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Kim S, Can MH, Agizew TB, Auld AF, Balcells ME, Bjerrum S, Dheda K, Dorman SE, Esmail A, Fielding K, Garcia-Basteiro AL, Hanrahan CF, Kebede W, Kohli M, Luetkemeyer AF, Mita C, Reeve BWP, Silva DR, Sweeney S, Theron G, Trajman A, Vassall A, Warren JL, Yotebieng M, Cohen T, Menzies NA. Factors associated with tuberculosis treatment initiation among bacteriologically negative individuals evaluated for tuberculosis: an individual patient data meta-analysis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.07.24305445. [PMID: 38645191 PMCID: PMC11030305 DOI: 10.1101/2024.04.07.24305445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Background Globally, over one-third of pulmonary tuberculosis (TB) disease diagnoses are made based on clinical criteria after a negative diagnostic test result. Understanding factors associated with clinicians' decisions to initiate treatment for individuals with negative test results is critical for predicting the potential impact of new diagnostics. Methods We performed a systematic review and individual patient data meta-analysis using studies conducted between January/2010 and December/2022 (PROSPERO: CRD42022287613). We included trials or cohort studies that enrolled individuals evaluated for TB in routine settings. In these studies participants were evaluated based on clinical examination and routinely-used diagnostics, and were followed for ≥1 week after the initial test result. We used hierarchical Bayesian logistic regression to identify factors associated with treatment initiation following a negative result on an initial bacteriological test (e.g., sputum smear microscopy, Xpert MTB/RIF). Findings Multiple factors were positively associated with treatment initiation: male sex [adjusted Odds Ratio (aOR) 1.61 (1.31-1.95)], history of prior TB [aOR 1.36 (1.06-1.73)], reported cough [aOR 4.62 (3.42-6.27)], reported night sweats [aOR 1.50 (1.21-1.90)], and having HIV infection but not on ART [aOR 1.68 (1.23-2.32)]. Treatment initiation was substantially less likely for individuals testing negative with Xpert [aOR 0.77 (0.62-0.96)] compared to smear microscopy and declined in more recent years. Interpretation Multiple factors influenced decisions to initiate TB treatment despite negative test results. Clinicians were substantially less likely to treat in the absence of a positive test result when using more sensitive, PCR-based diagnostics.
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Affiliation(s)
- Sun Kim
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Melike Hazal Can
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Andrew F. Auld
- U.S. Centers for Disease Control and Prevention, Lusaka, Zambia
| | - Maria Elvira Balcells
- Infectious Disease Department, School of Medicine, Pontificia Universidad Católica de Chile
| | - Stephanie Bjerrum
- Department of Clinical Research, University of Southern Denmark, Odense Denmark
- Department of Infectious Diseases, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Keertan Dheda
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine and UCT Lung Institute, Cape Town, South Africa
- South African MRC Centre for the Study of Antimicrobial Resistance, University of Cape Town, Cape Town, South Africa
- Faculty of Infectious and Tropical Diseases, Department of Infection Biology, London School of Hygiene and Tropical Medicine, London, UK
| | | | - Aliasgar Esmail
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine and UCT Lung Institute, Cape Town, South Africa
- South African MRC Centre for the Study of Antimicrobial Resistance, University of Cape Town, Cape Town, South Africa
| | - Katherine Fielding
- TB Centre, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Alberto L. Garcia-Basteiro
- ISGlobal, Hospital Clínic – Universitat de Barcelona, Barcelona, Spain
- Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Barcelona, Spain
| | - Colleen F. Hanrahan
- Epidemiology Department, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Wakjira Kebede
- School of Medical Laboratory Sciences, Jimma University, Jimma Ethiopia
- Mycobacteriology Research Center of Jimma University, Ethiopia
| | | | | | - Carol Mita
- Countway Library of Medicine, Harvard University, Boston, MA, USA
| | - Byron W. P. Reeve
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research and SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Denise Rossato Silva
- Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Sedona Sweeney
- Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK
| | - Grant Theron
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research and SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Anete Trajman
- Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
- McGill University, Montreal, QC, Canada
| | - Anna Vassall
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Joshua L. Warren
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Marcel Yotebieng
- Division of General Internal Medicine, Department of Medicine, Albert Einstein College of Medicine, New York City, NY, USA
| | - Ted Cohen
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Nicolas A. Menzies
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Farhat M, Cox H, Ghanem M, Denkinger CM, Rodrigues C, Abd El Aziz MS, Enkh-Amgalan H, Vambe D, Ugarte-Gil C, Furin J, Pai M. Drug-resistant tuberculosis: a persistent global health concern. Nat Rev Microbiol 2024:10.1038/s41579-024-01025-1. [PMID: 38519618 DOI: 10.1038/s41579-024-01025-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/12/2024] [Indexed: 03/25/2024]
Abstract
Drug-resistant tuberculosis (TB) is estimated to cause 13% of all antimicrobial resistance-attributable deaths worldwide and is driven by both ongoing resistance acquisition and person-to-person transmission. Poor outcomes are exacerbated by late diagnosis and inadequate access to effective treatment. Advances in rapid molecular testing have recently improved the diagnosis of TB and drug resistance. Next-generation sequencing of Mycobacterium tuberculosis has increased our understanding of genetic resistance mechanisms and can now detect mutations associated with resistance phenotypes. All-oral, shorter drug regimens that can achieve high cure rates of drug-resistant TB within 6-9 months are now available and recommended but have yet to be scaled to global clinical use. Promising regimens for the prevention of drug-resistant TB among high-risk contacts are supported by early clinical trial data but final results are pending. A person-centred approach is crucial in managing drug-resistant TB to reduce the risk of poor treatment outcomes, side effects, stigma and mental health burden associated with the diagnosis. In this Review, we describe current surveillance of drug-resistant TB and the causes, risk factors and determinants of drug resistance as well as the stigma and mental health considerations associated with it. We discuss recent advances in diagnostics and drug-susceptibility testing and outline the progress in developing better treatment and preventive therapies.
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Affiliation(s)
- Maha Farhat
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Helen Cox
- Institute of Infectious Disease and Molecular Medicine, Wellcome Centre for Infectious Disease Research and Division of Medical Microbiology, University of Cape Town, Cape Town, South Africa
| | - Marwan Ghanem
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Claudia M Denkinger
- Division of Infectious Disease and Tropical Medicine, Heidelberg University Hospital, Heidelberg, Germany
- German Center for Infection Research (DZIF), partner site Heidelberg University Hospital, Heidelberg, Germany
| | | | - Mirna S Abd El Aziz
- Division of Infectious Disease and Tropical Medicine, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Debrah Vambe
- National TB Control Programme, Manzini, Eswatini
| | - Cesar Ugarte-Gil
- School of Public and Population Health, University of Texas Medical Branch, Galveston, TX, USA
| | - Jennifer Furin
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA
| | - Madhukar Pai
- McGill International TB Centre, McGill University, Montreal, Quebec, Canada.
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Márquez A, Santiago S, dos Santos M, Aznar-Cervantes SD, Domínguez C, Omenetto FG, Guirado G, Muñoz-Berbel X. Reusable Colorimetric Biosensors on Sustainable Silk-Based Platforms. ACS APPLIED BIO MATERIALS 2024; 7:853-862. [PMID: 38270977 PMCID: PMC10880051 DOI: 10.1021/acsabm.3c00872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 11/21/2023] [Accepted: 11/23/2023] [Indexed: 01/26/2024]
Abstract
In biosensor development, silk fibroin is advantageous for providing transparent, flexible, chemically/mechanically stable, biocompatible, and sustainable substrates, where the biorecognition element remains functional for long time periods. These properties are employed here in the production of point-of-care biosensors for resource-limited regions, which are able to display glucose levels without the need for external instrumentation. These biosensors are produced by photopatterning silk films doped with the enzymes glucose oxidase and peroxidase and photoelectrochromic molecules from the dithienylethene family acting as colorimetric mediators of the enzymatic reaction. The photopatterning results from the photoisomerization of dithienylethene molecules in the silk film from its initial uncolored opened form to its pink closed one. The photoisomerization is dose-dependent, and colored patterns with increasing color intensities are obtained by increasing either the irradiation time or the light intensity. In the presence of glucose, the enzymatic cascade reaction is activated, and peroxidase selectively returns closed dithienylethene molecules to their initial uncolored state. Color disappearance in the silk film is proportional to glucose concentration and used to distinguish between hypoglycemic (below 4 mM), normoglycemic (4-6 mM), and hyperglycemic levels (above 6 mM) by visual inspection. After the measurement, the biosensor can be regenerated by irradiation with UV light, enabling up to five measurement cycles. The coupling of peroxidase activity to other oxidoreductases opens the possibility to produce long-life reusable smart biosensors for other analytes such as lactate, cholesterol, or ethanol.
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Affiliation(s)
- Augusto Márquez
- Instituto
de Microelectrónica de Barcelona (IMB-CNM, CSIC), Bellaterra, Barcelona 08193, Spain
| | - Sara Santiago
- Instituto
de Microelectrónica de Barcelona (IMB-CNM, CSIC), Bellaterra, Barcelona 08193, Spain
- Departament
de Química, Universitat Autònoma
de Barcelona, Bellaterra, Barcelona 08193, Spain
| | | | - Salvador D. Aznar-Cervantes
- Departamento
de Biotecnología, Genómica y Mejora Vegetal, Instituto Murciano de Investigación y Desarrollo
Agrario y Ambiental (IMIDA), 30150 La Alberca, Murcia, Spain
| | - Carlos Domínguez
- Instituto
de Microelectrónica de Barcelona (IMB-CNM, CSIC), Bellaterra, Barcelona 08193, Spain
| | - Fiorenzo G. Omenetto
- Silklab, Tufts University, 200 Boston Avenue, Medford, Massachusetts 02155, United States
| | - Gonzalo Guirado
- Departament
de Química, Universitat Autònoma
de Barcelona, Bellaterra, Barcelona 08193, Spain
| | - Xavier Muñoz-Berbel
- Instituto
de Microelectrónica de Barcelona (IMB-CNM, CSIC), Bellaterra, Barcelona 08193, Spain
- CIBER de
Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, 28029 Madrid, Spain
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Jia DT, Carcamo PM, Diaz MM. Ongoing Healthcare Disparities in neuroHIV: Addressing Gaps in the Care Continuum. Curr HIV/AIDS Rep 2023; 20:368-378. [PMID: 37999827 DOI: 10.1007/s11904-023-00683-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/10/2023] [Indexed: 11/25/2023]
Abstract
PURPOSE OF REVIEW We aim to review the neurological complications of HIV and the social, cultural, and economic inequalities that contribute to disparities in neuroHIV care. RECENT FINDINGS Disparities in diagnostics and care of patients with neurological infections and non-infectious conditions associated with HIV in both high-income and low-to-middle-income countries (LMIC) are common. The COVID-19 pandemic has exacerbated these disparities. Factors, such as HIV-related stigma, may deter people from accessing HIV treatment. First-line recommended treatments for neurological infections are not available in many LMICs, leading to inadequate treatment and exposure to agents with more harmful side effect profiles. Access-related factors, such as lack of transportation, lack of health insurance, and inadequate telehealth access, may increase the risk of HIV-related neurological complications. Further research is needed to increase awareness of neurological complications among providers and PWH, and regional guidelines should be considered to better address these complications.
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Affiliation(s)
- Dan Tong Jia
- Department of Neurology, Northwestern University, Chicago, IL, USA
| | - Paloma M Carcamo
- Laboratory of Epidemiology and Public Health, Yale School of Public Health, New Haven, CT, USA
- Health Innovation Laboratory, Alexander Von Humboldt Tropical Medicine Institute, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Monica M Diaz
- Department of Neurology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA.
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Fekadu G, Wang Y, You JHS. Standard diagnostics with and without urine-based lipoarabinomannan testing for tuberculosis disease in HIV-infected patients in a high-burden setting-A cost-effectiveness analysis. PLoS One 2023; 18:e0288605. [PMID: 37450476 PMCID: PMC10348570 DOI: 10.1371/journal.pone.0288605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 07/02/2023] [Indexed: 07/18/2023] Open
Abstract
BACKGROUND Recent clinical findings reported the reduced mortality associated with treatment guided by sputum-based molecular test with urine-based lipoarabinomannan (LAM) assay for tuberculosis (TB) disease in HIV-infected individuals. We aimed to evaluate the cost-effectiveness of sputum-based Xpert tests with and without urine-based LAM assays among HIV-infected individuals with signs and symptoms of TB disease (TBD) from the perspective of South African healthcare providers. METHODS A one-year decision-analytic model was constructed to simulate TB-related outcomes of 7 strategies: Sputum smear microscope (SSM), Xpert, Xpert Ultra, Xpert with AlereLAM, Xpert Ultra with AlereLAM, Xpert with FujiLAM, and Xpert Ultra with FujiLAM, in a hypothetical cohort of adult HIV-infected individuals with signs and symptoms of TB. The model outcomes were TB-related direct medical cost, mortality, early treatment, disability-adjusted life-years (DALYs) and incremental cost per DALY averted (ICER). The model inputs were retrieved from literature and public data. Base-case analysis and sensitivity analysis were conducted. RESULTS In the base-case analysis, the Xpert Ultra with FujiLAM strategy showed the highest incidence of early treatment (267.7 per 1000 tested) and lowest mortality (29.0 per 1000 tested), with ICER = 676.9 USD/DALY averted. Probabilistic sensitivity analysis of 10,000 Monte Carlo simulations showed the cost-effective probability of Xpert Ultra with FujiLAM was the highest of all 7 strategies at the willingness-to-pay (WTP) threshold >202USD/DALY averted. CONCLUSION Standard sputum-based TB diagnostic Xpert Ultra with urine-based FujiLAM for TBD testing in HIV-infected individuals appears to be the preferred cost-effective strategy from the perspective of the health service provider of South Africa.
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Affiliation(s)
- Ginenus Fekadu
- School of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, SAR, China
| | - Yingcheng Wang
- School of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, SAR, China
| | - Joyce H. S. You
- School of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, SAR, China
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Pei PP, Fitzmaurice KP, Le MH, Panella C, Jones ML, Pandya A, Horsburgh CR, Freedberg KA, Weinstein MC, Paltiel AD, Reddy KP. The Value-of-Information and Value-of-Implementation from Clinical Trials of Diagnostic Tests for HIV-Associated Tuberculosis: A Modeling Analysis. MDM Policy Pract 2023; 8:23814683231198873. [PMID: 37743931 PMCID: PMC10517616 DOI: 10.1177/23814683231198873] [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: 07/19/2023] [Accepted: 07/27/2023] [Indexed: 09/26/2023] Open
Abstract
Objectives. Conventional value-of-information (VOI) analysis assumes complete uptake of an optimal decision. We employed an extended framework that includes value-of-implementation (VOM)-the benefit of encouraging adoption of an optimal strategy-and estimated how future trials of diagnostic tests for HIV-associated tuberculosis could improve public health decision making and clinical and economic outcomes. Methods. We evaluated the clinical outcomes and costs, given current information, of 3 tuberculosis screening strategies among hospitalized people with HIV in South Africa: sputum Xpert (Xpert), sputum Xpert plus urine AlereLAM (Xpert+AlereLAM), and sputum Xpert plus the newer, more sensitive, and costlier urine FujiLAM (Xpert+FujiLAM). We projected the incremental net monetary benefit (INMB) of decision making based on results of a trial comparing mortality with each strategy, rather than decision making based solely on current knowledge of FujiLAM's improved diagnostic performance. We used a validated microsimulation to estimate VOI (the INMB of reducing parameter uncertainty before decision making) and VOM (the INMB of encouraging adoption of an optimal strategy). Results. With current information, adopting Xpert+FujiLAM yields 0.4 additional life-years/person compared with current practices (assumed 50% Xpert and 50% Xpert+AlereLAM). While the decision to adopt this optimal strategy is unaffected by information from the clinical trial (VOI = $ 0 at $3,000/year-of-life saved willingness-to-pay threshold), there is value in scaling up implementation of Xpert+FujiLAM, which results in an INMB (representing VOM) of $650 million over 5 y. Conclusions. Conventional VOI methods account for the value of switching to a new optimal strategy based on trial data but fail to account for the persuasive value of trials in increasing uptake of the optimal strategy. Evaluation of trials should include a focus on their value in reducing barriers to implementation. Highlights In conventional VOI analysis, it is assumed that the optimal decision will always be adopted even without a trial. This can potentially lead to an underestimation of the value of trials when adoption requires new clinical trial evidence. To capture the influence that a trial may have on decision makers' willingness to adopt the optimal decision, we also consider value-of-implementation (VOM), a metric quantifying the benefit of new study information in promoting wider adoption of the optimal strategy. The overall value-of-a-trial (VOT) includes both VOI and VOM.Our model-based analysis suggests that the information obtained from a trial of screening strategies for HIV-associated tuberculosis in South Africa would have no value, when measured using traditional methods of VOI assessment. A novel strategy, which includes the urine FujiLAM test, is optimal from a health economic standpoint but is underutilized. A trial would reduce uncertainties around downstream health outcomes but likely would not change the optimal decision. The high VOT (nearly $700 million over 5 y) lies solely in promoting uptake of FujiLAM, represented as VOM.Our results highlight the importance of employing a more comprehensive approach for evaluating prospective trials, as conventional VOI methods can vastly underestimate their value. Trialists and funders can and should assess the VOT metric instead when considering trial designs and costs. If VOI is low, the VOM and cost of a trial can be compared with the benefits and costs of other outreach programs to determine the most cost-effective way to improve uptake.
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Affiliation(s)
- Pamela P. Pei
- Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, USA
| | | | - Mylinh H. Le
- Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, USA
| | - Christopher Panella
- Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, USA
| | - Michelle L. Jones
- Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, USA
| | - Ankur Pandya
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - C. Robert Horsburgh
- School of Public Health and School of Medicine, Boston University, Boston, MA, USA
| | - Kenneth A. Freedberg
- Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, USA
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Milton C. Weinstein
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - A. David Paltiel
- Public Health Modeling Unit, Yale School of Public Health, New Haven, CT, USA
| | - Krishna P. Reddy
- Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA
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Svadzian A, Daniels B, Sulis G, Das J, Daftary A, Kwan A, Das V, Das R, Pai M. Do private providers initiate anti-tuberculosis therapy on the basis of chest radiographs? A standardised patient study in urban India. THE LANCET REGIONAL HEALTH. SOUTHEAST ASIA 2023; 13:100152. [PMID: 37383564 PMCID: PMC10306035 DOI: 10.1016/j.lansea.2023.100152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 01/08/2023] [Accepted: 01/11/2023] [Indexed: 06/30/2023]
Abstract
Background The initiation of anti-tuberculosis treatment (ATT) based on results of WHO-approved microbiological diagnostics is an important marker of quality tuberculosis (TB) care. Evidence suggests that other diagnostic processes leading to treatment initiation may be preferred in high TB incidence settings. This study examines whether private providers start anti-TB therapy on the basis of chest radiography (CXR) and clinical examinations. Methods This study uses the standardized patient (SP) methodology to generate accurate and unbiased estimates of private sector, primary care provider practice when a patient presents a standardized TB case scenario with an abnormal CXR. Using multivariate log-binomial and linear regressions with standard errors clustered at the provider level, we analyzed 795 SP visits conducted over three data collection waves from 2014 to 2020 in two Indian cities. Data were inverse-probability-weighted based on the study sampling strategy, resulting in city-wave-representative results. Findings Amongst SPs who presented to a provider with an abnormal CXR, 25% (95% CI: 21-28%) visits resulted in ideal management, defined as the provider prescribing a microbiological test and not offering a concurrent prescription for a corticosteroid or antibiotic (including anti-TB medications). In contrast, 23% (95% CI: 19-26%) of 795 visits were prescribed anti-TB medications. Of 795 visits, 13% (95% CI: 10-16%) resulted in anti-TB treatment prescriptions/dispensation and an order for confirmatory microbiological testing. Interpretation One in five SPs presenting with abnormal CXR were prescribed ATT by private providers. This study contributes novel insights to empiric treatment prevalence based on CXR abnormality. Further work is needed to understand how providers make trade-offs between existing diagnostic practices, new technologies, profits, clinical outcomes, and the market dynamics with laboratories. Funding This study was funded by the Bill & Melinda Gates Foundation (grant OPP1091843), and the Knowledge for Change Program at The World Bank.
