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Brümmer LE, Ryckman TS, Shrestha S, Marx FM, Worodria W, Christopher DJ, Theron G, Cattamanchi A, Denkinger CM, Dowdy DW, Kendall EA. Importance of confirmatory test characteristics in optimizing community-based screening for tuberculosis: An epidemiological modeling analysis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2025:2025.05.09.25327330. [PMID: 40385422 PMCID: PMC12083569 DOI: 10.1101/2025.05.09.25327330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 05/20/2025]
Abstract
Background Current active case-finding (ACF) efforts for tuberculosis (TB) are limited by the costs, operational barriers, and sensitivity of available tools to confirm a TB diagnosis. However, it is not well understood which of these limitations has the greatest epidemiological relevance and might therefore warrant prioritization in test development. Methods We developed a state-transition model of a one-time, community-based ACF intervention, with a fixed budget of one million United States dollars for screening and confirmatory testing. Assuming an adult population with four time the national prevalence of Uganda, we compared the impact of this intervention on TB diagnoses, mortality, and transmission when using a currently available confirmatory test (mirroring sputum-based Xpert Ultra) versus an improved confirmatory test. We considered the following test improvements: (1) increased sensitivity (from 69% to 80%), (2) non-sputum specimen type (increasing specimen availability from 93% to 100%), (3) immediate turn-around of test results (increasing delivery of positive results from 91% to 100%), (4) reduced costs (from $20 to $9 per confirmatory test). For those individuals not included in ACF efforts, TB outcomes under routine care were informed by recent natural history models. Results In a simulated target population of 400,000 adults, 6,421 (1.6%; 95% uncertainty range [UR] 5,316-7,531) had TB disease, and 873 (612-1,182) were projected to die of TB in the absence of ACF. Assuming current tests, ACF efforts could reach 83,808 (59,388-118,601; 21% of the target population) people under the allotted budget, connecting 651 (429-983) individuals with TB to treatment and averting 76 (39-132) deaths. Of all hypothetical confirmatory test improvements modeled, higher diagnostic sensitivity most increased the number of people with TB who received treatment as a result of ACF (by 14% [4-26%]). However, considering mortality or transmission as a metric, the largest reductions resulted from tests that provided immediate turn-around of results (by 11% [5-18%]). Conclusion Making confirmatory tests for community-based TB screening more accessible and rapid may lead to greater population health benefits than further increasing sensitivity. Nonetheless, achieving large (>20%) increases in the health impact of ACF will require improvements to components of ACF other than the confirmatory diagnostic test.
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Dheda K, Perumal T, Fox GJ. Asymptomatic tuberculosis: undetected and underestimated, but not unimportant. Lancet 2025:S0140-6736(25)00555-0. [PMID: 40127658 DOI: 10.1016/s0140-6736(25)00555-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2025] [Accepted: 03/18/2025] [Indexed: 03/26/2025]
Affiliation(s)
- Keertan Dheda
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine and UCT Lung Institute and South African MRC/UCT Centre for the Study of Antimicrobial Resistance, University of Cape Town, Cape Town 7925, South Africa; Faculty of Infectious and Tropical Diseases, Department of Immunology and Infection, London School of Hygiene & Tropical Medicine, London, UK.
