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Mahmoudi S, Hamidi M, Drain PK. Present outlooks on the prevalence of minimal and subclinical tuberculosis and current diagnostic tests: A systematic review and meta-analysis. J Infect Public Health 2024; 17:102517. [PMID: 39126908 DOI: 10.1016/j.jiph.2024.102517] [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: 09/21/2023] [Revised: 07/18/2024] [Accepted: 08/06/2024] [Indexed: 08/12/2024] Open
Abstract
BACKGROUND Tuberculosis (TB) is a major global health issue, particularly in its minimal and subclinical forms, which often go undetected and contribute to transmission. Accurate prevalence assessment of these forms and the effectiveness of diagnostic tests are crucial for improving TB control, especially in high-risk populations such as those with HIV. OBJECTIVES This study aimed to determine the prevalence of minimal and subclinical TB and evaluate the positivity rates of current diagnostic tests. METHODS We conducted a meta-analysis of studies published from January 2000 to December 2022. Prevalence rates and diagnostic test results, including sputum culture, smear microscopy, TST/IGRA, and chest X-ray, were analyzed, with pooled prevalence calculated and comparisons made between geographic regions. RESULTS Minimal TB prevalence ranged from 0.9 % to 22.9 % in the general population, while subclinical TB prevalence was 0.05 % to 0.64 %, and 1.57 % to 14.63 % among individuals with HIV. The overall pooled prevalence of minimal TB was 7 % (95 % CI: 5-9 %), with higher rates in Asia (8 %, 95 % CI: 5-12 %) compared to Africa (6 %, 95 % CI: 4-8 %). Subclinical TB had a pooled prevalence of 0.2 % (95 % CI: 0.2-0.3 %) overall and 52 % (95 % CI: 46-58 %) among TB cases, with higher rates in Asia (60 %) compared to Africa (44 %). Diagnostic test positivity was 77 % (sputum culture), 15 % (smear microscopy), 64 % (TST/IGRA), and 53 % (chest X-ray). CONCLUSIONS This study reveals significant variability in the prevalence of minimal and subclinical TB. The findings highlight the need for improved diagnostic methods to reduce undetected cases, especially in high-risk populations.
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Affiliation(s)
- Shima Mahmoudi
- Biotechnology Centre, Silesian University of Technology, 44-100 Gliwice, Poland.
| | - Mehrsa Hamidi
- InPedia Association, Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Paul K Drain
- International Clinical Research Center, Department of Global Health, Schools of Medicine and Public Health, University of Washington, Seattle, WA, United States; Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, United States; Division of Allergy and Infectious Diseases, Department of Medicine, School of Medicine, University of Washington, Seattle, WA, United States
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Mahmoudi S, García MJ, Drain PK. Current approaches for diagnosis of subclinical pulmonary tuberculosis, clinical implications and future perspectives: a scoping review. Expert Rev Clin Immunol 2024; 20:715-726. [PMID: 38879875 DOI: 10.1080/1744666x.2024.2326032] [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: 11/12/2023] [Accepted: 02/28/2024] [Indexed: 06/18/2024]
Abstract
INTRODUCTION Subclinical tuberculosis (TB) is the presence of TB disease among people who are either asymptomatic or have minimal symptoms. AREAS COVERED Currently, there are no accurate diagnostic tools and clear treatment approaches for subclinical TB. In this study, a comprehensive literature search was conducted across major databases. This review aimed to uncover the latest advancements in diagnostic approaches, explore their clinical implications, and outline potential future perspectives. While innovative technologies are in development to enable sputum-free TB tests, there remains a critical need for precise diagnostic tools tailored to the unique characteristics of subclinical TB. Given the complexity of subclinical TB, a multidisciplinary approach involving clinicians, microbiologists, epidemiologists, and public health experts is essential. Further research is needed to establish standardized diagnostic criteria and treatment guidelines specifically tailored for subclinical TB, acknowledging the unique challenges posed by this elusive stage of the disease. EXPERT OPINION Efforts are needed for the detection, diagnosis, and treatment of subclinical TB. In this review, we describe the importance of subclinical TB, both from a clinical and public health perspective and highlight the diagnostic and treatment gaps of this stage.
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Affiliation(s)
- Shima Mahmoudi
- Biotechnology Centre, Silesian University of Technology, Gliwice, Poland
| | - Maria J García
- Department of Preventive Medicine and Public Health and Microbiology, Autonoma University of Madrid, Madrid, Spain
| | - Paul K Drain
- International Clinical Research Center, Department of Global Health, Schools of Medicine and Public Health, University of Washington, Seattle, WA, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
- Division of Allergy and Infectious Diseases, Department of Medicine, School of Medicine, University of Washington, Seattle, WA, USA
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Teo AKJ, MacLean ELH, Fox GJ. Subclinical tuberculosis: a meta-analysis of prevalence and scoping review of definitions, prevalence and clinical characteristics. Eur Respir Rev 2024; 33:230208. [PMID: 38719737 PMCID: PMC11078153 DOI: 10.1183/16000617.0208-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 02/12/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND This scoping review aimed to characterise definitions used to describe subclinical tuberculosis (TB), estimate the prevalence in different populations and describe the clinical characteristics and treatment outcomes in the scientific literature. METHODS A systematic literature search was conducted using PubMed. We included studies published in English between January 1990 and August 2022 that defined "subclinical" or "asymptomatic" pulmonary TB disease, regardless of age, HIV status and comorbidities. We estimated the weighted pooled proportions of subclinical TB using a random-effects model by World Health Organization reported TB incidence, populations and settings. We also pooled the proportion of subclinical TB according to definitions described in published prevalence surveys. RESULTS We identified 29 prevalence surveys and 71 other studies. Prevalence survey data (2002-2022) using "absence of cough of any duration" criteria reported higher subclinical TB prevalence than those using the stricter "completely asymptomatic" threshold. Prevalence estimates overlap in studies using other symptoms and cough duration. Subclinical TB in studies was commonly defined as asymptomatic TB disease. Higher prevalence was reported in high TB burden areas, community settings and immunocompetent populations. People with subclinical TB showed less extensive radiographic abnormalities, higher treatment success rates and lower mortality, although studies were few. CONCLUSION A substantial proportion of TB is subclinical. However, prevalence estimates were highly heterogeneous between settings. Most published studies incompletely characterised the phenotype of people with subclinical TB. Standardised definitions and diagnostic criteria are needed to characterise this phenotype. Further research is required to enhance case finding, screening, diagnostics and treatment options for subclinical TB.