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Affiliation(s)
- Anita Svadzian
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
- McGill International TB Centre, McGill University, Montreal, QC, Canada
| | - Benjamin Daniels
- McCourt School of Public Policy, Georgetown University, Washington, DC, USA
| | - Giorgia Sulis
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Jishnu Das
- McCourt School of Public Policy, Georgetown University, Washington, DC, USA
- Centre for Policy Research, New Delhi, India
| | - Amrita Daftary
- Dahdaleh Institute of Global Health Research, School of Global Health, York University, Toronto, ON, Canada
- Centre for the Aids Programme of Research in South Africa MRC-HIV-TB Pathogenesis and Treatment, Research Unit, Durban, South Africa
| | - Ada Kwan
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Veena Das
- Department of Anthropology, Johns Hopkins University, Baltimore, USA
| | - Ranendra Das
- Institute for Socio-Economic Research on Development and Democracy, Delhi, India
| | - Madhukar Pai
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
- McGill International TB Centre, McGill University, Montreal, QC, Canada
- Manipal McGill Program for Infectious Diseases, Manipal Centre for Infectious Diseases, Manipal Academy of Higher Education, Manipal, Karnataka, India
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Naidoo K, Perumal R. Advances in tuberculosis control during the past decade. THE LANCET. RESPIRATORY MEDICINE 2023; 11:311-313. [PMID: 36966793 PMCID: PMC10036130 DOI: 10.1016/s2213-2600(23)00090-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 02/21/2023] [Indexed: 03/25/2023]
Affiliation(s)
- Kogieleum Naidoo
- Centre for the AIDS Programme of Research in South Africa, Medical Research Council-CAPRISA HIV-Tuberculosis Pathogenesis and Treatment Research Unit, University of KwaZulu-Natal, Durban 4001, South Africa.
| | - Rubeshan Perumal
- Centre for the AIDS Programme of Research in South Africa, Medical Research Council-CAPRISA HIV-Tuberculosis Pathogenesis and Treatment Research Unit, University of KwaZulu-Natal, Durban 4001, South Africa
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9
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Mukoka M, Twabi HH, Msefula C, Semphere R, Ndhlovu G, Lipenga T, Sikwese TD, Malisita K, Choko A, Corbett EL, MacPherson P, Nliwasa M. Utility of Xpert MTB/RIF Ultra and digital chest radiography for the diagnosis and treatment of TB in people living with HIV: a randomised controlled trial (XACT-TB). Trans R Soc Trop Med Hyg 2023; 117:28-37. [PMID: 35963826 PMCID: PMC9808509 DOI: 10.1093/trstmh/trac079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 06/09/2022] [Accepted: 07/27/2022] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND TB is a leading cause of morbidity among HIV positive individuals. Accurate algorithms are needed to achieve early TB diagnosis and treatment. We investigated the use of Xpert MTB/RIF Ultra in combination with chest radiography for TB diagnosis in ambulatory HIV positive individuals. METHODS This was a randomised controlled trial with a 2-by-2 factorial design. Outpatient HIV clinic attendees with cough were randomised to four arms: Arm 1-Standard Xpert/no chest radiography (CXR); Arm 2-Standard Xpert/CXR; Arm 3-Xpert Ultra/no CXR; and Arm 4-Xpert Ultra/CXR. Participants were followed up at days 28 and 56 to assess for TB treatment initiation. RESULTS We randomised 640 participants. Bacteriologically confirmed TB treatment initiation at day 28 were: Arm 1 (8.4% [14/162]), Arm 2 (6.9% [11/159]), Arm 3 (8.2% [13/159]) and Arm 4 (5.6% [9/160]) and between Xpert Ultra group (Arms 3 and 4) (6.9% [22/319]) vs Standard Xpert group (Arms 1 and 2) (7.8% [25/321]), risk ratio 0.89 (95% CI 0.51 to 1.54). By day 56, there were also similar all-TB treatment initiations in the x-ray group (Arms 2 and 4) (16.0% [51/319]) compared with the no x-ray group (Arms 1 and 3) (13.1% [42/321]), risk ratio 1.22 (95% CI 0.84 to 1.78); however, the contribution of clinically diagnosed treatment initiations were higher in x-ray groups (50.9% vs 19.0%). CONCLUSIONS Xpert Ultra performed similarly to Xpert MTB/RIF. X-rays are useful for TB screening but further research should investigate how to mitigate false-positive treatment initiations.
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Affiliation(s)
- Madalo Mukoka
- Pathology Department, Helse Nord TB Initiative, Kamuzu University of Health Sciences, Private Bag 360, Blantyre, Malawi
- Public Health Group, Malawi–Liverpool–Wellcome Trust Clinical Research Programme, P.O. Box 30096, Blantyre, Malawi
| | - Hussein H Twabi
- Pathology Department, Helse Nord TB Initiative, Kamuzu University of Health Sciences, Private Bag 360, Blantyre, Malawi
- Public Health Group, Malawi–Liverpool–Wellcome Trust Clinical Research Programme, P.O. Box 30096, Blantyre, Malawi
| | - Chisomo Msefula
- Pathology Department, Helse Nord TB Initiative, Kamuzu University of Health Sciences, Private Bag 360, Blantyre, Malawi
| | - Robina Semphere
- Pathology Department, Helse Nord TB Initiative, Kamuzu University of Health Sciences, Private Bag 360, Blantyre, Malawi
- Public Health Group, Malawi–Liverpool–Wellcome Trust Clinical Research Programme, P.O. Box 30096, Blantyre, Malawi
| | - Gabriel Ndhlovu
- Pathology Department, Helse Nord TB Initiative, Kamuzu University of Health Sciences, Private Bag 360, Blantyre, Malawi
- Public Health Group, Malawi–Liverpool–Wellcome Trust Clinical Research Programme, P.O. Box 30096, Blantyre, Malawi
| | - Trancizeo Lipenga
- Pathology Department, Helse Nord TB Initiative, Kamuzu University of Health Sciences, Private Bag 360, Blantyre, Malawi
| | - Tionge Daston Sikwese
- Pathology Department, Helse Nord TB Initiative, Kamuzu University of Health Sciences, Private Bag 360, Blantyre, Malawi
| | - Kenneth Malisita
- Lighthouse Umodzi centre, Queen Elizabeth Central Hospital, P.O. Box 95, Blantyre, Malawi
| | - Augustine Choko
- Public Health Group, Malawi–Liverpool–Wellcome Trust Clinical Research Programme, P.O. Box 30096, Blantyre, Malawi
| | - Elizabeth L Corbett
- Public Health Group, Malawi–Liverpool–Wellcome Trust Clinical Research Programme, P.O. Box 30096, Blantyre, Malawi
- Clinical Research Department, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK
| | - Peter MacPherson
- Public Health Group, Malawi–Liverpool–Wellcome Trust Clinical Research Programme, P.O. Box 30096, Blantyre, Malawi
- Department of Public Health and Policy, Liverpool School of Tropical Medicine, Liverpool, L3 5QA, UK
| | - Marriott Nliwasa
- Pathology Department, Helse Nord TB Initiative, Kamuzu University of Health Sciences, Private Bag 360, Blantyre, Malawi
- Public Health Group, Malawi–Liverpool–Wellcome Trust Clinical Research Programme, P.O. Box 30096, Blantyre, Malawi
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10
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Boyce RM, Ndizeye R, Ngelese H, Baguma E, Shem B, Rubinstein RJ, Rockwell E, Lotspeich SC, Shook-Sa BE, Ntaro M, Nyehangane D, Wohl DA, Siedner MJ, Mulogo EM. It takes more than a machine: A pilot feasibility study of point-of-care HIV-1 viral load testing at a lower-level health center in rural western Uganda. PLOS GLOBAL PUBLIC HEALTH 2023; 3:e0001678. [PMID: 36972208 PMCID: PMC10042348 DOI: 10.1371/journal.pgph.0001678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 01/29/2023] [Indexed: 03/29/2023]
Abstract
Barriers continue to limit access to viral load (VL) monitoring across sub-Saharan Africa adversely impacting control of the HIV epidemic. The objective of this study was to determine whether the systems and processes required to realize the potential of rapid molecular technology are available at a prototypical lower-level (i.e., level III) health center in rural Uganda. In this open-label pilot study, participants underwent parallel VL testing at both the central laboratory (i.e., standard of care) and on-site using the GeneXpert HIV-1 assay. The primary outcome was the number of VL tests completed each clinic day. Secondary outcomes included the number of days from sample collection to receipt of result at clinic and the number of days from sample collection to patient receipt of the result. From August 2020 to July 2021, we enrolled a total of 242 participants. The median number of daily tests performed on the Xpert platform was 4, (IQR = 2-7). Time from sample collection to result was 51 days (IQR = 45-62) for samples sent to the central laboratory and 0 days (IQR = 0-0.25) for the Xpert assay conducted at the health center. However, few participants elected to receive results by one of the expedited options, which contributed to similar time-to-patient between testing approaches (89 versus 84 days, p = 0.07). Implementation of a rapid, near point-of-care VL assay at a lower-level health center in rural Uganda appears feasible, but interventions to promote rapid clinical response and influence patient preferences about result receipt require further study. Trial registration: ClinicalTrials.gov Identifier: NCT04517825, Registered 18 August 2020. Available at: https://clinicaltrials.gov/ct2/show/NCT04517825.
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Affiliation(s)
- Ross M Boyce
- Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Ronnie Ndizeye
- Faculty of Medicine, Department of Community Health, Mbarara University of Science & Technology, Mbarara, Uganda
| | - Herbert Ngelese
- Faculty of Medicine, Department of Community Health, Mbarara University of Science & Technology, Mbarara, Uganda
| | - Emmanuel Baguma
- Faculty of Medicine, Department of Community Health, Mbarara University of Science & Technology, Mbarara, Uganda
| | - Bwambale Shem
- Bugoye Level III Health Center, Uganda Ministry of Health, Kasese District, Uganda
| | - Rebecca J Rubinstein
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Emmanuel Rockwell
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Sarah C Lotspeich
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Bonnie E Shook-Sa
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Moses Ntaro
- Faculty of Medicine, Department of Community Health, Mbarara University of Science & Technology, Mbarara, Uganda
| | - Dan Nyehangane
- Epicentre Mbarara Research Centre, Mbarara, Uganda
- Faculty of Medicine, Department of Medical Laboratory Science, Mbarara University of Science & Technology, Mbarara, Uganda
| | - David A Wohl
- Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Mark J Siedner
- Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Edgar M Mulogo
- Faculty of Medicine, Department of Community Health, Mbarara University of Science & Technology, Mbarara, Uganda
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11
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Lee JH, Garg T, Lee J, McGrath S, Rosman L, Schumacher SG, Benedetti A, Qin ZZ, Gore G, Pai M, Sohn H. Impact of molecular diagnostic tests on diagnostic and treatment delays in tuberculosis: a systematic review and meta-analysis. BMC Infect Dis 2022; 22:940. [PMID: 36517736 PMCID: PMC9748908 DOI: 10.1186/s12879-022-07855-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 11/08/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Countries with high TB burden have expanded access to molecular diagnostic tests. However, their impact on reducing delays in TB diagnosis and treatment has not been assessed. Our primary aim was to summarize the quantitative evidence on the impact of nucleic acid amplification tests (NAAT) on diagnostic and treatment delays compared to that of the standard of care for drug-sensitive and drug-resistant tuberculosis (DS-TB and DR-TB). METHODS We searched MEDLINE, EMBASE, Web of Science, and the Global Health databases (from their inception to October 12, 2020) and extracted time delay data for each test. We then analysed the diagnostic and treatment initiation delay separately for DS-TB and DR-TB by comparing smear vs Xpert for DS-TB and culture drug sensitivity testing (DST) vs line probe assay (LPA) for DR-TB. We conducted random effects meta-analyses of differences of the medians to quantify the difference in diagnostic and treatment initiation delay, and we investigated heterogeneity in effect estimates based on the period the test was used in, empiric treatment rate, HIV prevalence, healthcare level, and study design. We also evaluated methodological differences in assessing time delays. RESULTS A total of 45 studies were included in this review (DS = 26; DR = 20). We found considerable heterogeneity in the definition and reporting of time delays across the studies. For DS-TB, the use of Xpert reduced diagnostic delay by 1.79 days (95% CI - 0.27 to 3.85) and treatment initiation delay by 2.55 days (95% CI 0.54-4.56) in comparison to sputum microscopy. For DR-TB, use of LPAs reduced diagnostic delay by 40.09 days (95% CI 26.82-53.37) and treatment initiation delay by 45.32 days (95% CI 30.27-60.37) in comparison to any culture DST methods. CONCLUSIONS Our findings indicate that the use of World Health Organization recommended diagnostics for TB reduced delays in diagnosing and initiating TB treatment. Future studies evaluating performance and impact of diagnostics should consider reporting time delay estimates based on the standardized reporting framework.
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Affiliation(s)
- Jae Hyoung Lee
- grid.21107.350000 0001 2171 9311Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, USA
| | - Tushar Garg
- grid.21107.350000 0001 2171 9311Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
| | - Jungsil Lee
- grid.8991.90000 0004 0425 469XLondon School of Hygiene & Tropical Medicine, London, UK
| | - Sean McGrath
- grid.38142.3c000000041936754XDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, USA
| | - Lori Rosman
- grid.21107.350000 0001 2171 9311Welch Medical Library, John Hopkins University School of Medicine, Baltimore, USA
| | - Samuel G. Schumacher
- grid.452485.a0000 0001 1507 3147Foundation for Innovative New Diagnostics, Geneva, Switzerland
| | - Andrea Benedetti
- grid.14709.3b0000 0004 1936 8649Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada ,grid.63984.300000 0000 9064 4811Respiratory Epidemiology & Clinical Research Unit, McGill University Health Centre, Montreal, Canada
| | | | - Genevieve Gore
- grid.14709.3b0000 0004 1936 8649Schulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Montreal, Canada
| | - Madhukar Pai
- grid.14709.3b0000 0004 1936 8649McGill International TB Centre, McGill University, Montreal, Canada
| | - Hojoon Sohn
- grid.31501.360000 0004 0470 5905Department of Preventive Medicine, College of Medicine, Seoul National University, Seoul, South Korea
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12
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Nandlal L, Perumal R, Naidoo K. Rapid Molecular Assays for the Diagnosis of Drug-Resistant Tuberculosis. Infect Drug Resist 2022; 15:4971-4984. [PMID: 36060232 PMCID: PMC9438776 DOI: 10.2147/idr.s381643] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 08/20/2022] [Indexed: 11/23/2022] Open
Affiliation(s)
- Louansha Nandlal
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), South African Medical Research Council (SAMRC)-CAPRISA-TB-HIV Pathogenesis and Treatment Research Unit, University of KwaZulu-Natal Nelson R Mandela School of Medicine, Durban, South Africa
| | - Rubeshan Perumal
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), South African Medical Research Council (SAMRC)-CAPRISA-TB-HIV Pathogenesis and Treatment Research Unit, University of KwaZulu-Natal Nelson R Mandela School of Medicine, Durban, South Africa
- Correspondence: Rubeshan Perumal, Centre for the AIDS Programme of Research in South Africa (CAPRISA), South African Medical Research Council (SAMRC)-CAPRISA-TB-HIV Pathogenesis and Treatment Research Unit, University of KwaZulu-Natal Nelson R Mandela School of Medicine, Durban, South Africa, Email
| | - Kogieleum Naidoo
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), South African Medical Research Council (SAMRC)-CAPRISA-TB-HIV Pathogenesis and Treatment Research Unit, University of KwaZulu-Natal Nelson R Mandela School of Medicine, Durban, South Africa
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13
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Yusoof KA, García JI, Schami A, Garcia-Vilanova A, Kelley HV, Wang SH, Rendon A, Restrepo BI, Yotebieng M, Torrelles JB. Tuberculosis Phenotypic and Genotypic Drug Susceptibility Testing and Immunodiagnostics: A Review. Front Immunol 2022; 13:870768. [PMID: 35874762 PMCID: PMC9301132 DOI: 10.3389/fimmu.2022.870768] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 06/06/2022] [Indexed: 12/24/2022] Open
Abstract
Tuberculosis (TB), considered an ancient disease, is still killing one person every 21 seconds. Diagnosis of Mycobacterium tuberculosis (M.tb) still has many challenges, especially in low and middle-income countries with high burden disease rates. Over the last two decades, the amount of drug-resistant (DR)-TB cases has been increasing, from mono-resistant (mainly for isoniazid or rifampicin resistance) to extremely drug resistant TB. DR-TB is problematic to diagnose and treat, and thus, needs more resources to manage it. Together with+ TB clinical symptoms, phenotypic and genotypic diagnosis of TB includes a series of tests that can be used on different specimens to determine if a person has TB, as well as if the M.tb strain+ causing the disease is drug susceptible or resistant. Here, we review and discuss advantages and disadvantages of phenotypic vs. genotypic drug susceptibility testing for DR-TB, advances in TB immunodiagnostics, and propose a call to improve deployable and low-cost TB diagnostic tests to control the DR-TB burden, especially in light of the increase of the global burden of bacterial antimicrobial resistance, and the potentially long term impact of the coronavirus disease 2019 (COVID-19) disruption on TB programs.
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Affiliation(s)
- Kizil A. Yusoof
- Graduate School of Biomedical Sciences, University of Texas Health San Antonio, San Antonio, TX, United States
| | - Juan Ignacio García
- Population Health Program, Tuberculosis Group, Texas Biomedical Research Institute, San Antonio, TX, United States
- *Correspondence: Juan Ignacio García, ; Blanca I. Restrepo, ; Marcel Yotebieng, ; Jordi B. Torrelles,
| | - Alyssa Schami
- Graduate School of Biomedical Sciences, University of Texas Health San Antonio, San Antonio, TX, United States
- Population Health Program, Tuberculosis Group, Texas Biomedical Research Institute, San Antonio, TX, United States
| | - Andreu Garcia-Vilanova
- Population Health Program, Tuberculosis Group, Texas Biomedical Research Institute, San Antonio, TX, United States
| | - Holden V. Kelley
- Population Health Program, Tuberculosis Group, Texas Biomedical Research Institute, San Antonio, TX, United States
| | - Shu-Hua Wang
- Department of Internal Medicine, Division of Infectious Diseases, College of Medicine and Global One Health Initiative, The Ohio State University, Columbus, OH, United States
| | - Adrian Rendon
- Centro de Investigación, Prevención y Tratamiento de Infecciones Respiratorias (CIPTIR), Hospital Universitario de Monterrey Universidad Autónoma de Nuevo León (UANL), Monterrey, Mexico
| | - Blanca I. Restrepo
- School of Public Health, University of Texas Health Science Center at Houston, Brownsville, TX, United States
- School of Medicine, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Edinburg, TX, United States
- *Correspondence: Juan Ignacio García, ; Blanca I. Restrepo, ; Marcel Yotebieng, ; Jordi B. Torrelles,
| | - Marcel Yotebieng
- Division of General Internal Medicine, Department of Medicine, Albert Einstein College of Medicine, New York City, NY, United States
- *Correspondence: Juan Ignacio García, ; Blanca I. Restrepo, ; Marcel Yotebieng, ; Jordi B. Torrelles,
| | - Jordi B. Torrelles
- Graduate School of Biomedical Sciences, University of Texas Health San Antonio, San Antonio, TX, United States
- Population Health Program, Tuberculosis Group, Texas Biomedical Research Institute, San Antonio, TX, United States
- *Correspondence: Juan Ignacio García, ; Blanca I. Restrepo, ; Marcel Yotebieng, ; Jordi B. Torrelles,
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14
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Li Y, Jiao M, Liu Y, Ren Z, Li A. Application of Metagenomic Next-Generation Sequencing in Mycobacterium tuberculosis Infection. Front Med (Lausanne) 2022; 9:802719. [PMID: 35433724 PMCID: PMC9010669 DOI: 10.3389/fmed.2022.802719] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 02/22/2022] [Indexed: 11/13/2022] Open
Abstract
The fight against Mycobacterium tuberculosis (MTB) has been going on for thousands of years, while it still poses a threat to human health. In addition to routine detections, metagenomic next-generation sequencing (mNGS) has begun to show presence as a comprehensive and hypothesis-free test. It can not only detect MTB without isolating specific pathogens but also suggest the co-infection pathogens or underlying tumor simultaneously, which is of benefit to assist in comprehensive clinical diagnosis. It also shows the potential to detect multiple drug resistance sites for precise treatment. However, considering the cost performance compared with conventional assays (especially Xpert MTB/RIF), mNGS seems to be overqualified for patients with mild and typical symptoms. Technology optimization of sequencing and analyzing should be conducted to improve the positive rate and broaden the applicable fields.
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Affiliation(s)
- Yaoguang Li
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Gene Hospital of Henan Province, Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Mengfan Jiao
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Gene Hospital of Henan Province, Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ying Liu
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Gene Hospital of Henan Province, Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhigang Ren
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Zhigang Ren,
| | - Ang Li
- Gene Hospital of Henan Province, Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Ang Li,
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15
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Mwansa-Kambafwile JRM, Chasela C, Levin J, Ismail N, Menezes C. Treatment initiation among tuberculosis patients: the role of short message service (SMS) technology and Ward-based outreach teams (WBOTs). BMC Public Health 2022; 22:318. [PMID: 35168581 PMCID: PMC8848795 DOI: 10.1186/s12889-022-12736-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 02/07/2022] [Indexed: 11/10/2022] Open
Abstract
Background In South Africa, tuberculosis (TB) is a public health problem with treatment initiation failure rates varying between 14.9 and 25%. Lack of proper provider/patient communication on next steps after testing, not being aware that results are ready; and other competing priorities are some of the reasons for this failure. We aimed to assess the effectiveness of Short Message Service (SMS) technology and ward-based outreach teams (WBOTs) in improving TB treatment initiation. A 3-arm randomized controlled trial (Standard of care-SOC, SMS technology or WBOTs) was conducted between September 2018 and April 2020. Newly diagnosed TB patients randomly allocated to SMS and WBOTs groups were sent reminder messages (text message or paper slip respectively) that results were ready. Due to unforeseen challenges (financial and impact of the COVID 19 pandemic), implementation was only in two of the eight clinics planned. Results 314 TB patients were assigned to one of three groups (SOC = 104, WBOTs = 105, and SMS = 105). Chi-square tests were used to compare proportions starting treatment (primary outcome). More patients in the SMS group (92/105; 88%) initiated treatment than in the SOC group (81/104; 78%), although this difference did not reach statistical significance (P = 0.062). The time to treatment initiation was significantly shorter in the SMS group than in the SOC group (P < 0.001). The proportions of patients initiated on treatment in the WBOTs group (45/62; 73%) and in the SOC group (44/61; 72%) were similar (P = 0.956). The times to treatment initiation for these two groups were also similar. The 3 group analysis yielded similar proportions initiated on treatment (P = 0.048 for SMS/SOC comparison and P = 0.956 for WBOTs/SOC comparison) but analysis of times to treatment initiation yielded some variations. Conclusion Reminder SMS messages sent to newly diagnosed TB patients improved the time to treatment initiation. Further research is required to show effect of the WBOTs intervention. Trial registration Retrospectively registered with the Pan African Clinical Trial Registry (PACTR202101914895981). The trial was registered with the Pan African Clinical Trial Registry on 25 January, 2021 (ref: PACTR202101914895981; https://pactr.samrc.ac.za). The registration was retrospective due to an oversight. Nevertheless, the protocol details outlined in our ethics application were strictly adhered to. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-12736-6.
