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Chen X, Yang F, He R. Mental illness and pulmonary tuberculosis: a bidirectional two-sample Mendelian randomization study. Front Psychiatry 2024; 15:1345863. [PMID: 38742123 PMCID: PMC11089237 DOI: 10.3389/fpsyt.2024.1345863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 04/15/2024] [Indexed: 05/16/2024] Open
Abstract
Background Observational studies have confirmed that mental illness and pulmonary tuberculosis are closely related and increase each other's incidence; however, whether there is a causal genetic association between the two diseases remains unknown. We attempted to answer this question using bidirectional two-sample Mendelian randomization (MR) in a large cohort study. Method We performed a bidirectional MR analysis between mental illness (major depressive, anxiety disorder, bipolar disorder, and schizophrenia) and pulmonary tuberculosis using summary statistics from genome-wide association studies in European individuals. The inverse-variance weighted method was used as the primary analytical method to assess causality. In addition, other additional MR methods (weighted median, MR-Egger, and weighted mode) were used to supplement the inverse-variance weighted results. Furthermore, several sensitivity analyses were performed to assess heterogeneity, horizontal pleiotropy, and stability. Result We identified no causal genetic association between mental illness and pulmonary tuberculosis after applying the inverse variance weighted method (major depressive: odds ratio (OR) = 1.00, 95% confidence interval (CI) = 0.59-1.71, P = 0.98; anxiety disorder: OR = 1.72, 95% CI = 0.05-67.67, P = 0.76; bipolar disorder OR = 0.89, 95% CI = 0.66-1.22, P = 0.48; and schizophrenia: OR = 1.05, 95% CI = 0.91-1.20, P = 0.51). Similarly, pulmonary tuberculosis was not caustically associated with mental illness (major depressive: OR = 1.01, 95% CI = 1.00-1.02, P = 0.17; anxiety disorder: OR = 1.00, 95% CI = 0.99-1.01, P = 0.06; bipolar disorder: OR = 1.02, 95% CI = 0.98-1.07, P = 0.38; and schizophrenia: OR = 1.01, 95% CI = 0.97-1.05, P = 0.66). Conclusion Our research does not support a bidirectional causal association between the aforementioned mental illnesses and pulmonary tuberculosis.
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Affiliation(s)
- Xing Chen
- Department of Infection, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, Nanchong, Sichuan, China
| | - Fengbo Yang
- Department of Otolaryngology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China
| | - Ronghui He
- Department of Infection, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, Nanchong, Sichuan, China
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Na EJ, Lee J, Sohn JH, Yang M, Park Y, Sim HB, Lee H. Characteristics of Comorbid Physical Disease in Patients With Severe Mental Illness in South Korea: A Nationwide Population-Based Study (2014-2019). Psychiatry Investig 2024; 21:361-370. [PMID: 38695043 PMCID: PMC11065528 DOI: 10.30773/pi.2023.0224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 10/29/2023] [Accepted: 12/08/2023] [Indexed: 05/04/2024] Open
Abstract
OBJECTIVE The purpose of this study was to identify the associations of chronic physical disease between patients with severe mental illness (SMI) and the general population of South Korea. METHODS This study was conducted with National Health Insurance Corporation data from 2014 to 2019. A total of 848,058 people were diagnosed with SMI in this period, and the same number of controls were established by matching by sex and age. A descriptive analysis was conducted on the sociodemographic characteristics of patients with SMI. Conditional logistic regression analysis was performed to identify the associations between comorbid physical disease in patients with SMI and those of the general population. SAS Enterprise Guide 7.1 (SAS Inc, Cary, NC, USA) were used to perform all statistical tests. RESULTS The analysis revealed significant differences in medical insurance, income level, and Charlson Comorbidity Index weighted by chronic physical disease, between patients with SMI and the general population. Conditional logistic regression analysis between the two groups also revealed significant differences in eight chronic physical diseases except hypertensive disease. CONCLUSION This study confirmed the vulnerability of patients with SMI to chronic physical diseases and we were able to identify chronic physical disease that were highly related to patients with SMI.
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Affiliation(s)
- Eun Jin Na
- Department of Psychiatry, Seoul Medical Center, Seoul, Republic of Korea
- Seoul Mental Health Welfare Center, Seoul, Republic of Korea
| | - Jungsun Lee
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Jee Hoon Sohn
- Public Healthcare Center, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Psychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Mi Yang
- Seoul Mental Health Welfare Center, Seoul, Republic of Korea
| | - Yoomi Park
- Seoul Metropolitan Government, Seoul, Republic of Korea
| | - Hyun-Bo Sim
- Department of Psychiatry, Seoul Medical Center, Seoul, Republic of Korea
| | - Haewoo Lee
- Department of Psychiatry, Seoul Medical Center, Seoul, Republic of Korea
- Seoul Mental Health Welfare Center, Seoul, Republic of Korea
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3
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Romero-Tamarit A, Vallès X, Munar-García M, Espinosa-Pereiro J, Saborit N, Tortola MT, Stojanovic Z, Roure S, Antuori A, Cardona PJ, Soriano-Arandes A, Martin-Nalda A, Espiau M, de Souza-Galvão ML, Jiménez MÁ, Noguera-Julian A, Molina I, Casas X, Domínguez-Álvarez M, Jové N, Gogichadze N, L Fonseca K, Arias L, Millet JP, Sánchez-Montalvá A, Vilaplana C. A longitudinal prospective study of active tuberculosis in a Western Europe setting: insights and findings. Infection 2024; 52:611-623. [PMID: 38349459 PMCID: PMC10954962 DOI: 10.1007/s15010-024-02184-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 01/12/2024] [Indexed: 03/21/2024]
Abstract
PURPOSE This study investigates the potential of inflammatory parameters (IP), symptoms, and patient-related outcome measurements as biomarkers of severity and their ability to predict tuberculosis (TB) evolution. METHODS People with TB were included prospectively in the Stage-TB study conducted at five clinical sites in Barcelona (Spain) between April 2018 and December 2021. Data on demographics, epidemiology, clinical features, microbiology, and Sanit George Respiratory Questionnaire (SGRQ) and Kessler-10 as Health-Related Quality of Life (HRQoL) were collected at three time points during treatment. C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), neutrophil/lymphocyte, and monocyte/lymphocyte ratios (NLR and MLR), complement factors C3, C4, and cH50, clinical and microbiological data, and HRQoL questionnaires were assessed at baseline, 2 months, and 6 months. Their ability to predict sputum culture conversion (SCC) and symptom presence after 2 months of treatment was also analysed. RESULTS The study included 81 adults and 13 children with TB. The CRP, ESR, NLR, and MLR values, as well as the presence of symptoms, decreased significantly over time in both groups. Higher IP levels at baseline were associated with greater bacillary load and persistent symptoms. Clinical severity at baseline predicted a delayed SCC. Kessler-10 improved during follow-up, but self-reported lung impairment (SGRQ) persisted in all individuals after 6 months. CONCLUSIONS IP levels may indicate disease severity, and sustained high levels are linked to lower treatment efficacy. Baseline clinical severity is the best predictor of SCC. Implementing health strategies to evaluate lung function and mental health throughout the disease process may be crucial for individuals with TB.
