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Lin P, Shen C, Li Q, Huang Y, Zhou J, Lu Y, He A, Liu X, Luo M. A systematic review and meta-analysis of chronic obstructive pulmonary disease in asia: risk factors for readmission and readmission rate. BMC Pulm Med 2024; 24:388. [PMID: 39129020 PMCID: PMC11318323 DOI: 10.1186/s12890-024-03203-6] [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: 01/31/2024] [Accepted: 08/07/2024] [Indexed: 08/13/2024] Open
Abstract
BACKGROUND Patients with chronic obstructive pulmonary disease (COPD) often require hospital readmission because of exacerbation of their condition. These frequent exacerbations reduce quality of life, work performance, and emotional health. However, few studies have investigated the risk factors for readmission and readmission rates in Asian patients with COPD. We conducted a systematic review to identify and understand the major risk factors for readmission in patients with COPD in Asia and the readmission rate. METHOD We searched PubMed, MEDLINE, Embase, China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform, and China Biomedical Literature Database from database inception to September 2023 to identify studies on the readmission rate and risk factors for COPD in Asian patients. Chinese search terms included "COPD," "chronic obstructive pulmonary disease," "risk factors," "recurrence," "readmission," and "acute exacerbation." English search terms included "chronic obstructive pulmonary disease," "COPD," "lung emphysema," "hospital admission," "patient readmission," and "readmission." We extracted first author, publication year, research area, sample size, sex, risk factors, and readmission rates. The included studies' quality was evaluated using the Agency of Healthcare Research and Quality. Meta-synthesis was conducted on readmission rates and risk factors for readmission. Subgroups were formed by age, research area, sample size, and research type, and meta-regression analysis was conducted on the 30-day, 90-day, and 365-day readmission rates of patients to determine the source of heterogeneity. Finally, the results' robustness was evaluated using sensitivity analysis. Begg and Egger tests were used to evaluate publication bias. RESULTS Meta-analysis of 44 studies, with 169,255 participants, indicated that risk factors for COPD readmission in Asia included: history of multiple hospital admissions, ≥ 3 comorbidities, male sex, ratio of eosinophils percentage ≥ 2%, body mass index < 18.5, smoking history, pulmonary heart disease comorbidity, COPD assessment test score > 20, nutritional disorder, Neutrophil-to-Lymphocyte ratio > 7, and FEV1 < 50. The 30-, 90-, and 365-day readmission rates of patients were 19%, 31%, and 42%, respectively. CONCLUSIONS Patients with COPD in Asia generally have high readmission rates and different risk factors. To reduce healthcare, economic, and social burdens, interventions should address major risk factors, early prevention, and screening.
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Affiliation(s)
- Ping Lin
- Guilin Medical University, Guilin Medical College, 20 Lequn Road, Lequn Campus, Guilin, Guangxi, China
| | - Chuncheng Shen
- Guilin Medical University, Guilin Medical College, 20 Lequn Road, Lequn Campus, Guilin, Guangxi, China
| | - Qiuping Li
- Guilin Medical University, Guilin Medical College, 20 Lequn Road, Lequn Campus, Guilin, Guangxi, China
| | - Yingrui Huang
- Guilin Medical University, Guilin Medical College, 20 Lequn Road, Lequn Campus, Guilin, Guangxi, China
| | - Jiatong Zhou
- Guilin Medical University, Guilin Medical College, 20 Lequn Road, Lequn Campus, Guilin, Guangxi, China
| | - Yanfei Lu
- Guilin Medical University, Guilin Medical College, 20 Lequn Road, Lequn Campus, Guilin, Guangxi, China
| | - Anxin He
- Guilin Medical University, Guilin Medical College, 20 Lequn Road, Lequn Campus, Guilin, Guangxi, China
| | - Xiang Liu
- Guilin Medical University, Guilin Medical College, 20 Lequn Road, Lequn Campus, Guilin, Guangxi, China
| | - Miao Luo
- Affiliated Hospital of Guilin Medical University, Guilin Medical College, 20 Lequn Road, Lequn Campus, Guilin, Guangxi, China.