| | - Tahlia Perumal
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine and UCT Lung Institute and South African MRC/UCT Centre for the Study of Antimicrobial Resistance, University of Cape Town, Cape Town 7925, South Africa
| | - Greg J Fox
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
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van Wyk SS, Blose N, Kapanda-Phiri L, Claassens M, Young T. The effectiveness of community-wide screening for pulmonary tuberculosis: a systematic review. EClinicalMedicine 2025; 79:103010. [PMID: 39810936 PMCID: PMC11731502 DOI: 10.1016/j.eclinm.2024.103010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2024] [Revised: 11/28/2024] [Accepted: 11/28/2024] [Indexed: 01/16/2025] Open
Abstract
This systematic review evaluated the effectiveness of community-wide screening for pulmonary tuberculosis (TB) in high-burden areas by analysing randomised controlled trials (RCTs). The review focused on interventions offering TB screening to entire communities, comparing them to standard care or alternative approaches. The main outcome assessed was microbiologically confirmed TB diagnoses, including rates and prevalence. We searched MEDLINE, Embase, Cochrane Central Register of Controlled Trials, WHO Global Index Medicus, Web of Science, and trial registries up to 27 May 2024, without language restrictions. Screening, data extraction, and risk of bias assessment were done in duplicate. Results were not pooled. Certainty of the evidence was assessed using GRADE. PROSPERO: CRD42023453356. We included six cluster-RCTs after screening 2460 titles/abstracts and 86 full-text articles. The evidence for symptom screening was very uncertain. We found that sputum smear microscopy screening may result in little to no difference in the prevalence of culture-confirmed TB (n = 962,655, RR 1.09; 95% CI: 0.86-1.38, 1 RCT, low certainty evidence). Community-wide nucleic acid amplification test (NAAT) screening probably reduces the prevalence of NAAT-positive TB (n = 105,108, RR 0.56; 95% CI: 0.40-0.78, 1 RCT, moderate certainty evidence). Community-wide screening for pulmonary TB may reduce TB prevalence if done annually with an accurate screening test and high coverage.
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Affiliation(s)
- Susanna S. van Wyk
- Division of Epidemiology and Biostatistics, Department of Global Health, Stellenbosch University, Western Cape, South Africa
| | | | - Lester Kapanda-Phiri
- Division of Epidemiology and Biostatistics, Department of Global Health, Stellenbosch University, Western Cape, South Africa
| | - Mareli Claassens
- Department of Human, Biological and Translational Medical Science, University of Namibia, Windhoek, Namibia
| | - Taryn Young
- Division of Epidemiology and Biostatistics, Department of Global Health, Stellenbosch University, Western Cape, South Africa
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Bezuidenhout C, Long L, Nichols B, Meyer-Rath G, Fox MP, Olifant S, Theron G, Fiphaza K, Ruhwald M, Penn-Nicholson A, Fourie B, Medina-Marino A. USING SPUTUM AND TONGUE SWAB SPECIMENS FOR IN-HOME POINT-OF-CARE TARGETED UNIVERSAL TESTING FOR TB OF HOUSEHOLD CONTACTS: AN ACCEPTABILITY AND FEASIBILITY ANALYSIS. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.11.01.24316570. [PMID: 39574838 PMCID: PMC11581095 DOI: 10.1101/2024.11.01.24316570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/29/2024]
Abstract
Introduction Effective strategies are needed to facilitate early detection and diagnosis of tuberculosis (TB). The overreliance on passive case detection, symptom screening, and collection of sputum, results in delayed or undiagnosed TB, which directly contributes to on-going TB transmission. We assessed the acceptability and feasibility of in-home, Targeted Universal TB Testing (TUTT) of household contacts using GeneXpert MTB/RIF Ultra at point-of-care (POC) during household contact investigations (HCIs) and compared the feasibility of using sputum vs. tongue swab specimens. Methods Household contacts (HHCs) receiving in-home POC TUTT as part of the TB Home Study were asked to complete a post-test acceptability survey. The survey explored HHC's level of comfort, confidence in the test results, and the perceived appropriateness of in-home POC TUTT. We used the Metrics to Assess the Feasibility of Rapid Point-of-Care Technologies framework to assess the feasibility of using sputum and tongue swab specimens for in-home POC TUTT. Descriptive statistics were used to report participant responses and feasibility metrics. Results Of 313 eligible HHCs, 267/313 (85.3%) consented to in-home POC TUTT. Of those, 267/267 (100%) provided a tongue swab and 46/267 (17.2%) could expectorate sputum. All specimens were successfully prepared for immediate, in-home testing with Xpert Ultra on GeneXpert Edge. Of 164 tongue swab tests conducted, 160/164 (97.6%) generated a valid test result compared to 44/46 (95.7%) sputum-based tests. An immediate test result was available for 262/267 (98.1%) individuals based on in-home swab testing, and 44/46 (95.7%) based on in-home sputum testing. The mean in-home POC TUTT acceptability score (5=highly acceptable) was 4.5/5 (SD= 0.2). Conclusion In-home, POC TUTT using either sputum or tongue swab specimens was highly acceptable and feasible. Tongue swab specimens greatly increase the proportion of HHCs tested compared to sputum. In-home POC TUTT using a combination of sputum and tongue swabs can mitigate shortcomings to case detection.