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Affiliation(s)
- Alvin Kuo Jing Teo
- Faculty of Medicine and Health, University of Sydney, Sydney, Australia
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Both authors contributed equally
| | - Emily Lai-Ho MacLean
- Faculty of Medicine and Health, University of Sydney, Sydney, Australia
- Both authors contributed equally
| | - Greg J Fox
- Faculty of Medicine and Health, University of Sydney, Sydney, Australia
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Hamada Y, Quartagno M, Law I, Malik F, Bonsu FA, Adetifa IMO, Adusi-Poku Y, D’Alessandro U, Bashorun AO, Begum V, Lolong DB, Boldoo T, Dlamini T, Donkor S, Dwihardiani B, Egwaga S, Farid MN, Garfin AMCG, Gaviola DMG, Husain MM, Ismail F, Kaggwa M, Kamara DV, Kasozi S, Kaswaswa K, Kirenga B, Klinkenberg E, Kondo Z, Lawanson A, Macheque D, Manhiça I, Maama-Maime LB, Mfinanga S, Moyo S, Mpunga J, Mthiyane T, Mustikawati DE, Mvusi L, Nguyen HB, Nguyen HV, Pangaribuan L, Patrobas P, Rahman M, Rahman M, Rahman MS, Raleting T, Riono P, Ruswa N, Rutebemberwa E, Rwabinumi MF, Senkoro M, Sharif AR, Sikhondze W, Sismanidis C, Sovd T, Stavia T, Sultana S, Suriani O, Thomas AM, Tobing K, Van der Walt M, Walusimbi S, Zaman MM, Floyd K, Copas A, Abubakar I, Rangaka MX. Tobacco smoking clusters in households affected by tuberculosis in an individual participant data meta-analysis of national tuberculosis prevalence surveys: Time for household-wide interventions? PLOS GLOBAL PUBLIC HEALTH 2024; 4:e0002596. [PMID: 38422092 PMCID: PMC10903843 DOI: 10.1371/journal.pgph.0002596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Accepted: 01/24/2024] [Indexed: 03/02/2024]
Abstract
Tuberculosis (TB) and non-communicable diseases (NCD) share predisposing risk factors. TB-associated NCD might cluster within households affected with TB requiring shared prevention and care strategies. We conducted an individual participant data meta-analysis of national TB prevalence surveys to determine whether NCD cluster in members of households with TB. We identified eligible surveys that reported at least one NCD or NCD risk factor through the archive maintained by the World Health Organization and searching in Medline and Embase from 1 January 2000 to 10 August 2021, which was updated on 23 March 2023. We compared the prevalence of NCD and their risk factors between people who do not have TB living in households with at least one person with TB (members of households with TB), and members of households without TB. We included 16 surveys (n = 740,815) from Asia and Africa. In a multivariable model adjusted for age and gender, the odds of smoking was higher among members of households with TB (adjusted odds ratio (aOR) 1.23; 95% CI: 1.11-1.38), compared with members of households without TB. The analysis did not find a significant difference in the prevalence of alcohol drinking, diabetes, hypertension, or BMI between members of households with and without TB. Studies evaluating household-wide interventions for smoking to reduce its dual impact on TB and NCD may be warranted. Systematically screening for NCD using objective diagnostic methods is needed to understand the actual burden of NCD and inform comprehensive interventions.
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Affiliation(s)
- Yohhei Hamada
- Institute for Global Health, University College London, London, United Kingdom
| | - Matteo Quartagno
- MRC Clinical Trials Unit, Institute of Clinical Trials and Methodology, University College London, London, United Kingdom
| | - Irwin Law
- Global Tuberculosis Programme, World Health Organization, Geneva, Switzerland
| | - Farihah Malik
- UCL Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Frank Adae Bonsu
- National Tuberculosis Programme, Ghana Health Service, Accra, Ghana
| | - Ifedayo M. O. Adetifa
- Disease Control and Elimination Theme, Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, Gambia
- Department of Infectious Diseases Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Yaw Adusi-Poku
- National Tuberculosis Programme, Ghana Health Service, Accra, Ghana
| | - Umberto D’Alessandro
- Disease Control and Elimination Theme, Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, Gambia
| | - Adedapo Olufemi Bashorun
- Disease Control and Elimination Theme, Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, Gambia
| | - Vikarunnessa Begum
- World Health Organization, Country Office for Bangladesh, Dhaka, Bangladesh
| | | | - Tsolmon Boldoo
- Tuberculosis Surveillance and Research Department, National Center for Communicable Disease, Ulaanbaatar, Mongolia
| | - Themba Dlamini
- Eswatini National Tuberculosis Program, Ministry of Health, Mbabane, Eswatini
| | - Simon Donkor
- Disease Control and Elimination Theme, Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, Gambia
| | - Bintari Dwihardiani
- Center for Tropical Medicine, Faculty of Medicine, Public Health and Nursing, Gadjah Mada University, Yogyakarta, Indonesia
| | - Saidi Egwaga
- Tuberculosis and Leprosy Programme, Ministry of Health and Social Welfare, Dodoma, United Republic of Tanzania
| | | | | | | | | | - Farzana Ismail
- Centre for Tuberculosis: National Institute for Communicable Diseases, a Division of the National Health Laboratory Services, Johannesburg, South Africa
- Department of Medical Microbiology, University of Pretoria, Pretoria, South Africa
| | - Mugagga Kaggwa
- World Health Organization, Country Office for Uganda, Kampala, Uganda
| | - Deus V. Kamara
- Tuberculosis and Leprosy Programme, Ministry of Health and Social Welfare, Dodoma, United Republic of Tanzania
| | - Samuel Kasozi
- National Tuberculosis Control Programme, Ministry of Health, Kampala, Uganda
| | - Kruger Kaswaswa
- National Tuberculosis Programme, Ministry of Health, Lilongwe, Malawi
| | | | - Eveline Klinkenberg
- Department of Global Health, Amsterdam University Medical Centers, Amsterdam, the Netherlands
| | - Zuweina Kondo
- Tuberculosis and Leprosy Programme, Ministry of Health and Social Welfare, Dodoma, United Republic of Tanzania
| | - Adebola Lawanson
- National Tuberculosis and Leprosy Control Programme, Federal Ministry of Health, Abuja, Nigeria
| | - David Macheque
- National Tuberculosis Program, Ministry of Health, Maputo, Mozambique
| | - Ivan Manhiça
- National Tuberculosis Program, Ministry of Health, Maputo, Mozambique
| | | | - Sayoki Mfinanga
- Institute for Global Health, University College London, London, United Kingdom
- National Institute for Medical Research, Muhimbili Medical Research Centre, Dar es Salaam, United Republic of Tanzania
- Liverpool School of Tropical Medicine, Liverpool, United Kingdom
- Department of Epidemiology, Alliance for Africa Health and Research, Dar es Salaam, United Republic of Tanzania
| | - Sizulu Moyo
- Human and Social Capabilities Division, Human Sciences Research Council, Pretoria, South Africa
- School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - James Mpunga
- National Tuberculosis Programme, Ministry of Health, Lilongwe, Malawi
| | - Thuli Mthiyane
- South African Medical Research Council, Cape Town, South Africa
| | | | - Lindiwe Mvusi
- National Department of Health, Pretoria, South Africa
| | | | | | | | - Philip Patrobas
- World Health Organization, Country Office for Nigeria, Abuja, Nigeria
| | - Mahmudur Rahman
- Institute of Epidemiology, Disease Control and Research (IEDCR), Dhaka, Bangladesh
| | - Mahbubur Rahman
- Institute of Epidemiology, Disease Control and Research (IEDCR), Dhaka, Bangladesh
