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Storer B, Holden M, Kershaw KA, Braund TA, Chakouch C, Coleshill MJ, Haffar S, Harvey S, Sicouri G, Newby J, Murphy M. The prevalence of anxiety in respiratory and sleep diseases: A systematic review and meta-analysis. Respir Med 2024; 230:107677. [PMID: 38823565 DOI: 10.1016/j.rmed.2024.107677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 05/07/2024] [Accepted: 05/22/2024] [Indexed: 06/03/2024]
Abstract
BACKGROUND Anxiety is common in those with chronic physical health conditions and can have significant impacts on both quality of life and physical health outcomes. Despite this, there are limited studies comprehensively investigating the prevalence of anxiety in respiratory and sleep medicine settings. This systematic review and meta-analysis aims to provide insight into the global prevalence of anxiety symptoms/disorders in respiratory and sleep medicine outpatients. METHODS PubMed, Embase, Cochrane, PsycINFO and Google Scholar databases were searched from database inception to January 23, 2023 for studies assessing the prevalence of anxiety in adult (≥16 years) respiratory and sleep medicine outpatients. Data was screened and extracted independently by two investigators. Anxiety was measured using various self-report questionnaires, structured interviews, and/or patient records. Using CMA software for the meta-analysis, a random-effects model was used for pooled estimates, and subgroup analysis was conducted on relevant models using a mixed-effects model. RESULTS 116 studies were included, featuring 36,340 participants across 40 countries. The pooled prevalence of anxiety was 30.3 % (95%CI 27.9-32.9 %, 10,679/36,340). Subgroup analysis found a significant difference across type of condition, with pulmonary tuberculosis the highest at 43.1 % and COVID-19 outpatients the lowest at 23.4 %. No significant difference was found across anxiety types, country or age. Female sex and the use of self-report measures was associated with significantly higher anxiety estimates. CONCLUSIONS Anxiety is a common experience amongst patients in respiratory and sleep medicine outpatient settings. Thus, it is crucial that anxiety identification and management is considered by physicians in the field. REGISTRATION The protocol is registered in PROSPERO (CRD42021282416).
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Affiliation(s)
- Ben Storer
- Clinical Research Department, The Black Dog Institute, Sydney, Australia
| | - Monique Holden
- Clinical Research Department, The Black Dog Institute, Sydney, Australia
| | - Kelly Ann Kershaw
- Clinical Research Department, The Black Dog Institute, Sydney, Australia
| | - Taylor A Braund
- Clinical Research Department, The Black Dog Institute, Sydney, Australia; School of Clinical Medicine, Faculty of Medicine and Health, UNSW, Sydney, Australia
| | - Cassandra Chakouch
- Clinical Research Department, The Black Dog Institute, Sydney, Australia
| | | | - Sam Haffar
- Clinical Research Department, The Black Dog Institute, Sydney, Australia
| | - Samuel Harvey
- Clinical Research Department, The Black Dog Institute, Sydney, Australia; School of Clinical Medicine, Faculty of Medicine and Health, UNSW, Sydney, Australia
| | - Gemma Sicouri
- Clinical Research Department, The Black Dog Institute, Sydney, Australia; School of Psychology, Faculty of Science, UNSW, Sydney, Australia
| | - Jill Newby
- Clinical Research Department, The Black Dog Institute, Sydney, Australia; School of Psychology, Faculty of Science, UNSW, Sydney, Australia
| | - Michael Murphy
- Clinical Research Department, The Black Dog Institute, Sydney, Australia; School of Clinical Medicine, Faculty of Medicine and Health, UNSW, Sydney, Australia.