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Chow R, So OW, Im JHB, Chapman KR, Orchanian-Cheff A, Gershon AS, Wu R. Predictors of Readmission, for Patients with Chronic Obstructive Pulmonary Disease (COPD) - A Systematic Review. Int J Chron Obstruct Pulmon Dis 2023; 18:2581-2617. [PMID: 38022828 PMCID: PMC10664718 DOI: 10.2147/copd.s418295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 08/08/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction Chronic obstructive pulmonary disease (COPD) is the third-leading cause of death globally and is responsible for over 3 million deaths annually. One of the factors contributing to the significant healthcare burden for these patients is readmission. The aim of this review is to describe significant predictors and prediction scores for all-cause and COPD-related readmission among patients with COPD. Methods A search was conducted in Ovid MEDLINE, Ovid Embase, Cochrane Database of Systematic Reviews, and Cochrane Central Register of Controlled Trials, from database inception to June 7, 2022. Studies were included if they reported on patients at least 40 years old with COPD, readmission data within 1 year, and predictors of readmission. Study quality was assessed. Significant predictors of readmission and the degree of significance, as noted by the p-value, were extracted for each study. This review was registered on PROSPERO (CRD42022337035). Results In total, 242 articles reporting on 16,471,096 patients were included. There was a low risk of bias across the literature. Of these, 153 studies were observational, reporting on predictors; 57 studies were observational studies reporting on interventions; and 32 were randomized controlled trials of interventions. Sixty-four significant predictors for all-cause readmission and 23 for COPD-related readmission were reported across the literature. Significant predictors included 1) pre-admission patient characteristics, such as male sex, prior hospitalization, poor performance status, number and type of comorbidities, and use of long-term oxygen; 2) hospitalization details, such as length of stay, use of corticosteroids, and use of ventilatory support; 3) results of investigations, including anemia, lower FEV1, and higher eosinophil count; and 4) discharge characteristics, including use of home oxygen and discharge to long-term care or a skilled nursing facility. Conclusion The findings from this review may enable better predictive modeling and can be used by clinicians to better inform their clinical gestalt of readmission risk.
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Affiliation(s)
- Ronald Chow
- University Health Network, University of Toronto, Toronto, ON, Canada
| | - Olivia W So
- University Health Network, University of Toronto, Toronto, ON, Canada
| | - James H B Im
- The Hospital for Sick Children, Toronto, ON, Canada
| | - Kenneth R Chapman
- University Health Network, University of Toronto, Toronto, ON, Canada
| | | | - Andrea S Gershon
- Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Robert Wu
- University Health Network, University of Toronto, Toronto, ON, Canada
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Yayan J, Rasche K. Risk Factors for Depression in Patients with Chronic Obstructive Pulmonary Disease. Respir Physiol Neurobiol 2023:104110. [PMID: 37393968 DOI: 10.1016/j.resp.2023.104110] [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: 01/03/2023] [Revised: 06/15/2023] [Accepted: 06/29/2023] [Indexed: 07/04/2023]
Abstract
Depression, anxiety, and panic disorders are common in chronic obstructive pulmonary disease (COPD) and important for the further course of the disease, as they are associated with increased hospital admissions, longer hospital stays, more frequent doctor visits, and a worsened quality of life. There are also indications of premature death in affected patients. Therefore, knowledge of the risk factors for depression in COPD patients is all the more important for early detection and treatment. Hence, Embase, the Cochrane Library, and the MEDLINE/PubMed databases were analyzed for studies on these risk factors. The main factors are as follows: female gender; older/younger age; living alone; higher education; unemployment; retirement; a low quality of life; social isolation; high/low income; high cigarette and alcohol consumption; poor physical fitness; severe respiratory symptoms; high/low body mass index, airway obstruction, dyspnea, exercise capacity index scores; and comorbidities (mainly heart disease, cancer, diabetes, and stroke). This article presents the analyzed medical literature.