| | | | - Thato Raleting
- National TB and Leprosy Programme, Ministry of Health, Maseru, Lesotho
| | - Pandu Riono
- Department of Biostatistics and Population, Faculty of Public Health, University of Indonesia, Depok, Indonesia
| | - Nunurai Ruswa
- National TB and Leprosy Programme, Ministry of Health and Social Services, Windhoek, Namibia
| | - Elizeus Rutebemberwa
- Department of Health Policy, Planning and Management, Makerere University School of Public Health, Kampala, Uganda
| | | | - Mbazi Senkoro
- National Institute for Medical Research, Muhimbili Medical Research Centre, Dar es Salaam, United Republic of Tanzania
| | - Ahmad Raihan Sharif
- Institute of Epidemiology, Disease Control and Research (IEDCR), Dhaka, Bangladesh
| | - Welile Sikhondze
- Eswatini National Tuberculosis Program, Ministry of Health, Mbabane, Eswatini
| | | | - Tugsdelger Sovd
- Department of Monitoring and Evaluation and Internal Audit, Ministry of Health, Ulaanbaatar, Mongolia
| | - Turyahabwe Stavia
- National Tuberculosis Control Programme, Ministry of Health, Kampala, Uganda
| | - Sabera Sultana
- World Health Organization, Country Office for Bangladesh, Dhaka, Bangladesh
| | | | - Albertina Martha Thomas
- National TB and Leprosy Programme, Ministry of Health and Social Services, Windhoek, Namibia
| | | | | | | | | | - Katherine Floyd
- Global Tuberculosis Programme, World Health Organization, Geneva, Switzerland
| | - Andrew Copas
- Institute for Global Health, University College London, London, United Kingdom
| | - Ibrahim Abubakar
- Institute for Global Health, University College London, London, United Kingdom
| | - Molebogeng X. Rangaka
- Institute for Global Health, University College London, London, United Kingdom
- Division of Epidemiology and Biostatistics & CIDRI-AFRICA, University of Cape Town, Cape Town, South Africa
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Carter N, Webb EL, Lebina L, Motsomi K, Bosch Z, Martinson NA, MacPherson P. Prevalence of subclinical pulmonary tuberculosis and its association with HIV in household contacts of index tuberculosis patients in two South African provinces: a secondary, cross-sectional analysis of a cluster-randomised trial. BMC GLOBAL AND PUBLIC HEALTH 2023; 1:21. [PMID: 38798821 PMCID: PMC11116238 DOI: 10.1186/s44263-023-00022-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 09/19/2023] [Indexed: 05/29/2024]
Abstract
Background People with subclinical tuberculosis (TB) have microbiological evidence of disease caused by Mycobacterium tuberculosis, but either do not have or do not report TB symptoms. The relationship between human immunodeficiency virus (HIV) and subclinical TB is not yet well understood. We estimated the prevalence of subclinical pulmonary TB in household contacts of index TB patients in two South African provinces, and how this differed by HIV status. Methods This was a cross-sectional, secondary analysis of baseline data from the intervention arm of a household cluster randomised trial. Prevalence of subclinical TB was measured as the number of household contacts aged ≥ 5 years who had positive sputum TB microscopy, culture or nucleic acid amplification test (Xpert MTB/Rif or Xpert Ultra) results on a single sputum specimen and who did not report current cough, fever, weight loss or night sweats on direct questioning. Regression analysis was used to calculate odds ratios (OR) and 95% confidence intervals (CI) for the association between HIV status and subclinical TB; adjusting for province, sex and age in household contacts; and HIV status in index patients. Results Amongst household contacts, microbiologically confirmed prevalent subclinical TB was over twice as common as symptomatic TB disease (48/2077, 2.3%, 95% CI 1.7-3.1% compared to 20/2077, 1.0%, 95% CI 0.6-1.5%). Subclinical TB prevalence was higher in people living with HIV (15/377, 4.0%, 95% CI 2.2-6.5%) compared to those who were HIV-negative (33/1696, 1.9%, 95% CI 1.3-2.7%; p = 0.018). In regression analysis, living with HIV (377/2077, 18.2%) was associated with a two-fold increase in prevalent subclinical TB with 95% confidence intervals consistent with no association through to a four-fold increase (adjusted OR 2.00, 95% CI 0.99-4.01, p = 0.052). Living with HIV was associated with a five-fold increase in prevalent symptomatic TB (adjusted OR 5.05, 95% CI 2.22-11.59, p < 0.001). Conclusions Most (70.6%) pulmonary TB diagnosed in household contacts in this setting was subclinical. Living with HIV was likely associated with prevalent subclinical TB and was associated with prevalent symptomatic TB. Universal sputum testing with sensitive assays improves early TB diagnosis in subclinical household contacts. Supplementary Information The online version contains supplementary material available at 10.1186/s44263-023-00022-5.
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Affiliation(s)
- Naomi Carter
- Liverpool School of Tropical Medicine, Liverpool, UK
| | - Emily L. Webb
- MRC International Statistics and Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK
| | - Limakatso Lebina
- Clinical Trials Unit, Africa Health Research Institute, Johannesburg, South Africa
- Perinatal HIV Research Unit (PHRU), University of the Witwatersrand, Johannesburg, South Africa
| | - Kegaugetswe Motsomi
- Perinatal HIV Research Unit (PHRU), University of the Witwatersrand, Johannesburg, South Africa
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Doris Duke Medical Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Zama Bosch
- Perinatal HIV Research Unit (PHRU), University of the Witwatersrand, Johannesburg, South Africa
| | - Neil A. Martinson
- Perinatal HIV Research Unit (PHRU), University of the Witwatersrand, Johannesburg, South Africa
- Johns Hopkins University Center for TB Research, Baltimore, MD USA
| | - Peter MacPherson
- Liverpool School of Tropical Medicine, Liverpool, UK
- School of Health & Wellbeing, University of Glasgow, Glasgow, UK
- Clinical Research Department, London School of Hygiene and Tropical Medicine, London, UK
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6
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Hamada Y, Quartagno M, Law I, Malik F, Bonsu FA, Adetifa IM, Adusi-Poku Y, D'Alessandro U, Bashorun AO, Begum V, Lolong DB, Boldoo T, Dlamini T, Donkor S, Dwihardiani B, Egwaga S, Farid MN, Celina G.Garfin AM, Mae G Gaviola D, Husain MM, Ismail F, Kaggwa M, Kamara DV, Kasozi S, Kaswaswa K, Kirenga B, Klinkenberg E, Kondo Z, Lawanson A, Macheque D, Manhiça I, Maama-Maime LB, Mfinanga S, Moyo S, Mpunga J, Mthiyane T, Mustikawati DE, Mvusi L, Nguyen HB, Nguyen HV, Pangaribuan L, Patrobas P, Rahman M, Rahman M, Rahman MS, Raleting T, Riono P, Ruswa N, Rutebemberwa E, Rwabinumi MF, Senkoro M, Sharif AR, Sikhondze W, Sismanidis C, Sovd T, Stavia T, Sultana S, Suriani O, Thomas AM, Tobing K, Van der Walt M, Walusimbi S, Zaman MM, Floyd K, Copas A, Abubakar I, Rangaka MX. Association of diabetes, smoking, and alcohol use with subclinical-to-symptomatic spectrum of tuberculosis in 16 countries: an individual participant data meta-analysis of national tuberculosis prevalence surveys. EClinicalMedicine 2023; 63:102191. [PMID: 37680950 PMCID: PMC10480554 DOI: 10.1016/j.eclinm.2023.102191] [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: 02/27/2023] [Revised: 07/24/2023] [Accepted: 08/16/2023] [Indexed: 09/09/2023] Open
Abstract