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Affiliation(s)
- Judith R M Mwansa-Kambafwile
- Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa. .,Centre for Tuberculosis, National Institute of Communicable Diseases, Johannesburg, South Africa. .,Fellow of the Consortium for Advanced Research Training in Africa (CARTA), Johannesburg, South Africa.
| | - Charles Chasela
- Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - Jonathan Levin
- Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - Nazir Ismail
- Division of Infectious Diseases, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - Colin Menezes
- Division of Infectious Diseases, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
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16
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Beckwith PG, Karat AS, Govender I, Deol AK, McCreesh N, Kielmann K, Baisley K, Grant AD, Yates TA. Direct estimates of absolute ventilation and estimated Mycobacterium tuberculosis transmission risk in clinics in South Africa. PLOS GLOBAL PUBLIC HEALTH 2022; 2:e0000603. [PMID: 36962521 PMCID: PMC10021606 DOI: 10.1371/journal.pgph.0000603] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 10/03/2022] [Indexed: 11/07/2022]
Abstract
Healthcare facilities are important sites for the transmission of pathogens spread via bioaerosols, such as Mycobacterium tuberculosis. Natural ventilation can play an important role in reducing this transmission. We aimed to measure rates of natural ventilation in clinics in KwaZulu-Natal and Western Cape provinces, South Africa, then use these measurements to estimate Mycobacterium tuberculosis transmission risk. We measured ventilation in clinic spaces using a tracer-gas release method. In spaces where this was not possible, we estimated ventilation using data on indoor and outdoor carbon dioxide levels. Ventilation was measured i) under usual conditions and ii) with all windows and doors fully open. Under various assumptions about infectiousness and duration of exposure, measured absolute ventilation rates were related to risk of Mycobacterium tuberculosis transmission using the Wells-Riley Equation. In 2019, we obtained ventilation measurements in 33 clinical spaces in 10 clinics: 13 consultation rooms, 16 waiting areas and 4 other clinical spaces. Under usual conditions, the absolute ventilation rate was much higher in waiting rooms (median 1769 m3/hr, range 338-4815 m3/hr) than in consultation rooms (median 197 m3/hr, range 0-1451 m3/hr). When compared with usual conditions, fully opening existing doors and windows resulted in a median two-fold increase in ventilation. Using standard assumptions about infectiousness, we estimated that a health worker would have a 24.8% annual risk of becoming infected with Mycobacterium tuberculosis, and that a patient would have an 0.1% risk of becoming infected per visit. Opening existing doors and windows and rearranging patient pathways to preferentially use better ventilated clinic spaces result in important reductions in Mycobacterium tuberculosis transmission risk. However, unless combined with other tuberculosis infection prevention and control interventions, these changes are insufficient to reduce risk to health workers, and other highly exposed individuals, to acceptable levels.
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Affiliation(s)
- Peter G Beckwith
- Department of Medicine, University of Cape Town, Cape Town, South Africa
- TB Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Aaron S Karat
- Department of Medicine, University of Cape Town, Cape Town, South Africa
- The Institute for Global Health and Development, Queen Margaret University, Edinburgh, United Kingdom
| | - Indira Govender
- TB Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom
- Africa Health Research Institute, School of Laboratory Medicine & Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Arminder K Deol
- TB Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Nicky McCreesh
- TB Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Karina Kielmann
- The Institute for Global Health and Development, Queen Margaret University, Edinburgh, United Kingdom
- Institute of Tropical Medicine, Antwerp, Belgium
| | - Kathy Baisley
- Department of Infectious Disease Epidemiology, The London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Alison D Grant
- TB Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom
- Africa Health Research Institute, School of Laboratory Medicine & Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
- School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Tom A Yates
- Division of Infection and Immunity, Faculty of Medicine, University College London, London, United Kingdom
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Cattamanchi A, Reza TF, Nalugwa T, Adams K, Nantale M, Oyuku D, Nabwire S, Babirye D, Turyahabwe S, Tucker A, Sohn H, Ferguson O, Thompson R, Shete PB, Handley MA, Ackerman S, Joloba M, Moore DAJ, Davis JL, Dowdy DW, Fielding K, Katamba A. Multicomponent Strategy with Decentralized Molecular Testing for Tuberculosis. N Engl J Med 2021; 385:2441-2450. [PMID: 34936740 PMCID: PMC9212879 DOI: 10.1056/nejmoa2105470] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
BACKGROUND Effective strategies are needed to facilitate the prompt diagnosis and treatment of tuberculosis in countries with a high burden of the disease. METHODS We conducted a cluster-randomized trial in which Ugandan community health centers were assigned to a multicomponent diagnostic strategy (on-site molecular testing for tuberculosis, guided restructuring of clinic workflows, and monthly feedback of quality metrics) or routine care (on-site sputum-smear microscopy and referral-based molecular testing). The primary outcome was the number of adults treated for confirmed tuberculosis within 14 days after presenting to the health center for evaluation during the 16-month intervention period. Secondary outcomes included completion of tuberculosis testing, same-day diagnosis, and same-day treatment. Outcomes were also assessed on the basis of proportions. RESULTS A total of 20 health centers underwent randomization, with 10 assigned to each group. Of 10,644 eligible adults (median age, 40 years) whose data were evaluated, 60.1% were women and 43.8% had human immunodeficiency virus infection. The intervention strategy led to a greater number of patients being treated for confirmed tuberculosis within 14 days after presentation (342 patients across 10 intervention health centers vs. 220 across 10 control health centers; adjusted rate ratio, 1.56; 95% confidence interval [CI], 1.21 to 2.01). More patients at intervention centers than at control centers completed tuberculosis testing (adjusted rate ratio, 1.85; 95% CI, 1.21 to 2.82), received a same-day diagnosis (adjusted rate ratio, 1.89; 95% CI, 1.39 to 2.56), and received same-day treatment for confirmed tuberculosis (adjusted rate ratio, 2.38; 95% CI, 1.57 to 3.61). Among 706 patients with confirmed tuberculosis, a higher proportion in the intervention group than in the control group were treated on the same day (adjusted rate ratio, 2.29; 95% CI, 1.23 to 4.25) or within 14 days after presentation (adjusted rate ratio, 1.22; 95% CI, 1.06 to 1.40). CONCLUSIONS A multicomponent diagnostic strategy that included on-site molecular testing plus implementation supports to address barriers to delivery of high-quality tuberculosis evaluation services led to greater numbers of patients being tested, receiving a diagnosis, and being treated for confirmed tuberculosis. (Funded by the National Heart, Lung, and Blood Institute; XPEL-TB ClinicalTrials.gov number, NCT03044158.).
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Affiliation(s)
- Adithya Cattamanchi
- From the Division of Pulmonary and Critical Care Medicine and the Center for Tuberculosis, San Francisco General Hospital (A.C., T.F.R., P.B.S.), the Partnerships for Research in Implementation Science for Equity Center (A.C., P.B.S., M.A.H.), and the Departments of Epidemiology and Biostatistics (M.A.H.) and Social and Behavioral Sciences (S.A.), University of California, San Francisco, San Francisco; the Uganda Tuberculosis Implementation Research Consortium (A.C., T.N., M.N., D.O., S.N., D.B., S.T., P.B.S., D.A.J.M., J.L.D., D.W.D., A.K.), National Tuberculosis and Leprosy Program, Uganda Ministry of Health (S.T.), and the Schools of Biomedical Sciences (M.J.) and Medicine (A.K.), Makerere University College of Health Sciences - all in Kampala, Uganda; the Implementation Science Program (K.A.) and the Department of Epidemiology (A.T., H.S., O.F., R.T., D.W.D.), Johns Hopkins Bloomberg School of Public Health, Baltimore; the Faculties of Infectious and Tropical Diseases (D.A.J.M.) and Epidemiology and Population Health (K.F.) and the TB Centre (D.A.J.M., K.F.), London School of Hygiene and Tropical Medicine, London; the Department of Epidemiology of Microbial Diseases and the Center for Methods in Implementation and Prevention Sciences, Yale School of Public Health, and the Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine - both in New Haven, CT (J.L.D.)
| | - Tania F Reza
- From the Division of Pulmonary and Critical Care Medicine and the Center for Tuberculosis, San Francisco General Hospital (A.C., T.F.R., P.B.S.), the Partnerships for Research in Implementation Science for Equity Center (A.C., P.B.S., M.A.H.), and the Departments of Epidemiology and Biostatistics (M.A.H.) and Social and Behavioral Sciences (S.A.), University of California, San Francisco, San Francisco; the Uganda Tuberculosis Implementation Research Consortium (A.C., T.N., M.N., D.O., S.N., D.B., S.T., P.B.S., D.A.J.M., J.L.D., D.W.D., A.K.), National Tuberculosis and Leprosy Program, Uganda Ministry of Health (S.T.), and the Schools of Biomedical Sciences (M.J.) and Medicine (A.K.), Makerere University College of Health Sciences - all in Kampala, Uganda; the Implementation Science Program (K.A.) and the Department of Epidemiology (A.T., H.S., O.F., R.T., D.W.D.), Johns Hopkins Bloomberg School of Public Health, Baltimore; the Faculties of Infectious and Tropical Diseases (D.A.J.M.) and Epidemiology and Population Health (K.F.) and the TB Centre (D.A.J.M., K.F.), London School of Hygiene and Tropical Medicine, London; the Department of Epidemiology of Microbial Diseases and the Center for Methods in Implementation and Prevention Sciences, Yale School of Public Health, and the Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine - both in New Haven, CT (J.L.D.)
| | - Talemwa Nalugwa
- From the Division of Pulmonary and Critical Care Medicine and the Center for Tuberculosis, San Francisco General Hospital (A.C., T.F.R., P.B.S.), the Partnerships for Research in Implementation Science for Equity Center (A.C., P.B.S., M.A.H.), and the Departments of Epidemiology and Biostatistics (M.A.H.) and Social and Behavioral Sciences (S.A.), University of California, San Francisco, San Francisco; the Uganda Tuberculosis Implementation Research Consortium (A.C., T.N., M.N., D.O., S.N., D.B., S.T., P.B.S., D.A.J.M., J.L.D., D.W.D., A.K.), National Tuberculosis and Leprosy Program, Uganda Ministry of Health (S.T.), and the Schools of Biomedical Sciences (M.J.) and Medicine (A.K.), Makerere University College of Health Sciences - all in Kampala, Uganda; the Implementation Science Program (K.A.) and the Department of Epidemiology (A.T., H.S., O.F., R.T., D.W.D.), Johns Hopkins Bloomberg School of Public Health, Baltimore; the Faculties of Infectious and Tropical Diseases (D.A.J.M.) and Epidemiology and Population Health (K.F.) and the TB Centre (D.A.J.M., K.F.), London School of Hygiene and Tropical Medicine, London; the Department of Epidemiology of Microbial Diseases and the Center for Methods in Implementation and Prevention Sciences, Yale School of Public Health, and the Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine - both in New Haven, CT (J.L.D.)
| | - Katherine Adams
- From the Division of Pulmonary and Critical Care Medicine and the Center for Tuberculosis, San Francisco General Hospital (A.C., T.F.R., P.B.S.), the Partnerships for Research in Implementation Science for Equity Center (A.C., P.B.S., M.A.H.), and the Departments of Epidemiology and Biostatistics (M.A.H.) and Social and Behavioral Sciences (S.A.), University of California, San Francisco, San Francisco; the Uganda Tuberculosis Implementation Research Consortium (A.C., T.N., M.N., D.O., S.N., D.B., S.T., P.B.S., D.A.J.M., J.L.D., D.W.D., A.K.), National Tuberculosis and Leprosy Program, Uganda Ministry of Health (S.T.), and the Schools of Biomedical Sciences (M.J.) and Medicine (A.K.), Makerere University College of Health Sciences - all in Kampala, Uganda; the Implementation Science Program (K.A.) and the Department of Epidemiology (A.T., H.S., O.F., R.T., D.W.D.), Johns Hopkins Bloomberg School of Public Health, Baltimore; the Faculties of Infectious and Tropical Diseases (D.A.J.M.) and Epidemiology and Population Health (K.F.) and the TB Centre (D.A.J.M., K.F.), London School of Hygiene and Tropical Medicine, London; the Department of Epidemiology of Microbial Diseases and the Center for Methods in Implementation and Prevention Sciences, Yale School of Public Health, and the Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine - both in New Haven, CT (J.L.D.)
| | - Mariam Nantale
- From the Division of Pulmonary and Critical Care Medicine and the Center for Tuberculosis, San Francisco General Hospital (A.C., T.F.R., P.B.S.), the Partnerships for Research in Implementation Science for Equity Center (A.C., P.B.S., M.A.H.), and the Departments of Epidemiology and Biostatistics (M.A.H.) and Social and Behavioral Sciences (S.A.), University of California, San Francisco, San Francisco; the Uganda Tuberculosis Implementation Research Consortium (A.C., T.N., M.N., D.O., S.N., D.B., S.T., P.B.S., D.A.J.M., J.L.D., D.W.D., A.K.), National Tuberculosis and Leprosy Program, Uganda Ministry of Health (S.T.), and the Schools of Biomedical Sciences (M.J.) and Medicine (A.K.), Makerere University College of Health Sciences - all in Kampala, Uganda; the Implementation Science Program (K.A.) and the Department of Epidemiology (A.T., H.S., O.F., R.T., D.W.D.), Johns Hopkins Bloomberg School of Public Health, Baltimore; the Faculties of Infectious and Tropical Diseases (D.A.J.M.) and Epidemiology and Population Health (K.F.) and the TB Centre (D.A.J.M., K.F.), London School of Hygiene and Tropical Medicine, London; the Department of Epidemiology of Microbial Diseases and the Center for Methods in Implementation and Prevention Sciences, Yale School of Public Health, and the Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine - both in New Haven, CT (J.L.D.)
| | - Denis Oyuku
- From the Division of Pulmonary and Critical Care Medicine and the Center for Tuberculosis, San Francisco General Hospital (A.C., T.F.R., P.B.S.), the Partnerships for Research in Implementation Science for Equity Center (A.C., P.B.S., M.A.H.), and the Departments of Epidemiology and Biostatistics (M.A.H.) and Social and Behavioral Sciences (S.A.), University of California, San Francisco, San Francisco; the Uganda Tuberculosis Implementation Research Consortium (A.C., T.N., M.N., D.O., S.N., D.B., S.T., P.B.S., D.A.J.M., J.L.D., D.W.D., A.K.), National Tuberculosis and Leprosy Program, Uganda Ministry of Health (S.T.), and the Schools of Biomedical Sciences (M.J.) and Medicine (A.K.), Makerere University College of Health Sciences - all in Kampala, Uganda; the Implementation Science Program (K.A.) and the Department of Epidemiology (A.T., H.S., O.F., R.T., D.W.D.), Johns Hopkins Bloomberg School of Public Health, Baltimore; the Faculties of Infectious and Tropical Diseases (D.A.J.M.) and Epidemiology and Population Health (K.F.) and the TB Centre (D.A.J.M., K.F.), London School of Hygiene and Tropical Medicine, London; the Department of Epidemiology of Microbial Diseases and the Center for Methods in Implementation and Prevention Sciences, Yale School of Public Health, and the Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine - both in New Haven, CT (J.L.D.)
| | - Sarah Nabwire
- From the Division of Pulmonary and Critical Care Medicine and the Center for Tuberculosis, San Francisco General Hospital (A.C., T.F.R., P.B.S.), the Partnerships for Research in Implementation Science for Equity Center (A.C., P.B.S., M.A.H.), and the Departments of Epidemiology and Biostatistics (M.A.H.) and Social and Behavioral Sciences (S.A.), University of California, San Francisco, San Francisco; the Uganda Tuberculosis Implementation Research Consortium (A.C., T.N., M.N., D.O., S.N., D.B., S.T., P.B.S., D.A.J.M., J.L.D., D.W.D., A.K.), National Tuberculosis and Leprosy Program, Uganda Ministry of Health (S.T.), and the Schools of Biomedical Sciences (M.J.) and Medicine (A.K.), Makerere University College of Health Sciences - all in Kampala, Uganda; the Implementation Science Program (K.A.) and the Department of Epidemiology (A.T., H.S., O.F., R.T., D.W.D.), Johns Hopkins Bloomberg School of Public Health, Baltimore; the Faculties of Infectious and Tropical Diseases (D.A.J.M.) and Epidemiology and Population Health (K.F.) and the TB Centre (D.A.J.M., K.F.), London School of Hygiene and Tropical Medicine, London; the Department of Epidemiology of Microbial Diseases and the Center for Methods in Implementation and Prevention Sciences, Yale School of Public Health, and the Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine - both in New Haven, CT (J.L.D.)
| | - Diana Babirye
- From the Division of Pulmonary and Critical Care Medicine and the Center for Tuberculosis, San Francisco General Hospital (A.C., T.F.R., P.B.S.), the Partnerships for Research in Implementation Science for Equity Center (A.C., P.B.S., M.A.H.), and the Departments of Epidemiology and Biostatistics (M.A.H.) and Social and Behavioral Sciences (S.A.), University of California, San Francisco, San Francisco; the Uganda Tuberculosis Implementation Research Consortium (A.C., T.N., M.N., D.O., S.N., D.B., S.T., P.B.S., D.A.J.M., J.L.D., D.W.D., A.K.), National Tuberculosis and Leprosy Program, Uganda Ministry of Health (S.T.), and the Schools of Biomedical Sciences (M.J.) and Medicine (A.K.), Makerere University College of Health Sciences - all in Kampala, Uganda; the Implementation Science Program (K.A.) and the Department of Epidemiology (A.T., H.S., O.F., R.T., D.W.D.), Johns Hopkins Bloomberg School of Public Health, Baltimore; the Faculties of Infectious and Tropical Diseases (D.A.J.M.) and Epidemiology and Population Health (K.F.) and the TB Centre (D.A.J.M., K.F.), London School of Hygiene and Tropical Medicine, London; the Department of Epidemiology of Microbial Diseases and the Center for Methods in Implementation and Prevention Sciences, Yale School of Public Health, and the Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine - both in New Haven, CT (J.L.D.)
| | - Stavia Turyahabwe
- From the Division of Pulmonary and Critical Care Medicine and the Center for Tuberculosis, San Francisco General Hospital (A.C., T.F.R., P.B.S.), the Partnerships for Research in Implementation Science for Equity Center (A.C., P.B.S., M.A.H.), and the Departments of Epidemiology and Biostatistics (M.A.H.) and Social and Behavioral Sciences (S.A.), University of California, San Francisco, San Francisco; the Uganda Tuberculosis Implementation Research Consortium (A.C., T.N., M.N., D.O., S.N., D.B., S.T., P.B.S., D.A.J.M., J.L.D., D.W.D., A.K.), National Tuberculosis and Leprosy Program, Uganda Ministry of Health (S.T.), and the Schools of Biomedical Sciences (M.J.) and Medicine (A.K.), Makerere University College of Health Sciences - all in Kampala, Uganda; the Implementation Science Program (K.A.) and the Department of Epidemiology (A.T., H.S., O.F., R.T., D.W.D.), Johns Hopkins Bloomberg School of Public Health, Baltimore; the Faculties of Infectious and Tropical Diseases (D.A.J.M.) and Epidemiology and Population Health (K.F.) and the TB Centre (D.A.J.M., K.F.), London School of Hygiene and Tropical Medicine, London; the Department of Epidemiology of Microbial Diseases and the Center for Methods in Implementation and Prevention Sciences, Yale School of Public Health, and the Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine - both in New Haven, CT (J.L.D.)
| | - Austin Tucker
- From the Division of Pulmonary and Critical Care Medicine and the Center for Tuberculosis, San Francisco General Hospital (A.C., T.F.R., P.B.S.), the Partnerships for Research in Implementation Science for Equity Center (A.C., P.B.S., M.A.H.), and the Departments of Epidemiology and Biostatistics (M.A.H.) and Social and Behavioral Sciences (S.A.), University of California, San Francisco, San Francisco; the Uganda Tuberculosis Implementation Research Consortium (A.C., T.N., M.N., D.O., S.N., D.B., S.T., P.B.S., D.A.J.M., J.L.D., D.W.D., A.K.), National Tuberculosis and Leprosy Program, Uganda Ministry of Health (S.T.), and the Schools of Biomedical Sciences (M.J.) and Medicine (A.K.), Makerere University College of Health Sciences - all in Kampala, Uganda; the Implementation Science Program (K.A.) and the Department of Epidemiology (A.T., H.S., O.F., R.T., D.W.D.), Johns Hopkins Bloomberg School of Public Health, Baltimore; the Faculties of Infectious and Tropical Diseases (D.A.J.M.) and Epidemiology and Population Health (K.F.) and the TB Centre (D.A.J.M., K.F.), London School of Hygiene and Tropical Medicine, London; the Department of Epidemiology of Microbial Diseases and the Center for Methods in Implementation and Prevention Sciences, Yale School of Public Health, and the Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine - both in New Haven, CT (J.L.D.)
| | - Hojoon Sohn
- From the Division of Pulmonary and Critical Care Medicine and the Center for Tuberculosis, San Francisco General Hospital (A.C., T.F.R., P.B.S.), the Partnerships for Research in Implementation Science for Equity Center (A.C., P.B.S., M.A.H.), and the Departments of Epidemiology and Biostatistics (M.A.H.) and Social and Behavioral Sciences (S.A.), University of California, San Francisco, San Francisco; the Uganda Tuberculosis Implementation Research Consortium (A.C., T.N., M.N., D.O., S.N., D.B., S.T., P.B.S., D.A.J.M., J.L.D., D.W.D., A.K.), National Tuberculosis and Leprosy Program, Uganda Ministry of Health (S.T.), and the Schools of Biomedical Sciences (M.J.) and Medicine (A.K.), Makerere University College of Health Sciences - all in Kampala, Uganda; the Implementation Science Program (K.A.) and the Department of Epidemiology (A.T., H.S., O.F., R.T., D.W.D.), Johns Hopkins Bloomberg School of Public Health, Baltimore; the Faculties of Infectious and Tropical Diseases (D.A.J.M.) and Epidemiology and Population Health (K.F.) and the TB Centre (D.A.J.M., K.F.), London School of Hygiene and Tropical Medicine, London; the Department of Epidemiology of Microbial Diseases and the Center for Methods in Implementation and Prevention Sciences, Yale School of Public Health, and the Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine - both in New Haven, CT (J.L.D.)