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Skovira CM, Pfoh E, Thompson A, Rish J. Closing the Mental Health Access Gap Through Novel Analytics. Cureus 2023; 15:e42093. [PMID: 37602116 PMCID: PMC10435285 DOI: 10.7759/cureus.42093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/18/2023] [Indexed: 08/22/2023] Open
Abstract
Depression and anxiety are associated with substantial morbidity, including physical deterioration. Connecting individuals to timely care improves outcomes. Unfortunately, significant gaps remain between the demand for behavioral healthcare and the supply of care. Further, estimates of demand are based on retrospective and/or non-localized measures, which impedes planning. This poses an opportunity to rethink how to close this gap. Health systems are better positioned than ever to do so, given novel technologies, data, and community integration. By developing more localized, real-time models of depression and anxiety demand and healthcare supply, health systems can better prioritize resource deployment and partnerships to proactively meet patient needs.
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Affiliation(s)
- Christine M Skovira
- Department of Medicine, Michigan State University College of Human Medicine, Grand Rapids, USA
- Department of Clinical Transformation, Cleveland Clinic Foundation, Cleveland, USA
| | - Elizabeth Pfoh
- Center for Value-Based Care Research, Cleveland Clinic Foundation, Cleveland, USA
| | - Amy Thompson
- Center for Value-Based Care Research, Cleveland Clinic Foundation, Cleveland, USA
| | - Julie Rish
- Department of Clinical Transformation, Cleveland Clinic Foundation, Cleveland, USA
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Zhao N, Dong C. Correlation of Serum IL-18, BDNF, and IL-1 β with Depression and Prognosis after Acute Exacerbation of Chronic Obstructive Pulmonary Disease. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:3555982. [PMID: 35535228 PMCID: PMC9078809 DOI: 10.1155/2022/3555982] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 03/22/2022] [Accepted: 04/06/2022] [Indexed: 12/15/2022]
Abstract
Objective To explore the correlation of serum IL-18, BDNF, and IL-1β with depression and prognosis after acute exacerbation of chronic obstructive pulmonary disease (COPD). Methods By means of retrospective analysis, the data of 240 patients at the acute exacerbation of COPD treated in our hospital (February 2018-February 2021) were analyzed. All patients received conventional treatment 1 d after admission, patients' serological indicators were measured before treatment, and after 30 d of follow-up, the patients were divided into the survival group (SG) and death group (DG) according to their clinical outcomes, the Beck's Depression Inventory (BDI) scores of the surviving patients were investigated, the correlation of IL-18, BDNF, and IL-1β levels with depression was analyzed by R analytics, and the correlation of IL-18, BDNF, and IL-1β levels with prognosis was analyzed by ROC curve analysis. Results The results of 30 d follow-up showed that 220 patients survived (91.7%) and 20 patients died (8.3%). Among the surviving patients, 95 patients had depression and 125 patients did not have depression; the BDI scores of the depressed subjects and the nondepressed subjects were 10.35 ± 1.25 points and 2.06 ± 0.76 points, respectively; significant differences in IL-18, BDNF, and IL-1β levels between SG and DG were observed (P < 0.05); significant differences in IL-18, BDNF, and IL-1β levels between the depressed subjects and the nondepressed subjects were observed (538.43 ± 19.02 vs. 515.32 ± 9.65, 7.54 ± 0.56 vs. 12.11 ± 2.41, and 8.70 ± 0.98 vs. 8.12 ± 0.87; P < 0.001); among the depressed patients, the IL-18 and IL-1β levels were positively correlative with the BDI scores (r = 0.781, r = 0.2583, P < 0.001, P = 0.012), and the BDNF level was negatively correlative with the BDI scores (r = -0.3277, P = 0.001) before treatment; according to the ROC analysis, the AUC (95% CI) of IL-18, BDNF, and IL-1β in predicting prognosis was 0.8770 (0.8281-0.9260), 0.7723 (0.6879-0.8567), and 0.7165 (0.6080-0.8250) (P < 0.05), respectively. Conclusion In regard to the depression in COPD patients after acute exacerbation, IL18 and IL-1β show positive correlation, and BDNF presents negative correlation. All three indicators have predictive value for patient outcome.