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Affiliation(s)
- Josef Yayan
- Department of Internal Medicine, Division of Pulmonary, Allergy and Sleep Medicine, HELIOS Clinic Wuppertal, Witten/Herdecke University, Witten, Germany.
| | - Kurt Rasche
- Department of Internal Medicine, Division of Pulmonary, Allergy and Sleep Medicine, HELIOS Clinic Wuppertal, Witten/Herdecke University, Witten, Germany
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Ruan H, Zhang H, Wang J, Zhao H, Han W, Li J. Readmission rate for acute exacerbation of chronic obstructive pulmonary disease: A systematic review and meta-analysis. Respir Med 2023; 206:107090. [PMID: 36528962 DOI: 10.1016/j.rmed.2022.107090] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 12/04/2022] [Accepted: 12/11/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND The readmission rate following hospitalization for chronic obstructive pulmonary disease (COPD) exacerbations is extremely high and has become a common and challenging clinical problem. This study aimed to systematically summarize COPD readmission rates for acute exacerbations and their underlying risk factors. METHODS A comprehensive search was performed using PubMed, Embase, Cochrane Library, and Web of Science, published from database inception to April 2, 2022. Methodological quality was evaluated using the Newcastle-Ottawa Scale (NOS). We used a random-effects model or a fixed-effects model to estimate the pooled COPD readmission rate for acute exacerbations and underlying risk factors. RESULTS A total of 46 studies were included, of which 24, 7, 17, 7, and 20 summarized the COPD readmission rates for acute exacerbations within 30, 60, 90, 180, and 365 days, respectively. The pooled 30-, 60-, 90-, 180-, and 365-day readmission rates were 11%, 17%, 17%, 30%, and 37%, respectively. The study design type, age stage, WHO region, and length of stay (LOS) were initially considered to be sources of heterogeneity. We also identified potential risk factors for COPD readmission, including male sex, number of hospitalizations in the previous year, LOS, and comorbidities such as heart failure, tumor or cancer, and diabetes, whereas obesity was a protective factor. CONCLUSIONS Patients with COPD had a high readmission rate for acute exacerbations, and potential risk factors were identified. Therefore, we should propose clinical interventions and adjust or targeted the control of avoidable risk factors to prevent and reduce the negative impact of COPD readmission. SYSTEMATIC REVIEW REGISTRATION PROSPERO, identifier CRD42022333581.
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Affiliation(s)
- Huanrong Ruan
- Co-construction Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases by Henan & Education Ministry of PR China, Henan University of Chinese Medicine, Zhengzhou, Henan, 450046, PR China; Henan Key Laboratory of Chinese Medicine for Respiratory Disease, Henan University of Chinese Medicine, Zhengzhou, Henan, 450046, PR China
| | - Hailong Zhang
- Co-construction Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases by Henan & Education Ministry of PR China, Henan University of Chinese Medicine, Zhengzhou, Henan, 450046, PR China; Henan Key Laboratory of Chinese Medicine for Respiratory Disease, Henan University of Chinese Medicine, Zhengzhou, Henan, 450046, PR China; Department of Respiratory Diseases, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, 450003, PR China.