| | - Olivia Ferguson
- From the Division of Pulmonary and Critical Care Medicine and the Center for Tuberculosis, San Francisco General Hospital (A.C., T.F.R., P.B.S.), the Partnerships for Research in Implementation Science for Equity Center (A.C., P.B.S., M.A.H.), and the Departments of Epidemiology and Biostatistics (M.A.H.) and Social and Behavioral Sciences (S.A.), University of California, San Francisco, San Francisco; the Uganda Tuberculosis Implementation Research Consortium (A.C., T.N., M.N., D.O., S.N., D.B., S.T., P.B.S., D.A.J.M., J.L.D., D.W.D., A.K.), National Tuberculosis and Leprosy Program, Uganda Ministry of Health (S.T.), and the Schools of Biomedical Sciences (M.J.) and Medicine (A.K.), Makerere University College of Health Sciences - all in Kampala, Uganda; the Implementation Science Program (K.A.) and the Department of Epidemiology (A.T., H.S., O.F., R.T., D.W.D.), Johns Hopkins Bloomberg School of Public Health, Baltimore; the Faculties of Infectious and Tropical Diseases (D.A.J.M.) and Epidemiology and Population Health (K.F.) and the TB Centre (D.A.J.M., K.F.), London School of Hygiene and Tropical Medicine, London; the Department of Epidemiology of Microbial Diseases and the Center for Methods in Implementation and Prevention Sciences, Yale School of Public Health, and the Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine - both in New Haven, CT (J.L.D.)
| | - Ryan Thompson
- From the Division of Pulmonary and Critical Care Medicine and the Center for Tuberculosis, San Francisco General Hospital (A.C., T.F.R., P.B.S.), the Partnerships for Research in Implementation Science for Equity Center (A.C., P.B.S., M.A.H.), and the Departments of Epidemiology and Biostatistics (M.A.H.) and Social and Behavioral Sciences (S.A.), University of California, San Francisco, San Francisco; the Uganda Tuberculosis Implementation Research Consortium (A.C., T.N., M.N., D.O., S.N., D.B., S.T., P.B.S., D.A.J.M., J.L.D., D.W.D., A.K.), National Tuberculosis and Leprosy Program, Uganda Ministry of Health (S.T.), and the Schools of Biomedical Sciences (M.J.) and Medicine (A.K.), Makerere University College of Health Sciences - all in Kampala, Uganda; the Implementation Science Program (K.A.) and the Department of Epidemiology (A.T., H.S., O.F., R.T., D.W.D.), Johns Hopkins Bloomberg School of Public Health, Baltimore; the Faculties of Infectious and Tropical Diseases (D.A.J.M.) and Epidemiology and Population Health (K.F.) and the TB Centre (D.A.J.M., K.F.), London School of Hygiene and Tropical Medicine, London; the Department of Epidemiology of Microbial Diseases and the Center for Methods in Implementation and Prevention Sciences, Yale School of Public Health, and the Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine - both in New Haven, CT (J.L.D.)
| | - Priya B Shete
- From the Division of Pulmonary and Critical Care Medicine and the Center for Tuberculosis, San Francisco General Hospital (A.C., T.F.R., P.B.S.), the Partnerships for Research in Implementation Science for Equity Center (A.C., P.B.S., M.A.H.), and the Departments of Epidemiology and Biostatistics (M.A.H.) and Social and Behavioral Sciences (S.A.), University of California, San Francisco, San Francisco; the Uganda Tuberculosis Implementation Research Consortium (A.C., T.N., M.N., D.O., S.N., D.B., S.T., P.B.S., D.A.J.M., J.L.D., D.W.D., A.K.), National Tuberculosis and Leprosy Program, Uganda Ministry of Health (S.T.), and the Schools of Biomedical Sciences (M.J.) and Medicine (A.K.), Makerere University College of Health Sciences - all in Kampala, Uganda; the Implementation Science Program (K.A.) and the Department of Epidemiology (A.T., H.S., O.F., R.T., D.W.D.), Johns Hopkins Bloomberg School of Public Health, Baltimore; the Faculties of Infectious and Tropical Diseases (D.A.J.M.) and Epidemiology and Population Health (K.F.) and the TB Centre (D.A.J.M., K.F.), London School of Hygiene and Tropical Medicine, London; the Department of Epidemiology of Microbial Diseases and the Center for Methods in Implementation and Prevention Sciences, Yale School of Public Health, and the Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine - both in New Haven, CT (J.L.D.)
| | - Margaret A Handley
- From the Division of Pulmonary and Critical Care Medicine and the Center for Tuberculosis, San Francisco General Hospital (A.C., T.F.R., P.B.S.), the Partnerships for Research in Implementation Science for Equity Center (A.C., P.B.S., M.A.H.), and the Departments of Epidemiology and Biostatistics (M.A.H.) and Social and Behavioral Sciences (S.A.), University of California, San Francisco, San Francisco; the Uganda Tuberculosis Implementation Research Consortium (A.C., T.N., M.N., D.O., S.N., D.B., S.T., P.B.S., D.A.J.M., J.L.D., D.W.D., A.K.), National Tuberculosis and Leprosy Program, Uganda Ministry of Health (S.T.), and the Schools of Biomedical Sciences (M.J.) and Medicine (A.K.), Makerere University College of Health Sciences - all in Kampala, Uganda; the Implementation Science Program (K.A.) and the Department of Epidemiology (A.T., H.S., O.F., R.T., D.W.D.), Johns Hopkins Bloomberg School of Public Health, Baltimore; the Faculties of Infectious and Tropical Diseases (D.A.J.M.) and Epidemiology and Population Health (K.F.) and the TB Centre (D.A.J.M., K.F.), London School of Hygiene and Tropical Medicine, London; the Department of Epidemiology of Microbial Diseases and the Center for Methods in Implementation and Prevention Sciences, Yale School of Public Health, and the Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine - both in New Haven, CT (J.L.D.)
| | - Sara Ackerman
- From the Division of Pulmonary and Critical Care Medicine and the Center for Tuberculosis, San Francisco General Hospital (A.C., T.F.R., P.B.S.), the Partnerships for Research in Implementation Science for Equity Center (A.C., P.B.S., M.A.H.), and the Departments of Epidemiology and Biostatistics (M.A.H.) and Social and Behavioral Sciences (S.A.), University of California, San Francisco, San Francisco; the Uganda Tuberculosis Implementation Research Consortium (A.C., T.N., M.N., D.O., S.N., D.B., S.T., P.B.S., D.A.J.M., J.L.D., D.W.D., A.K.), National Tuberculosis and Leprosy Program, Uganda Ministry of Health (S.T.), and the Schools of Biomedical Sciences (M.J.) and Medicine (A.K.), Makerere University College of Health Sciences - all in Kampala, Uganda; the Implementation Science Program (K.A.) and the Department of Epidemiology (A.T., H.S., O.F., R.T., D.W.D.), Johns Hopkins Bloomberg School of Public Health, Baltimore; the Faculties of Infectious and Tropical Diseases (D.A.J.M.) and Epidemiology and Population Health (K.F.) and the TB Centre (D.A.J.M., K.F.), London School of Hygiene and Tropical Medicine, London; the Department of Epidemiology of Microbial Diseases and the Center for Methods in Implementation and Prevention Sciences, Yale School of Public Health, and the Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine - both in New Haven, CT (J.L.D.)
| | - Moses Joloba
- From the Division of Pulmonary and Critical Care Medicine and the Center for Tuberculosis, San Francisco General Hospital (A.C., T.F.R., P.B.S.), the Partnerships for Research in Implementation Science for Equity Center (A.C., P.B.S., M.A.H.), and the Departments of Epidemiology and Biostatistics (M.A.H.) and Social and Behavioral Sciences (S.A.), University of California, San Francisco, San Francisco; the Uganda Tuberculosis Implementation Research Consortium (A.C., T.N., M.N., D.O., S.N., D.B., S.T., P.B.S., D.A.J.M., J.L.D., D.W.D., A.K.), National Tuberculosis and Leprosy Program, Uganda Ministry of Health (S.T.), and the Schools of Biomedical Sciences (M.J.) and Medicine (A.K.), Makerere University College of Health Sciences - all in Kampala, Uganda; the Implementation Science Program (K.A.) and the Department of Epidemiology (A.T., H.S., O.F., R.T., D.W.D.), Johns Hopkins Bloomberg School of Public Health, Baltimore; the Faculties of Infectious and Tropical Diseases (D.A.J.M.) and Epidemiology and Population Health (K.F.) and the TB Centre (D.A.J.M., K.F.), London School of Hygiene and Tropical Medicine, London; the Department of Epidemiology of Microbial Diseases and the Center for Methods in Implementation and Prevention Sciences, Yale School of Public Health, and the Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine - both in New Haven, CT (J.L.D.)
| | - David A J Moore
- From the Division of Pulmonary and Critical Care Medicine and the Center for Tuberculosis, San Francisco General Hospital (A.C., T.F.R., P.B.S.), the Partnerships for Research in Implementation Science for Equity Center (A.C., P.B.S., M.A.H.), and the Departments of Epidemiology and Biostatistics (M.A.H.) and Social and Behavioral Sciences (S.A.), University of California, San Francisco, San Francisco; the Uganda Tuberculosis Implementation Research Consortium (A.C., T.N., M.N., D.O., S.N., D.B., S.T., P.B.S., D.A.J.M., J.L.D., D.W.D., A.K.), National Tuberculosis and Leprosy Program, Uganda Ministry of Health (S.T.), and the Schools of Biomedical Sciences (M.J.) and Medicine (A.K.), Makerere University College of Health Sciences - all in Kampala, Uganda; the Implementation Science Program (K.A.) and the Department of Epidemiology (A.T., H.S., O.F., R.T., D.W.D.), Johns Hopkins Bloomberg School of Public Health, Baltimore; the Faculties of Infectious and Tropical Diseases (D.A.J.M.) and Epidemiology and Population Health (K.F.) and the TB Centre (D.A.J.M., K.F.), London School of Hygiene and Tropical Medicine, London; the Department of Epidemiology of Microbial Diseases and the Center for Methods in Implementation and Prevention Sciences, Yale School of Public Health, and the Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine - both in New Haven, CT (J.L.D.)
| | - J Lucian Davis
- From the Division of Pulmonary and Critical Care Medicine and the Center for Tuberculosis, San Francisco General Hospital (A.C., T.F.R., P.B.S.), the Partnerships for Research in Implementation Science for Equity Center (A.C., P.B.S., M.A.H.), and the Departments of Epidemiology and Biostatistics (M.A.H.) and Social and Behavioral Sciences (S.A.), University of California, San Francisco, San Francisco; the Uganda Tuberculosis Implementation Research Consortium (A.C., T.N., M.N., D.O., S.N., D.B., S.T., P.B.S., D.A.J.M., J.L.D., D.W.D., A.K.), National Tuberculosis and Leprosy Program, Uganda Ministry of Health (S.T.), and the Schools of Biomedical Sciences (M.J.) and Medicine (A.K.), Makerere University College of Health Sciences - all in Kampala, Uganda; the Implementation Science Program (K.A.) and the Department of Epidemiology (A.T., H.S., O.F., R.T., D.W.D.), Johns Hopkins Bloomberg School of Public Health, Baltimore; the Faculties of Infectious and Tropical Diseases (D.A.J.M.) and Epidemiology and Population Health (K.F.) and the TB Centre (D.A.J.M., K.F.), London School of Hygiene and Tropical Medicine, London; the Department of Epidemiology of Microbial Diseases and the Center for Methods in Implementation and Prevention Sciences, Yale School of Public Health, and the Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine - both in New Haven, CT (J.L.D.)
| | - David W Dowdy
- From the Division of Pulmonary and Critical Care Medicine and the Center for Tuberculosis, San Francisco General Hospital (A.C., T.F.R., P.B.S.), the Partnerships for Research in Implementation Science for Equity Center (A.C., P.B.S., M.A.H.), and the Departments of Epidemiology and Biostatistics (M.A.H.) and Social and Behavioral Sciences (S.A.), University of California, San Francisco, San Francisco; the Uganda Tuberculosis Implementation Research Consortium (A.C., T.N., M.N., D.O., S.N., D.B., S.T., P.B.S., D.A.J.M., J.L.D., D.W.D., A.K.), National Tuberculosis and Leprosy Program, Uganda Ministry of Health (S.T.), and the Schools of Biomedical Sciences (M.J.) and Medicine (A.K.), Makerere University College of Health Sciences - all in Kampala, Uganda; the Implementation Science Program (K.A.) and the Department of Epidemiology (A.T., H.S., O.F., R.T., D.W.D.), Johns Hopkins Bloomberg School of Public Health, Baltimore; the Faculties of Infectious and Tropical Diseases (D.A.J.M.) and Epidemiology and Population Health (K.F.) and the TB Centre (D.A.J.M., K.F.), London School of Hygiene and Tropical Medicine, London; the Department of Epidemiology of Microbial Diseases and the Center for Methods in Implementation and Prevention Sciences, Yale School of Public Health, and the Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine - both in New Haven, CT (J.L.D.)
| | - Katherine Fielding
- From the Division of Pulmonary and Critical Care Medicine and the Center for Tuberculosis, San Francisco General Hospital (A.C., T.F.R., P.B.S.), the Partnerships for Research in Implementation Science for Equity Center (A.C., P.B.S., M.A.H.), and the Departments of Epidemiology and Biostatistics (M.A.H.) and Social and Behavioral Sciences (S.A.), University of California, San Francisco, San Francisco; the Uganda Tuberculosis Implementation Research Consortium (A.C., T.N., M.N., D.O., S.N., D.B., S.T., P.B.S., D.A.J.M., J.L.D., D.W.D., A.K.), National Tuberculosis and Leprosy Program, Uganda Ministry of Health (S.T.), and the Schools of Biomedical Sciences (M.J.) and Medicine (A.K.), Makerere University College of Health Sciences - all in Kampala, Uganda; the Implementation Science Program (K.A.) and the Department of Epidemiology (A.T., H.S., O.F., R.T., D.W.D.), Johns Hopkins Bloomberg School of Public Health, Baltimore; the Faculties of Infectious and Tropical Diseases (D.A.J.M.) and Epidemiology and Population Health (K.F.) and the TB Centre (D.A.J.M., K.F.), London School of Hygiene and Tropical Medicine, London; the Department of Epidemiology of Microbial Diseases and the Center for Methods in Implementation and Prevention Sciences, Yale School of Public Health, and the Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine - both in New Haven, CT (J.L.D.)
| | - Achilles Katamba
- From the Division of Pulmonary and Critical Care Medicine and the Center for Tuberculosis, San Francisco General Hospital (A.C., T.F.R., P.B.S.), the Partnerships for Research in Implementation Science for Equity Center (A.C., P.B.S., M.A.H.), and the Departments of Epidemiology and Biostatistics (M.A.H.) and Social and Behavioral Sciences (S.A.), University of California, San Francisco, San Francisco; the Uganda Tuberculosis Implementation Research Consortium (A.C., T.N., M.N., D.O., S.N., D.B., S.T., P.B.S., D.A.J.M., J.L.D., D.W.D., A.K.), National Tuberculosis and Leprosy Program, Uganda Ministry of Health (S.T.), and the Schools of Biomedical Sciences (M.J.) and Medicine (A.K.), Makerere University College of Health Sciences - all in Kampala, Uganda; the Implementation Science Program (K.A.) and the Department of Epidemiology (A.T., H.S., O.F., R.T., D.W.D.), Johns Hopkins Bloomberg School of Public Health, Baltimore; the Faculties of Infectious and Tropical Diseases (D.A.J.M.) and Epidemiology and Population Health (K.F.) and the TB Centre (D.A.J.M., K.F.), London School of Hygiene and Tropical Medicine, London; the Department of Epidemiology of Microbial Diseases and the Center for Methods in Implementation and Prevention Sciences, Yale School of Public Health, and the Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine - both in New Haven, CT (J.L.D.)
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de Faria MGBF, Andrade RLDP, Camillo AJG, Leite KFDS, Saita NM, Bollela VR, de Rezende CEM, Monroe AA. Effectiveness of GeneXpert® in the diagnosis of tuberculosis in people living with HIV/AIDS. Rev Saude Publica 2021; 55:89. [PMID: 34932706 PMCID: PMC8664060 DOI: 10.11606/s1518-8787.2021055003125] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 02/19/2021] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVE To identify and synthesize the scientific knowledge produced regarding the effectiveness of the GeneXpert test in the diagnosis of pulmonary tuberculosis (TB) in people living with HIV/AIDS. METHODS Integrative literature review, which was searched on Embase, Scopus, PubMed, Cinahl, Academic Search Premier, Socindex, and LILACS platforms, in December 2019. The studies surveyed went through two stages of selection: reading of titles and abstracts by two reviewers independently; using the Rayyan platform and reading. Nineteen primary studies in English, Portuguese, and Spanish that answered the study's guiding question were included: How effective is the GeneXpert test in the diagnosis of pulmonary TB in people living with HIV/AIDS? RESULTS The use of GeneXpert substantially increased the detection of TB cases among the population co-infected with HIV/AIDS, with sensitivity ranging from 68% to 100%, superior to sputum smear microscopy. Specificity ranged from 91.7% to 100%; the positive predictive value from 79.2% to 96.1%; and the negative predictive value from 84.6% to 99.3%. These values were considered similar to sputum smear microscopy by most studies. We also compared these results with different ways of performing culture and other molecular tests, being considered inferior only to the Xpert Ultra. CONCLUSION It is possible to affirm that places with a high incidence of HIV/AIDS would benefit from the implementation of the GeneXpert test, entailing effectiveness in diagnosing pulmonary TB in this population when compared to sputum smear microscopy, a widely used test for detection of cases.
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Affiliation(s)
- Mariana Gaspar Botelho Funari de Faria
- Universidade de São PauloEscola de Enfermagem de Ribeirão PretoPrograma de Pós-Graduação em Saúde PúblicaRibeirão PretoSPBrasilUniversidade de São Paulo. Escola de Enfermagem de Ribeirão Preto. Programa de Pós-Graduação em Saúde Pública. Ribeirão Preto, SP, Brasil
| | - Rubia Laine de Paula Andrade
- Universidade de São PauloEscola de Enfermagem de Ribeirão PretoDepartamento Materno-Infantil e Saúde PúblicaRibeirão PretoSPBrasilUniversidade de São Paulo. Escola de Enfermagem de Ribeirão Preto. Departamento Materno-Infantil e Saúde Pública. Ribeirão Preto, SP, Brasil
| | - Ana Julia Gonçalves Camillo
- Universidade de São PauloEscola de Enfermagem de Ribeirão PretoPrograma de Pós-Graduação em Saúde PúblicaRibeirão PretoSPBrasilUniversidade de São Paulo. Escola de Enfermagem de Ribeirão Preto. Programa de Pós-Graduação em Saúde Pública. Ribeirão Preto, SP, Brasil
| | - Karina Fonseca de Souza Leite
- Universidade de São PauloEscola de Enfermagem de Ribeirão PretoPrograma de Pós-Graduação em Saúde PúblicaRibeirão PretoSPBrasilUniversidade de São Paulo. Escola de Enfermagem de Ribeirão Preto. Programa de Pós-Graduação em Saúde Pública. Ribeirão Preto, SP, Brasil
| | - Nanci Michele Saita
- Universidade de São PauloEscola de Enfermagem de Ribeirão PretoPrograma de Pós-Graduação em Saúde PúblicaRibeirão PretoSPBrasilUniversidade de São Paulo. Escola de Enfermagem de Ribeirão Preto. Programa de Pós-Graduação em Saúde Pública. Ribeirão Preto, SP, Brasil
| | - Valdes Roberto Bollela
- Universidade de São PauloFaculdade de Medicina de Ribeirão PretoDepartamento de Clínica MédicaRibeirão PretoSPBrasilUniversidade de São Paulo. Faculdade de Medicina de Ribeirão Preto. Departamento de Clínica Médica e Divisão de Moléstias Infecciosas. Ribeirão Preto, SP, Brasil
| | - Carlos Eduardo Menezes de Rezende
- Universidade de São PauloEscola de Enfermagem de Ribeirão PretoPrograma de Pós-Graduação em Saúde PúblicaRibeirão PretoSPBrasilUniversidade de São Paulo. Escola de Enfermagem de Ribeirão Preto. Programa de Pós-Graduação em Saúde Pública. Ribeirão Preto, SP, Brasil
- Ministério da SaúdeAgência Nacional de Saúde SuplementarRio de JaneiroRJBrasilMinistério da Saúde. Agência Nacional de Saúde Suplementar. Rio de Janeiro, RJ, Brasil
| | - Aline Aparecida Monroe
- Universidade de São PauloEscola de Enfermagem de Ribeirão PretoDepartamento Materno-Infantil e Saúde PúblicaRibeirão PretoSPBrasilUniversidade de São Paulo. Escola de Enfermagem de Ribeirão Preto. Departamento Materno-Infantil e Saúde Pública. Ribeirão Preto, SP, Brasil
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Baatjies L, Loxton AG, Williams MJ. Host and Bacterial Iron Homeostasis, an Underexplored Area in Tuberculosis Biomarker Research. Front Immunol 2021; 12:742059. [PMID: 34777355 PMCID: PMC8586213 DOI: 10.3389/fimmu.2021.742059] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 10/14/2021] [Indexed: 01/10/2023] Open
Abstract
Mycobacterium tuberculosis (Mtb) "a human adapted pathogen" has found multiple ways to manipulate the host immune response during infection. The human immune response to Mtb infection is a highly complex cascade of reactions, with macrophages as preferred intracellular location. Interaction with the host through infection gives rise to expression of specific gene products for survival and multiplication within the host. The signals that the pathogens encounter during infection cause them to selectively express genes in response to signals. One strategy to identify Mtb antigens with diagnostic potential is to identify genes that are specifically induced during infection or in specific disease stages. The shortcomings of current immunodiagnostics include the failure to detect progression from latent infection to active tuberculosis disease, and the inability to monitor treatment efficacy. This highlights the need for new tuberculosis biomarkers. These biomarkers should be highly sensitive and specific diagnosing TB infection, specifically distinguishing between latent infection and active disease. The regulation of iron levels by the host plays a crucial role in the susceptibility and outcome of Mtb infection. Of interest are the siderophore biosynthetic genes, encoded by the mbt-1 and mbt-2 loci and the SUF (mobilization of sulphur) operon (sufR-sufB-sufD-sufC-csd-nifU-sufT), which encodes the primary iron-sulphur cluster biogenesis system. These genes are induced during iron limitation and intracellular growth of Mtb, pointing to their importance during infection.