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Affiliation(s)
- Arantxa Romero-Tamarit
- Unitat de Tuberculosi Experimental, Germans Trias i Pujol Research Institute (IGTP), Can Ruti Campus, Ctra. del Canyet, S/N, 08916, Badalona, Spain
- Autonomous University of Barcelona, Bellaterra, Spain
| | - Xavier Vallès
- Unitat de Tuberculosi Experimental, Germans Trias i Pujol Research Institute (IGTP), Can Ruti Campus, Ctra. del Canyet, S/N, 08916, Badalona, Spain
- North Metropolitan International Health Program (PROSICS), Badalona, Spain
- Territorial Clinical Directorate on Infectious Diseases and International Health Clinical Division within the Northern Metropolitan Management of the Catalan Institute of Health, Badalona, Spain
- Fundació Lluita Contra les Infeccions, Hospital Germans Trias i Pujol, Badalona, Spain
| | - María Munar-García
- Unitat de Tuberculosi Experimental, Germans Trias i Pujol Research Institute (IGTP), Can Ruti Campus, Ctra. del Canyet, S/N, 08916, Badalona, Spain
- Pompeu Fabra University, Barcelona, Spain
| | - Juan Espinosa-Pereiro
- Infectious Diseases Department, Vall d'Hebrón University Hospital, Universitat Autónoma de Barcelona, Barcelona, Spain
- International Health Program of the Catalan Institute of Health (PROSICS), Barcelona, Spain
- CIBER of Infectious Disease (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Núria Saborit
- Infectious Diseases Department, Vall d'Hebrón University Hospital, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Ma Teresa Tortola
- CIBER of Infectious Disease (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Microbiology Department, Hospital Vall d'Hebron, Barcelona, Spain
- Mycobacterial Infection Study Group from the Spanish Society of Clinical Microbiology and Infectious Diseases (GEIM-SEIMC), Barcelona, Spain
| | - Zoran Stojanovic
- Pneumology Department, Hospital Universitari Germans Trias I Pujol, Badalona, Spain
- CIBER Respiratory Diseases (CIBERES), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Sílvia Roure
- Unitat de Tuberculosi Experimental, Germans Trias i Pujol Research Institute (IGTP), Can Ruti Campus, Ctra. del Canyet, S/N, 08916, Badalona, Spain
- North Metropolitan International Health Program (PROSICS), Badalona, Spain
- Territorial Clinical Directorate on Infectious Diseases and International Health Clinical Division within the Northern Metropolitan Management of the Catalan Institute of Health, Badalona, Spain
- Fundació Lluita Contra les Infeccions, Hospital Germans Trias i Pujol, Badalona, Spain
- Infectious Diseases Department, Germans Trias i Pujol Hospital and Research Institute, 08916, Badalona, Spain
| | - Adrián Antuori
- CIBER Respiratory Diseases (CIBERES), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Microbiology Department, Northern Metropolitan Clinical Laboratory, Hospital Universitari Germans Trias I Pujol, Badalona, Spain
| | - Pere-Joan Cardona
- Unitat de Tuberculosi Experimental, Germans Trias i Pujol Research Institute (IGTP), Can Ruti Campus, Ctra. del Canyet, S/N, 08916, Badalona, Spain
- Autonomous University of Barcelona, Bellaterra, Spain
- CIBER Respiratory Diseases (CIBERES), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Microbiology Department, Northern Metropolitan Clinical Laboratory, Hospital Universitari Germans Trias I Pujol, Badalona, Spain
| | - Antoni Soriano-Arandes
- Paediatric Infectious Diseases and Immunodeficiencies Unit, Hospital Vall d'Hebron, Barcelona, Spain
| | - Andrea Martin-Nalda
- Paediatric Infectious Diseases and Immunodeficiencies Unit, Hospital Vall d'Hebron, Barcelona, Spain
| | - María Espiau
- Paediatric Infectious Diseases and Immunodeficiencies Unit, Hospital Vall d'Hebron, Barcelona, Spain
| | - Maria Luiza de Souza-Galvão
- Infectious Diseases Department, Vall d'Hebrón University Hospital, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Ma Ángeles Jiménez
- Infectious Diseases Department, Vall d'Hebrón University Hospital, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Antoni Noguera-Julian
- Malalties Infeccioses i Resposta Inflamatòria Sistèmica en Pediatria, Servei de Malalties Infeccioses i Patologia Importada, Institut de Recerca Pediàtrica Sant Joan de Déu, 08950, Barcelona, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Departament de Cirurgia i Especialitats Medicoquirúrgiques, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, 08036, Barcelona, Spain
- Red de Investigación Traslacional en Infectología Pediátrica RITIP, 28029, Madrid, Spain
| | | | | | | | | | - Nino Gogichadze
- Unitat de Tuberculosi Experimental, Germans Trias i Pujol Research Institute (IGTP), Can Ruti Campus, Ctra. del Canyet, S/N, 08916, Badalona, Spain
- Autonomous University of Barcelona, Bellaterra, Spain
| | - Kaori L Fonseca
- Unitat de Tuberculosi Experimental, Germans Trias i Pujol Research Institute (IGTP), Can Ruti Campus, Ctra. del Canyet, S/N, 08916, Badalona, Spain
- CIBER Respiratory Diseases (CIBERES), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Lilibeth Arias
- Unitat de Tuberculosi Experimental, Germans Trias i Pujol Research Institute (IGTP), Can Ruti Campus, Ctra. del Canyet, S/N, 08916, Badalona, Spain
- CIBER Respiratory Diseases (CIBERES), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Joan-Pau Millet
- CIBER of Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Serveis Clínics de Barcelona, Barcelona, Spain
- Epidemiology Service, Barcelona Public Health Agency, Barcelona, Spain
| | - Adrián Sánchez-Montalvá
- Infectious Diseases Department, Vall d'Hebrón University Hospital, Universitat Autónoma de Barcelona, Barcelona, Spain
- International Health Program of the Catalan Institute of Health (PROSICS), Barcelona, Spain
- CIBER of Infectious Disease (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Mycobacterial Infection Study Group from the Spanish Society of Clinical Microbiology and Infectious Diseases (GEIM-SEIMC), Barcelona, Spain
| | - Cristina Vilaplana
- Unitat de Tuberculosi Experimental, Germans Trias i Pujol Research Institute (IGTP), Can Ruti Campus, Ctra. del Canyet, S/N, 08916, Badalona, Spain.
