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Scott AJ, Perumal T, Hohlfeld A, Oelofse S, Kühn L, Swanepoel J, Geric C, Ahmad Khan F, Esmail A, Ochodo E, Engel M, Dheda K. Diagnostic Accuracy of Computer-Aided Detection During Active Case Finding for Pulmonary Tuberculosis in Africa: A Systematic Review and Meta-analysis. Open Forum Infect Dis 2024; 11:ofae020. [PMID: 38328498 PMCID: PMC10849117 DOI: 10.1093/ofid/ofae020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 01/15/2024] [Indexed: 02/09/2024] Open
Abstract
Background Computer-aided detection (CAD) may be a useful screening tool for tuberculosis (TB). However, there are limited data about its utility in active case finding (ACF) in a community-based setting, and particularly in an HIV-endemic setting where performance may be compromised. Methods We performed a systematic review and evaluated articles published between January 2012 and February 2023 that included CAD as a screening tool to detect pulmonary TB against a microbiological reference standard (sputum culture and/or nucleic acid amplification test [NAAT]). We collected and summarized data on study characteristics and diagnostic accuracy measures. Two reviewers independently extracted data and assessed methodological quality against Quality Assessment of Diagnostic Accuracy Studies-2 criteria. Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Diagnostic Test Accuracy Studies (PRISMA-DTA) guidelines were followed. Results Of 1748 articles reviewed, 5 met with the eligibility criteria and were included in this review. A meta-analysis revealed pooled sensitivity of 0.87 (95% CI, 0.78-0.96) and specificity of 0.74 (95% CI, 0.55-0.93), just below the World Health Organization (WHO)-recommended target product profile (TPP) for a screening test (sensitivity ≥0.90 and specificity ≥0.70). We found a high risk of bias and applicability concerns across all studies. Subgroup analyses, including the impact of HIV and previous TB, were not possible due to the nature of the reporting within the included studies. Conclusions This review provides evidence, specifically in the context of ACF, for CAD as a potentially useful and cost-effective screening tool for TB in a resource-poor HIV-endemic African setting. However, given methodological concerns, caution is required with regards to applicability and generalizability.
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Affiliation(s)
- Alex J Scott
- Division of Pulmonology, Department of Medicine, Centre for Lung Infection and Immunity, University of Cape Town Lung Institute, Cape Town, South Africa
- Centre for the Study of Antimicrobial Resistance, South African Medical Research Council and University of Cape Town, Cape Town, South Africa
| | - Tahlia Perumal
- Division of Pulmonology, Department of Medicine, Centre for Lung Infection and Immunity, University of Cape Town Lung Institute, Cape Town, South Africa
- Centre for the Study of Antimicrobial Resistance, South African Medical Research Council and University of Cape Town, Cape Town, South Africa
| | - Ameer Hohlfeld
- Health Systems Research Unit, South African Medical Research Council, Cape Town, South Africa
| | - Suzette Oelofse
- Division of Pulmonology, Department of Medicine, Centre for Lung Infection and Immunity, University of Cape Town Lung Institute, Cape Town, South Africa
- Centre for the Study of Antimicrobial Resistance, South African Medical Research Council and University of Cape Town, Cape Town, South Africa
| | - Louié Kühn
- Division of Pulmonology, Department of Medicine, Centre for Lung Infection and Immunity, University of Cape Town Lung Institute, Cape Town, South Africa
- Centre for the Study of Antimicrobial Resistance, South African Medical Research Council and University of Cape Town, Cape Town, South Africa
| | - Jeremi Swanepoel
- Division of Pulmonology, Department of Medicine, Centre for Lung Infection and Immunity, University of Cape Town Lung Institute, Cape Town, South Africa
- Centre for the Study of Antimicrobial Resistance, South African Medical Research Council and University of Cape Town, Cape Town, South Africa
| | - Coralie Geric
- McGill International TB Centre, McGill University, Montreal, Quebec, Canada
| | - Faiz Ahmad Khan
- McGill International TB Centre, McGill University, Montreal, Quebec, Canada
| | - Aliasgar Esmail
- Division of Pulmonology, Department of Medicine, Centre for Lung Infection and Immunity, University of Cape Town Lung Institute, Cape Town, South Africa
- Centre for the Study of Antimicrobial Resistance, South African Medical Research Council and University of Cape Town, Cape Town, South Africa
| | - Eleanor Ochodo
- Kenya Medical Research Institute, Nairobi, Kenya
- Division of Epidemiology and Biostatistics, Department of Global Health, Stellenbosch University, Cape Town, South Africa
| | - Mark Engel
- Department of Medicine, University of Cape Town, Cape Town, South Africa
- Cochrane South Africa, South African Medical Research Council, Cape Town, South Africa
| | - Keertan Dheda
- Division of Pulmonology, Department of Medicine, Centre for Lung Infection and Immunity, University of Cape Town Lung Institute, Cape Town, South Africa