| | - Jiajia Wang
- Co-construction Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases by Henan & Education Ministry of PR China, Henan University of Chinese Medicine, Zhengzhou, Henan, 450046, PR China; Henan Key Laboratory of Chinese Medicine for Respiratory Disease, Henan University of Chinese Medicine, Zhengzhou, Henan, 450046, PR China; Department of Respiratory Diseases, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, 450003, PR China
| | - Hulei Zhao
- Co-construction Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases by Henan & Education Ministry of PR China, Henan University of Chinese Medicine, Zhengzhou, Henan, 450046, PR China; Henan Key Laboratory of Chinese Medicine for Respiratory Disease, Henan University of Chinese Medicine, Zhengzhou, Henan, 450046, PR China; Department of Respiratory Diseases, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, 450003, PR China
| | - Weihong Han
- Co-construction Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases by Henan & Education Ministry of PR China, Henan University of Chinese Medicine, Zhengzhou, Henan, 450046, PR China; Henan Key Laboratory of Chinese Medicine for Respiratory Disease, Henan University of Chinese Medicine, Zhengzhou, Henan, 450046, PR China
| | - Jiansheng Li
- Co-construction Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases by Henan & Education Ministry of PR China, Henan University of Chinese Medicine, Zhengzhou, Henan, 450046, PR China; Henan Key Laboratory of Chinese Medicine for Respiratory Disease, Henan University of Chinese Medicine, Zhengzhou, Henan, 450046, PR China; Department of Respiratory Diseases, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, 450003, PR China
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Liu D, Zou Y, Wang Y. Investigation on the Relationship between Sleep Quality and Depression and Anxiety in Hospitalized Patients with Different Levels of AECOPD. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:5901552. [PMID: 35535231 PMCID: PMC9078788 DOI: 10.1155/2022/5901552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 04/09/2022] [Accepted: 04/18/2022] [Indexed: 11/18/2022]
Abstract
Purpose To explore the correlations between sleep quality and depression and anxiety in hospitalized patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Methods A total of 131 AECOPD patients treated at No.6th People's Hospital affiliated to Shanghai Jiao Tong University School from January 2018 to December 2020 were selected and divided into the classes I (n = 30), II (n = 23), III (n = 37), and IV (n = 41) based on the severity of AECOPD. The Pittsburgh sleep quality index (PSQI) and the hospital anxiety and depression scale (HADS) were employed to assess the quality of sleep and anxiety/depression in AECOPD patients. The Pearson correlation analysis explored the associations between PSQI score and HADS anxiety/depression score. Binary logistic regression was utilized to determine risk factors for anxiety/depression in AECOPD patients. Results The PSQI score, HADS anxiety score, and HADS depression score in patients with AECOPD class III and class IV were significantly higher than those of classes I and II. The severe anxiety and depression ratio were significantly different among patients with classes I-IV AECOPD. The severity of AECOPD was significantly correlated with the PSQI score (r = 0.51, P < 0.001), HADS anxiety score (r = 0.66, P < 0.001), and HADS anxiety score (r = 0.65, P < 0.001). Binary logistic regression analysis showed that the COPD duration, the severity of AECOPD, and PSQI score were the risk factors for anxiety and depression in patients with AECOPD. Conclusions Poor sleep quality, anxiety, and depression are common in patients with AECOPD. Improvement of sleep quality may help to alleviate anxiety and depression in AECOPD patients.
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Affiliation(s)
- Dingfang Liu
- Department of Respiratory and Critical Care Medicine, No.6th People's Hospital Affiliated to Shanghai Jiao Tong University School, Shanghai 200233, China
| | - Ying Zou
- Department of Respiratory and Critical Care Medicine, No.6th People's Hospital Affiliated to Shanghai Jiao Tong University School, Shanghai 200233, China
| | - Yumei Wang
- Department of Respiratory and Critical Care Medicine, No.6th People's Hospital Affiliated to Shanghai Jiao Tong University School, Shanghai 200233, China