- Autonomous University of Barcelona, Bellaterra, Spain.
- Territorial Clinical Directorate on Infectious Diseases and International Health Clinical Division within the Northern Metropolitan Management of the Catalan Institute of Health, Badalona, Spain.
- CIBER Respiratory Diseases (CIBERES), Instituto de Salud Carlos III, 28029, Madrid, Spain.
- Microbiology Department, Northern Metropolitan Clinical Laboratory, Hospital Universitari Germans Trias I Pujol, Badalona, Spain.
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Monistrol-Mula A, Felez-Nobrega M, Oh H, Haro JM, Koyanagi A. Association between tuberculosis and psychotic experiences: Mediating factors and implications for patient care in low- and middle-income countries. J Glob Health 2024; 14:04005. [PMID: 38419459 PMCID: PMC10902804 DOI: 10.7189/jogh.14.04005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024] Open
Abstract
Background Tuberculosis may play a role in the aetiology of psychosis. However, little is known about the association between tuberculosis and psychotic experiences (PEs) or the mediating factors of this association. Methods We analysed cross-sectional data from 48 low- and middle-income countries of the World Health Survey (WHS). Tuberculosis assessment was based on past 12-month symptoms of active tuberculosis. We assessed four types of past 12-month PEs with the Composite International Diagnostic Interview. We performed multivariable multinomial logistic regression and mediation analysis. Results We analysed data on 224 842 individuals aged ≥18 years (mean age = 38.3 years, standard deviation = 16.0; 50.7% women). Tuberculosis was associated with 1.84 (95% confidence interval (CI) = 1.41-2.40), 2.18 (95%CI = 1.58-3.03), and 3.79 (95%CI = 2.88-4.98) times higher odds for 1, 2, and ≥3 PEs, respectively. The mediation analysis showed that the association between tuberculosis and at least one PE is mainly explained by anxiety (31.5%), sleep/energy (27.8%), and pain/discomfort (23.5%). Conclusions Tuberculosis was associated with increased odds of PEs. Factors such as affect, sleep, and pain should be considered in tuberculosis patients to target those who might be particularly vulnerable to PEs, and consequently, to psychotic disorders and other adverse effects of PE.
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Affiliation(s)
- Anna Monistrol-Mula
- Group of Epidemiology of Mental Disorders and Ageing, Sant Joan de Déu Research Institute, Esplugues de Llobregat, (Barcelona) Spain
- Research, Teaching, and Innovation Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Mireia Felez-Nobrega
- Group of Epidemiology of Mental Disorders and Ageing, Sant Joan de Déu Research Institute, Esplugues de Llobregat, (Barcelona) Spain
- Research, Teaching, and Innovation Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Hans Oh
- Suzanne Dworak Peck School of Social Work, University of Southern California, Los Angeles, California, USA
| | - Josep Maria Haro
- Group of Epidemiology of Mental Disorders and Ageing, Sant Joan de Déu Research Institute, Esplugues de Llobregat, (Barcelona) Spain
- Research, Teaching, and Innovation Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Ai Koyanagi
- Group of Epidemiology of Mental Disorders and Ageing, Sant Joan de Déu Research Institute, Esplugues de Llobregat, (Barcelona) Spain
- Research, Teaching, and Innovation Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
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Johnson LF, Kassanjee R, Folb N, Bennett S, Boulle A, Levitt NS, Curran R, Bobrow K, Roomaney RA, Bachmann MO, Fairall LR. A model-based approach to estimating the prevalence of disease combinations in South Africa. BMJ Glob Health 2024; 9:e013376. [PMID: 38388163 PMCID: PMC10884267 DOI: 10.1136/bmjgh-2023-013376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 11/12/2023] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND The development of strategies to better detect and manage patients with multiple long-term conditions requires estimates of the most prevalent condition combinations. However, standard meta-analysis tools are not well suited to synthesising heterogeneous multimorbidity data. METHODS We developed a statistical model to synthesise data on associations between diseases and nationally representative prevalence estimates and applied the model to South Africa. Published and unpublished data were reviewed, and meta-regression analysis was conducted to assess pairwise associations between 10 conditions: arthritis, asthma, chronic obstructive pulmonary disease (COPD), depression, diabetes, HIV, hypertension, ischaemic heart disease (IHD), stroke and tuberculosis. The national prevalence of each condition in individuals aged 15 and older was then independently estimated, and these estimates were integrated with the ORs from the meta-regressions in a statistical model, to estimate the national prevalence of each condition combination. RESULTS The strongest disease associations in South Africa are between COPD and asthma (OR 14.6, 95% CI 10.3 to 19.9), COPD and IHD (OR 9.2, 95% CI 8.3 to 10.2) and IHD and stroke (OR 7.2, 95% CI 5.9 to 8.4). The most prevalent condition combinations in individuals aged 15+ are hypertension and arthritis (7.6%, 95% CI 5.8% to 9.5%), hypertension and diabetes (7.5%, 95% CI 6.4% to 8.6%) and hypertension and HIV (4.8%, 95% CI 3.3% to 6.6%). The average numbers of comorbidities are greatest in the case of COPD (2.3, 95% CI 2.1 to 2.6), stroke (2.1, 95% CI 1.8 to 2.4) and IHD (1.9, 95% CI 1.6 to 2.2). CONCLUSION South Africa has high levels of HIV, hypertension, diabetes and arthritis, by international standards, and these are reflected in the most prevalent condition combinations. However, less prevalent conditions such as COPD, stroke and IHD contribute disproportionately to the multimorbidity burden, with high rates of comorbidity. This modelling approach can be used in other settings to characterise the most important disease combinations and levels of comorbidity.