Background Non-communicable diseases (NCDs) and NCD risk factors, such as smoking, increase the risk for tuberculosis (TB). Data are scarce on the risk of prevalent TB associated with these factors in the context of population-wide systematic screening and on the association between NCDs and NCD risk factors with different manifestations of TB, where ∼50% being asymptomatic but bacteriologically positive (subclinical). We did an individual participant data (IPD) meta-analysis of national and sub-national TB prevalence surveys to synthesise the evidence on the risk of symptomatic and subclinical TB in people with NCDs or risk factors, which could help countries to plan screening activities. Methods In this systematic review and IPD meta-analysis, we identified eligible prevalence surveys in low-income and middle-income countries that reported at least one NCD (e.g., diabetes) or NCD risk factor (e.g., smoking, alcohol use) through the archive maintained by the World Health Organization and by searching in Medline and Embase from January 1, 2000 to August 10, 2021. The search was updated on March 23, 2023. We performed a one-stage meta-analysis using multivariable multinomial models. We estimated the proportion of and the odds ratio for subclinical and symptomatic TB compared to people without TB for current smoking, alcohol use, and self-reported diabetes, adjusted for age and gender. Subclinical TB was defined as microbiologically confirmed TB without symptoms of current cough, fever, night sweats, or weight loss and symptomatic TB with at least one of these symptoms. We assessed heterogeneity using forest plots and I2 statistic. Missing variables were imputed through multi-level multiple imputation. This study is registered with PROSPERO (CRD42021272679). Findings We obtained IPD from 16 national surveys out of 21 national and five sub-national surveys identified (five in Asia and 11 in Africa, N = 740,815). Across surveys, 15.1%-56.7% of TB were subclinical (median: 38.1%). In the multivariable model, current smoking was associated with both subclinical (OR 1.67, 95% CI 1.27-2.40) and symptomatic TB (OR 1.49, 95% CI 1.34-1.66). Self-reported diabetes was associated with symptomatic TB (OR 1.67, 95% CI 1.17-2.40) but not with subclinical TB (OR 0.92, 95% CI 0.55-1.55). For alcohol drinking ≥ twice per week vs no alcohol drinking, the estimates were imprecise (OR 1.59, 95% CI 0.70-3.62) for subclinical TB and OR 1.43, 95% CI 0.59-3.46 for symptomatic TB). For the association between current smoking and symptomatic TB, I2 was high (76.5% (95% CI 62.0-85.4), while the direction of the point estimates was consistent except for three surveys with wide CIs. Interpretation Our findings suggest that current smokers are more likely to have both symptomatic and subclinical TB. These individuals can, therefore, be prioritised for intensified screening, such as the use of chest X-ray in the context of community-based screening. People with self-reported diabetes are also more likely to have symptomatic TB, but the association is unclear for subclinical TB. Funding None.
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Affiliation(s)
- Yohhei Hamada
- Institute for Global Health, University College London, United Kingdom
| | - Matteo Quartagno
- MRC Clinical Trials Unit, Institute of Clinical Trials and Methodology, University College London, United Kingdom
| | - Irwin Law
- Global Tuberculosis Programme, World Health Organization, Switzerland
| | - Farihah Malik
- UCL Great Ormond Street Institute of Child Health, University College London, United Kingdom
| | | | - Ifedayo M.O. Adetifa
- Disease Control and Elimination Theme, Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, Gambia
- Department of Infectious Diseases Epidemiology, London School of Hygiene & Tropical Medicine, United Kingdom
| | - Yaw Adusi-Poku
- National Tuberculosis Programme, Ghana Health Service, Ghana
| | - Umberto D'Alessandro
- Disease Control and Elimination Theme, Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, Gambia
| | - Adedapo Olufemi Bashorun
- Disease Control and Elimination Theme, Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, Gambia
| | | | | | - Tsolmon Boldoo
- Tuberculosis Surveillance and Research Department, National Center for Communicable Disease, Mongolia
| | - Themba Dlamini
- Eswatini National Tuberculosis Program, Ministry of Health, Eswatini
| | - Simon Donkor
- Disease Control and Elimination Theme, Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, Gambia
| | - Bintari Dwihardiani
- Center for Tropical Medicine, Faculty of Medicine, Public Health and Nursing, Gadjah Mada University, Indonesia
| | - Saidi Egwaga
- Tuberculosis and Leprosy Programme, Ministry of Health and Social Welfare, United Republic of Tanzania
| | | | | | | | | | - Farzana Ismail
- Centre for Tuberculosis, National Institute for Communicable Diseases, A Division of the National Health Laboratory Services, South Africa
- Department of Medical Microbiology, University of Pretoria, South Africa
| | - Mugagga Kaggwa
- World Health Organization, Country Office for Uganda, Uganda
| | - Deus V. Kamara
- Tuberculosis and Leprosy Programme, Ministry of Health and Social Welfare, United Republic of Tanzania
| | - Samuel Kasozi
- National Tuberculosis Control Programme, Ministry of Health, Uganda
| | | | | | - Eveline Klinkenberg
- Department of Global Health, Amsterdam University Medical Center, Netherlands
| | - Zuweina Kondo
- Tuberculosis and Leprosy Programme, Ministry of Health and Social Welfare, United Republic of Tanzania
| | - Adebola Lawanson
- National Tuberculosis and Leprosy Control Programme, Federal Ministry of Health, Nigeria
| | - David Macheque
- National Tuberculosis Program, Ministry of Health, Mozambique
| | - Ivan Manhiça
- National Tuberculosis Program, Ministry of Health, Mozambique
| | | | - Sayoki Mfinanga
- Institute for Global Health, University College London, United Kingdom
- National Institute for Medical Research, Muhimbili Medical Research Centre, United Republic of Tanzania
- Liverpool School of Tropical Medicine, United Kingdom
- Alliance for Africa Health and Research, United Republic of Tanzania
| | - Sizulu Moyo
- Human Sciences Research Council, South Africa
- School of Public Health and Family Medicine, University of Cape Town, South Africa
| | - James Mpunga
- National Tuberculosis Programme, Ministry of Health, Malawi
| | | | | | | | | | | | | | - Philip Patrobas
- World Health Organization, Country Office for Nigeria, Nigeria
| | - Mahmudur Rahman
- Institute of Epidemiology, Disease Control and Research (IEDCR), Bangladesh
| | - Mahbubur Rahman
- Institute of Epidemiology, Disease Control and Research (IEDCR), Bangladesh
| | | | | | | | | | - Elizeus Rutebemberwa
- Department of Health Policy, Planning and Management, Makerere University School of Public Health, Uganda
| | | | - Mbazi Senkoro
- National Institute for Medical Research, Muhimbili Medical Research Centre, United Republic of Tanzania
| | | | - Welile Sikhondze
- Eswatini National Tuberculosis Program, Ministry of Health, Eswatini
| | | | | | | | - Sabera Sultana
- World Health Organization, Country Office for Bangladesh, Bangladesh
| | | | | | | | | | | | | | - Katherine Floyd
- Global Tuberculosis Programme, World Health Organization, Switzerland
| | - Andrew Copas
- Institute for Global Health, University College London, United Kingdom
| | - Ibrahim Abubakar
- Institute for Global Health, University College London, United Kingdom
| | - Molebogeng X. Rangaka
- Institute for Global Health, University College London, United Kingdom
- Division of Epidemiology and Biostatistics & CIDRI-AFRICA, University of Cape Town, South Africa