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Affiliation(s)
- Lucinda Baatjies
- Department of Science and Innovation (DSI)-National Research Foundation (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
| | - Andre G. Loxton
- Department of Science and Innovation (DSI)-National Research Foundation (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
| | - Monique J. Williams
- Department of Science and Innovation (DSI)-National Research Foundation (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
- Department of Molecular and Cell Biology, University of Cape Town, Cape Town, South Africa
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Kaso AW, Hailu A. Costs and cost-effectiveness of Gene Xpert compared to smear microscopy for the diagnosis of pulmonary tuberculosis using real-world data from Arsi zone, Ethiopia. PLoS One 2021; 16:e0259056. [PMID: 34695153 PMCID: PMC8544827 DOI: 10.1371/journal.pone.0259056] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 10/11/2021] [Indexed: 12/27/2022] Open
Abstract
Background Early diagnosis and treatment are one of the key strategies of tuberculosis control globally, and there are strong efforts in detecting and treating tuberculosis cases in Ethiopia. Smear microscopy examination has been a routine diagnostic test for pulmonary tuberculosis diagnosis in resource-constrained settings for decades. Recently, many countries, including Ethiopia, are scaling up the use of Gene Xpert without the evaluation of the cost and cost-effectiveness implications of this strategy. Therefore, this study evaluated the cost and cost-effectiveness of Gene Xpert (MTB/RIF) and smear microscopy tests to diagnosis tuberculosis patients in Ethiopia. Methods We compared the costs and cost-effectiveness of tuberculosis diagnosis using smear microscopy and Gene Xpert among 1332 patients per intervention in the Arsi zone. We applied combinations of top-down and bottom-up costing approaches. The costs were estimated from the health providers’ perspective within one year (2017–2018). We employed “cases detected” as an effectiveness measure, and the incremental cost-effectiveness ratio was calculated by dividing the changes in cost and change in effectiveness. All costs and incremental cost-effectiveness ratio were reported in 2018 US$. Results The unit cost per test for Gene Xpert was $12.9 whereas it is $3.1 for AFB smear microscopy testing. The cost per TB case detected was $77.9 for Gene Xpert while it was $55.8 for the smear microscopy method. The cartridge kit cost accounted for 42% of the overall Gene Xpert’s costs and the cost of the reagents and consumables accounted for 41.3% ($1.3) of the unit cost for the smear microscopy method. The ICER for the Gene Xpert strategy was $20.0 per tuberculosis case detected. Conclusion Using Gene Xpert as a routine test instead of standard care (smear microscopy) can be potentially cost-effective. In the cost scenario analysis, the price of the cartridge, the number of tests performed per day, and the life span of the capital equipment were the drivers of the unit cost of the Gene Xpert method. Therefore, Gene Xpert can be a part of the routine TB diagnostic testing strategy in Ethiopia.
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Affiliation(s)
- Abdene Weya Kaso
- School of Public Health, College of Medicine and Health Science, Dilla University, Dilla, Ethiopia
- * E-mail:
| | - Alemayehu Hailu
- Department of Global Public Health and Primary Care, Bergen Centre for Ethics and Priority Setting, University of Bergen, Bergen, Norway
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Nathavitharana RR, Lederer P, Chaplin M, Bjerrum S, Steingart KR, Shah M. Impact of diagnostic strategies for tuberculosis using lateral flow urine lipoarabinomannan assay in people living with HIV. Cochrane Database Syst Rev 2021; 8:CD014641. [PMID: 34416013 PMCID: PMC8407503 DOI: 10.1002/14651858.cd014641] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
BACKGROUND Tuberculosis is the primary cause of hospital admission in people living with HIV, and the likelihood of death in the hospital is unacceptably high. The Alere Determine TB LAM Ag test (AlereLAM) is a point-of-care test and the only lateral flow lipoarabinomannan assay (LF-LAM) assay currently commercially available and recommended by the World Health Organization (WHO). A 2019 Cochrane Review summarised the diagnostic accuracy of LF-LAM for tuberculosis in people living with HIV. This systematic review assesses the impact of the use of LF-LAM (AlereLAM) on mortality and other patient-important outcomes. OBJECTIVES To assess the impact of the use of LF-LAM (AlereLAM) on mortality in adults living with HIV in inpatient and outpatient settings. To assess the impact of the use of LF-LAM (AlereLAM) on other patient-important outcomes in adults living with HIV, including time to diagnosis of tuberculosis, and time to initiation of tuberculosis treatment. SEARCH METHODS We searched the Cochrane Infectious Diseases Group Specialized Register; the Cochrane Central Register of Controlled Trials (CENTRAL); MEDLINE (PubMed); Embase (Ovid); Science Citation Index Expanded (Web of Science), BIOSIS Previews, Scopus, LILACS; ProQuest Dissertations and Theses; ClinicalTrials.gov; and the WHO ICTRP up to 12 March 2021. SELECTION CRITERIA Randomized controlled trials that compared a diagnostic intervention including LF-LAM with diagnostic strategies that used smear microscopy, mycobacterial culture, a nucleic acid amplification test such as Xpert MTB/RIF, or a combination of these tests. We included adults (≥ 15 years) living with HIV. DATA COLLECTION AND ANALYSIS Two review authors independently assessed trials for eligibility, extracted data, and analysed risk of bias using the Cochrane tool for assessing risk of bias in randomized studies. We contacted study authors for clarification as needed. We used risk ratio (RR) with 95% confidence intervals (CI). We used a fixed-effect model except in the presence of clinical or statistical heterogeneity, in which case we used a random-effects model. We assessed the certainty of the evidence using GRADE. MAIN RESULTS We included three trials, two in inpatient settings and one in outpatient settings. All trials were conducted in sub-Saharan Africa and assessed the impact of diagnostic strategies that included LF-LAM on mortality when the test was used in conjunction with other tuberculosis diagnostic tests or clinical assessment for clinical decision-making in adults living with HIV. Inpatient settings In inpatient settings, the use of LF-LAM testing as part of a tuberculosis diagnostic strategy likely reduces mortality in people living with HIV at eight weeks compared to routine tuberculosis diagnostic testing without LF-LAM (pooled RR 0.85, 95% CI 0.76 to 0.94; 5102 participants, 2 trials; moderate-certainty evidence). That is, people living with HIV who received LF-LAM had 15% lower risk of mortality. The absolute effect was 34 fewer deaths per 1000 (from 14 fewer to 55 fewer). In inpatient settings, the use of LF-LAM testing as part of a tuberculosis diagnostic strategy probably results in a slight increase in the proportion of people living with HIV who were started on tuberculosis treatment compared to routine tuberculosis diagnostic testing without LF-LAM (pooled RR 1.26, 95% CI 0.94 to 1.69; 5102 participants, 2 trials; moderate-certainty evidence). Outpatient settings In outpatient settings, the use of LF-LAM testing as part of a tuberculosis diagnostic strategy may reduce mortality in people living with HIV at six months compared to routine tuberculosis diagnostic testing without LF-LAM (RR 0.89, 95% CI 0.71 to 1.11; 2972 participants, 1 trial; low-certainty evidence). Although this trial did not detect a difference in mortality, the direction of effect was towards a mortality reduction, and the effect size was similar to that in inpatient settings. In outpatient settings, the use of LF-LAM testing as part of a tuberculosis diagnostic strategy may result in a large increase in the proportion of people living with HIV who were started on tuberculosis treatment compared to routine tuberculosis diagnostic testing without LF-LAM (RR 5.44, 95% CI 4.70 to 6.29, 3022 participants, 1 trial; low-certainty evidence). Other patient-important outcomes Assessment of other patient-important and implementation outcomes in the trials varied. The included trials demonstrated that a higher proportion of people living with HIV were able to produce urine compared to sputum for tuberculosis diagnostic testing; a higher proportion of people living with HIV were diagnosed with tuberculosis in the group that received LF-LAM; and the incremental diagnostic yield was higher for LF-LAM than for urine or sputum Xpert MTB/RIF. AUTHORS' CONCLUSIONS In inpatient settings, the use of LF-LAM as part of a tuberculosis diagnostic testing strategy likely reduces mortality and probably results in a slight increase in tuberculosis treatment initiation in people living with HIV. The reduction in mortality may be due to earlier diagnosis, which facilitates prompt treatment initiation. In outpatient settings, the use of LF-LAM testing as part of a tuberculosis diagnostic strategy may reduce mortality and may result in a large increase in tuberculosis treatment initiation in people living with HIV. Our results support the implementation of LF-LAM to be used in conjunction with other WHO-recommended tuberculosis diagnostic tests to assist in the rapid diagnosis of tuberculosis in people living with HIV.
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Affiliation(s)
- Ruvandhi R Nathavitharana
- Division of Infectious Diseases, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA
| | - Philip Lederer
- Section of Infectious Diseases, Boston Medical Center, Boston, Massachusetts, USA
| | - Marty Chaplin
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Stephanie Bjerrum
- Department of Clinical Research, Research Unit of Infectious Diseases, University of Southern Denmark, Odense, Denmark
| | - Karen R Steingart
- Honorary Research Fellow, Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Maunank Shah
- Department of Medicine, Division of Infectious Diseases, John Hopkins University School of Medicine, Baltimore, Maryland, USA
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Foster N, Cunnama L, McCarthy K, Ramma L, Siapka M, Sinanovic E, Churchyard G, Fielding K, Grant AD, Cleary S. Strengthening health systems to improve the value of tuberculosis diagnostics in South Africa: A cost and cost-effectiveness analysis. PLoS One 2021; 16:e0251547. [PMID: 33989317 PMCID: PMC8121360 DOI: 10.1371/journal.pone.0251547] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 04/28/2021] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND In South Africa, replacing smear microscopy with Xpert-MTB/RIF (Xpert) for tuberculosis diagnosis did not reduce mortality and was cost-neutral. The unchanged mortality has been attributed to suboptimal Xpert implementation. We developed a mathematical model to explore how complementary investments may improve cost-effectiveness of the tuberculosis diagnostic algorithm. METHODS Complementary investments in the tuberculosis diagnostic pathway were compared to the status quo. Investment scenarios following an initial Xpert test included actions to reduce pre-treatment loss-to-follow-up; supporting same-day clinical diagnosis of tuberculosis after a negative result; and improving access to further tuberculosis diagnostic tests following a negative result. We estimated costs, deaths and disability-adjusted-life-years (DALYs) averted from provider and societal perspectives. Sensitivity analyses explored the mediating influence of behavioural, disease- and organisational characteristics on investment effectiveness. FINDINGS Among a cohort of symptomatic patients tested for tuberculosis, with an estimated active tuberculosis prevalence of 13%, reducing pre-treatment loss-to-follow-up from ~20% to ~0% led to a 4% (uncertainty interval [UI] 3; 4%) reduction in mortality compared to the Xpert scenario. Improving access to further tuberculosis diagnostic tests from ~4% to 90% among those with an initial negative Xpert result reduced overall mortality by 28% (UI 27; 28) at $39.70/ DALY averted. Effectiveness of investment scenarios to improve access to further diagnostic tests was dependent on a high return rate for follow-up visits. INTERPRETATION Investing in direct and indirect costs to support the TB diagnostic pathway is potentially highly cost-effective.
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Affiliation(s)
- Nicola Foster
- Health Economics Unit, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
- Division of Health Research, Lancaster University, Lancaster, United Kingdom
- TB Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Lucy Cunnama
- Health Economics Unit, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Kerrigan McCarthy
- Division of Public Health, Surveillance and Response, National Institute for Communicable Disease of the National Health Laboratory Service, Johannesburg, South Africa
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Lebogang Ramma
- Department of Health and Rehabilitation Sciences, University of Cape Town, Cape Town, South Africa
| | - Mariana Siapka
- TB Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Edina Sinanovic
- Health Economics Unit, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Gavin Churchyard
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Aurum Institute, Johannesburg, South Africa
| | - Katherine Fielding
- TB Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Alison D. Grant
- TB Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Africa Health Research Institute, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Susan Cleary
- Health Economics Unit, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
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Haraka F, Kakolwa M, Schumacher SG, Nathavitharana RR, Denkinger CM, Gagneux S, Reither K, Ross A. Impact of the diagnostic test Xpert MTB/RIF on patient outcomes for tuberculosis. Cochrane Database Syst Rev 2021; 5:CD012972. [PMID: 34097769 PMCID: PMC8208889 DOI: 10.1002/14651858.cd012972.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: 01/11/2023]
Abstract
BACKGROUND The World Health Organization (WHO) recommends Xpert MTB/RIF in place of smear microscopy to diagnose tuberculosis (TB), and many countries have adopted it into their diagnostic algorithms. However, it is not clear whether the greater accuracy of the test translates into improved health outcomes. OBJECTIVES To assess the impact of Xpert MTB/RIF on patient outcomes in people being investigated for tuberculosis. SEARCH METHODS We searched the following databases, without language restriction, from 2007 to 24 July 2020: Cochrane Infectious Disease Group (CIDG) Specialized Register; CENTRAL; MEDLINE OVID; Embase OVID; CINAHL EBSCO; LILACS BIREME; Science Citation Index Expanded (Web of Science), Social Sciences citation index (Web of Science), and Conference Proceedings Citation Index - Social Science & Humanities (Web of Science). We also searched the WHO International Clinical Trials Registry Platform, ClinicalTrials.gov, and the Pan African Clinical Trials Registry for ongoing trials. SELECTION CRITERIA We included individual- and cluster-randomized trials, and before-after studies, in participants being investigated for tuberculosis. We analysed the randomized and non-randomized studies separately. DATA COLLECTION AND ANALYSIS: For each study, two review authors independently extracted data, using a piloted data extraction tool. We assessed the risk of bias using Cochrane and Effective Practice and Organisation of Care (EPOC) tools. We used random effects meta-analysis to allow for heterogeneity between studies in setting and design. The certainty of the evidence in the randomized trials was assessed by GRADE. MAIN RESULTS We included 12 studies: eight were randomized controlled trials (RCTs), and four were before-and-after studies. Most included RCTs had a low risk of bias in most domains of the Cochrane 'Risk of bias' tool. There was inconclusive evidence of an effect of Xpert MTB/RIF on all-cause mortality, both overall (risk ratio (RR) 0.89, 95% confidence interval (CI) 0.75 to 1.05; 5 RCTs, 9932 participants, moderate-certainty evidence), and restricted to studies with six-month follow-up (RR 0.98, 95% CI 0.78 to 1.22; 3 RCTs, 8143 participants; moderate-certainty evidence). There was probably a reduction in mortality in participants known to be infected with HIV (odds ratio (OR) 0.80, 95% CI 0.67 to 0.96; 5 RCTs, 5855 participants; moderate-certainty evidence). It is uncertain whether Xpert MTB/RIF has no or a modest effect on the proportion of participants starting tuberculosis treatment who had a successful treatment outcome (OR) 1.10, 95% CI 0.96 to 1.26; 3RCTs, 4802 participants; moderate-certainty evidence). There was also inconclusive evidence of an effect on the proportion of participants who were treated for tuberculosis (RR 1.10, 95% CI 0.98 to 1.23; 5 RCTs, 8793 participants; moderate-certainty evidence). The proportion of participants treated for tuberculosis who had bacteriological confirmation was probably higher in the Xpert MTB/RIF group (RR 1.44, 95% CI 1.29 to 1.61; 6 RCTs, 2068 participants; moderate-certainty evidence). The proportion of participants with bacteriological confirmation who were lost to follow-up pre-treatment was probably reduced (RR 0.59, 95% CI 0.41 to 0.85; 3 RCTs, 1217 participants; moderate-certainty evidence). AUTHORS' CONCLUSIONS We were unable to confidently rule in or rule out the effect on all-cause mortality of using Xpert MTB/RIF rather than smear microscopy. Xpert MTB/RIF probably reduces mortality among participants known to be infected with HIV. We are uncertain whether Xpert MTB/RIF has a modest effect or not on the proportion treated or, among those treated, on the proportion with a successful outcome. It probably does not have a substantial effect on these outcomes. Xpert MTB/RIF probably increases both the proportion of treated participants who had bacteriological confirmation, and the proportion with a laboratory-confirmed diagnosis who were treated. These findings may inform decisions about uptake alongside evidence on cost-effectiveness and implementation.
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Affiliation(s)
- Frederick Haraka
- Elizabeth Glaser Pediatric AIDS Foundation, Dar es Salaam, Tanzania
- Ifakara Health Institute, Bagamoyo, Tanzania
- University of Basel, Basel, Switzerland
- Swiss Tropical and Public Health Institute, Basel, Switzerland
| | | | | | - Ruvandhi R Nathavitharana
- Division of Infectious Diseases, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA
| | - Claudia M Denkinger
- FIND, Geneva, Switzerland
- Division of Tropical Medicine, Centre for Infectious Diseases, University Hospital Heidelberg, Heidelberg, Germany
| | - Sebastien Gagneux
- University of Basel, Basel, Switzerland
- Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Klaus Reither
- Ifakara Health Institute, Bagamoyo, Tanzania
- University of Basel, Basel, Switzerland
- Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Amanda Ross
- University of Basel, Basel, Switzerland
- Swiss Tropical and Public Health Institute, Basel, Switzerland
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Kassa GM, Merid MW, Muluneh AG, Wolde HF. Comparing the impact of genotypic based diagnostic algorithm on time to treatment initiation and treatment outcomes among drug-resistant tuberculosis patients in Amhara region, Ethiopia. PLoS One 2021; 16:e0246938. [PMID: 33600409 PMCID: PMC7891731 DOI: 10.1371/journal.pone.0246938] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 01/28/2021] [Indexed: 11/19/2022] Open
Abstract
Background To end Tuberculosis (TB) by 2030, early detection and timely treatment of Drug-Resistant Tuberculosis (DR-TB) is vital. The role of rapid, accurate, and sensitive DR-TB diagnostic tool is indispensable to accelerate the TB control program. There are evidence breaks in the time difference and its effect on treatment outcomes among different DR-TB diagnostic tools in Ethiopia. This article aimed to compare the different DR-TB diagnostic tools with time pointers and evaluate their effect on the treatment outcomes. Method We performed a retrospective chart review of 574 DR-TB patients from September 2010 to December 2017 to compare the impact of molecular DR-TB diagnostic tests (Xpert MTB/RIF, Line Probe Assay (LPA), and solid culture-based Drug Susceptibility Testing (DST)) on time to diagnosis, treatment initiation, and treatment Outcomes. Kruskual-Wallis test was employed to assess the presence of a significant difference in median time among the DR-TB diagnostic tests. Chi-Square and Fisher exact tests were used to test the presence of relations between treatment outcome and diagnostic tests. Result The data of 574 DR-TB patients were included in the analysis. From these, 321, 173, and 80 patients were diagnosed using Xpert MTB/RIF, Line Probe Assay (LPA), and solid culture-based DST, respectively. The median time in a day with (Interquartile range (IQR)) for Xpert MTB/RIF, LPA, and solid culture-based DST was from a first care-seeking visit to diagnosis: 2(0, 9), 4(1, 55), and 70(18, 182), from diagnosis to treatment initiation: 3(1, 8), 33(4, 76), and 44(9, 145), and from a first care-seeking visit to treatment initiation: 4(1, 11), 3(1, 12) and 76(3.75, 191) respectively. The shorter median time was observed in the Xpert MTB/RIF followed by the LPA, and this was statistically significant with a p-value <0.001. There was no statistically significant difference concerning treatment outcomes among the three DST tests. Conclusion Xpert MTB/RIF can mitigate the transmission of DR-TB significantly via quick diagnosis and treatment initiation followed by LPA as equating to the solid culture base DST, particularly in smear-positive patients. However, we didn’t see a statistically significant impact in terms of treatment outcomes. Xpert MTB/RIF can be used as the first test to diagnose DR-TB by further complimenting solid culture base DST to grasp the drug-resistance profile.
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Affiliation(s)
- Getahun Molla Kassa
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mehari Woldemariam Merid
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- * E-mail:
| | - Atalay Goshu Muluneh
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Haileab Fekadu Wolde
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
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25
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Ignatius EH, Cohen KA, Bishai WR. Getting to the point in point-of-care diagnostics for tuberculosis. J Clin Invest 2021; 130:5671-5673. [PMID: 32986020 DOI: 10.1172/jci142497] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Tuberculosis (TB) continues to affect over 10 million people per year worldwide. Despite advances in diagnosis, smear microscopy insufficiently detects pulmonary disease, with test result reporting taking longer than a day. While urine assays to detect the lipopolysaccharide lipoarabinomannan (LAM), present in mycobacterial cell walls, can provide results within minutes, the currently available assay has low sensitivity and its application is limited to patients with HIV suspected of having TB. In this issue of the JCI, Broger and Nicol et al. investigated 3 rapid urine tests in 372 ambulatory HIV-negative individuals suspected of having TB in South Africa and Peru. FujiLAM emerged as a rapid test to confirm TB diagnosis in the HIV-seronegative population. This study shows that FujiLAM has considerable potential to reshape the TB diagnostics landscape, making diagnosis and treatment in one office visit a reality for TB.
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Affiliation(s)
- Elisa H Ignatius
- Division of Infectious Diseases.,Division of Clinical Pharmacology, and
| | - Keira A Cohen
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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26
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Deo S, Jindal P, Papineni S. Integrating Xpert MTB/RIF for TB diagnosis in the private sector: evidence from large-scale pilots in Patna and Mumbai, India. BMC Infect Dis 2021; 21:123. [PMID: 33509114 PMCID: PMC7844908 DOI: 10.1186/s12879-021-05817-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 01/18/2021] [Indexed: 12/30/2022] Open
Abstract
Background Xpert MTB/RIF (Xpert) has been recommended by WHO as the initial diagnostic test for TB and rifampicin-resistance detection. Existing evidence regarding its uptake is limited to public health systems and corresponding resource and infrastructure challenges. It cannot be readily extended to private providers, who treat more than half of India’s TB cases and demonstrate complex diagnostic behavior. Methods We used routine program data collected from November 2014 to April 2017 from large-scale private sector engagement pilots in Mumbai and Patna. It included diagnostic vouchers issued to approximately 150,000 patients by about 1400 providers, aggregated to 18,890 provider-month observations. We constructed three metrics to capture provider behavior with regards to adoption of Xpert and studied their longitudinal variation: (i) Uptake (ordering of test), (ii) Utilization for TB diagnosis, and (iii) Non-adherence to negative results. We estimated multivariate linear regression models to assess heterogeneity in provider behavior based on providers’ prior experience and Xpert testing volumes. Results Uptake of Xpert increased considerably in both Mumbai (from 36 to 60.4%) and Patna (from 12.2 to 45.1%). However, utilization of Xpert for TB diagnosis and non-adherence to negative Xpert results did not show systematic trends over time. In regression models, cumulative number of Xpert tests ordered was significantly associated with Xpert uptake in Patna and utilization for diagnosis in Mumbai (p-value< 0.01). Uptake of Xpert and its utilization for diagnosis was predicted to be higher in high-volume providers compared to low-volume providers and this gap was predicted to widen over time. Conclusions Private sector engagement led to substantial increase in uptake of Xpert, especially among high-volume providers, but did not show strong evidence of Xpert results being integrated with TB diagnosis. Increasing availability and affordability of a technically superior diagnostic tool may not be sufficient to fundamentally change diagnosis and treatment of TB in the private sector. Behavioral interventions, specifically aimed at, integrating Xpert results into clinical decision making of private providers may be required to impact patient-level outcomes. Supplementary Information The online version contains supplementary material available at 10.1186/s12879-021-05817-1.