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Affiliation(s)
- Leigh F Johnson
- Centre for Infectious Disease Epidemiology and Research (CIDER), University of Cape Town, Cape Town, South Africa
| | - Reshma Kassanjee
- Centre for Infectious Disease Epidemiology and Research (CIDER), University of Cape Town, Cape Town, South Africa
| | | | | | - Andrew Boulle
- Centre for Infectious Disease Epidemiology and Research (CIDER), University of Cape Town, Cape Town, South Africa
- Department of Health, Western Cape Provincial Government, Cape Town, South Africa
| | - Naomi S Levitt
- Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Robyn Curran
- Knowledge Translation Unit, University of Cape Town, Cape Town, Western Cape, South Africa
| | - Kirsty Bobrow
- Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Rifqah A Roomaney
- Burden of Disease Research Unit, South African Medical Research Council, Cape Town, Western Cape, South Africa
| | - Max O Bachmann
- Norwich Medical School, University of East Anglia, Faculty of Medicine and Health Sciences, Norwich, UK
| | - Lara R Fairall
- Knowledge Translation Unit, University of Cape Town, Cape Town, Western Cape, South Africa
- King's Global Health Institute, King's College London, London, UK
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Kowada A. Cost-effectiveness of interferon- γ release assay for screening of latent tuberculosis infection in individuals with schizophrenia. Epidemiol Infect 2024; 152:e13. [PMID: 38178725 PMCID: PMC10804133 DOI: 10.1017/s0950268823002030] [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: 09/05/2023] [Revised: 12/10/2023] [Accepted: 12/21/2023] [Indexed: 01/06/2024] Open
Abstract
Schizophrenia is recognized as a significant risk factor for tuberculosis (TB). This study aimed to evaluate the effectiveness and cost-effectiveness of interferon-γ release assay (IGRA) with preventive treatment for screening of latent tuberculosis infection (LTBI) in individuals with schizophrenia. A state transition model was developed from a healthcare payer perspective on a lifetime horizon. Ten strategies were compared by combining two different tests for LTBI, i.e. IGRA and tuberculin skin test (TST), and five different preventive treatments, i.e. 9-month isoniazid (9H), 3-month isoniazid and rifapentine (3HP) by directly observed therapy, 3HP by self-administered therapy, 3-month isoniazid and rifampin (3RH), and 4-month rifampin (4R). The main outcomes were costs, quality-adjusted life-years (QALYs), life expectancy life-years (LYs), incremental cost-effectiveness ratios, drug-sensitive tuberculosis (DS-TB) cases, and TB-related deaths. For both bacillus Calmette-Guérin (BCG)-vaccinated and non-BCG-vaccinated individuals, IGRA with 4R was the most cost-effective and TST with 3RH was the least effective. Among schizophrenic individuals in Japan, IGRA with 4R saved US$17.8 million, increased 58,981 QALYs and 935 LYs, and prevented 222 DS-TB cases and 75 TB-related deaths compared with TST with 3RH. In individuals with schizophrenia, IGRA with 4R is recommended for LTBI screening with preventive treatment to reduce costs, morbidity, and mortality from TB.
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Affiliation(s)
- Akiko Kowada
- Department of Occupational Health, Kitasato University Graduate School of Medical Sciences, Sagamihara, Kanagawa, Japan
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Stockton MA, Mazinyo EW, Mlanjeni L, Nogemane K, Ngcelwane N, Sweetland AC, Basaraba CN, Bezuidenhout C, Sansbury G, Lovero KL, Olivier D, Grobler C, Wall MM, Medina-Marino A, Nobatyi P, Wainberg ML. Validation of a brief screener for broad-spectrum mental and substance-use disorders in South Africa. Glob Ment Health (Camb) 2023; 11:e4. [PMID: 38283876 PMCID: PMC10808975 DOI: 10.1017/gmh.2023.89] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 11/29/2023] [Accepted: 12/13/2023] [Indexed: 01/30/2024] Open
Abstract
In low-resource settings, valid mental health screening tools for non-specialists can be used to identify patients with psychiatric disorders in need of critical mental health care. The Mental Wellness Tool-13 (mwTool-13) is a 13-item screener for identifying adults at risk for common mental disorders (CMDs) alcohol-use disorders (AUDs), substance-use disorders (SUD), severe mental disorders (SMDs), and suicide risk (SR). The mwTool-13 is administered in two steps, specifically, only those who endorse any of the initial three questions receive the remaining ten questions. We evaluated the performance of mwTool-13 in South Africa against a diagnostic gold standard. We recruited a targeted, gender-balanced sample of adults, aged ≥18 years at primary and tertiary healthcare facilities in Eastern Cape Province. Of the 1885 participants, the prevalence of CMD, AUD, SMD, SR, and SUD was 24.4%, 9.5%, 8.1%, 6.0%, and 1.6%, respectively. The mwTool-13 yielded high sensitivities for CMD, SMD, and SR, but sub-optimal sensitivities for AUD and SUD (56.7% and 64.5%, respectively). Including a single AUD question in the initial question set improved the tool's performance in identifying AUD and SUD (sensitivity > 70%), while maintaining brevity, face-validity, and simplicity in the South African setting.