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Prevalence and factors associated with tuberculosis among the mining communities in Mererani, Tanzania. PLoS One 2023; 18:e0280396. [PMID: 36920939 PMCID: PMC10016659 DOI: 10.1371/journal.pone.0280396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 12/27/2022] [Indexed: 03/16/2023] Open
Abstract
Tuberculosis (TB) is among diseases of global health importance with Sub Saharan Africa (SSA) accounting for 25% of the global TB burden. TB prevalence among miners in SSA is estimated at 3,000-7,000/100,000, which is about 3 to 10-times higher than in the general population. The study's objective was to determine the prevalence of TB and associated risk factors among mining communities in Mererani, northern Tanzania. This was a cross-sectional study conducted from April 2019 to November 2021 involving current Small Scale Miners (SSM) and the General Community (GC). A total of 660 participants, 330 SSM and 330 GC were evaluated for the presence of TB. Data were analysed using Statistical Package for the Social Sciences (SPSS) database (IBM SPSS Statistics Version 27.0.0.0). Binary logistic regression (Generalized Linear Mixed Model) was used to determine the association between TB and independent predictors. Prevalence of TB was 7%, about 24-times higher than the national prevalence of 0.295%. Participants from the general community had higher prevalence of TB 7.9% than SSM (6.1%). Both for SSM and the GC, TB was found to be associated with: lower education level (aOR = 3.62, 95%CI = 1.16-11.28), previous lung disease (aOR = 4.30, 95%CI = 1.48-12.53) and having symptoms of TB (aOR = 3.24, 95%CI = 1.38-7.64). Specifically for the SSM, TB was found to be associated with Human Immunodeficiency Virus (HIV) infection (aOR = 8.28, 95%CI = 1.21-56.66). Though significant progress has been attained in the control of the TB epidemic in Tanzania, still hot spots with significantly high burden of TB exists, including miners. More importantly, populations surrounding the mining areas, are equally affected, and needs more engagement in the control of TB so as to realize the Global End TB targets of 2035.
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Naufal F, Chaisson LH, Robsky KO, Delgado-Barroso P, Alvarez-Manzo HS, Miller CR, Shapiro AE, Golub JE. Number needed to screen for TB in clinical, structural or occupational risk groups. Int J Tuberc Lung Dis 2022; 26:500-508. [PMID: 35650693 PMCID: PMC9202999 DOI: 10.5588/ijtld.21.0749] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND: Screening for active TB using active case-finding (ACF) may reduce TB incidence, prevalence, and mortality; however, yield of ACF interventions varies substantially across populations. We systematically reviewed studies reporting on ACF to calculate the number needed to screen (NNS) for groups at high risk for TB.METHODS: We conducted a literature search for studies reporting ACF for adults published between November 2010 and February 2020. We determined active TB prevalence detected through various screening strategies and calculated crude NNS for - TB confirmed using culture or Xpert® MTB/RIF, and weighted mean NNS stratified by screening strategy, risk group, and country-level TB incidence.RESULTS: We screened 27,223 abstracts; 90 studies were included (41 in low/moderate and 49 in medium/high TB incidence settings). High-risk groups included inpatients, outpatients, people living with diabetes (PLWD), migrants, prison inmates, persons experiencing homelessness (PEH), healthcare workers, and miners. Screening strategies included symptom-based screening, chest X-ray and Xpert testing. NNS varied widely across and within incidence settings based on risk groups and screening methods. Screening tools with higher sensitivity (e.g., Xpert, CXR) were associated with lower NNS estimates.CONCLUSIONS: NNS for ACF strategies varies substantially between adult risk groups. Specific interventions should be tailored based on local epidemiology and costs.
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Affiliation(s)
- F Naufal
- Department of Medicine, Johns Hopkins University, Baltimore, MD
| | - L H Chaisson
- Division of Infectious Diseases, Department of Medicine, University of Illinois at Chicago, Chicago, IL
| | - K O Robsky
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA
| | - P Delgado-Barroso
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA
| | - H S Alvarez-Manzo
- Department of Molecular Microbiology and Immunology, Johns Hopkins University, Baltimore, MD, USA
| | - C R Miller
- World Health Organization, Geneva, Switzerland
| | - A E Shapiro
- Departments of Global Health and Medicine, University of Washington, Seattle, WA
| | - J E Golub
- Division of Infectious Diseases, Department of Medicine, University of Illinois at Chicago, Chicago, IL, Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA, Department of International Health, Johns Hopkins University, Baltimore, MD, USA
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9
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de Villiers AK, Dye C, Yaesoubi R, Cohen T, Marx FM. Spatially targeted digital chest radiography to reduce tuberculosis in high-burden settings: a study of adaptive decision making. Epidemics 2022; 38:100540. [PMID: 35093849 PMCID: PMC8983993 DOI: 10.1016/j.epidem.2022.100540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 01/19/2022] [Accepted: 01/20/2022] [Indexed: 11/19/2022] Open
Abstract
Background: Spatially-targeted approaches to screen for tuberculosis (TB) could accelerate TB control in high-burden populations. We aimed to estimate gains in case-finding yield under an adaptive decision-making approach for spatially-targeted, mobile digital chest radiography (dCXR)-based screening in communities with varying levels of TB prevalence. Methods: We used a Monte-Carlo simulation model to simulate a spatially-targeted screening intervention in 24 communities with TB prevalence estimates derived from a large community-randomized trial. We implemented a Thompson sampling algorithm to allocate screening units based on Bayesian probabilities of local TB prevalence that are continuously updated during weekly screening rounds. Four mobile units for dCXR-based screening and subsequent Xpert Ultra-based testing were allocated among the communities during a 52-week period. We estimated the yield of bacteriologically-confirmed TB per 1000 screenings comparing scenarios of spatially-targeted and untargeted resource allocation. Results: We estimated that under the untargeted scenario, an expected 666 (95% uncertainty interval 522–825) TB cases would be detected over one year, equivalent to 8.9 (7.5–10.3) per 1000 individuals screened. Allocating the screening units to the communities with the highest (prior-year) cases notification rates resulted in an expected 760 (617–926) TB cases detected, 10.1 (8.6–11.8) per 1000 screened. Adaptive, spatially-targeted screening resulted in an expected 1241 (995–1502) TB cases detected, 16.5 (14.5–18.7) per 1000 screened. Numbers of dCXR-based screenings needed to detect one additional TB case declined during the first 12–14 weeks as a result of Bayesian learning. Conclusion: We introduce a spatially-targeted screening strategy that could reduce the number of screenings necessary to detect additional TB in high-burden settings and thus improve the efficiency of screening interventions. Empirical trials are needed to determine whether this approach could be successfully implemented.