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Reychler G, Beaumont M, Latiers AC, Pieters T, Fremault A. Dyspnea could be accurately assessed by a caregiver in hospitalized patients with respiratory diseases: Interrater reliability and agreement study. Braz J Phys Ther 2021; 25:735-740. [PMID: 34119444 PMCID: PMC8721053 DOI: 10.1016/j.bjpt.2021.04.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Revised: 09/15/2020] [Accepted: 04/21/2021] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND The perception of dyspnea is a subjective feeling typically self-assessed by the patient. However, the assessment by a caregiver is sometimes required. OBJECTIVES The primary aim was to compare patient self-assessment and caregiver assessment of dyspnea (interrater reliability) using the modified Borg and visual analog scale (VAS) in hospitalized patients. The secondary aim was to compare dyspnea assessment between the two scales for patients and caregiver (inter-instrument reliability). METHODS Self-assessment of dyspnea intensity of hospitalized patients with respiratory diseases was compared with caregiver's assessment. Dyspnea intensity was measured using two scales, the modified Borg scale (0-10 scale) and the 10 cm VAS. Mean difference and 95% confidence interval (CI) between assessors (i.e. patient versus caregiver) were calculated for each scale. Inter- and intra-rater reliability was calculated using intraclass correlation coefficients (ICCs). RESULTS A total of 254 patients were recruited. The mean differences between patient and caregiver ratings were 0.31 (95% CI: 0.09, 0.53) for the modified Borg scale and 0.36 (95% CI: 0.06, 0.65) for the VAS scale. Interrater reliability was good for both scales with ICC of 0.79 (95% CI: 0.73, 0.84) for VAS and 0.82 (95% CI: 0.77, 0.86) for the modified Borg scale. The mean differences in scores between scales were 0.93 (95% CI 0.69, 1.17) for patients' ratings and 0.88 (95% CI 0.72, 1.04) for caregiver's rating. The inter-instrument reliability was moderate to good and similar for both assessors. CONCLUSION Dyspnea can be accurately estimated by caregivers when patients with lung diseases cannot self-report. Scores on the VAS to rate dyspnea were higher than the scores on the Borg scale.
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Affiliation(s)
- Gregory Reychler
- Institut de Recherche Expérimentale et Clinique (IREC), Pôle de Pneumologie, ORL and Dermatologie, Université Catholique de Louvain, Brussels, Belgium; Service de Pneumologie, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, Brussels 1200, Belgium; Secteur de Kinésithérapie et Ergothérapie, Cliniques Universitaires Saint-Luc, Brussels, Belgium.
| | - Marc Beaumont
- Service de Réhabilitation Respiratoire, Centre Hospitalier des Pays de Morlaix, Morlaix, France; EA3878 (GETBO), CHU Brest, Brest, France
| | - Anne-Claire Latiers
- Secteur de Kinésithérapie et Ergothérapie, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Thierry Pieters
- Institut de Recherche Expérimentale et Clinique (IREC), Pôle de Pneumologie, ORL and Dermatologie, Université Catholique de Louvain, Brussels, Belgium; Service de Pneumologie, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, Brussels 1200, Belgium
| | - Antoine Fremault
- Service de Pneumologie, Grand Hôpital de Charleroi, Charleroi, Belgium
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Gao E, Zhang C, Wang J. Effects of Budesonide Combined with Noninvasive Ventilation on PCT, sTREM-1, Chest Lung Compliance, Humoral Immune Function and Quality of Life in Patients with AECOPD Complicated with Type II Respiratory Failure. Open Med (Wars) 2019; 14:271-278. [PMID: 30886898 PMCID: PMC6419390 DOI: 10.1515/med-2019-0023] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 11/20/2018] [Indexed: 12/27/2022] Open
Abstract
Objective Our objective is to explore the effects of budesonide combined with noninvasive ventilation on procalcitonin (PCT), soluble myeloid cell triggering receptor-1 (sTREM-1), thoracic and lung compliance, humoral immune function, and quality of life in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) complicated with type II respiratory failure. Methods There were 82 patients with AECOPD complicated with type II respiratory failure admitted into our hospital between March, 2016-September, 2017. They were selected and randomly divided into observation group (n=41) and control group (n=41). The patients in the control group received noninvasive mechanical ventilation and the patients in the observation group received budesonide based on the control group. The