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Affiliation(s)
- Charl Bezuidenhout
- Department of Global Health, Boston University School of Public Health, Boston, U.S
| | - Lawrence Long
- Department of Global Health, Boston University School of Public Health, Boston, U.S
- Health Economics and Epidemiology Research Office, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - Brooke Nichols
- Department of Global Health, Boston University School of Public Health, Boston, U.S
- Wits Diagnostic Innovation Hub, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
- Department of Global Health, Amsterdam Institute for Global Health and Development, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Gesine Meyer-Rath
- Department of Global Health, Boston University School of Public Health, Boston, U.S
- Health Economics and Epidemiology Research Office, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
- South African Centre for Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, South Africa
| | - Matthew P Fox
- Department of Global Health, Boston University School of Public Health, Boston, U.S
- Health Economics and Epidemiology Research Office, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
- Department of Epidemiology, Boston University School of Public Health, Boston, USA; 1. Department of Global Health, Boston University School of Public Health, Boston, USA
| | - Sharon Olifant
- Department of Medical Microbiology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Grant Theron
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Kuhle Fiphaza
- Desmond Tutu HIV Centre, University of Cape Town, Cape Town, South Africa
- Eastern Cape Research Site, Desmond Tutu Health Foundation, East London, South Africa
| | | | | | - Bernard Fourie
- Department of Medical Microbiology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Andrew Medina-Marino
- Desmond Tutu HIV Centre, University of Cape Town, Cape Town, South Africa
- Eastern Cape Research Site, Desmond Tutu Health Foundation, East London, South Africa
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania
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Codlin AJ, Vo LNQ, Garg T, Banu S, Ahmed S, John S, Abdulkarim S, Muyoyeta M, Sanjase N, Wingfield T, Iem V, Squire B, Creswell J. Expanding molecular diagnostic coverage for tuberculosis by combining computer-aided chest radiography and sputum specimen pooling: a modeling study from four high-burden countries. BMC GLOBAL AND PUBLIC HEALTH 2024; 2:52. [PMID: 39100507 PMCID: PMC11291606 DOI: 10.1186/s44263-024-00081-2] [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: 12/27/2023] [Accepted: 07/05/2024] [Indexed: 08/06/2024]
Abstract
Background In 2022, fewer than half of persons with tuberculosis (TB) had access to molecular diagnostic tests for TB due to their high costs. Studies have found that the use of artificial intelligence (AI) software for chest X-ray (CXR) interpretation and sputum specimen pooling can each reduce the cost of testing. We modeled the combination of both strategies to estimate potential savings in consumables that could be used to expand access to molecular diagnostics. Methods We obtained Xpert testing and positivity data segmented into deciles by AI probability scores for TB from the community- and healthcare facility-based active case finding conducted in Bangladesh, Nigeria, Viet Nam, and Zambia. AI scores in the model were based on CAD4TB version 7 (Zambia) and qXR (all other countries). We modeled four ordinal screening and testing approaches involving AI-aided CXR interpretation to indicate individual and pooled testing. Setting a false negative rate of 5%, for each approach we calculated additional and cumulative savings over the baseline of universal Xpert testing, as well as the theoretical expansion in diagnostic coverage. Results In each country, the optimal screening and testing approach was to use AI to rule out testing in deciles with low AI scores and to guide pooled vs individual testing in persons with moderate and high AI scores, respectively. This approach yielded cumulative savings in Xpert tests over baseline ranging from 50.8% in Zambia to 57.5% in Nigeria and 61.5% in Bangladesh and Viet Nam. Using these savings, diagnostic coverage theoretically could be expanded by 34% to 160% across the different approaches and countries. Conclusions Using AI software data generated during CXR interpretation to inform a differentiated pooled testing strategy may optimize TB diagnostic test use, and could extend molecular tests to more people who need them. The optimal AI thresholds and pooled testing strategy varied across countries, which suggests that bespoke screening and testing approaches may be needed for differing populations and settings. Supplementary Information The online version contains supplementary material available at 10.1186/s44263-024-00081-2.