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Affiliation(s)
- Abigail K de Villiers
- DSI-NRF South African Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Western Cape, South Africa.
| | - Christopher Dye
- Department of Biology, University of Oxford, Oxford, United Kingdom.
| | - Reza Yaesoubi
- Department of Health Policy and Management and the Public Health Modeling Unit, Yale School of Public Health, New Haven, USA.
| | - Ted Cohen
- Department of Epidemiology of Microbial Diseases and the Public Health Modeling Unit, Yale School of Public Health, New Haven, USA.
| | - Florian M Marx
- DSI-NRF South African Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Western Cape, South Africa; Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Health Sciences, Stellenbosch University, Cape Town, South Africa.
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10
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Mendelsohn SC, Fiore-Gartland A, Penn-Nicholson A, Mulenga H, Mbandi SK, Borate B, Hadley K, Hikuam C, Musvosvi M, Bilek N, Erasmus M, Jaxa L, Raphela R, Nombida O, Kaskar M, Sumner T, White RG, Innes C, Brumskine W, Hiemstra A, Malherbe ST, Hassan-Moosa R, Tameris M, Walzl G, Naidoo K, Churchyard G, Scriba TJ, Hatherill M. Validation of a host blood transcriptomic biomarker for pulmonary tuberculosis in people living with HIV: a prospective diagnostic and prognostic accuracy study. LANCET GLOBAL HEALTH 2021; 9:e841-e853. [PMID: 33862012 PMCID: PMC8131200 DOI: 10.1016/s2214-109x(21)00045-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 01/18/2021] [Accepted: 01/27/2021] [Indexed: 12/21/2022]
Abstract
Background A rapid, blood-based triage test that allows targeted investigation for tuberculosis at the point of care could shorten the time to tuberculosis treatment and reduce mortality. We aimed to test the performance of a host blood transcriptomic signature (RISK11) in diagnosing tuberculosis and predicting progression to active pulmonary disease (prognosis) in people with HIV in a community setting. Methods In this prospective diagnostic and prognostic accuracy study, adults (aged 18–59 years) with HIV were recruited from five communities in South Africa. Individuals with a history of tuberculosis or household exposure to multidrug-resistant tuberculosis within the past 3 years, comorbid risk factors for tuberculosis, or any condition that would interfere with the study were excluded. RISK11 status was assessed at baseline by real-time PCR; participants and study staff were masked to the result. Participants underwent active surveillance for microbiologically confirmed tuberculosis by providing spontaneously expectorated sputum samples at baseline, if symptomatic during 15 months of follow-up, and at 15 months (the end of the study). The coprimary outcomes were the prevalence and cumulative incidence of tuberculosis disease confirmed by a positive Xpert MTB/RIF, Xpert Ultra, or Mycobacteria Growth Indicator Tube culture, or a combination of such, on at least two separate sputum samples collected within any 30-day period. Findings Between March 22, 2017, and May 15, 2018, 963 participants were assessed for eligibility and 861 were enrolled. Among 820 participants with valid RISK11 results, eight (1%) had prevalent tuberculosis at baseline: seven (2·5%; 95% CI 1·2–5·0) of 285 RISK11-positive participants and one (0·2%; 0·0–1·1) of 535 RISK11-negative participants. The relative risk (RR) of prevalent tuberculosis was 13·1 times (95% CI 2·1–81·6) greater in RISK11-positive participants than in RISK11-negative participants. RISK11 had a diagnostic area under the receiver operating characteristic curve (AUC) of 88·2% (95% CI 77·6–96·7), and a sensitivity of 87·5% (58·3–100·0) and specificity of 65·8% (62·5–69·0) at a predefined score threshold (60%). Of those with RISK11 results, eight had primary endpoint incident tuberculosis during 15 months of follow-up. Tuberculosis incidence was 2·5 per 100 person-years (95% CI 0·7–4·4) in the RISK11-positive group and 0·2 per 100 person-years (0·0–0·5) in the RISK11-negative group. The probability of primary endpoint incident tuberculosis was greater in the RISK11-positive group than in the RISK11-negative group (cumulative incidence ratio 16·0 [95% CI 2·0–129·5]). RISK11 had a prognostic AUC of 80·0% (95% CI 70·6–86·9), and a sensitivity of 88·6% (43·5–98·7) and a specificity of 68·9% (65·3–72·3) for incident tuberculosis at the 60% threshold. Interpretation RISK11 identified prevalent tuberculosis and predicted risk of progression to incident tuberculosis within 15 months in ambulant people living with HIV. RISK11's performance approached, but did not meet, WHO's target product profile benchmarks for screening and prognostic tests for tuberculosis. Funding Bill & Melinda Gates Foundation and the South African Medical Research Council.
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Affiliation(s)
- Simon C Mendelsohn
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Andrew Fiore-Gartland
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Adam Penn-Nicholson
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Humphrey Mulenga
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Stanley Kimbung Mbandi
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Bhavesh Borate
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Katie Hadley
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Chris Hikuam
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Munyaradzi Musvosvi
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Nicole Bilek
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Mzwandile Erasmus
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Lungisa Jaxa
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Rodney Raphela
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Onke Nombida
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Masooda Kaskar
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Tom Sumner
- TB Modelling Group, TB Centre, Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Richard G White
- TB Modelling Group, TB Centre, Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Craig Innes
- The Aurum Institute, Johannesburg, South Africa
| | | | - Andriëtte Hiemstra
- DST/NRF Centre of Excellence for Biomedical TB Research, Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Stellenbosch University, Cape Town, South Africa; SAMRC Centre for TB Research, Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Stellenbosch University, Cape Town, South Africa
| | - Stephanus T Malherbe
- DST/NRF Centre of Excellence for Biomedical TB Research, Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Stellenbosch University, Cape Town, South Africa; SAMRC Centre for TB Research, Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Stellenbosch University, Cape Town, South Africa
| | - Razia Hassan-Moosa
- Centre for the AIDS Programme of Research in South Africa, Durban, South Africa; MRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa
| | - Michèle Tameris
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Gerhard Walzl
- DST/NRF Centre of Excellence for Biomedical TB Research, Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Stellenbosch University, Cape Town, South Africa; SAMRC Centre for TB Research, Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Stellenbosch University, Cape Town, South Africa
| | - Kogieleum Naidoo
- Centre for the AIDS Programme of Research in South Africa, Durban, South Africa; MRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa
| | - Gavin Churchyard
- The Aurum Institute, Johannesburg, South Africa; School of Public Health, University of Witwatersrand, Johannesburg, South Africa
| | - Thomas J Scriba
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Mark Hatherill
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa.