treatment courses were both 10 days. Results The total effective rate in the observation group (90.25%) was higher than the control group (65.85%) (P<0.05). The scores of cough, expectoration, and dyspnea were decreased after treatment (Observation group: t=18.7498, 23.2195, 26.0043, control group: t=19.9456, 11.6261, 14.2881, P<0.05); the scores of cough, expectoration, and dyspnea in the observation group were lower than the control group after treatment (t=11.6205, 17.4139, 11.6484, P<0.05). PaO2 was increased and PaCO2 was decreased in both groups after treatment (Observation group: t=24.1385, 20.7360, control group: t=11.6606, 9.2268, P<0.05); PaO2 was higher and PaCO2 was lower in the observation group than the control group after treatment (t=10.3209, 12.0115, P<0.05). Serum PCT and sTREM-1 in both groups were decreased after treatment (Observation group: t=16.2174, 12.6698, control group: t=7.2283, 6.1634, P<0.05); serum PCT and sTREM-1 in the observation group were lower than the control group after treatment (t=10.1017, 7.8227, P<0.05). The thoracic and lung compliance in both groups were increased after treatment (Observation group: t=30.5359, 17.8471, control group: t=21.2426, 13.0007, P<0.05); the thoracic and lung compliance in the observation group were higher than the control group after treatment (t=10.8079, 5.9464, P<0.05). IgA and IgG in both groups were increased after treatment (Observation group: t=9.5794, 25.3274, control group: t=5.5000, 4.7943, P<0.05), however IgM was not statistically different after treatment (Observation group: t=0.7845, control group: t=0.1767, P>0.05); IgA and IgG in the observation group were higher than the control group (t=4.9190, 4.7943, P<0.05), however IgM was not statistically different between two groups after treatment (t=0.6168, P>0.05). COPD assessment test (CAT) scores were decreased in both groups after treatment (Observation group: t=20.6781, control group: t=9.0235, P<0.05); CAT score in the observation group was lower than the control group after treatment (t=12.9515, P<0.05). Forced expiratory volume in one second (FEV1%) and forced expiratory volume in one second/ forced expiratory volume in one second (FEV1/FVC) were increased in both groups after treatment (Observation group: t=15.3684, 15.9404, control group: t=10.6640, 12.8979, P<0.05); FEV1% and FEV1/FVC in the observation group were higher than the control group (t=6.9528, 7.3527,P<0.05). The rates of complication were not statistically different between two groups (P>0.05). Conclusion Budesonide combined with noninvasive mechanical ventilation has good curative effects in treating AECOPE patients complicated with type II respiratory failure. It can decrease serum PCT and sTREM-1, increase thoracic lung compliance, and improve the humoral immune function and life quality.
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Affiliation(s)
- Erxiang Gao
- Emergency Department, Xingyuan Hospital of Yulin, Shaanxi 719000, China
| | - Chi Zhang
- The Second Department of Internal Medicine, Xingyuan Hospital of Yulin, Shaanxi 719000, China
| | - Jianping Wang
- Department of Emergency, 1st Hospital of Yulin, Yulin City, Shaanxi Province 719000, China
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Underner M, Cuvelier A, Peiffer G, Perriot J, Jaafari N. Influence de l’anxiété et de la dépression sur les exacerbations au cours de la BPCO. Rev Mal Respir 2018; 35:604-625. [PMID: 29937312 DOI: 10.1016/j.rmr.2018.04.004] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Accepted: 01/13/2018] [Indexed: 02/05/2023]
Affiliation(s)
- M Underner
- Unité de recherche clinique, centre hospitalier Henri-Laborit, université de Poitiers, 370, avenue Jacques-Cœur CS 10587, 86021 Poitiers cedex, France.
| | - A Cuvelier
- Service de pneumologie, oncologie thoracique et soins intensifs respiratoires, centre hospitalier universitaire de Rouen, 76031 Rouen, France; Université de Rouen-Normandie, UPRES EA3830 groupe de recherche sur le handicap ventilatoire (GRHV), Institut de recherche et d'innovation biomédicale (IRIB), 76000 Rouen, France
| | - G Peiffer
- Service de pneumologie, centre hospitalier régional Metz-Thionville, 57038 Metz, France
| | - J Perriot
- Dispensaire Émile-Roux, centre de tabacologie, 63100 Clermont-Ferrand, France
| | - N Jaafari
- Unité de recherche clinique, centre hospitalier Henri-Laborit, université de Poitiers, 370, avenue Jacques-Cœur CS 10587, 86021 Poitiers cedex, France
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