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Affiliation(s)
- Melissa Ann Stockton
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ernesha Webb Mazinyo
- Research Unit, Foundation for Professional Development, Buffalo City Metro, Eastern Cape Province, South Africa
- University of California Global Health Institute, University of California, San Francisco, USA
| | - Lungelwa Mlanjeni
- Research Unit, Foundation for Professional Development, Buffalo City Metro, Eastern Cape Province, South Africa
| | - Kwanda Nogemane
- Buffalo City Metro Health District, Eastern Cape Provincial Department of Health, Bisho, South Africa
| | - Nondumiso Ngcelwane
- Buffalo City Metro Health District, Eastern Cape Provincial Department of Health, Bisho, South Africa
| | - Annika C. Sweetland
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, USA
- New York State Psychiatric Institute, New York, USA
| | - Cale Neil Basaraba
- Department of Population and Family Health, Columbia University Mailman School of Public Health, New York, NY, USA
- Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Charl Bezuidenhout
- Department of Global Health, Boston University School of Public Health, Boston, MA, USA
| | | | - Kathryn L. Lovero
- Department of Sociomedical Sciences, Columbia University Mailman School of Public Health, New York, USA
| | - David Olivier
- The Desmond Tutu HIV Centre, University of Cape Town, Cape Town, South Africa
| | - Christoffel Grobler
- Faculty of Medicine, School of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa
| | - Melanie M. Wall
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, USA
- New York State Psychiatric Institute, New York, USA
| | - Andrew Medina-Marino
- The Desmond Tutu HIV Centre, University of Cape Town, Cape Town, South Africa
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Phumza Nobatyi
- Buffalo City Metro Health District, Eastern Cape Provincial Department of Health, Bisho, South Africa
| | - Milton L. Wainberg
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, USA
- New York State Psychiatric Institute, New York, USA
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Foster I, Biewer A, Vanqa N, Makanda G, Tisile P, Hayward SE, Wademan DT, Anthony MG, Mbuyamba R, Galloway M, Human W, Westhuizen HM, Friedland JS, Marino-Medina A, Schoeman I, Hoddinott G, Nathavitharana RR. "This is an illness. No one is supposed to be treated badly": Community-based stigma assessments in South Africa to inform TB stigma intervention design. RESEARCH SQUARE 2023:rs.3.rs-3716733. [PMID: 38168425 PMCID: PMC10760241 DOI: 10.21203/rs.3.rs-3716733/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Background Though TB-related stigma is a recognized barrier to care, interventions are lacking and gaps remain in understanding the drivers and experiences of TB-related stigma. We undertook community-based mixed methods stigma assessments to inform stigma intervention design. Methods We adapted the Stop TB Partnership stigma assessment tool, and trained three peer research associates (PRAs; two TB survivors, one community health worker) to conduct surveys with people with TB (PWTB, n=93) and caregivers of children with TB (n=24) at peri-urban and rural clinic sites in Khayelitsha, Western Cape, and Hammanskraal, Gauteng Province, South Africa. We descriptively analyzed responses for each stigma experience (anticipated, internal, and enacted), calculated stigma scores, and undertook generalized linear regression analysis. We further conducted 25 in-depth interviews with PWTB (n=22) and caregivers TB (n=3). Using inductive thematic analysis, we performed open coding to identify emergent themes, and selective coding to identify relevant quotes. Themes were organised using the CARD (Constraints, Actions, Risks and Desires) framework. Results Surveys revealed at least one-third of PWTB and one-quarter of caregivers report experiences of anticipated, internal, and/or enacted stigma, which affected engagement throughout the care cascade. Participants in rural locations (compared to peri-urban) reported higher anticipated, internal, and enacted stigma (β-coefficient 0.72, 0.71, and 0.74). Interview participants described how stigma experiences, including HIV intersectional stigma, act individually and in concert as key constraints to impede care, and underpins failure to disclose a TB diagnosis, isolation, and exclusion. Stigma resilience arose through understanding that TB can affect anyone and should not diminish self-worth. Risks of stigma, driven by fears related to disease severity and infectiousness, led to care disengagement and impaired psychological wellbeing. Participants desired counselling, identifying a specific role for TB survivors as peer counsellors, and community education. Conclusions Stigma is highly prevalent and negatively impacts TB care and the well-being of PWTB, warranting its assessment as a primary outcome indicator rather than intermediary contributor to poor cascade outcomes. Multicomponent stigma interventions are needed, including counselling for PWTB and education for health workers and communities. Such interventions must incorporate contextual differences based on gender or setting, and use survivor-guided messaging to foster stigma resilience.
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Affiliation(s)
| | - Amanda Biewer
- Beth Israel Deaconess Medical Center, Harvard Medical School
| | - Nosivuyile Vanqa
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, South Africa
| | | | | | | | - Dillon T Wademan
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, South Africa
| | - Michaile G Anthony
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, South Africa
| | | | | | | | | | | | | | | | - Graeme Hoddinott
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, South Africa
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Susanto TD, Widysanto A, Cipta DA, Tanara A, Wirawan GR, Kosim AB, Djoni CM, Tantri E, Kumar C, Angelius C. Anxiety and depression level of patients with multidrug-resistant tuberculosis (MDR-TB) in two hospitals in Banten province, Indonesia. DIALOGUES IN HEALTH 2023; 2:100115. [PMID: 38515492 PMCID: PMC10953925 DOI: 10.1016/j.dialog.2023.100115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 01/26/2023] [Accepted: 02/12/2023] [Indexed: 03/23/2024]
Abstract
Purpose Anxiety and depression can be found in patients diagnosed with multidrug-resistant Tuberculosis (MDR-TB). The purpose of this research is to measure the level of anxiety and depression in new patients with MDR-TB. Methods One hundred two new patients newly diagnosed with MDR TB in two hospitals in Banten province, Indonesia, are measured for depression and anxiety symptoms. The measurements used the Indonesian language version of the Zung Anxiety Self-Assessment Scale Questionnaire and the Indonesian version of Zung Self-Rating Depression Scale Questionnaire for Pulmonary Tuberculosis Patients that have been validated. The results include the demographic data presented descriptively as tables and charts. Results The mean age of the patients is 39,57+12,48 years. The monthly income of the patients is 54,9% low and 45,1% medium with no high income. Male is 61,8%, and 38,2% are female. The mean score of the anxiety index is 57,32+10,23. The mean score of the depression index is 55,02+12,36. The percentage of patients with no anxiety is 13,7%, minimal to moderate anxiety 46,1%, marked to severe anxiety 33,3%, and most extreme anxiety 6,9%. Conclusions A significant proportion of patients newly diagnosed with MDR-TB experience anxiety and depression.