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Affiliation(s)
- Sarang Deo
- Indian School of Business, AC 3, L1, #3113, ISB Campus, Gachibowli, Hyderabad, 500032, India.
| | - Pankaj Jindal
- Indian School of Business, AC 3, L1, #3113, ISB Campus, Gachibowli, Hyderabad, 500032, India.,UCLA Anderson School of Management, Los Angeles, United States
| | - Sirisha Papineni
- Harvard Medical School, Boston, United States.,World Health Partners, New Delhi, India
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Deo S, Jindal P, Sabharwal M, Parulkar A, Singh R, Kadam R, Dabas H, Dewan P. Field sales force model to increase adoption of a novel tuberculosis diagnostic test among private providers: evidence from India. BMJ Glob Health 2020; 5:bmjgh-2020-003600. [PMID: 33376100 PMCID: PMC7778745 DOI: 10.1136/bmjgh-2020-003600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Revised: 11/30/2020] [Accepted: 12/03/2020] [Indexed: 11/16/2022] Open
Abstract
Background Impact of novel high-quality tuberculosis (TB) tests such as Xpert MTB/RIF has been limited due to low uptake among private providers in high-burden countries including India. Our objective was to assess the impact of a demand generation intervention comprising field sales force on the uptake of high-quality TB tests by providers and its financial sustainability for private labs in the long run. Methods We implemented a demand generation intervention across five Indian cities between October 2014 and June 2016 and compared the change in the quantity of Xpert cartridges ordered by labs in these cities from before (February 2013–September 2014) to after intervention (October 2014–December 2015) to corresponding change in labs in comparable non-intervention cities. We embedded this difference-in-differences estimate within a financial model to calculate the internal rate of return (IRR) if the labs were to invest in an Xpert machine with or without the demand generation intervention. Results The intervention resulted in an estimated 60 additional Xpert cartridges ordered per lab-month in the intervention group, which yielded an estimated increase of 11 500 tests over the post-intervention period, at an additional cost of US$13.3–US$17.63 per test. Further, we found that investing in this intervention would increase the IRR from 4.8% to 5.5% for hospital labs but yield a negative IRR for standalone labs. Conclusions Field sales force model can generate additional demand for Xpert at private labs, but additional strategies may be needed to ensure its financial sustainability.
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Affiliation(s)
- Sarang Deo
- Max Institute of Healthcare Management, Indian School of Business, Mohali, Punjab, India .,Operations Management, Indian School of Business, Hyderabad, Telangana, India
| | - Pankaj Jindal
- Operations Management, Indian School of Business, Hyderabad, Telangana, India
| | | | | | - Ritu Singh
- Clinton Health Access Initiative, New Delhi, India
| | | | | | - Puneet Dewan
- Bill and Melinda Gates Foundation, New Delhi, India
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28
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Ochodo EA, Kalema N, Schumacher S, Steingart K, Young T, Mallett S, Deeks J, Cobelens F, Bossuyt PM, Nicol MP, Cattamanchi A. Variation in the observed effect of Xpert MTB/RIF testing for tuberculosis on mortality: A systematic review and analysis of trial design considerations. Wellcome Open Res 2020; 4:173. [PMID: 32851196 PMCID: PMC7438967 DOI: 10.12688/wellcomeopenres.15412.2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/06/2020] [Indexed: 12/21/2022] Open
Abstract
Background: Most studies evaluating the effect of Xpert MTB/RIF testing for tuberculosis (TB) concluded that it did not reduce overall mortality compared to usual care. We conducted a systematic review to assess whether key study design and execution features contributed to earlier identification of patients with TB and decreased pre-treatment loss to follow-up, thereby reducing the potential impact of Xpert MTB/RIF testing. Methods: We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, and Scopus for literature published from 1 st January 2009 to February 2019. We included all primary intervention studies that had evaluated the effect of Xpert MTB/RIF on mortality compared to usual care in participants with presumptive pulmonary TB. We critically reviewed features of included studies across: Study setting and context, Study population, Participant recruitment and enrolment, Study procedures, and Study follow-up. Results: We included seven randomised and one non-randomised study. All included studies demonstrated relative reductions in overall mortality in the Xpert MTB/RIF arm ranging from 6% to 40%. However, mortality reduction was reported to be statistically significant in two studies. Study features that could explain the lack of observed effect on mortality included: the higher quality of care at study sites; inclusion of patients with a higher pre-test probability of TB leading to higher than expected empirical rates; performance of additional diagnostic testing not done in usual care leading to increased TB diagnosis or empiric treatment initiation; the recruitment of participants likely to return for follow-up; and involvement of study staff in ensuring adherence with care and follow-up. Conclusion: Most studies of Xpert MTB/RIF were designed and conducted in a manner that resulted in more patients being diagnosed and treated for TB, minimising the potential difference in mortality Xpert MTB/RIF testing could have achieved compared to usual care.
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Affiliation(s)
- Eleanor A. Ochodo
- Department of Global Health, Stellenbosch University, Cape Town, Western Cape, 8000, South Africa
| | - Nelson Kalema
- Infectious Diseases Institute, Makerere University, Kampala, 22418, Uganda
| | - Samuel Schumacher
- Tuberculosis Department, Foundation for Innovative New Diagnostics, Geneva, 1202, Switzerland
| | - Karen Steingart
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, L3 5QA, UK
| | - Taryn Young
- Department of Global Health, Stellenbosch University, Cape Town, Western Cape, 8000, South Africa
| | - Susan Mallett
- NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Trust, University of Birmingham, Edgbaston, Birmingham, UK
- Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, UK
| | - Jon Deeks
- NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Trust, University of Birmingham, Edgbaston, Birmingham, UK
- Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, UK
| | - Frank Cobelens
- Amsterdam Institute for Global Health and Development, Amsterdam University Medical Centers, Amsterdam, 1105 BP, The Netherlands
| | - Patrick M. Bossuyt
- Deapartment of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam University Medical Centers, Amsterdam, 1105 AZ, The Netherlands
| | - Mark P. Nicol
- School of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Western Australia, Perth, WA, 6009, Australia
| | - Adithya Cattamanchi
- Division of Pulmonary and Critical Care Medicine, University of California San Francisco Medical Center, San Francisco, California, 94110, USA
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Kebede W, Abebe G, Gudina EK, De Vos E, Riviere E, Van Rie A. Role of empiric treatment in hospitalized patients with Xpert MTB/RIF-negative presumptive pulmonary tuberculosis: A prospective cohort study. Int J Infect Dis 2020; 97:30-37. [PMID: 32526390 DOI: 10.1016/j.ijid.2020.06.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 06/04/2020] [Accepted: 06/04/2020] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVES The ability of clinical algorithms to identify tuberculosis disease and the impact of empiric treatment on survival in people with a negative Xpert MTB/RIF (Xpert) result remains poorly documented. METHODS Hospitalized Xpert-negative patients (125 initiated on empiric tuberculosis treatment based on a clinical algorithm and 125 in whom tuberculosis treatment was not started) were enrolled. Sputum samples were evaluated for Mycobacterium tuberculosis by culture. All study participants were followed up for 6 months. RESULTS Xpert-negative inpatients in whom empiric tuberculosis treatment was initiated were more likely to have microbiological confirmed tuberculosis compared to those in whom empiric tuberculosis treatment was not started (24.8% vs 6.4%, p=0.0001). Six-month risk of death was 5.2%, but the risk was twice as high in people with bacteriological confirmation of TB (10.3% vs 4.3%, p=0.12). Cardinal symptoms of TB were associated with bacteriological confirmation and a decision to start empiric treatment. The positive predictive value of the clinical algorithm was 24.8% and empiric treatment did not affect 6-month risk of death (5.6% vs 4.8%, p=0.78). CONCLUSIONS Clinical algorithm identifies the majority of confirmed tuberculosis cases among Xpert-negative inpatients. Empiric treatment did not impact survival and resulted in substantial overtreatment. The more sensitive Xpert Ultra assay should be used to eliminate the need for empiric tuberculosis treatment.
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Affiliation(s)
- Wakjira Kebede
- Mycobacteriology Research Center, Jimma University, Ethiopia; School of Medical Laboratory Science, Institute of Health, Jimma University, PO Box 378, Ethiopia; Department of Epidemiology and Social Medicine, Faculty of Medicine and Health sciences, University of Antwerp, Antwerp, Belgium.
| | - Gemeda Abebe
- Mycobacteriology Research Center, Jimma University, Ethiopia; School of Medical Laboratory Science, Institute of Health, Jimma University, PO Box 378, Ethiopia.
| | - Esayas Kebede Gudina
- Department of Internal Medicine, Jimma University Medical Center, Jimma University, Ethiopia.
| | - Elise De Vos
- Department of Epidemiology and Social Medicine, Faculty of Medicine and Health sciences, University of Antwerp, Antwerp, Belgium.
| | - Emmanuel Riviere
- Department of Epidemiology and Social Medicine, Faculty of Medicine and Health sciences, University of Antwerp, Antwerp, Belgium.
| | - Annelies Van Rie
- Department of Epidemiology and Social Medicine, Faculty of Medicine and Health sciences, University of Antwerp, Antwerp, Belgium.
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R NV, G H T, R DV, M H, H H, N S. Lateral Flow Genochromatographic Strip for Naked-Eye Detection of Mycobacterium Tuberculosis PCR Products with Gold Nanoparticles as a Reporter. J Biomed Phys Eng 2020; 10:307-318. [PMID: 32637375 PMCID: PMC7321395 DOI: 10.31661/jbpe.v0i0.1912-1018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 01/14/2020] [Indexed: 11/16/2022]
Abstract
Background Mycobacterium tuberculosis (MTB) is a pathogen causing tuberculosis (TB) in human, and TB can cause enormous social and economic disruptions. Lateral flow test strips (LFTSs) are inexpensive, portable, disposable, rapid, and easy-to-use analytical tools. Objective LFTSs were prepared for the detection of MTB. LFTSs were fabricated using a new specific probe for MTB H37Rv, based on IS6110 sequence gene, and tailed with poly deoxyadenine (dA). Material and Methods In this experimental study, to create test and control zones, streptavidin (STP) and a 150-mer dA were dotted on a nitrocellolose membrane. Gold nanoparticles (GNPs) were conjugated with poly deoxythymidine sequence and placed on the conjugate pad. The composition of immersion buffers for sample pad and conjugate pad, running solution, solutions of GNPs-S-dT150 and STP were introduced. DNA genome of MTB and Mycobacterium bovis in clinical samples was amplified with PCR, and then detected by the LFTSs. During the assay, samples were firstly hybridized in two steps and then placed on a conjugate pad in a manner that positive and negative samples provided two and one red lines, respectively, on the detection pad. Results After PCR reaction with biotinylated primer, hybridization process with specific MTB probe-dA70-100 toke 10 min, and running process on the strip was performed within 5 min. Conclusion We showed that LFTS can discriminate a particular bacteria strain from others. The LFTSs can be redesigned for detection of other pathogenic genomes.
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Affiliation(s)
- Nazari-Vanani R
- MSc, Nanomedicine and Nanobiology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Tondro G H
- MSc, Nanomedicine and Nanobiology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Dehdari Vais R
- MSc, Nanomedicine and Nanobiology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Haghkhah M
- PhD, School of Veterinary Medicine, Shiraz University, Shiraz, Iran
| | - Heli H
- PhD, Nanomedicine and Nanobiology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Sattarahmady N
- PhD, Nanomedicine and Nanobiology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
- PhD, Department of Medical Physics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
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31
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Pooran A, Theron G, Zijenah L, Chanda D, Clowes P, Mwenge L, Mutenherwa F, Lecesse P, Metcalfe J, Sohn H, Hoelscher M, Pym A, Peter J, Dowdy D, Dheda K. Point of care Xpert MTB/RIF versus smear microscopy for tuberculosis diagnosis in southern African primary care clinics: a multicentre economic evaluation. LANCET GLOBAL HEALTH 2020; 7:e798-e807. [PMID: 31097281 DOI: 10.1016/s2214-109x(19)30164-0] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Revised: 12/28/2018] [Accepted: 02/28/2019] [Indexed: 12/26/2022]
Abstract
BACKGROUND Rapid on-site diagnosis facilitates tuberculosis control. Performing Xpert MTB/RIF (Xpert) at point of care is feasible, even when performed by minimally trained health-care workers, and when compared with point-of-care smear microscopy, reduces time to diagnosis and pretreatment loss to follow-up. However, whether Xpert is cost-effective at point of care remains unclear. METHODS We empirically collected cost (US$, 2014) and clinical outcome data from participants presenting to primary health-care facilities in four African countries (South Africa, Zambia, Zimbabwe, and Tanzania) during the TB-NEAT trial. Costs were determined using an bottom-up ingredients approach. Effectiveness measures from the trial included number of cases diagnosed, initiated on treatment, and completing treatment. The primary outcome was the incremental cost-effectiveness of point-of-care Xpert relative to smear microscopy. The study was performed from the perspective of the health-care provider. FINDINGS Using data from 1502 patients, we calculated that the mean Xpert unit cost was lower when performed at a centralised laboratory (Lab Xpert) rather than at point of care ($23·00 [95% CI 22·12-23·88] vs $28·03 [26·19-29·87]). Per 1000 patients screened, and relative to smear microscopy, point-of-care Xpert cost an additional $35 529 (27 054-40 025) and was associated with an additional 24·3 treatment initiations ([-20·0 to 68·5]; $1464 per treatment), 63·4 same-day treatment initiations ([27·3-99·4]; $511 per same-day treatment), and 29·4 treatment completions ([-6·9 to 65·6]; $1211 per completion). Xpert costs were most sensitive to test volume, whereas incremental outcomes were most sensitive to the number of patients initiating and completing treatment. The probability of point-of-care Xpert being cost-effective was 90% at a willingness to pay of $3820 per treatment completion. INTERPRETATION In southern Africa, although point-of-care Xpert unit cost is higher than Lab Xpert, it is likely to offer good value for money relative to smear microscopy. With the current availability of point-of-care nucleic acid amplification platforms (eg, Xpert Edge), these data inform much needed investment and resource allocation strategies in tuberculosis endemic settings. FUNDING European Union European and Developing Countries Clinical Trials Partnership.
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Affiliation(s)
- Anil Pooran
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine and University of Cape Town (UCT) Lung Institute and South African MRC/UCT Centre for the Study of Antimicrobial Resistance, UCT, Cape Town, South Africa
| | - Grant Theron
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine and University of Cape Town (UCT) Lung Institute and South African MRC/UCT Centre for the Study of Antimicrobial Resistance, UCT, Cape Town, South Africa; Department of Science and Technology-National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, and South Africa Medical Research Council Centre for Tuberculosis Research, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Lynn Zijenah
- Department of Immunology, University of Zimbabwe College of Health Sciences, Harare, Zimbabwe
| | | | - Petra Clowes
- National Institute of Medical Research, Mbeya Medical Research Centre, Mbeya, Tanzania; Division of Infectious Diseases and Tropical Medicine, Medical Centre of the University of Munich, Munich, Germany
| | | | | | - Paul Lecesse
- Denver Health Residency in Emergency Medicine, Denver Health Medical Center, Denver, CO, USA
| | - John Metcalfe
- Division of Pulmonary and Critical Care Medicine, University of California San Francisco School of Medicine, San Francisco, CA, USA
| | - Hojoon Sohn
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Michael Hoelscher
- Division of Infectious Diseases and Tropical Medicine, Medical Centre of the University of Munich, Munich, Germany; German Centre for Infection Research, Munich, Germany
| | - Alex Pym
- South African Medical Research Council, Africa Health Research Institute, and Durban, South Africa
| | - Jonny Peter
- Department of Medicine, UCT, Cape Town, South Africa
| | - David Dowdy
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Keertan Dheda
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine and University of Cape Town (UCT) Lung Institute and South African MRC/UCT Centre for the Study of Antimicrobial Resistance, UCT, Cape Town, South Africa; Faculty of Infectious and Tropical Diseases, Department of Immunology and Infection, London School of Hygiene & Tropical Medicine, London, UK.
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Mwansa-Kambafwile JRM, Jewett S, Chasela C, Ismail N, Menezes C. Initial loss to follow up of tuberculosis patients in South Africa: perspectives of program managers. BMC Public Health 2020; 20:622. [PMID: 32375743 PMCID: PMC7201771 DOI: 10.1186/s12889-020-08739-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2019] [Accepted: 04/20/2020] [Indexed: 11/25/2022] Open
Abstract
Background Tuberculosis (TB) remains a serious public health problem in South Africa. Initial loss to follow up (LTFU) rates among TB patients are high, varying between 14.9 and 22.5%. From the perspective of patients, documented reasons for this include poor communication between patient and staff after testing, not being aware that results are ready and other competing priorities such as preference to go to work as opposed to seeking healthcare. Ward-based Outreach Teams (WBOTs) routinely conduct home visits to ensure adherence to medication for various conditions including TB. We explored reasons for TB initial loss to follow up from the perspectives of TB program managers and WBOT program managers, with a focus on the WBOT’s (potential) role in reducing initial LTFU, in particular. Methods Key informant interviews with five WBOT program managers and four TB program managers were conducted. The interviews were audio-recorded, then transcribed and exported to NVivo 11 software for coding. A hybrid analytic approach consisting of both inductive and deductive coding was used to identify themes. Results The age of the nine managers ranged between 28 and 52 years old, of which two were male. They had been in their current position for between 2 to 12 years. Prior to treatment initiation, WBOTs screen household members for TB and refer them for TB testing if need be, but integration of the two programs is emphasized only after TB treatment has been initiated. Counseling of patients testing for TB is not guaranteed due to frequent staff rotations and staff shortages. Participants reported that possible dissatisfaction with services as well as stigma associated with the TB diagnosis could explain loss to follow up prior to treatment initiation. Conclusion Program managers view health system related factors such as staff rotations, poor communication with patients and lack of counseling as contributing to the problem of initial LTFU among TB patients. The integration of the WBOT and TB programs is limited to referring suspected cases for testing and patients already on treatment.
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Affiliation(s)
- Judith R M Mwansa-Kambafwile
- Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. .,Centre for Tuberculosis, National Institute of Communicable Diseases, Johannesburg, South Africa. .,Fellow of the Consortium for Advanced Research Training in Africa (CARTA), Johannesburg, South Africa.
| | - Sara Jewett
- Fellow of the Consortium for Advanced Research Training in Africa (CARTA), Johannesburg, South Africa.,Division of Health and Society, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Charles Chasela
- Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Right to Care, Johannesburg, South Africa
| | - Nazir Ismail
- Centre for Tuberculosis, National Institute of Communicable Diseases, Johannesburg, South Africa.,Department of Microbiology, University of Pretoria, Pretoria, South Africa.,Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - Colin Menezes
- Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.,Department of Internal Medicine, Chris Hani Baragwanath Academic Hospital, Johannesburg, South Africa
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Subbaraman R, Jhaveri T, Nathavitharana RR. Closing gaps in the tuberculosis care cascade: an action-oriented research agenda. J Clin Tuberc Other Mycobact Dis 2020; 19:100144. [PMID: 32072022 PMCID: PMC7015982 DOI: 10.1016/j.jctube.2020.100144] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
The care cascade-which evaluates outcomes across stages of patient engagement in a health system-is an important framework for assessing quality of tuberculosis (TB) care. In recent years, there has been progress in measuring care cascades in high TB burden countries; however, there are still shortcomings in our knowledge of how to reduce poor patient outcomes. In this paper, we outline a research agenda for understanding why patients fall through the cracks in the care cascade. The pathway for evidence generation will require new systematic reviews, observational cohort studies, intervention development and testing, and continuous quality improvement initiatives embedded within national TB programs. Certain gaps, such as pretreatment loss to follow-up and post-treatment disease recurrence, should be a priority given a relative paucity of high-quality research to understand and address poor outcomes. Research on interventions to reduce death and loss to follow-up during treatment should move beyond a focus on monitoring (or observation) strategies, to address patient needs including psychosocial and nutritional support. While key research questions vary for each gap, some patient populations may experience disparities across multiple stages of care and should be a priority for research, including men, individuals with a prior treatment history, and individuals with drug-resistant TB. Closing gaps in the care cascade will require investments in a bold and innovative action-oriented research agenda.
