlì, Italy.,Department of Respiratory Diseases and Allergology, Aarhus University Hospital, Aarhus, Denmark
| | - Carlo La Vecchia
- Dipartimento di Scienze Cliniche e Salute Pubblica, Università degli Studi di Milano, Milano, Italy
| | - Stefano Gasparini
- Dipartimento di Scienze Biomediche e Sanità Pubblica, Università Politecnica delle Marche, Italy.,Unità Operativa di Pneumologia, Azienda Ospedaliero Universitaria "Ospedali Riuniti" - Ancona, Ancona, Italy
| | - Armando Gabrielli
- Clinica Medica, Dipartimento di Scienze Cliniche e Molecolari, Università Politecnica delle Marche, Ancona, Italy
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13
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Zheng M, Hong W, Gao M, Yi E, Zhang J, Hao B, Liang C, Li X, Li C, Ye X, Liao B, He F, Zhou Y, Li B, Ran P. Long Noncoding RNA COPDA1 Promotes Airway Smooth Muscle Cell Proliferation in Chronic Obstructive Pulmonary Disease. Am J Respir Cell Mol Biol 2020; 61:584-596. [PMID: 31050548 DOI: 10.1165/rcmb.2018-0269oc] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Abnormal expression of long noncoding RNAs (lncRNAs) has been confirmed to be associated with many diseases, including chronic obstructive pulmonary disease (COPD). To gain better understanding of the mechanism of COPD, we investigated the lncRNA and mRNA profiles in the lung tissue of patients with COPD. According to the analysis, one of the significantly different lncRNAs, COPDA1, might participate in the occurrence and development of COPD. Lung tissues were collected from nonsmokers, smokers, or smokers with COPD for RNA sequencing. Bioinformatic analysis and cell experiments were used to define the function of COPDA1, and the effects of COPDA1 on intracellular Ca2+ concentration and cell proliferation were examined after knockdown or overexpression of COPDA1. A number of variations of lncRNAs were found in the comparison of nonsmokers, smokers, and smokers with COPD. GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway analyses indicated that smoking was involved in the activation of cytokines and the cell cycle, which is associated with COPD. According to the lncRNA-mRNA-coexpressing network and enrichment analysis, COPDAz1 and one of its target genes, MS4A1 (membrane-spanning 4-domains family, subfamily A) were investigated, and we discovered that the expression of MS4A1 was closely associated with lncRNA COPDA1 expression in human bronchial smooth muscle cells (HBSMCs). Further study showed that lncRNA COPDA1 upregulated the expression of MS4A1 to increase store-operated calcium entry in the HBSMCs, resulting in the promotion of the proliferation of smooth muscle cells as well as of airway remodeling. COPDA1 might be involved in the regulation of certain signaling pathways in COPD, might promote the proliferation of HBSMCs, and might also be involved in facilitating airway remodeling.
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Affiliation(s)
- Mengning Zheng
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Diseases, Guanzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University Guangzhou, Guangdong, China.,GMU-GIBH Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, Guangdong, China.,Department of Respiratory and Critical Care Medicine, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China
| | - Wei Hong
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Diseases, Guanzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University Guangzhou, Guangdong, China.,GMU-GIBH Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Mi Gao
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Diseases, Guanzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University Guangzhou, Guangdong, China.,GMU-GIBH Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Erkang Yi
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Diseases, Guanzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University Guangzhou, Guangdong, China
| | - Jiahuan Zhang
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Diseases, Guanzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University Guangzhou, Guangdong, China
| | - Binwei Hao
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Diseases, Guanzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University Guangzhou, Guangdong, China
| | - Chunxiao Liang
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Diseases, Guanzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University Guangzhou, Guangdong, China
| | - Xing Li
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Diseases, Guanzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University Guangzhou, Guangdong, China
| | - Chenglong Li
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Diseases, Guanzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University Guangzhou, Guangdong, China
| | - Xiuqin Ye
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Diseases, Guanzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University Guangzhou, Guangdong, China
| | - Baoling Liao
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Diseases, Guanzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University Guangzhou, Guangdong, China
| | - Fang He
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Diseases, Guanzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University Guangzhou, Guangdong, China.,School of Basic Medical Sciences, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Yumin Zhou