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Affiliation(s)
- Nan Zhao
- Department of Respiration, The First Affiliated Hospital of Harbin Medical University, 150001 Harbin City, Heilongjiang Province, China
| | - Chengcheng Dong
- Department of Respiration, The First Affiliated Hospital of Harbin Medical University, 150001 Harbin City, Heilongjiang Province, China
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Feng L, Li J, Lv X, Chu S, Li C, Zhang R, Cao X, Liang L. Temporal trends in anxiety and depression prevalence and their association with adverse outcomes in patients hospitalized for acute exacerbations of chronic obstructive pulmonary disease in Beijing, China, from 2004 to 2020. Front Psychiatry 2022; 13:996451. [PMID: 36386980 PMCID: PMC9659583 DOI: 10.3389/fpsyt.2022.996451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Accepted: 09/29/2022] [Indexed: 11/04/2022] Open
Abstract
AIMS To investigate the temporal trend in anxiety and/or depression prevalence in patients hospitalized for acute exacerbation of chronic obstructive pulmonary disease (AECOPD) in Beijing and their association with adverse outcomes. MATERIALS AND METHODS Hospital admission records from 2004 to 2020 with a primary discharge diagnosis of AECOPD were retrieved from Beijing Public Health Information Centre database. The anxiety and depression were identified from discharge diagnoses of each record. Joinpoint regression was used to analyze the temporal trend and calculate the annual percentage change (APC) for the prevalence of anxiety and/or depression. Generalized linear model was used to analyze the associations between anxiety and/or depression and patients' adverse outcomes. RESULTS A total of 382,125 records were included, most of which were male (66.0%) and aged ≥ 75 years (59.7%). Three segments in the temporal trend were observed, with a mild increase during 2004-2009 (APC: 5.9%, 95% CI: -14.9 to 31.7%), followed by a sharply increase during 2009-2012 (APC: 60.4%, 95% CI: 10.6 to 132.7%), then stabilized at about 3% during 2012-2020 (APC: 1.9%, 95% CI: -0.4 to 4.3%). On average, anxiety, and/or depression was more prevalent in females, the aged and those admitted in secondary hospitals (all P < 0.001). Patients with anxiety and/or depression had lower in-hospital mortality (IHM) (OR = 0.74, 95% CI: 0.63-0.88), but longer hospital stay (OR = 1.10, 95% CI: 1.07-1.13), more medical costs (OR = 1.12, 95% CI: 1.08-1.17) and higher risks of readmission for AECOPD at 30-, 90-, 180-day, and 1-year (ORs ranged from 1.22 to 1.51). CONCLUSION The prevalence of anxiety and/or depression in patients hospitalized for AECOPD in Beijing stabilized at approximately 3% after 2012. Anxiety and/or depression is associated with a heavier burden on patients, health care, and medical insurance systems. Appropriate diagnosis and effective treatment of anxiety and depression is crucial for patients with AECOPD.