- Centre for the Study of Antimicrobial Resistance, South African Medical Research Council and University of Cape Town, Cape Town, South Africa
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
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Charalambous S, Velen K, Rueda Z, Croda J, Herce ME, Shenoi SV, Altice FL, Muyoyeta M, Telisinghe L, Grandjean L, Keshavjee S, Andrews JR. Scaling up evidence-based approaches to tuberculosis screening in prisons. Lancet Public Health 2023; 8:e305-e310. [PMID: 36780916 DOI: 10.1016/s2468-2667(23)00002-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 12/09/2022] [Accepted: 12/20/2022] [Indexed: 02/12/2023]
Abstract
People deprived of liberty have among the highest rates of tuberculosis globally. The incidence of tuberculosis is ten times greater than the incidence of tuberculosis in the general population. In 2021, WHO updated its guidance to strongly recommend systematic screening for tuberculosis in prisons and penitentiary systems. Which case-finding strategies should be adopted, and how to effectively implement these strategies in these settings, will be crucial questions facing ministries of health and justice. In this Viewpoint, we review the evidence base for tuberculosis screening and diagnostic strategies in prisons, highlighting promising approaches and knowledge gaps. Drawing upon past experiences of implementing active case-finding and care programmes in settings with a high tuberculosis burden, we discuss challenges and opportunities for improving the tuberculosis diagnosis and treatment cascade in these settings. We argue that improved transparency in reporting of tuberculosis notifications and outcomes in prisons and renewed focus and resourcing from WHO and other stakeholders will be crucial for building the commitment and investments needed from countries to address the continued crisis of tuberculosis in prisons.
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Affiliation(s)
- Salome Charalambous
- The Aurum Institute, Johannesburg, South Africa; School of Public Health, Wits University, Johannesburg, South Africa; Division of Epidemiology of Microbial Diseases, School of Public Health, Yale University, New Haven, CT, USA.
| | | | - Zulma Rueda
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MT, Canada; School of Medicine, Universidad Pontificia Bolivariana, Medellin, Colombia
| | - Julio Croda
- Division of Epidemiology of Microbial Diseases, School of Public Health, Yale University, New Haven, CT, USA; Departamento de Clínica Médica, Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil; Fiocruz Mato Grosso do Sul, Campo Grade, Brazil
| | - Michael E Herce
- Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia
| | - Sheela V Shenoi
- Division of Epidemiology of Microbial Diseases, School of Public Health, Yale University, New Haven, CT, USA; Section of Infectious Diseases, School of Medicine, Yale University, New Haven, CT, USA; University of Malaya, Centre of Excellence on Research in AIDS, Kuala Lumpur, Malaysia
| | - Frederick L Altice
- Division of Epidemiology of Microbial Diseases, School of Public Health, Yale University, New Haven, CT, USA; Section of Infectious Diseases, School of Medicine, Yale University, New Haven, CT, USA; University of Malaya, Centre of Excellence on Research in AIDS, Kuala Lumpur, Malaysia
| | - Monde Muyoyeta
- Centre for Infectious Disease Research in Zambia, Lusaka, Zambia
| | - Lily Telisinghe
- London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Louis Grandjean
- Department of Infection, Immunity and Inflammation, Institute of Child Health, University College London, UK
| | - Salmaan Keshavjee
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA; Division of Global Health Equity, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Jason R Andrews
- Division of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, CA, USA
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Soares TR, Oliveira RDD, Liu YE, Santos ADS, Santos PCPD, Monte LRS, Oliveira LMD, Park CM, Hwang EJ, Andrews JR, Croda J. Evaluation of chest X-ray with automated interpretation algorithms for mass tuberculosis screening in prisons: a cross-sectional study. LANCET REGIONAL HEALTH. AMERICAS 2023; 17:100388. [PMID: 36776567 PMCID: PMC9904090 DOI: 10.1016/j.lana.2022.100388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 09/28/2022] [Accepted: 10/18/2022] [Indexed: 06/18/2023]
Abstract