- State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Diseases, Guanzhou Institute of Respiratory Health, The First Affiliated Hospital of 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 Diseases, National Clinical Research Center for Respiratory Diseases, Guanzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University Guangzhou, Guangdong, China
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14
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Bessa EJC, Ribeiro FDMC, Pinheiro GDRC, Lopes AJ. Does the nitrogen single-breath washout test contribute to detecting pulmonary involvement in rheumatoid arthritis? A pilot study. BMC Res Notes 2019; 12:730. [PMID: 31699130 PMCID: PMC6836485 DOI: 10.1186/s13104-019-4767-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Accepted: 10/29/2019] [Indexed: 01/23/2023] Open
Abstract
Objective There has been growing interest in studying small airway disease through measures of ventilation distribution, thanks to the resurgence of the nitrogen single-breath washout (N2SBW) test. Therefore, this study evaluated the contribution of the N2SBW test to the detection of pulmonary involvement in patients with rheumatoid arthritis (RA). Results Twenty-one patients with RA underwent clinical evaluation, pulmonary function tests (PFTs), including the N2SBW test, and computed tomography (CT). The main tomographic findings were air trapping and bronchiectasis (57.1% and 23.8% of cases, respectively). According to the phase III slope of the N2SBW (phase III slope), 11 and 10 patients had values < 120% predicted and > 120% predicted, respectively. Five patients with limited involvement on CT had a phase III slope > 120%. The residual volume/total lung capacity ratio was significantly different between patients with phase III slopes < 120% and > 120% (P = 0.024). Additionally, rheumatoid factor positivity was higher in patients with a phase III slope > 120% (P = 0.021). In patients with RA and airway disease on CT, the N2SBW test detects inhomogeneity in the ventilation distribution in approximately half of the cases, even in those with normal conventional PFT results.
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Affiliation(s)
- Elizabeth Jauhar Cardoso Bessa
- Postgraduate Programme in Medical Sciences, School of Medical Sciences, State University of Rio de Janeiro (UERJ), Boulevard 28 de Setembro, 77, Vila Isabel, Rio de Janeiro, 20551-030, Brazil
| | | | - Geraldo da Rocha Castelar Pinheiro
- Postgraduate Programme in Medical Sciences, School of Medical Sciences, State University of Rio de Janeiro (UERJ), Boulevard 28 de Setembro, 77, Vila Isabel, Rio de Janeiro, 20551-030, Brazil
| | - Agnaldo José Lopes
- Postgraduate Programme in Medical Sciences, School of Medical Sciences, State University of Rio de Janeiro (UERJ), Boulevard 28 de Setembro, 77, Vila Isabel, Rio de Janeiro, 20551-030, Brazil. .,Rehabilitation Sciences Postgraduate Programme, Augusto Motta University Centre (UNISUAM), Rua Dona Isabel, 94, Bonsucesso, Rio de Janeiro, 21032-060, Brazil. .,, Rua Araguaia, 1266, Bloco 1/405, Freguesia/Jacarepaguá, Rio de Janeiro, RJ, 22745-271, Brazil.
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15
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Dynamics of exhaled breath temperature after smoking a cigarette and its association with lung function changes predictive of COPD risk in smokers: a cross-sectional study. Arh Hig Rada Toksikol 2019; 70:123-129. [PMID: 31246566 DOI: 10.2478/aiht-2019-70-3211] [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: 10/01/2018] [Accepted: 05/01/2019] [Indexed: 12/26/2022] Open
Abstract
Exhaled breath temperature (EBT) is a biomarker of inflammation and vascularity of the airways already shown to predict incident COPD. This cross-sectional study was aimed to assess the potential of EBT in identifying "healthy" smokers susceptible to cigarette smoke toxicity of the airways and to the risk of developing COPD by analysing the dynamics of EBT after smoking a cigarette and its associations with their demographics (age, smoking burden) and lung function. The study included 55 current smokers of both sexes, 29-62 years of age, with median smoking exposure of 15 (10-71.8) pack-years. EBT was measured at baseline and 5, 15, 30, 45, and 60 min after smoking a single cigarette. Lung function was measured with spirometry followed by a bronchodilator test. To compare changes in EBT between repeated measurements we used the analysis of variance and the area under the curve (EBTAUC) as a dependent variable. Multivariate regression analysis was used to look for associations with patient characteristics and lung function in particular. The average (±SD) baseline EBT was 33.42±1.50 °C. The highest significant increase to 33.84 (1.25) °C was recorded 5 min after the cigarette was smoked (p=0.003), and it took one hour for it to return to the baseline. EBTAUC showed significant repeatability (ICC=0.85, p<0.001) and was significantly associated with age, body mass index, number of cigarettes smoked a day, baseline EBT, and baseline FEF75 (R2=0.39, p<0.001 for the model). Our results suggest that EBT after smoking a single cigarette could be used as early risk predictor of changes associated with chronic cigarette smoke exposure.