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Affiliation(s)
- Ramnath Subbaraman
- Department of Public Health and Community Medicine and Center for Global Public Health, Tufts University School of Medicine, Boston, USA
- Division of Geographic Medicine and Infectious Diseases, Tufts Medical Center, Boston, USA
| | - Tulip Jhaveri
- Division of Geographic Medicine and Infectious Diseases, Tufts Medical Center, Boston, USA
| | - Ruvandhi R. Nathavitharana
- Division of Infectious Diseases, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, USA
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Reza TF, Nalugwa T, Farr K, Nantale M, Oyuku D, Nakaweesa A, Musinguzi J, Vangala M, Shete PB, Tucker A, Ferguson O, Fielding K, Sohn H, Dowdy D, Moore DAJ, Davis JL, Ackerman SL, Handley MA, Katamba A, Cattamanchi A. Study protocol: a cluster randomized trial to evaluate the effectiveness and implementation of onsite GeneXpert testing at community health centers in Uganda (XPEL-TB). Implement Sci 2020; 15:24. [PMID: 32316993 PMCID: PMC7171793 DOI: 10.1186/s13012-020-00988-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 04/03/2020] [Indexed: 03/26/2024] Open
Abstract
BACKGROUND Delays in diagnosis and treatment of tuberculosis (TB) remain common in high-burden countries. To improve case detection, substantial investments have been made to scale-up Xpert MTB/RIF (Xpert), a cartridge-based nucleic acid amplification test that can detect TB within 2 hours, as a replacement for sputum smear microscopy. However, the optimal strategy for implementation of Xpert testing remains unclear. METHODS The Xpert Performance Evaluation for Linkage to Tuberculosis Care (XPEL-TB) trial uses an ultra-pragmatic, hybrid type II effectiveness-implementation design to assess the effectiveness and implementation of a streamlined strategy for delivery of Xpert testing in real-world settings. Twenty health centers with TB microscopy units were selected to participate in the trial, with ten health centers randomized to the intervention strategy (onsite molecular testing using GeneXpert Edge, process redesign to facilitate same-day TB diagnosis and treatment, and performance feedback) or routine care (onsite sputum smear microscopy plus referral of sputum samples to Xpert testing sites). The primary outcome is the number of patients with microbiologically confirmed TB who were initiated on treatment within 14 days of presentation to the health center, which reflects successful completion of the TB diagnostic evaluation process. Secondary outcomes include health outcomes (6-month vital status), as well as measures of the reach, adoption, and implementation of the intervention strategy. DISCUSSION The design elements and implementation approach for the XPEL-TB trial were intentionally selected to minimize disruptions to routine care procedures, with the goal of limiting their influence on key primary and secondary outcomes. Trial findings may result in increased support and funding for rapid, onsite molecular testing as the standard-of-care for all patients being evaluated for TB. TRIAL REGISTRATION US National Institutes of Health's ClinicalTrials.gov, NCT03044158. Registered 06 February 2017. Pan African Clinical Trials Registry, PACTR201610001763265. Registered 03 September 2016.
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Affiliation(s)
- Tania F Reza
- Division of Pulmonary and Critical Care Medicine, Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, CA, USA
- Center for Tuberculosis, University of California San Francisco, San Francisco, CA, USA
| | - Talemwa Nalugwa
- Uganda Tuberculosis Implementation Research Consortium (U-TIRC), Kampala, Uganda
| | - Katherine Farr
- Implementation Science Program, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Mariam Nantale
- Uganda Tuberculosis Implementation Research Consortium (U-TIRC), Kampala, Uganda
| | - Denis Oyuku
- Uganda Tuberculosis Implementation Research Consortium (U-TIRC), Kampala, Uganda
| | - Annet Nakaweesa
- Uganda Tuberculosis Implementation Research Consortium (U-TIRC), Kampala, Uganda
| | - Johnson Musinguzi
- Uganda Tuberculosis Implementation Research Consortium (U-TIRC), Kampala, Uganda
| | - Moksha Vangala
- Division of Pulmonary and Critical Care Medicine, Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, CA, USA
- Center for Tuberculosis, University of California San Francisco, San Francisco, CA, USA
| | - Priya B Shete
- Division of Pulmonary and Critical Care Medicine, Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, CA, USA
- Center for Tuberculosis, University of California San Francisco, San Francisco, CA, USA
- Uganda Tuberculosis Implementation Research Consortium (U-TIRC), Kampala, Uganda
| | - Austin Tucker
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Olivia Ferguson
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Katherine Fielding
- Faculty of Epidemiology and Population Health and TB Centre, London School of Hygiene and Tropical Medicine, London, UK
| | - Hojoon Sohn
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - David Dowdy
- Uganda Tuberculosis Implementation Research Consortium (U-TIRC), Kampala, Uganda
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - David A J Moore
- Faculty of Infectious and Tropical Diseases and TB Centre, London School of Hygiene and Tropical Medicine, London, UK
| | - J Lucian Davis
- Uganda Tuberculosis Implementation Research Consortium (U-TIRC), Kampala, Uganda
- Department of Epidemiology of Microbial Diseases and Center for Methods in Implementation and Prevention Sciences, Yale School of Public Health, New Haven, CT, USA
- Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Sara L Ackerman
- Department of Social and Behavioral Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Margaret A Handley
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Achilles Katamba
- Uganda Tuberculosis Implementation Research Consortium (U-TIRC), Kampala, Uganda
- School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | - Adithya Cattamanchi
- Division of Pulmonary and Critical Care Medicine, Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, CA, USA.
- Center for Tuberculosis, University of California San Francisco, San Francisco, CA, USA.
- Uganda Tuberculosis Implementation Research Consortium (U-TIRC), Kampala, Uganda.
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Boulanger RF, Komparic A, Dawson A, Upshur REG, Silva DS. Developing and Implementing new TB Technologies: Key Informants' Perspectives on the Ethical Challenges. JOURNAL OF BIOETHICAL INQUIRY 2020; 17:65-73. [PMID: 31858386 DOI: 10.1007/s11673-019-09954-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Accepted: 11/27/2019] [Indexed: 06/10/2023]
Abstract
OBJECTIVE To identify the ethical challenges associated with the development and implementation of new tuberculosis (TB) drugs and diagnostics. METHODS Twenty-three semi-structured qualitative interviews conducted between December 2015 and September 2016 with programme administrators, healthcare workers, advocates, policymakers, and funders based in the Americas, Europe, and Africa. Interviews were analysed using thematic analysis. RESULTS Divergent interests and responsibilities, coupled with power imbalances, are a primary source of ethical challenges; the uncertain risk profiles of new drugs present an additional one. Although this challenge can be partially mitigated through stringent pharmacovigilance, respondents highlighted that high-burden countries tend to lack the resources to facilitate safe implementation. Increased advocacy and community engagement are considered an ethical imperative for future TB development and implementation. CONCLUSIONS This project helps identify some of the ethical challenges of new TB technologies. It demonstrates that investigating ethical challenges through qualitative research is one way to apprehend the difficulty of implementing new TB technologies. Addressing this difficulty will require that those in positions of power reconsider their interests in relation to disempowered communities. POLICY IMPLICATIONS Efforts to build consensus regarding what values should underpin the global governance of TB research, prevention, and care are essential to facilitate the ethical implementation of new TB technologies.
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Affiliation(s)
- Renaud F Boulanger
- Centre for Applied Ethics, McGill University Health Centre, 2155 Guy Street, 2nd floor, Montreal, Quebec, H3H 2R9, Canada
| | - Ana Komparic
- Leslie Dan Faculty of Pharmacy & Joint Centre for Bioethics, University of Toronto, 144 College Street, Toronto, Ontario, M5S 3M2, Canada
| | - Angus Dawson
- Sydney Health Ethics & Marie Bashir Institute for Infectious Diseases and Biosecurity, Level 1, Medical Foundation Building, The University of Sydney, Sydney, NSW, 2006, Australia
| | - Ross E G Upshur
- Dalla Lana School of Public Health & Joint Centre for Bioethics, University of Toronto, 155 College Street, Toronto, ON, M5T 1P8, Canada
| | - Diego S Silva
- Sydney Health Ethics & Marie Bashir Institute for Infectious Diseases and Biosecurity, Level 1, Medical Foundation Building, The University of Sydney, Sydney, NSW, 2006, Australia.
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36
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Bonnet M. Xpert MTB/RIF Ultra: what is the real impact? THE LANCET RESPIRATORY MEDICINE 2020; 8:325-326. [PMID: 32066537 DOI: 10.1016/s2213-2600(20)30050-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 11/15/2019] [Indexed: 10/25/2022]
Affiliation(s)
- Maryline Bonnet
- D UMI233, INSERM U1175, University Montpellier, Montpellier 34000, France.
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37
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Auld AF, Agizew T, Mathoma A, Boyd R, Date A, Pals SL, Serumola C, Mathebula U, Alexander H, Ellerbrock TV, Rankgoane-Pono G, Pono P, Shepherd JC, Fielding K, Grant AD, Finlay A. Effect of tuberculosis screening and retention interventions on early antiretroviral therapy mortality in Botswana: a stepped-wedge cluster randomized trial. BMC Med 2020; 18:19. [PMID: 32041583 PMCID: PMC7011529 DOI: 10.1186/s12916-019-1489-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2019] [Accepted: 12/24/2019] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Undiagnosed tuberculosis (TB) remains the most common cause of HIV-related mortality. Xpert MTB/RIF (Xpert) is being rolled out globally to improve TB diagnostic capacity. However, previous Xpert impact trials have reported that health system weaknesses blunted impact of this improved diagnostic tool. During phased Xpert rollout in Botswana, we evaluated the impact of a package of interventions comprising (1) additional support for intensified TB case finding (ICF), (2) active tracing for patients missing clinic appointments to support retention, and (3) Xpert replacing sputum-smear microscopy, on early (6-month) antiretroviral therapy (ART) mortality. METHODS At 22 clinics, ART enrollees > 12 years old were eligible for inclusion in three phases: a retrospective standard of care (SOC), prospective enhanced care (EC), and prospective EC plus Xpert (EC+X) phase. EC and EC+X phases were implemented as a stepped-wedge trial. Participants in the EC phase received SOC plus components 1 (strengthened ICF) and 2 (active tracing) of the intervention package, and participants in the EC+X phase received SOC plus all three intervention package components. Primary and secondary objectives were to compare all-cause 6-month ART mortality between SOC and EC+X and between EC and EC+X phases, respectively. We used adjusted analyses, appropriate for study design, to control for baseline differences in individual-level factors and intra-facility correlation. RESULTS We enrolled 14,963 eligible patients: 8980 in SOC, 1768 in EC, and 4215 in EC+X phases. Median age of ART enrollees was 35 and 64% were female. Median CD4 cell count was lower in SOC than subsequent phases (184/μL in SOC, 246/μL in EC, and 241/μL in EC+X). By 6 months of ART, 461 (5.3%) of SOC, 54 (3.2%) of EC, and 121 (3.0%) of EC+X enrollees had died. Compared with SOC, 6-month mortality was lower in the EC+X phase (adjusted hazard ratio, 0.77; 95% confidence interval, 0.61-0.97, p = 0.029). Compared with EC enrollees, 6-month mortality was similar among EC+X enrollees. CONCLUSIONS Interventions to strengthen ICF and retention were associated with lower early ART mortality. This new evidence highlights the need to strengthen ICF and retention in many similar settings. Similar to other trials, no additional mortality benefit of replacing sputum-smear microscopy with Xpert was observed. TRIAL REGISTRATION Retrospectively registered: ClinicalTrials.gov (NCT02538952).
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Affiliation(s)
- Andrew F Auld
- Division of Global HIV & TB, Centers for Disease Control and Prevention, Atlanta, USA. .,Center for Global Health, U.S. Centers for Disease Control and Prevention (CDC), Lilongwe, Malawi.
| | - Tefera Agizew
- Division of TB Elimination, Centers for Disease Control and Prevention, Gaborone, Botswana
| | - Anikie Mathoma
- Division of TB Elimination, Centers for Disease Control and Prevention, Gaborone, Botswana
| | - Rosanna Boyd
- Division of TB Elimination, Centers for Disease Control and Prevention, Gaborone, Botswana
| | - Anand Date
- Division of Global HIV & TB, Centers for Disease Control and Prevention, Atlanta, USA
| | - Sherri L Pals
- Division of Global HIV & TB, Centers for Disease Control and Prevention, Atlanta, USA
| | - Christopher Serumola
- Division of TB Elimination, Centers for Disease Control and Prevention, Gaborone, Botswana
| | - Unami Mathebula
- Division of TB Elimination, Centers for Disease Control and Prevention, Gaborone, Botswana
| | - Heather Alexander
- Division of Global HIV & TB, Centers for Disease Control and Prevention, Atlanta, USA
| | - Tedd V Ellerbrock
- Division of Global HIV & TB, Centers for Disease Control and Prevention, Atlanta, USA
| | | | | | - James C Shepherd
- Division of TB Elimination, Centers for Disease Control and Prevention, Gaborone, Botswana.,Yale University School of Medicine, New Haven, CT, USA
| | - Katherine Fielding
- TB Centre, London Sch. of Hygiene & Tropical Med, London, UK.,School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
| | - Alison D Grant
- TB Centre, London Sch. of Hygiene & Tropical Med, London, UK.,School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.,Africa Health Research Institute, School of Nursing and Public Heath, University of KwaZulu-Natal, Durban, South Africa
| | - Alyssa Finlay
- Division of TB Elimination, Centers for Disease Control and Prevention, Gaborone, Botswana
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Grant AD, Charalambous S, Tlali M, Karat AS, Dorman SE, Hoffmann CJ, Johnson S, Vassall A, Churchyard GJ, Fielding KL. Algorithm-guided empirical tuberculosis treatment for people with advanced HIV (TB Fast Track): an open-label, cluster-randomised trial. Lancet HIV 2020; 7:e27-e37. [PMID: 31727580 DOI: 10.1016/s2352-3018(19)30266-8] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2019] [Revised: 07/16/2019] [Accepted: 07/30/2019] [Indexed: 02/02/2023]
Abstract
BACKGROUND Tuberculosis, which is often undiagnosed, is the major cause of death among HIV-positive people. We aimed to test whether the use of a clinical algorithm enabling the initiation of empirical tuberculosis treatment by nurses in primary health-care clinics would reduce mortality compared with standard of care for adults with advanced HIV disease. METHODS In this open-label cluster-randomised controlled trial, we recruited individuals from 24 primary health-care clinics in South Africa. The clinics were randomly assigned (1:1) to either deliver an intervention or routine care (control) using computer-generated random numbers. Eligible participants were HIV-positive adults (aged ≥18 years) with CD4 counts of 150 cells per μL or less, who had not had antiretroviral therapy (ART) in the past 6 months or tuberculosis treatment in the past 3 months, and did not require urgent hospital referral. In intervention clinics, study nurses assessed participants on the basis of tuberculosis symptoms, body-mass index, point-of-care haemoglobin concentrations, and urine lipoarabinomannan assay results. Participants classified by a study algorithm as having high probability of tuberculosis (positive urine lipoarabinomannan assay, body-mass index <18·5 kg/m2, or haemoglobin concentration <100 g/L) were recommended to start tuberculosis treatment immediately followed by ART 2 weeks later; participants classified as medium probability (tuberculosis symptoms, no high probability criteria) were recommended to have symptom-guided investigation; and participants classified as low probability (no tuberculosis symptoms or high probability criteria) were recommended to start ART immediately. In standard-of-care clinics, participants received treatment in accordance with South African guidelines. Investigators and participants were aware of treatment allocation. The primary outcome was all-cause mortality at 6 months, assessed in the intention-to-treat population. Safety was also analysed in the intention-to treat population. This trial is registered with the ISRCTN registry, ISRCTN35344604, and the South African National Clinical Trials Register, DOH-27-0812-3902. FINDINGS Between Dec 19, 2012, and Dec 18, 2014, 3091 individuals were screened for eligibility, of whom 3053 were recruited, and 3022 (1507 participants in the intervention group and 1515 participants in the control group) were analysed for the primary outcome. 930 (61·7%) of 1507 participants in the intervention group versus 172 (11·4%) of 1515 participants in the control group had started tuberculosis treatment by 2 months. At 6 months, the mortality rate was 19·0 deaths per 100 person-years for the intervention group versus 21·6 deaths per 100 person-years in the control group (unadjusted hazard ratio [HR] 0·92, 95% CI 0·67-1·26, p=0·58; adjusted HR 0·87, 0·61-1·24, p=0·41). 28 (1·9%) of 1507 participants in the intervention group and ten (0·7%) of 1515 participants in the control group reported serious or severe adverse events. Grade 3 or 4 nausea and vomiting was the most common adverse event (ten participants in the intervention group and four participants in the control group). Among participants with adverse events, eight participants (six participants in the intervention group and two participants in the control group) died; none of the six deaths in the intervention group were attributed to the study intervention. INTERPRETATION Our intervention substantially increased coverage of tuberculosis treatment in this high-risk population, but did not reduce mortality. FUNDING Joint Global Health Trials (Medical Research Council, Department for International Development, Wellcome Trust).
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Affiliation(s)
- Alison D Grant
- TB Centre, London School of Hygiene & Tropical Medicine, London, UK; Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, UK; Africa Health Research Institute, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa; School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
| | - Salome Charalambous
- School of Public Health, University of the Witwatersrand, Johannesburg, South Africa; The Aurum Institute, Johannesburg, South Africa
| | - Mpho Tlali
- The Aurum Institute, Johannesburg, South Africa
| | - Aaron S Karat
- TB Centre, London School of Hygiene & Tropical Medicine, London, UK; Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, UK
| | - Susan E Dorman
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Suzanne Johnson
- Foundation for Professional Development, Pretoria, South Africa
| | - Anna Vassall
- TB Centre, London School of Hygiene & Tropical Medicine, London, UK
| | - Gavin J Churchyard
- TB Centre, London School of Hygiene & Tropical Medicine, London, UK; School of Public Health, University of the Witwatersrand, Johannesburg, South Africa; The Aurum Institute, Johannesburg, South Africa; Advancing Care and Treatment for TB/HIV, South African Medical Research Council, Johannesburg, South Africa
| | - Katherine L Fielding
- TB Centre, London School of Hygiene & Tropical Medicine, London, UK; School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
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Outcomes of Community-Based Systematic Screening of Household Contacts of Patients with Multidrug-Resistant Tuberculosis in Myanmar. Trop Med Infect Dis 2019; 5:tropicalmed5010002. [PMID: 31881646 PMCID: PMC7157714 DOI: 10.3390/tropicalmed5010002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Revised: 11/03/2019] [Accepted: 11/13/2019] [Indexed: 01/17/2023] Open
Abstract
Screening of household contacts of patients with multidrug-resistant tuberculosis (MDR-TB) is a crucial active TB case-finding intervention. Before 2016, this intervention had not been implemented in Myanmar, a country with a high MDR-TB burden. In 2016, a community-based screening of household contacts of MDR-TB patients using a systematic TB-screening algorithm (symptom screening and chest radiography followed by sputum smear microscopy and Xpert-MTB/RIF assays) was implemented in 33 townships in Myanmar. We assessed the implementation of this intervention, how well the screening algorithm was followed, and the yield of active TB. Data collected between April 2016 and March 2017 were analyzed using logistic and log-binomial regression. Of 620 household contacts of 210 MDR-TB patients enrolled for screening, 620 (100%) underwent TB symptom screening and 505 (81%) underwent chest radiography. Of 240 (39%) symptomatic household contacts, 71 (30%) were not further screened according to the algorithm. Children aged <15 years were less likely to follow the algorithm. Twenty-four contacts were diagnosed with active TB, including two rifampicin- resistant cases (yield of active TB = 3.9%, 95% CI: 2.3%-6.5%). The highest yield was found among children aged <5 years (10.0%, 95% CI: 3.6%-24.7%). Household contact screening should be strengthened, continued, and scaled up for all MDR-TB patients in Myanmar.
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Agizew T, Boyd R, Auld AF, Payton L, Pals SL, Lekone P, Chihota V, Finlay A. Treatment outcomes, diagnostic and therapeutic impact: Xpert vs. smear. A systematic review and meta-analysis. Int J Tuberc Lung Dis 2019; 23:82-92. [PMID: 30674379 DOI: 10.5588/ijtld.18.0203] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Compared with smear microscopy, Xpert® MTB/RIF has the potential to reduce delays in tuberculosis (TB) diagnosis and treatment initiation, and improve treatment outcomes. We reviewed publications comparing treatment outcomes of drug-susceptible TB patients diagnosed using Xpert vs. smear. METHODS Citations (2000-2016) reporting treatment outcomes of patients diagnosed using Xpert compared with smear were selected from PubMed, Scopus and conference abstracts. We conducted a systematic review and meta-analysis. Favorable (cured, completed) and unfavorable (failure, death, loss to follow-up) outcomes were pooled for meta-analysis; we also reviewed the number of TB cases diagnosed, time to treatment and empiric treatment. The Mantel-Haenszel method with a fixed-effect model was used; I² was calculated to measure heterogeneity. RESULTS From 13 citations, 43 594 TB patients were included and 4825 were with known TB treatment outcome. From the pooled analysis, an unfavorable outcomes among those diagnosed using Xpert compared with smear was 20.2%, 541/2675 vs. 21.9%, 470/2150 (risk ratio 0.92, 95%CI 0.82-1.02). Statistical heterogeneity was low (I² = 0.0%, P = 0.910). Compared with smear, Xpert was reported to be superior in increasing the number of TB patients diagnosed (2/9 citations), increasing bacteriologically confirmed TB (7/9 citations), reducing empiric treatment (3/5 citations), reducing time to diagnosis (2/3 citations), and reducing time to treatment initiation (1/5 citations). CONCLUSIONS Xpert implementation showed no discernible impact on treatment outcomes compared with conventional smear despite reduced time to diagnosis, time to treatment or reduced level of empiric treatment. Further research is required to learn more about gaps in the existing health system.