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Affiliation(s)
| | - Allen Widysanto
- Department of Internal Medicine, Universitas Pelita Harapan, Banten, Indonesia
| | - Darien Alfa Cipta
- Department of Psychiatry, Universitas Pelita Harapan, Banten, Indonesia
| | - Arron Tanara
- Faculty of Medicine, Universitas Pelita Harapan, Banten, Indonesia
| | | | | | | | - Ervinna Tantri
- Faculty of Medicine, Universitas Pelita Harapan, Banten, Indonesia
| | - Chandni Kumar
- Faculty of Medicine, Universitas Pelita Harapan, Banten, Indonesia
| | - Chelsie Angelius
- Faculty of Medicine, Universitas Pelita Harapan, Banten, Indonesia
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Ramos JP, Vieira M, Pimentel C, Argel M, Barbosa P, Duarte R. Building bridges: multidisciplinary teams in tuberculosis prevention and care. Breathe (Sheff) 2023; 19:230092. [PMID: 37719241 PMCID: PMC10501709 DOI: 10.1183/20734735.0092-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 06/07/2023] [Indexed: 09/19/2023] Open
Abstract
People with or affected by tuberculosis (TB) experience complex social and cultural constraints that may affect treatment outcomes by impeding access to proper care or by hindering treatment adherence. Low levels of health literacy which leads to inadequate disease information; stigma, discrimination and other forms of prejudice that may result in marginalisation and ostracisation; and socioeconomic vulnerabilities that hamper one's capacity to access essential goods or increase the risk of exposure to the disease are some of the barriers highlighted. These complex hurdles are also disproportionately felt by people with or affected by TB due to gender-related inequalities that need to be properly addressed. Additionally, TB prevention and care should encompass interventions aimed at improving and promoting mental health, given that mental unhealth may further thwart treatment adherence and success. A multifaceted and multidisciplinary approach to TB is required to answer these complex barriers.
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Affiliation(s)
- João Pedro Ramos
- Departamento de Estudos das Populações, Instituto de Ciências Biomédicas Abel Salazar, Porto, Portugal
- EPI Unit, Instituto de Saúde Pública da Universidade do Porto, Porto, Portugal
| | - Mariana Vieira
- EPI Unit, Instituto de Saúde Pública da Universidade do Porto, Porto, Portugal
| | | | | | - Pedro Barbosa
- EPI Unit, Instituto de Saúde Pública da Universidade do Porto, Porto, Portugal
| | - Raquel Duarte
- Departamento de Estudos das Populações, Instituto de Ciências Biomédicas Abel Salazar, Porto, Portugal
- EPI Unit, Instituto de Saúde Pública da Universidade do Porto, Porto, Portugal
- Unidade de Investigaçao Clínica da Administraçao Regional de Saúde do Norte, Porto, Portugal
- Serviço de Pneumologia, Centro Hospitalar de Vila Nova de Gaia/Espinho, Vila Nova de Gaia, Portugal
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11
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Nordholm AC, Andersen AB, Wejse C, Norman A, Ekstrøm CT, Andersen PH, Koch A, Lillebaek T. Mental illness, substance abuse, and tuberculosis risk. J Infect 2023; 86:e135-e137. [PMID: 36716977 DOI: 10.1016/j.jinf.2023.01.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 01/06/2023] [Accepted: 01/21/2023] [Indexed: 01/30/2023]
Affiliation(s)
- Anne Christine Nordholm
- International Reference Laboratory of Mycobacteriology, Statens Serum Institut, 5 Artillerivej, Copenhagen S 2300, Denmark.
| | - Aase Bengaard Andersen
- Department of Infectious Diseases, Rigshospitalet Copenhagen University Hospital, 9 Blegdamsvej, Copenhagen Ø 2100, Denmark
| | - Christian Wejse
- Department of Infectious Diseases, Aarhus University Hospital, 99 Palle Juul-Jensens Boulevard, Aarhus N 8200, Denmark; Center for Global Health, Aarhus University, 2 Bartholins Allé, Aarhus C 8000, Denmark
| | - Anders Norman
- International Reference Laboratory of Mycobacteriology, Statens Serum Institut, 5 Artillerivej, Copenhagen S 2300, Denmark
| | - Claus Thorn Ekstrøm
- Section of Biostatistics, Department of Public Health, University of Copenhagen, 5 Øster Farimagsgade, Copenhagen K 1353, Denmark
| | - Peter Henrik Andersen
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, 5 Artillerivej, Copenhagen S 2300, Denmark
| | - Anders Koch
- Department of Infectious Diseases, Rigshospitalet Copenhagen University Hospital, 9 Blegdamsvej, Copenhagen Ø 2100, Denmark; Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, 5 Artillerivej, Copenhagen S 2300, Denmark; Global Health Section, Department of Public Health, University of Copenhagen, 5 Øster Farimagsgade, Copenhagen K 1353, Denmark
| | - Troels Lillebaek
- International Reference Laboratory of Mycobacteriology, Statens Serum Institut, 5 Artillerivej, Copenhagen S 2300, Denmark; Global Health Section, Department of Public Health, University of Copenhagen, 5 Øster Farimagsgade, Copenhagen K 1353, Denmark
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12
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Alffenaar JWC, Stocker SL, Forsman LD, Garcia-Prats A, Heysell SK, Aarnoutse RE, Akkerman OW, Aleksa A, van Altena R, de Oñata WA, Bhavani PK, Van't Boveneind-Vrubleuskaya N, Carvalho ACC, Centis R, Chakaya JM, Cirillo DM, Cho JG, D Ambrosio L, Dalcolmo MP, Denti P, Dheda K, Fox GJ, Hesseling AC, Kim HY, Köser CU, Marais BJ, Margineanu I, Märtson AG, Torrico MM, Nataprawira HM, Ong CWM, Otto-Knapp R, Peloquin CA, Silva DR, Ruslami R, Santoso P, Savic RM, Singla R, Svensson EM, Skrahina A, van Soolingen D, Srivastava S, Tadolini M, Tiberi S, Thomas TA, Udwadia ZF, Vu DH, Zhang W, Mpagama SG, Schön T, Migliori GB. Clinical standards for the dosing and management of TB drugs. Int J Tuberc Lung Dis 2022; 26:483-499. [PMID: 35650702 PMCID: PMC9165737 DOI: 10.5588/ijtld.22.0188] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 04/04/2022] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND: Optimal drug dosing is important to ensure adequate response to treatment, prevent development of drug resistance and reduce drug toxicity. The aim of these clinical standards is to provide guidance on 'best practice´ for dosing and management of TB drugs.METHODS: A panel of 57 global experts in the fields of microbiology, pharmacology and TB care were identified; 51 participated in a Delphi process. A 5-point Likert scale was used to score draft standards. The final document represents the broad consensus and was approved by all participants.RESULTS: Six clinical standards were defined: Standard 1, defining the most appropriate initial dose for TB treatment; Standard 2, identifying patients who may be at risk of sub-optimal drug exposure; Standard 3, identifying patients at risk of developing drug-related toxicity and how best to manage this risk; Standard 4, identifying patients who can benefit from therapeutic drug monitoring (TDM); Standard 5, highlighting education and counselling that should be provided to people initiating TB treatment; and Standard 6, providing essential education for healthcare professionals. In addition, consensus research priorities were identified.CONCLUSION: This is the first consensus-based Clinical Standards for the dosing and management of TB drugs to guide clinicians and programme managers in planning and implementation of locally appropriate measures for optimal person-centred treatment to improve patient care.