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11
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Shapiro AE, Ross JM, Yao M, Schiller I, Kohli M, Dendukuri N, Steingart KR, Horne DJ. Xpert MTB/RIF and Xpert Ultra assays for screening for pulmonary tuberculosis and rifampicin resistance in adults, irrespective of signs or symptoms. Cochrane Database Syst Rev 2021; 3:CD013694. [PMID: 33755189 PMCID: PMC8437892 DOI: 10.1002/14651858.cd013694.pub2] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Tuberculosis is a leading cause of infectious disease-related death and is one of the top 10 causes of death worldwide. The World Health Organization (WHO) recommends the use of specific rapid molecular tests, including Xpert MTB/RIF or Xpert Ultra, as initial diagnostic tests for the detection of tuberculosis and rifampicin resistance in people with signs and symptoms of tuberculosis. However, the WHO estimates that nearly one-third of all active tuberculosis cases go undiagnosed and unreported. We were interested in whether a single test, Xpert MTB/RIF or Xpert Ultra, could be useful as a screening test to close this diagnostic gap and improve tuberculosis case detection. OBJECTIVES To estimate the accuracy of Xpert MTB/RIF and Xpert Ultra for screening for pulmonary tuberculosis in adults, irrespective of signs or symptoms of pulmonary tuberculosis in high-risk groups and in the general population. Screening "irrespective of signs or symptoms" refers to screening of people who have not been assessed for the presence of tuberculosis symptoms (e.g. cough). To estimate the accuracy of Xpert MTB/RIF and Xpert Ultra for detecting rifampicin resistance in adults screened for tuberculosis, irrespective of signs and symptoms of pulmonary tuberculosis in high-risk groups and in the general population. SEARCH METHODS We searched 12 databases including the Cochrane Infectious Diseases Group Specialized Register, MEDLINE and Embase, on 19 March 2020 without language restrictions. We also reviewed reference lists of included articles and related Cochrane Reviews, and contacted researchers in the field to identify additional studies. SELECTION CRITERIA Cross-sectional and cohort studies in which adults (15 years and older) in high-risk groups (e.g. people living with HIV, household contacts of people with tuberculosis) or in the general population were screened for pulmonary tuberculosis using Xpert MTB/RIF or Xpert Ultra. For tuberculosis detection, the reference standard was culture. For rifampicin resistance detection, the reference standards were culture-based drug susceptibility testing and line probe assays. DATA COLLECTION AND ANALYSIS Two review authors independently extracted data using a standardized form and assessed risk of bias and applicability using QUADAS-2. We used a bivariate random-effects model to estimate pooled sensitivity and specificity with 95% credible intervals (CrIs) separately for tuberculosis detection and rifampicin resistance detection. We estimated all models using a Bayesian approach. For tuberculosis detection, we first estimated screening accuracy in distinct high-risk groups, including people living with HIV, household contacts, people residing in prisons, and miners, and then in several high-risk groups combined. MAIN RESULTS We included a total of 21 studies: 18 studies (13,114 participants) evaluated Xpert MTB/RIF as a screening test for pulmonary tuberculosis and one study (571 participants) evaluated both Xpert MTB/RIF and Xpert Ultra. Three studies (159 participants) evaluated Xpert MTB/RIF for rifampicin resistance. Fifteen studies (75%) were conducted in high tuberculosis burden and 16 (80%) in high TB/HIV-burden countries. We judged most studies to have low risk of bias in all four QUADAS-2 domains and low concern for applicability. Xpert MTB/RIF and Xpert Ultra as screening tests for pulmonary tuberculosis In people living with HIV (12 studies), Xpert MTB/RIF pooled sensitivity and specificity (95% CrI) were 61.8% (53.6 to 69.9) (602 participants; moderate-certainty evidence) and 98.8% (98.0 to 99.4) (4173 participants; high-certainty evidence). Of 1000 people where 50 have tuberculosis on culture, 40 would be Xpert MTB/RIF-positive; of these, 9 (22%) would not have tuberculosis (false-positives); and 960 would be Xpert MTB/RIF-negative; of these, 19 (2%) would have tuberculosis (false-negatives). In people living with HIV (1 study), Xpert Ultra sensitivity and specificity (95% CI) were 69% (57 to 80) (68 participants; very low-certainty evidence) and 98% (97 to 99) (503 participants; moderate-certainty evidence). Of 1000 people where 50 have tuberculosis on culture, 53 would be Xpert Ultra-positive; of these, 19 (36%) would not have tuberculosis (false-positives); and 947 would be Xpert Ultra-negative; of these, 16 (2%) would have tuberculosis (false-negatives). In non-hospitalized people in high-risk groups (5 studies), Xpert MTB/RIF pooled sensitivity and specificity were 69.4% (47.7 to 86.2) (337 participants, low-certainty evidence) and 98.8% (97.2 to 99.5) (8619 participants, moderate-certainty evidence). Of 1000 people where 10 have tuberculosis on culture, 19 would be Xpert MTB/RIF-positive; of these, 12 (63%) would not have tuberculosis (false-positives); and 981 would be Xpert MTB/RIF-negative; of these, 3 (0%) would have tuberculosis (false-negatives). We did not identify any studies using Xpert MTB/RIF or Xpert Ultra for screening in the general population. Xpert MTB/RIF as a screening test for rifampicin resistance Xpert MTB/RIF sensitivity was 81% and 100% (2 studies, 20 participants; very low-certainty evidence), and specificity was 94% to 100%, (3 studies, 139 participants; moderate-certainty evidence). AUTHORS' CONCLUSIONS Of the high-risks groups evaluated, Xpert MTB/RIF applied as a screening test was accurate for tuberculosis in high tuberculosis burden settings. Sensitivity and specificity were similar in people living with HIV and non-hospitalized people in high-risk groups. In people living with HIV, Xpert Ultra sensitivity was slightly higher than that of Xpert MTB/RIF and specificity similar. As there was only one study of Xpert Ultra in this analysis, results should be interpreted with caution. There were no studies that evaluated the tests in people with diabetes mellitus and other groups considered at high-risk for tuberculosis, or in the general population.
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Affiliation(s)
- Adrienne E Shapiro
- Division of Allergy & Infectious Diseases, Global Health & Medicine, University of Washington, Seattle, USA
| | - Jennifer M Ross
- Division of Allergy & Infectious Diseases, Global Health & Medicine, University of Washington, Seattle, USA
| | - Mandy Yao
- Centre for Outcomes Research, McGill University Health Centre - Research Institute, Montreal, Canada
| | - Ian Schiller
- Centre for Outcomes Research, McGill University Health Centre - Research Institute, Montreal, Canada
| | - Mikashmi Kohli
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada
| | - Nandini Dendukuri
- Centre for Outcomes Research, McGill University Health Centre - Research Institute, Montreal, Canada
| | - Karen R Steingart
- Honorary Research Fellow, Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - David J Horne
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, and Firland Northwest TB Center, University of Washington, Seattle, WA, USA
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12
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Peprah E, Armstrong-Hough M, Cook SH, Mukasa B, Taylor JY, Xu H, Chang L, Gyamfi J, Ryan N, Ojo T, Snyder A, Iwelunmor J, Ezechi O, Iyegbe C, O’Reilly P, Pascal Kengne A. An Emerging Syndemic of Smoking and Cardiopulmonary Diseases in People Living with HIV in Africa. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:3111. [PMID: 33803504 PMCID: PMC8003038 DOI: 10.3390/ijerph18063111] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 03/11/2021] [Accepted: 03/14/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND African countries have the highest number of people living with HIV (PWH). The continent is home to 12% of the global population, but accounts for 71% of PWH globally. Antiretroviral therapy has played an important role in the reduction of the morbidity and mortality rates for HIV, which necessitates increased surveillance of the threats from pernicious risks to which PWH who live longer remain exposed. This includes cardiopulmonary comorbidities, which pose significant public health and economic challenges. A significant contributor to the cardiopulmonary comorbidities is tobacco smoking. Indeed, globally, PWH have a 2-4-fold higher utilization of tobacco compared to the general population, leading to endothelial dysfunction and atherogenesis that result in cardiopulmonary diseases, such as chronic obstructive pulmonary disease and coronary artery disease. In the context of PWH, we discuss (1) the current trends in cigarette smoking and (2) the lack of geographically relevant data on the cardiopulmonary conditions associated with smoking; we then review (3) the current evidence on chronic inflammation induced by smoking and the potential pathways for cardiopulmonary disease and (4) the multifactorial nature of the syndemic of smoking, HIV, and cardiopulmonary diseases. This commentary calls for a major, multi-setting cohort study using a syndemics framework to assess cardiopulmonary disease outcomes among PWH who smoke. CONCLUSION We call for a parallel program of implementation research to promote the adoption of evidence-based interventions, which could improve health outcomes for PWH with cardiopulmonary diseases and address the health inequities experienced by PWH in African countries.