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Affiliation(s)
- Lin Feng
- Department of Clinical Epidemiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Jiachen Li
- Department of Clinical Epidemiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Xiaoshuang Lv
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Shuilian Chu
- Department of Clinical Epidemiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Changwei Li
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States
| | - Ruiyuan Zhang
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States
| | - Xi Cao
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States
| | - Lirong Liang
- Department of Clinical Epidemiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
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Huang K, Huang K, Xu J, Yang L, Zhao J, Zhang X, Bai C, Kang J, Ran P, Shen H, Wen F, Chen Y, Sun T, Shan G, Lin Y, Wu S, Yang T, Wang C. Anxiety and Depression in Patients with Chronic Obstructive Pulmonary Disease in China: Results from the China Pulmonary Health [CPH] Study. Int J Chron Obstruct Pulmon Dis 2021; 16:3387-3396. [PMID: 34949919 PMCID: PMC8691135 DOI: 10.2147/copd.s328617] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 12/06/2021] [Indexed: 02/05/2023] Open
Abstract
Purpose Anxiety and depression are often underdiagnosed and affect the prognosis of patients with chronic obstructive pulmonary disease (COPD). We analyzed data from the China Pulmonary Health (CPH) study to assess the prevalence of anxiety and depression in COPD patients and their relationship with disease severity. Patients and Methods A total of 57,779 subjects aged 20 years or older were recruited in the CPH study. All participants were assessed using a standard questionnaire and underwent pulmonary function tests before and after the use of a bronchodilator in local health centers. The Hospital Anxiety and Depression Scale (HADS) questionnaire with a cutoff score of 8 was used to define anxiety and depression. The prevalence of anxiety and depression in patients of COPD were investigated. Multivariate logistic regression was used to investigate the effects of COPD and lung function on anxiety and depression. Results A total of 49,053 participants (20,661 men and 28,392 women) completed the questionnaire with reliable post-bronchodilator pulmonary function test results and were included in the final analysis, of which 4686 (9.55%) were diagnosed with COPD. Of the patients with COPD, 10.79% had anxiety, 13.65% had depression, and 7.08% had anxiety and depression concomitantly. In the multivariate logistic regression analysis, COPD was not significantly associated with anxiety, depression, or both. After adjusting for confounders in model 1, patients in the GOLD III–IV group had a significantly higher risk of anxiety, depression, and their coincidence. After further adjusting for respiratory symptoms in model 2, lung function impairment in the GOLD III–IV group was only significantly associated with a higher risk of depression or at least one of anxiety and depression. Conclusion Anxiety and depression are prevalent in patients with COPD in China. More severe lung function impairment is significantly associated with a higher risk of depression.
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Affiliation(s)
- Ke Huang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, People's Republic of China.,Department of Pulmonary and Critical Care Medicine, National Clinical Research Center for Respiratory Diseases, Beijing, People's Republic of China
| | - Kewu Huang
- Beijing Key Laboratory of Respiratory and Pulmonary Circulation Disorders, Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Jianying Xu
- Department of Pulmonary and Critical Care Medicine, Shanxi Dayi Hospital, Taiyuan, People's Republic of China
| | - Lan Yang
- Department of Pulmonary and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Jianping Zhao
- Department of Pulmonary and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Xiangyan Zhang
- Department of Pulmonary and Critical Care Medicine, Guizhou Provincial People's Hospital, Guiyang, People's Republic of China
| | - Chunxue Bai
- Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China
| | - Jian Kang
- Department of Pulmonary and Critical Care Medicine, First Hospital of China Medical University, Shenyang, People's Republic of 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, People's Republic of China
| | - Huahao Shen
- Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, People's Republic of 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, People's Republic of China
| | - Yahong Chen
- Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing, People's Republic of China
| | - Tieying Sun
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, Beijing, People's Republic of China
| | - Guangliang Shan
- Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, People's Republic of China
| | - Yingxiang Lin
- Beijing Key Laboratory of Respiratory and Pulmonary Circulation Disorders, Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Sinan Wu
- Department of Pulmonary and Critical Care Medicine, National Clinical Research Center for Respiratory Diseases, Beijing, People's Republic of China.,Institute of Clinical Medical Sciences, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, People's Republic of China
| | - Ting Yang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, People's Republic of China.,Department of Pulmonary and Critical Care Medicine, National Clinical Research Center for Respiratory Diseases, Beijing, People's Republic of China.,Department of Respiratory Medicine, Capital Medical University, Beijing, People's Republic of China
| | - Chen Wang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, People's Republic of China.,Department of Pulmonary and Critical Care Medicine, National Clinical Research Center for Respiratory Diseases, Beijing, People's Republic of China.,Department of Respiratory Medicine, Capital Medical University, Beijing, People's Republic of China.,Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
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