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16
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Abstract
Introduction: Spirometry, the most common lung function test, is used to evaluate individuals with respiratory complaints or known respiratory disease. However, its underutilization and the misinterpretation of its parameters are causes for concern. Areas covered: This review describes new spirometry-derived metrics, new reference equations, recent recommendations for presentation of results, recent spirometry-based prevalence studies, and technological advances in spirometry equipment. Expert opinion: The underutilization of spirometry can be overcome by increasing access to portable, hand-held, and user-friendly spirometers, together with strategies that increase awareness of the importance of spirometry. New metrics derived from spirometry, together with traditional spirometric criteria, can identify individuals with structural lung disease and respiratory morbidity. Some problems with the reference equations were solved by the Global Lung Function Initiative (GLI), which covers a wider age range and more ethnic groups and provides limits of normality using the z-score. Despite these advantages, the GLI equations lack data from large populations (especially those from Africa, South Asia, and Latin America) and greater representation of older people. Another disadvantage attributed to the GLI is the lack of predicted values for peak expiratory flow and other airflows, limiting the interpretation of the maximal expiratory flow-volume curve.
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Affiliation(s)
- Agnaldo José Lopes
- a Medical Sciences , State University of Rio de Janeiro , Rio de Janeiro , Brazil.,b Rehabilitation Sciences , Augusto Motta University Center , Rio de Janeiro , Brazil
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17
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Basile M, Baiamonte P, Mazzuca E, Principe S, Pennavaria F, Benfante A, Scichilone N. Sleep Disturbances in COPD are Associated with Heterogeneity of Airway Obstruction. COPD 2018; 15:350-354. [PMID: 30188194 DOI: 10.1080/15412555.2018.1504015] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Individuals with Chronic Obstructive Pulmonary Disease (COPD) experience sleep disturbances due to the impact of respiratory symptoms on sleep quality. We explored whether sleep disturbances in COPD are linked to heterogeneity of airway constriction. The impact of breathing problems on sleep quality was measured in consecutive COPD outpatients with the COPD and Asthma Sleep Impact Scale (CASIS) questionnaire. Impulse oscillometry technique (IOS) was employed to assess heterogeneity of airway constriction. Subjects with a previous or concomitant diagnosis of asthma or obstructive sleep apnea (OSA) were excluded. Fifty COPD subjects (M/F 40/10; age: 71 ± 8 yrs, Body Mass Index (BMI): 26.2 ± 4.7 kg/m2, Forced Expiratory Volume in the first second (FEV1): 65 ± 25% predicted; mean ± SD) were enrolled. The mean CASIS score was 36 ± 3.3, and the R5-R20 value was 0.2 ± 0.15 kPa s L-1. The CASIS score was significantly higher in subjects with increased R5-R20 (>0.07 kPa s L-1) (39 ± 24; p = 0.02) compared to normal R5-R20 (21 ± 17). When subjects were categorized on the basis of lung function in severely versus non severely obstructed (FEV1 ≤ or >50% predicted) or air trappers versus non air trappers (Residual Volume, RV ≥ or <120% predicted) the CASIS score remained unchanged (for FEV1: 37 ± 23 versus 33 ± 25, respectively, p = 0.61; for RV: 30 ± 20 versus 40 ± 23, p = 0.16). Sleep disturbances due to COPD symptoms are associated with heterogeneity of airway constriction, possibly reflecting peripheral airway dysfunction.
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Affiliation(s)
- Marco Basile
- a Dipartimento Biomedico di Medicina Interna e Specialistica (Di.Bi.MIS) , University of Palermo . Palermo , Italy
| | - Pierpaolo Baiamonte
- a Dipartimento Biomedico di Medicina Interna e Specialistica (Di.Bi.MIS) , University of Palermo . Palermo , Italy
| | - Emilia Mazzuca
- a Dipartimento Biomedico di Medicina Interna e Specialistica (Di.Bi.MIS) , University of Palermo . Palermo , Italy
| | - Stefania Principe
- a Dipartimento Biomedico di Medicina Interna e Specialistica (Di.Bi.MIS) , University of Palermo . Palermo , Italy
| | - Federica Pennavaria
- a Dipartimento Biomedico di Medicina Interna e Specialistica (Di.Bi.MIS) , University of Palermo . Palermo , Italy
| | - Alida Benfante
- a Dipartimento Biomedico di Medicina Interna e Specialistica (Di.Bi.MIS) , University of Palermo . Palermo , Italy
| | - Nicola Scichilone
- a Dipartimento Biomedico di Medicina Interna e Specialistica (Di.Bi.MIS) , University of Palermo . Palermo , Italy
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