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Affiliation(s)
- J W C Alffenaar
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia, School of Pharmacy, The University of Sydney Faculty of Medicine and Health, Sydney, NSW, Australia, Westmead Hospital, Sydney, NSW, Australia
| | - S L Stocker
- School of Pharmacy, The University of Sydney Faculty of Medicine and Health, Sydney, NSW, Australia, Department of Clinical Pharmacology and Toxicology, St Vincent´s Hospital, Sydney, NSW, Australia, St Vincent´s Clinical Campus, University of NSW, Kensington, NSW, Australia
| | - L Davies Forsman
- Division of Infectious Diseases, Department of Medicine, Karolinska Institutet, Solna, Sweden, Department of Infectious Diseases Karolinska University Hospital, Solna, Sweden
| | - A Garcia-Prats
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Stellenbosch University, Tygerberg, South Africa, Department of Pediatrics, University of Wisconsin, Madison, WI
| | - S K Heysell
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA
| | - R E Aarnoutse
- Department of Pharmacy, Radboud Institute for Health Sciences & Radboudumc Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
| | - O W Akkerman
- University of Groningen, University Medical Center Groningen, Department of Pulmonary Diseases and Tuberculosis, Groningen, The Netherlands, University of Groningen, University Medical Center Groningen, Tuberculosis Center Beatrixoord, Haren, The Netherlands
| | - A Aleksa
- Educational Institution "Grodno State Medical University", Grodno, Belarus
| | - R van Altena
- Asian Harm Reduction Network (AHRN) and Medical Action Myanmar (MAM) in Yangon, Myanmar
| | - W Arrazola de Oñata
- Belgian Scientific Institute for Public Health (Belgian Lung and Tuberculosis Association), Brussels, Belgium
| | - P K Bhavani
- Indian Council of Medical Research-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India
| | - N Van't Boveneind-Vrubleuskaya
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands, Department of Public Health TB Control, Metropolitan Public Health Services, The Hague, The Netherlands
| | - A C C Carvalho
- Laboratório de Inovações em Terapias, Ensino e Bioprodutos (LITEB), Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil
| | - R Centis
- Servizio di Epidemiologia Clinica delle Malattie Respiratorie, Istituti Clinici Scientifici Maugeri Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Tradate, Italy
| | - J M Chakaya
- Department of Medicine, Therapeutics and Dermatology, Kenyatta University, Nairobi, Kenya, Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - D M Cirillo
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - J G Cho
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia, Westmead Hospital, Sydney, NSW, Australia, Parramatta Chest Clinic, Parramatta, NSW, Australia
| | - L D Ambrosio
- Public Health Consulting Group, Lugano, Switzerland
| | - M P Dalcolmo
- Reference Center Hélio Fraga, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, RJ, Brazil
| | - P Denti
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - K Dheda
- Centre for Lung Infection and Immunity, Department of Medicine, Division of Pulmonology and UCT Lung Institute, University of Cape Town, Cape Town, South Africa, University of Cape Town Lung Institute & South African MRC Centre for the Study of Antimicrobial Resistance, Cape Town, South Africa, Faculty of Infectious and Tropical Diseases, Department of Immunology and Infection, London School of Hygiene & Tropical Medicine, London, UK
| | - G J Fox
- Faculty of Medicine and Health, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia, Woolcock Institute of Medical Research, Glebe, NSW, Australia
| | - A C Hesseling
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Stellenbosch University, Tygerberg, South Africa
| | - H Y Kim
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia, School of Pharmacy, The University of Sydney Faculty of Medicine and Health, Sydney, NSW, Australia, Westmead Hospital, Sydney, NSW, Australia
| | - C U Köser
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - B J Marais
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia, Department of Infectious Diseases and Microbiology, The Children´s Hospital at Westmead, Westmead, NSW, Australia
| | - I Margineanu
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - A G Märtson
- Antimicrobial Pharmacodynamics and Therapeutics, Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - M Munoz Torrico
- Clínica de Tuberculosis, Instituto Nacional de Enfermedades Respiratorias, Ciudad de México, Mexico
| | - H M Nataprawira
- Division of Paediatric Respirology, Department of Child Health, Faculty of Medicine, Universitas Padjadjaran, Hasan Sadikin Hospital, Bandung, Indonesia
| | - C W M Ong
- Infectious Disease Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Institute for Health Innovation & Technology (iHealthtech), National University of Singapore, Singapore, Division of Infectious Diseases, Department of Medicine, National University Hospital, Singapore
| | - R Otto-Knapp
- German Central Committee against Tuberculosis (DZK), Berlin, Germany
| | - C A Peloquin
- Infectious Disease Pharmacokinetics Laboratory, Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL, USA
| | - D R Silva
- Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - R Ruslami
- TB/HIV Research Centre, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia, Department of Biomedical Sciences, Division of Pharmacology and Therapy, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - P Santoso
- Division of Respirology and Critical Care, Department of Internal Medicine, Faculty of Medicine, Universitas Padjadjaran/Hasan Sadikin General Hospital, Bandung, Indonesia
| | - R M Savic
- Department of Bioengineering and Therapeutic Sciences, Division of Pulmonary and Critical Care Medicine, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, CA, USA
| | - R Singla
- Department of TB & Respiratory Diseases, National Institute of TB & Respiratory Diseases, New Delhi, India
| | - E M Svensson
- Department of Pharmacy, Radboud Institute for Health Sciences & Radboudumc Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands, Department of Pharmacy, Uppsala University, Uppsala, Sweden
| | - A Skrahina
- The Republican Research and Practical Centre for Pulmonology and TB, Minsk, Belarus
| | - D van Soolingen