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Affiliation(s)
- Emmanuel Peprah
- School of Global Public Health, New York University, New York, NY 10012, USA; (M.A.-H.); (S.H.C.); (J.G.); (N.R.); (T.O.); (A.S.)
| | - Mari Armstrong-Hough
- School of Global Public Health, New York University, New York, NY 10012, USA; (M.A.-H.); (S.H.C.); (J.G.); (N.R.); (T.O.); (A.S.)
| | - Stephanie H. Cook
- School of Global Public Health, New York University, New York, NY 10012, USA; (M.A.-H.); (S.H.C.); (J.G.); (N.R.); (T.O.); (A.S.)
| | | | | | - Huichun Xu
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA;
| | - Linda Chang
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD 21201, USA;
| | - Joyce Gyamfi
- School of Global Public Health, New York University, New York, NY 10012, USA; (M.A.-H.); (S.H.C.); (J.G.); (N.R.); (T.O.); (A.S.)
| | - Nessa Ryan
- School of Global Public Health, New York University, New York, NY 10012, USA; (M.A.-H.); (S.H.C.); (J.G.); (N.R.); (T.O.); (A.S.)
| | - Temitope Ojo
- School of Global Public Health, New York University, New York, NY 10012, USA; (M.A.-H.); (S.H.C.); (J.G.); (N.R.); (T.O.); (A.S.)
| | - Anya Snyder
- School of Global Public Health, New York University, New York, NY 10012, USA; (M.A.-H.); (S.H.C.); (J.G.); (N.R.); (T.O.); (A.S.)
| | - Juliet Iwelunmor
- College for Public Health and Social Justice, Saint Louis University, St. Louis, MO 63103, USA;
| | - Oliver Ezechi
- Nigerian Institute of Medical Research, Lagos, Nigeria;
| | - Conrad Iyegbe
- Icahn School of Medicine at Mount Sinai, Mount Sinai Hospital, New York, NY 10029, USA; (C.I.); (P.O.); (A.P.K.)
| | - Paul O’Reilly
- Icahn School of Medicine at Mount Sinai, Mount Sinai Hospital, New York, NY 10029, USA; (C.I.); (P.O.); (A.P.K.)
| | - Andre Pascal Kengne
- Icahn School of Medicine at Mount Sinai, Mount Sinai Hospital, New York, NY 10029, USA; (C.I.); (P.O.); (A.P.K.)
- South African Medical Research Council, Cape Town, South Africa
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13
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Biomarker-guided tuberculosis preventive therapy (CORTIS): a randomised controlled trial. THE LANCET. INFECTIOUS DISEASES 2021; 21:354-365. [PMID: 33508224 PMCID: PMC7907670 DOI: 10.1016/s1473-3099(20)30914-2] [Citation(s) in RCA: 77] [Impact Index Per Article: 25.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 10/30/2020] [Accepted: 11/17/2020] [Indexed: 12/19/2022]
Abstract
Background Targeted preventive therapy for individuals at highest risk of incident tuberculosis might impact the epidemic by interrupting transmission. We tested performance of a transcriptomic signature of tuberculosis (RISK11) and efficacy of signature-guided preventive therapy in parallel, using a hybrid three-group study design. Methods Adult volunteers aged 18–59 years were recruited at five geographically distinct communities in South Africa. Whole blood was sampled for RISK11 by quantitative RT-PCR assay from eligible volunteers without HIV, recent previous tuberculosis (ie, <3 years before screening), or comorbidities at screening. RISK11-positive participants were block randomised (1:2; block size 15) to once-weekly, directly-observed, open-label isoniazid and rifapentine for 12 weeks (ie, RISK11 positive and 3HP positive), or no treatment (ie, RISK11 positive and 3HP negative). A subset of eligible RISK11-negative volunteers were randomly assigned to no treatment (ie, RISK11 negative and 3HP negative). Diagnostic discrimination of prevalent tuberculosis was tested in all participants at baseline. Thereafter, prognostic discrimination of incident tuberculosis was tested in the untreated RISK11-positive versus RISK11-negative groups, and treatment efficacy in the 3HP-treated versus untreated RISK11-positive groups, during active surveillance through 15 months. The primary endpoint was microbiologically confirmed pulmonary tuberculosis. The primary outcome measures were risk ratio [RR] for tuberculosis of RISK11-positive to RISK11-negative participants, and treatment efficacy. This trial is registered with ClinicalTrials.gov, NCT02735590. Findings 20 207 volunteers were screened, and 2923 participants were enrolled, including RISK11-positive participants randomly assigned to 3HP (n=375) or no 3HP (n=764), and 1784 RISK11-negative participants. Cumulative probability of prevalent or incident tuberculosis disease was 0·066 (95% CI 0·049 to 0·084) in RISK11-positive (3HP negative) participants and 0·018 (0·011 to 0·025) in RISK11-negative participants (RR 3·69, 95% CI 2·25–6·05) over 15 months. Tuberculosis prevalence was 47 (4·1%) of 1139 versus 14 (0·78%) of 1984 in RISK11-positive compared with RISK11-negative participants, respectively (diagnostic RR 5·13, 95% CI 2·93 to 9·43). Tuberculosis incidence over 15 months was 2·09 (95% CI 0·97 to 3·19) vs 0·80 (0·30 to 1·30) per 100 person years in RISK11-positive (3HP-negative) participants compared with RISK11-negative participants (cumulative incidence ratio 2·6, 95% CI 1·2 to 5·9). Serious adverse events related to 3HP included one hospitalisation for seizures (unintentional isoniazid overdose) and one death of unknown cause (possibly temporally related). Tuberculosis incidence over 15 months was 1·94 (95% CI 0·35 to 3·50) versus 2·09 (95% CI 0·97 to 3·19) per 100 person-years in 3HP-treated RISK11-positive participants compared with untreated RISK11-positive participants (efficacy 7·0%, 95% CI −145 to 65). Interpretation The RISK11 signature discriminated between individuals with prevalent tuberculosis, or progression to incident tuberculosis, and individuals who remained healthy, but provision of 3HP to signature-positive individuals after exclusion of baseline disease did not reduce progression to tuberculosis over 15 months. Funding Bill and Melinda Gates Foundation, South African Medical Research Council.
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