Background The World Health Organization (WHO) recommends systematic tuberculosis (TB) screening in prisons. Evidence is lacking for accurate and scalable screening approaches in this setting. We aimed to assess the accuracy of artificial intelligence-based chest x-ray interpretation algorithms for TB screening in prisons. Methods We performed prospective TB screening in three male prisons in Brazil from October 2017 to December 2019. We administered a standardized questionnaire, performed a chest x-ray in a mobile unit, and collected sputum for confirmatory testing using Xpert MTB/RIF and culture. We evaluated x-ray images using three algorithms (CAD4TB version 6, Lunit version 3.1.0.0 and qXR version 3) and compared their accuracy. We utilized multivariable logistic regression to assess the effect of demographic and clinical characteristics on algorithm accuracy. Finally, we investigated the relationship between abnormality scores and Xpert semi-quantitative results. Findings Among 2075 incarcerated individuals, 259 (12.5%) had confirmed TB. All three algorithms performed similarly overall with area under the receiver operating characteristic curve (AUC) of 0.88-0.91. At 90% sensitivity, only LunitTB and qXR met the WHO Target Product Profile requirements for a triage test, with specificity of 84% and 74%, respectively. All algorithms had variable performance by age, prior TB, smoking, and presence of TB symptoms. LunitTB was the most robust to this heterogeneity but nonetheless failed to meet the TPP for individuals with previous TB. Abnormality scores of all three algorithms were significantly correlated with sputum bacillary load. Interpretation Automated x-ray interpretation algorithms can be an effective triage tool for TB screening in prisons. However, their specificity is insufficient in individuals with previous TB. Funding This study was supported by the US National Institutes of Health (grant numbers R01 AI130058 and R01 AI149620) and the State Secretary of Health of Mato Grosso do Sul.
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Affiliation(s)
- Thiego Ramon Soares
- Faculty of Health Sciences of Federal University of Grande Dourados, Dourados, MS, Brazil
| | - Roberto Dias de Oliveira
- Faculty of Health Sciences of Federal University of Grande Dourados, Dourados, MS, Brazil
- Nursing School, State University of Mato Grosso do Sul, Dourados, MS, Brazil
| | - Yiran E. Liu
- Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, United States of America
| | - Andrea da Silva Santos
- Faculty of Health Sciences of Federal University of Grande Dourados, Dourados, MS, Brazil
| | | | | | | | - Chang Min Park
- Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
| | - Eui Jin Hwang
- Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
| | - Jason R. Andrews
- Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, United States of America
| | - Julio Croda
- Oswaldo Cruz Foundation, Campo Grande, MS, Brazil
- Department of Epidemiology of Microbial Diseases, Yale University School of Public Health, New Haven, CT, United States of America
- School of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, MS, Brazil
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Tuberculosis control at a South African correctional centre: Diagnosis, treatment and strain characterisation. PLoS One 2022; 17:e0277459. [DOI: 10.1371/journal.pone.0277459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 10/28/2022] [Indexed: 11/13/2022] Open
Abstract
Background
Correctional centres provide ideal conditions for tuberculosis (TB) transmission and disease progression. Despite the high TB incidence and incarceration rate in South Africa, data from South African correctional centres are scarce. Thus, the study evaluated TB diagnosis, treatment initiation and completion, and identified prevalent Mycobacterium tuberculosis strains among detainees entering a South African correctional centre.
Methods
This study was a prospective observational study that enrolled participants between February and September 2017 from a correctional centre located in the Western Cape, South Africa. All adult male detainees who tested positive for TB during admission screening were eligible to participate in the study. Sputum samples from enrolled participants underwent smear microscopy and culture. Strain typing was performed on culture-positive samples. The time between specimen collection and diagnosis, the time between diagnosis and treatment initiation, and the proportion of detainees completing TB treatment at the correctional centre were calculated.
Results
During the study period, 130 TB cases were detected through routine admission screening (126 male, 2 female, 2 juvenile). Out of the 126 eligible male detainees, 102 were enrolled in the study (81%, 102/126). All TB cases were detected within 30 hrs of admission screening. The majority (78%, 80/102) of participants started treatment within 48 hrs of TB diagnosis. However, only 8% (9/102) of participants completed treatment at the correction centre. Sputa from 90 of the 102 participants were available for smear and culture. There was a high smear positivity, with 49% (44/90) of isolates being smear positive. The Beijing family was the most frequent lineage (55.2%) in the study.
Conclusion
The strengths of the current TB control efforts at the correctional centre include rapid detection of cases through admission screening and prompt treatment initiation. However, a high number of detainees exiting before treatment completion highlights the need to strengthen links between correctional TB services and community TB services to ensure detainees complete TB treatment after release and prevent TB transmission.
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