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Affiliation(s)
- Andrew James Codlin
- Friends for International TB Relief, Hanoi, Viet Nam
- Karolinska Institutet, Stockholm, Sweden
| | - Luan Nguyen Quang Vo
- Friends for International TB Relief, Hanoi, Viet Nam
- Karolinska Institutet, Stockholm, Sweden
| | | | | | | | | | | | - Monde Muyoyeta
- Centre for Infectious Disease Research in Zambia, Lusaka, Zambia
| | - Nsala Sanjase
- Centre for Infectious Disease Research in Zambia, Lusaka, Zambia
| | - Tom Wingfield
- Karolinska Institutet, Stockholm, Sweden
- Liverpool School of Tropical Medicine, Liverpool, United Kingdom
- Liverpool University Hospitals NHS Foundation Trust, Liverpool, United Kingdom
| | - Vibol Iem
- Liverpool School of Tropical Medicine, Liverpool, United Kingdom
| | - Bertie Squire
- Liverpool School of Tropical Medicine, Liverpool, United Kingdom
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MacPherson P, Shanaube K, Phiri MD, Rickman HM, Horton KC, Feasey HRA, Corbett EL, Burke RM, Rangaka MX. Community-based active-case finding for tuberculosis: navigating a complex minefield. BMC GLOBAL AND PUBLIC HEALTH 2024; 2:9. [PMID: 39681899 DOI: 10.1186/s44263-024-00042-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Accepted: 01/24/2024] [Indexed: 12/18/2024]
Abstract
Community-based active case finding (ACF) for tuberculosis (TB) involves an offer of screening to populations at risk of TB, oftentimes with additional health promotion, community engagement and health service strengthening. Recently updated World Health Organization TB screening guidelines conditionally recommend expanded offer of ACF for communities where the prevalence of undiagnosed pulmonary TB is greater than 0.5% among adults, or with other structural risk factors for TB. Subclinical TB is thought to be a major contributor to TB transmission, and ACF, particularly with chest X-ray screening, could lead to earlier diagnosis. However, the evidence base for the population-level impact of ACF is mixed, with effectiveness likely highly dependent on the screening approach used, the intensity with which ACF is delivered, and the success of community- and health-system participation. With recent changes in TB epidemiology due to the effective scale-up of treatment for HIV in Africa, the impacts of the COVID-19 pandemic, and the importance of subclinical TB, researchers and public health practitioners planning to implement ACF programmes must carefully and repeatedly consider the potential population and individual benefits and harms from these programmes. Here we synthesise evidence and experience from implementing ACF programmes to provide practical guidance, focusing on the selection of populations, screening algorithms, selecting outcomes, and monitoring and evaluation. With careful planning and substantial investment, community-based ACF for TB can be an impactful approach to accelerating progress towards elimination of TB in high-burden countries. However, ACF cannot and should not be a substitute for equitable access to responsive, affordable, accessible primary care services for all.
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Affiliation(s)
- Peter MacPherson
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK.
- Clinical Research Department, London School of Hygiene & Tropical Medicine, London, UK.
| | | | - Mphatso D Phiri
- Malawi-Liverpool-Wellcome Programme, Blantyre, Malawi
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Hannah M Rickman
- Clinical Research Department, London School of Hygiene & Tropical Medicine, London, UK
- Malawi-Liverpool-Wellcome Programme, Blantyre, Malawi
| | - Katherine C Horton
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Helena R A Feasey
- Clinical Research Department, London School of Hygiene & Tropical Medicine, London, UK
| | - Elizabeth L Corbett
- Clinical Research Department, London School of Hygiene & Tropical Medicine, London, UK
| | - Rachael M Burke
- Clinical Research Department, London School of Hygiene & Tropical Medicine, London, UK
| | - Molebogeng X Rangaka
- CIDRI-Africa, University of Cape Town, Cape Town, South Africa
- MRC Clinical Trials Unit, University College London, London, UK
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