- National Institute for Public Health and the Environment, TB Reference Laboratory (RIVM), Bilthoven, The Netherlands
| | - S Srivastava
- Department of Pulmonary Immunology, University of Texas Health Science Center at Tyler, Tyler, TX, USA
| | - M Tadolini
- Infectious Diseases Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy, Department of Medical and Surgical Sciences, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - S Tiberi
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - T A Thomas
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA
| | - Z F Udwadia
- P. D. Hinduja National Hospital and Medical Research Centre, Mumbai, India
| | - D H Vu
- National Drug Information and Adverse Drug Reaction Monitoring Centre, Hanoi University of Pharmacy, Hanoi, Vietnam
| | - W Zhang
- Department of Infectious Diseases, National Medical Center for Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People´s Republic of China
| | - S G Mpagama
- Kilimanjaro Christian Medical University College, Moshi, United Republic of Tanzania, Kibong´oto Infectious Diseases Hospital, Sanya Juu, Siha, Kilimanjaro, United Republic of Tanzania
| | - T Schön
- Department of Infectious Diseases, Linköping University Hospital, Linköping, Sweden, Institute of Biomedical and Clinical Sciences, Division of Infection and Inflammation, Linköping University, Linköping, Sweden, Department of Infectious Diseases, Kalmar County Hospital, Kalmar, Linköping University, Linköping, Sweden
| | - G B Migliori
- Servizio di Epidemiologia Clinica delle Malattie Respiratorie, Istituti Clinici Scientifici Maugeri Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Tradate, Italy
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13
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Fang XH, Wu Q, Tao SS, Xu ZW, Zou YF, Ma DC, Pan HF, Hu WB. Social Support and Depression Among Pulmonary Tuberculosis Patients in Anhui, China. J Multidiscip Healthc 2022; 15:595-603. [PMID: 35378743 PMCID: PMC8976513 DOI: 10.2147/jmdh.s356160] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 03/15/2022] [Indexed: 12/18/2022] Open
Abstract
Introduction Pulmonary tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis affecting multiple tissues and organs. It is one of the leading causes of death and is a social disease in China. Increasing studies have revealed that the state of mental health and the social support are associated with the morbidity, mortality and community transmission of pulmonary TB patients. However, the previous global TB control and research strategy focused almost solely on the biomedical aspects. Therefore, in this study, we evaluated the level of depression and explored potential factors, including social support domains and socio-demographic characteristics in pulmonary TB patients to research the mental health state and the association between social support and pulmonary TB, ultimately implementing a multilevel intervene. Methods A cross-sectional study was carried out to describe the status of depression and social support, and explore related factors associated with depression among pulmonary TB patients in Anhui Province, China. Five counties (districts) in Anhui Province, China were selected by simple random sampling method. Patients diagnosed with pulmonary TB eligible to the study criteria were investigated. A structured questionnaire composed of information on socio-demographic characteristics, self-rating depression scale (SDS) and social support rating scale (SSRS) was used to collect the data. Results In this study, a total of 250 questionnaires were issued, and the effective questionnaires 237 were actually returned. Of the 237 patients with pulmonary TB, 71.3% of them were male and the mean age was 46.16 years (SD = 13.09). Depression symptoms were observed in 125 (52.7%) participants. Objective support (β = −0.192, P=0.002) and subjective support (β = −0.158, P = 0.015) had significantly negative effects on depression, while the effect of support utilization was not statistically significant. In contrast, being female (β = 0.119, P = 0.036) and patients with positive sputum smear results (β = 0.140, P = 0.014) were positively related to depression. Patients with monthly income between 500 and 999 were less likely to suffer from depression (β = −0.134, P = 0.024) than those who were poorer. Additionally, both education level and marital status were found to be correlated with social support and depression state (all P<0.05). Discussion In summary, the prevalence of depressive symptoms in pulmonary TB patients were high in Anhui Province, China. Low levels of social support can be an important predictor of depression symptoms. Therefore, screening for depression among pulmonary TB patients in the primary care setting is greatly warranted. Furthermore, psychological interventions should focus on providing available and adequate social support in order to improve mental health of them.
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Affiliation(s)
- Xue-Hui Fang
- Anhui Provincial Chest Hospital (Anhui Institute of Tuberculosis Control), Hefei, Anhui, 230022, People’s Republic of China
- Anhui Provincial Chest Hospital Affiliated to Anhui Medical University, Hefei, Anhui, 230022, People’s Republic of China
| | - Qian Wu
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, People’s Republic of China
| | - Sha-Sha Tao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, People’s Republic of China
| | - Zhi-Wei Xu
- School of Public Health, Faculty of Medicine, University of Queensland, Brisbane, QLD, 4006, Australia
| | - Yan-Feng Zou
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, People’s Republic of China
| | - Dong-Chun Ma
- Anhui Provincial Chest Hospital (Anhui Institute of Tuberculosis Control), Hefei, Anhui, 230022, People’s Republic of China
- Anhui Provincial Chest Hospital Affiliated to Anhui Medical University, Hefei, Anhui, 230022, People’s Republic of China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, People’s Republic of China
- Correspondence: Hai-Feng Pan, Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, People’s Republic of China, Tel +86 551 65161165, Fax +86 551 65161171, Email
| | - Wen-Biao Hu
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, Australia
- Wen-Biao Hu, School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia, Email
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