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Affiliation(s)
- T Agizew
- Centers for Disease Control and Prevention (CDC), Gaborone, Botswana, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa, Faculty of Medicine, University of Botswana, Gaborone, Botswana
| | - R Boyd
- Centers for Disease Control and Prevention (CDC), Gaborone, Botswana, Division of Tuberculosis Elimination
| | - A F Auld
- Division of Global HIV and Tuberculosis, CDC, Atlanta, Georgia, USA
| | - L Payton
- Centers for Disease Control and Prevention (CDC), Gaborone, Botswana
| | - S L Pals
- Division of Global HIV and Tuberculosis, CDC, Atlanta, Georgia, USA
| | - P Lekone
- Centers for Disease Control and Prevention (CDC), Gaborone, Botswana
| | - V Chihota
- Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa, Aurum Institute, Johannesburg, South Africa
| | - A Finlay
- Centers for Disease Control and Prevention (CDC), Gaborone, Botswana, Division of Tuberculosis Elimination
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Agizew T, Chihota V, Nyirenda S, Tedla Z, Auld AF, Mathebula U, Mathoma A, Boyd R, Date A, Pals SL, Lekone P, Finlay A. Tuberculosis treatment outcomes among people living with HIV diagnosed using Xpert MTB/RIF versus sputum-smear microscopy in Botswana: a stepped-wedge cluster randomised trial. BMC Infect Dis 2019; 19:1058. [PMID: 31842773 PMCID: PMC6915885 DOI: 10.1186/s12879-019-4697-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Accepted: 12/09/2019] [Indexed: 12/22/2022] Open
Abstract
Background Xpert® MTB/RIF (Xpert) has high sensitivity for diagnosing tuberculosis (TB) compared to sputum-smear microscopy (smear) and can reduce time-to-diagnosis, time-to-treatment and potentially unfavorable patient-level treatment outcome. Methods People living with HIV (PLHIV) initiating antiretroviral therapy at 22 HIV clinics were enrolled and underwent systematic screening for TB (August 2012–November 2014). GeneXpert instruments were deployed following a stepped-wedge design at 13 centers from October 2012–June 2013. Treatment outcomes classified as an unfavorable outcome (died, treatment failure or loss-to-follow-up) or favorable outcome (cured and treatment completed). To determine outcome, smear was performed at month 5 or 6. Empiric treatment was defined as initiating treatment without/before receiving TB-positive results. Adjusting for intra-facility correlation, we compared patient-level treatment outcomes between patients screened using smear (smear arm)- and Xpert-based algorithms (Xpert arm). Results Among 6041 patients enrolled (smear arm, 1816; Xpert arm, 4225), 256 (199 per 2985 and 57 per 1582 person-years of follow-up in Xpert and smear arms, respectively; adjusted incidence rate ratio, 9.07; 95% confidence interval [CI]: 4.70–17.48; p < 0.001) received TB diagnosis and were treated. TB treatment outcomes were available for 203 patients (79.3%; Xpert, 157; smear, 46). Unfavorable outcomes were reported for 21.7% (10/46) in the smear and 13.4% (21/157) in Xpert arm (adjusted hazard ratio, 1.40; 95% CI: 0.75–2.26; p = 0.268). Compared to smear, in Xpert arm median days from sputum collection to TB treatment was 6 days (interquartile range [IQR] 2–17 versus 22 days [IQR] 3–51), p = 0.005; patients with available sputum test result had microbiologically confirmed TB in 59.0% (102/173) versus 41.9% (18/43), adjusted Odds Ratio [aOR], 2.00, 95% CI: 1.01–3.96, p = 0.048). In smear arm empiric treatment was 68.4% (39/57) versus 48.7% (97/199), aOR, 2.28, 95% CI: 1.24–4.20, p = 0.011), compared to Xpert arm. Conclusions TB treatment outcomes were similar between the smear and Xpert arms. However, compared to the smear arm, more patients in the Xpert arm received a TB diagnosis, had a microbiologically confirmed TB, and had a shorter time-to-treatment, and had a lower empiric treatment. Further research is recommended to identify potential gaps in the Botswana health system and similar settings. Trial registration ClinicalTrials.gov Identifier: NCT02538952. Retrospectively registered on 2 September 2015.
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Affiliation(s)
- Tefera Agizew
- Centers for Disease Control and Prevention, Gaborone, Botswana. .,Faculty of Health Sciences, Department of Public Health, University of the Witwatersrand, Johannesburg, South Africa. .,Faculty of Medicine, University of Botswana, Gaborone, Botswana.
| | - Violet Chihota
- Faculty of Health Sciences, Department of Public Health, University of the Witwatersrand, Johannesburg, South Africa.,Aurum Institute, Johannesburg, South Africa
| | | | - Zegabriel Tedla
- Centers for Disease Control and Prevention, Gaborone, Botswana
| | - Andrew F Auld
- Division of Global HIV and Tuberculosis, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Unami Mathebula
- Centers for Disease Control and Prevention, Gaborone, Botswana
| | - Anikie Mathoma
- Centers for Disease Control and Prevention, Gaborone, Botswana
| | - Rosanna Boyd
- Centers for Disease Control and Prevention, Gaborone, Botswana.,Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Anand Date
- Division of Global HIV and Tuberculosis, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Sherri L Pals
- Division of Global HIV and Tuberculosis, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Phenyo Lekone
- Centers for Disease Control and Prevention, Gaborone, Botswana
| | - Alyssa Finlay
- Centers for Disease Control and Prevention, Gaborone, Botswana.,Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, GA, USA
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42
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Low diagnostic accuracy of Xpert MTB/RIF assay for extrapulmonary tuberculosis: A multicenter surveillance. Sci Rep 2019; 9:18515. [PMID: 31811239 PMCID: PMC6898377 DOI: 10.1038/s41598-019-55112-y] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Accepted: 11/20/2019] [Indexed: 01/27/2023] Open
Abstract
Diagnostic accuracy of Xpert MTB/RIF assay for pulmonary tuberculosis (PTB) and extrapulmonary TB (EPTB) has not been investigated in Iran. This study was aimed to assess the diagnostic accuracy of Xpert MTB/RIF assay for both PTB and EPTB. A total of 2111 clinical samples (1218 pulmonary and 838 extra-pulmonary) were collected from 16 medical centers during the study period and were analyzed for detection of PTB and EPTB by both Xpert MTB/RIF assay and standard conventional methods (culture and direct smear microscopy). The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of Xpert MTB/RIF assay for PTB were found to be 95.5%, 96.7%, 83.8%, and 99.1% respectively. For EPTB, the sensitivity, specificity, PPV and NPV of Xpert MTB/RIF assay counted for 76.5%, 95.9%, 62%, and 97.9% respectively. Xpert MTB/RIF assay found to be highly sensitive, specific and comparable to standard conventional methods for the diagnosis of PTB. However, the sensitivity and specificity of Xpert MTB/RIF for EPTB specimens were highly variable; thus, Xpert MTB/RIF cannot be recommended to replace standard conventional tests for diagnosis of EPTB.
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Abstract
In 2017, 1.6 million people worldwide died from tuberculosis (TB). A new TB diagnostic test-Xpert MTB/RIF from Cepheid-was endorsed by the World Health Organization in 2010. Trials demonstrated that Xpert is faster and has greater sensitivity and specificity than smear microscopy-the most common sputum-based diagnostic test. However, subsequent trials found no impact of introducing Xpert on morbidity and mortality. We present a decision-theoretic model of how a clinician might decide whether to order Xpert or other tests for TB, and whether to treat a patient, with or without test results. Our first result characterizes the conditions under which it is optimal to perform empirical treatment; that is, treatment without diagnostic testing. We then examine the implications for decision making of partial knowledge of TB prevalence or test accuracy. This partial knowledge generates ambiguity, also known as deep uncertainty, about the best testing and treatment policy. In the presence of such ambiguity, we show the usefulness of diversification of testing and treatment.
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44
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Ochodo EA, Kalema N, Schumacher S, Steingart K, Young T, Mallett S, Deeks J, Cobelens F, Bossuyt PM, Nicol MP, Cattamanchi A. Variation in the observed effect of Xpert MTB/RIF testing for tuberculosis on mortality: A systematic review and analysis of trial design considerations. Wellcome Open Res 2019; 4:173. [PMID: 32851196 PMCID: PMC7438967 DOI: 10.12688/wellcomeopenres.15412.1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/16/2019] [Indexed: 02/15/2024] Open
Abstract
Background: Most studies evaluating the effect of Xpert MTB/RIF testing for tuberculosis (TB) concluded that it did not reduce overall mortality compared to usual care. We conducted a systematic review to assess whether key study design and execution features contributed to earlier identification of patients with TB and decreased pre-treatment loss to follow-up, thereby reducing the potential impact of Xpert MTB/RIF testing. Methods: We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, and Scopus for literature published from 1 st January 2009 to February 2019. We included all primary intervention studies that had evaluated the effect of Xpert MTB/RIF on mortality compared to usual care in participants with presumptive pulmonary TB. We critically reviewed features of included studies across: Study setting and context, Study population, Participant recruitment and enrolment, Study procedures, and Study follow-up. Results: We included seven randomised and one non-randomised study. All included studies demonstrated relative reductions in overall mortality in the Xpert MTB/RIF arm ranging from 6% to 40%. However, mortality reduction was reported to be statistically significant in two studies. Study features that could explain the lack of observed effect on mortality included: the higher quality of care at study sites; inclusion of patients with a higher pre-test probability of TB leading to higher than expected empirical rates; performance of additional diagnostic testing not done in usual care leading to increased TB diagnosis or empiric treatment initiation; the recruitment of participants likely to return for follow-up; and involvement of study staff in ensuring adherence with care and follow-up. Conclusion: Most studies of Xpert MTB/RIF were designed and conducted in a manner that resulted in more patients being diagnosed and treated for TB, minimising the potential difference in mortality Xpert MTB/RIF testing could have achieved compared to usual care.
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Affiliation(s)
- Eleanor A. Ochodo
- Department of Global Health, Stellenbosch University, Cape Town, Western Cape, 8000, South Africa
| | - Nelson Kalema
- Infectious Diseases Institute, Makerere University, Kampala, 22418, Uganda
| | - Samuel Schumacher
- Tuberculosis Department, Foundation for Innovative New Diagnostics, Geneva, 1202, Switzerland
| | - Karen Steingart
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, L3 5QA, UK
| | - Taryn Young
- Department of Global Health, Stellenbosch University, Cape Town, Western Cape, 8000, South Africa
| | - Susan Mallett
- NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Trust, University of Birmingham, Edgbaston, Birmingham, UK
- Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, UK
| | - Jon Deeks
- NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Trust, University of Birmingham, Edgbaston, Birmingham, UK
- Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, UK
| | - Frank Cobelens
- Amsterdam Institute for Global Health and Development, Amsterdam University Medical Centers, Amsterdam, 1105 BP, The Netherlands
| | - Patrick M. Bossuyt
- Deapartment of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam University Medical Centers, Amsterdam, 1105 AZ, The Netherlands
| | - Mark P. Nicol
- School of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Western Australia, Perth, WA, 6009, Australia
| | - Adithya Cattamanchi
- Division of Pulmonary and Critical Care Medicine, University of California San Francisco Medical Center, San Francisco, California, 94110, USA
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Mwansa-Kambafwile JRM, Chasela C, Ismail N, Menezes C. Initial loss to follow up among tuberculosis patients: the role of Ward-Based Outreach Teams and short message service (SMS) technology (research proposal). BMC Res Notes 2019; 12:737. [PMID: 31703722 PMCID: PMC6842212 DOI: 10.1186/s13104-019-4757-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Accepted: 10/18/2019] [Indexed: 12/29/2022] Open
Abstract
Introduction Tuberculosis (TB) is a problem in South Africa. Initial loss to follow up (LTFU) among TB patients is high varying between 14.9 and 18%. Some of the reasons for this are: lack of proper communication between patient and staff on next steps after testing, not aware that results are ready; and other competing priorities. Receiving reminder messages that result is ready is an intervention that can be explored to reduce initial LTFU. This can be through either receiving a note from the Ward-Based Outreach Teams (WBOTs) or via short message service (SMS) advising the patient to collect test result at the facility. This proposal aims to assess the effectiveness of WBOTs or SMS technology in reducing TB initial LTFU. Methods This will be a mixed methods approach. In depth interviews with WBOT Managers and TB Program Managers will be conducted. Focus group discussions with WBOT members will also be conducted. Two interventions (enhanced WBOTs/SMS technology) will be tested using a 3 arm randomized controlled trial (standard of care, SMS technology or enhanced WBOTs). The WBOTs will deliver paper note reminders while SMS intervention will entail sending reminder SMS messages to patients as soon as TB results are ready.
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Affiliation(s)
- Judith R M Mwansa-Kambafwile
- Department of Public Health, University of Witwatersrand, Johannesburg, South Africa. .,Centre for Tuberculosis, National Institute of Communicable Diseases, Johannesburg, South Africa. .,Consortium for Advanced Research Training in Africa (CARTA), Nairobi, Kenya.
| | - Charles Chasela
- Department of Public Health, University of Witwatersrand, Johannesburg, South Africa
| | - Nazir Ismail
- Centre for Tuberculosis, National Institute of Communicable Diseases, Johannesburg, South Africa.,Department of Microbiology, University of Pretoria, Pretoria, South Africa.,Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - Colin Menezes
- Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.,Department of Internal Medicine, Chris Hani Baragwanath Academic Hospital, Johannesburg, South Africa
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Naidoo K, Gengiah S, Singh S, Stillo J, Padayatchi N. Quality of TB care among people living with HIV: Gaps and solutions. J Clin Tuberc Other Mycobact Dis 2019; 17:100122. [PMID: 31788564 PMCID: PMC6880007 DOI: 10.1016/j.jctube.2019.100122] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Tuberculosis (TB) is the leading infectious cause of death among people living with HIV, causing one third of AIDS-related deaths globally. The concerning number of missing TB cases, ongoing high TB mortality, slow reduction in TB incidence, and limited uptake of TB preventive treatment among people living with HIV, all indicate the urgent need to improve quality of TB services within HIV programs. In this mini-review we discuss major gaps in quality of TB care that impede achieving prevention and treatment targets within the TB-HIV care cascades, show approaches of assessing gaps in TB service provision, and describe outcomes from innovative quality improvement projects among HIV and TB programs. We also offer recommendations for measuring quality of TB care.
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Affiliation(s)
- Kogieleum Naidoo
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa.,MRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, South Africa
| | | | - Satvinder Singh
- TBHIV and Quality of Care, HIV Department, World Health Organization, Geneva, Switzerland
| | - Jonathan Stillo
- Wayne State University, College of Liberal Arts and Sciences, Detroit, MI, United States
| | - Nesri Padayatchi
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa.,MRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, South Africa
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47
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Kubiak RW, Herbeck JT, Coleman SM, Ross D, Freedberg K, Bassett IV, Drain PK. Urinary LAM grade, culture positivity, and mortality among HIV-infected South African out-patients. Int J Tuberc Lung Dis 2019; 22:1366-1373. [PMID: 30355418 DOI: 10.5588/ijtld.18.0099] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
SETTING Four ambulatory clinics in Durban, South Africa. OBJECTIVE To test the relationships of patient characteristics, time to mycobacterial culture positivity, and mortality with urinary lipoarabinomannan (LAM) grade category. DESIGN Newly diagnosed human immunodeficiency virus (HIV) infected adults were screened for tuberculosis (TB) using sputum culture, tested for urinary LAM, and followed for up to 12 months. We performed multivariable ordinal logistic regression of risk factors for low (1 or 2) or high (3, 4, or 5) LAM grade. We used adjusted Cox regression models to determine the hazard ratios of time to culture positivity and death. RESULTS Among 683 HIV-infected adults, median CD4 count was 215 cells/mm³ (interquartile range 86-361 cells/mm³), 17% had culture-confirmed TB, and 11% died during follow-up. Smoking, tachycardia (pulse > 100 beats/minute), CD4 count < 100 cells/mm³, and TB culture positivity were each associated with higher LAM grade. In multivariate models, a high urine LAM grade was associated with four-fold increased hazard of culture positivity (P = 0.001) and two-fold increased hazard of mortality (P = 0.02). Among patients treated for TB, these associations were no longer statistically significant. CONCLUSION In this population, a higher urine LAM grade was associated with shorter time to culture positivity and mortality; however, these associations were not present for those starting anti-tuberculosis treatment.
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Affiliation(s)
| | - J T Herbeck
- Global Health, University of Washington, Seattle, Washington
| | - S M Coleman
- Boston University School of Public Health, Boston, Massachusetts, USA
| | - D Ross
- Department of Medicine, St Mary's Hospital, Durban, South Africa
| | - K Freedberg
- Boston University School of Public Health, Boston, Massachusetts, USA, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - I V Bassett
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - P K Drain
- Epidemiology, and, Global Health, University of Washington, Seattle, Washington, Department of Medicine, University of Washington, Seattle, Washington, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
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48
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van der Heijden YF, Hughes J, Dowdy DW, Streicher E, Chihota V, Jacobson KR, Warren R, Theron G. Overcoming limitations of tuberculosis information systems: researcher and clinician perspectives. Public Health Action 2019; 9:120-127. [PMID: 31803584 DOI: 10.5588/pha.19.0014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Accepted: 06/30/2019] [Indexed: 11/10/2022] Open
Abstract
Setting Tuberculosis (TB) diagnosis and treatment requires patients to have multiple encounters with health care systems and the different stakeholders who play a role in curing them to coordinate their efforts. To optimize this process, high-quality, readily available data are required. Data systems to facilitate these linkages are a neglected priority which, if weak, fundamentally undermine TB control interventions. Objective To describe lessons learnt from the use of programmatic data for TB patient care and research. Design We did a survey of researcher and clinical provider experiences with information systems and developed a tiered approach to addressing frequently reported barriers to high-quality care. Results Unreliable linkages, incomplete data, lack of a reliable unique patient identifier, and lack of data management expertise were the most important data-related barriers to high-quality patient care and research. We propose the creation of health service delivery environments that facilitate, prioritize, and evaluate high-quality data entry during patient or specimen registration. Conclusion An integrated approach, focused on high-quality data, and centered on unique patient identification will form the foundation for linkages across health systems that reduce patient management errors, bolster surveillance, and enhance the quality of research based on programmatic data.
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Affiliation(s)
- Y F van der Heijden
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.,Vanderbilt Tuberculosis Center, Nashville, TN, USA
| | - J Hughes
- Médecins Sans Frontières, Khayelitsha, South Africa
| | - D W Dowdy
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - E Streicher
- DST/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, Tygerberg, South Africa
| | - V Chihota
- The Aurum Institute, Johannesburg, South Africa.,School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - K R Jacobson
- Section of Infectious Diseases, Boston University School of Medicine, Boston, MA, USA
| | - R Warren
- DST/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, Tygerberg, South Africa
| | - G Theron
- DST/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, Tygerberg, South Africa
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49
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Schutz C, Ward A, Burton R, Nicol MP, Blumenthal L, Meintjes G, Kerkhoff AD. False rifampicin resistant results using Xpert MTB/RIF on urine samples in hospitalised HIV-infected patients. South Afr J HIV Med 2019; 20:978. [PMID: 31534789 PMCID: PMC6739559 DOI: 10.4102/sajhivmed.v20i1.978] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Accepted: 05/24/2019] [Indexed: 11/01/2022] Open
Abstract
Background A small proportion of false rifampicin resistant results have previously been reported using GeneXpert MTB/RIF version G4 on sputum samples; however, this has not been investigated for urine samples in HIV-associated tuberculosis (TB). Objectives We sought to determine the proportion of false rifampicin resistant results using Xpert MTB/RIF version G4 on urine samples among HIV-infected inpatients investigated for TB. Methods Hospitalised HIV-infected patients undergoing systematic TB testing from two cohorts in Cape Town, South Africa, were enrolled. All patients with ≥1 urine Xpert result available were included. Rifampicin resistant urine Xpert results were classified into three mutually exclusive groups: (1) true rifampicin resistance, (2) false rifampicin resistance or (3) unknown after review of available microbiologic and clinical data. Results Overall, 1171 patients were included, from whom a total of 1704 urine Xpert results were available on unconcentrated and/or concentrated urine samples. There were 416 samples positive for TB (24.4% [95% CI 22.4-26.5]), of which 43/413 (10.4% [95% CI 7.6-13.8]) were rifampicin resistant (after excluding three results that were falsely positive due to contamination). Of 43 rifampicin resistant Xpert results (among 40 patients), 30 were classified as true resistance, 11 as false resistance and 2 could not be classified. Excluding unclassifiable results, 30/41 results were confirmed as true-positive urine Xpert rifampicin resistance (positive predictive value: 73.2% [95% CI 57.1-85.8]). Conclusion Urine Xpert testing showed a high proportion of false rifampicin resistance results. Urine Xpert rifampicin resistant results should be interpreted cautiously and confirmed when possible.
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Affiliation(s)
- Charlotte Schutz
- Wellcome Centre for Infectious Diseases Research in Africa (CIDRI-Africa), Institute of Infectious Disease and Molecular Medicine (IDM) and Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Amy Ward
- Wellcome Centre for Infectious Diseases Research in Africa (CIDRI-Africa), Institute of Infectious Disease and Molecular Medicine (IDM) and Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Rosie Burton
- GF Jooste Hospital; Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Mark P Nicol
- Division of Medical Microbiology, University of Cape Town and National Health Laboratory Services, Cape Town, South Africa
| | - Liz Blumenthal
- Wellcome Centre for Infectious Diseases Research in Africa (CIDRI-Africa), Institute of Infectious Disease and Molecular Medicine (IDM) and Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Graeme Meintjes
- Wellcome Centre for Infectious Diseases Research in Africa (CIDRI-Africa), Institute of Infectious Disease and Molecular Medicine (IDM) and Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Andrew D Kerkhoff
- Division of HIV, Infectious Diseases and Global Medicine at Zuckerberg San Francisco General Hospital and Trauma Center, Department of Medicine, University of California, San Francisco, United States
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50
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Agins BD, Ikeda DJ, Reid MJA, Goosby E, Pai M, Cattamanchi A. Improving the cascade of global tuberculosis care: moving from the "what" to the "how" of quality improvement. THE LANCET. INFECTIOUS DISEASES 2019; 19:e437-e443. [PMID: 31447305 DOI: 10.1016/s1473-3099(19)30420-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Revised: 05/29/2019] [Accepted: 06/12/2019] [Indexed: 12/27/2022]
Abstract
Tuberculosis is preventable, treatable, and curable, yet it has the highest mortality rate of infectious diseases worldwide. Over the past decade, services to prevent, screen, diagnose, and treat tuberculosis have been developed and scaled up globally, but progress to end the disease as a public health threat has been slow, particularly in low-income and middle-income countries. In these settings, low-quality tuberculosis prevention, diagnostic, and treatment services frustrate efforts to translate use of existing tools, approaches, and treatment regimens into improved individual and public health outcomes. Increasingly sophisticated methods have been used to identify gaps in quality of tuberculosis care, but inadequate work has been done to apply these findings to activities that generate population-level improvements. In this Personal View, we contend that shifting the focus from the "what" to the "how" of quality improvement will require National Tuberculosis Programmes to change the way they organise, use data, implement, and respond to the needs and preferences of people with tuberculosis and at-risk communities.
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Affiliation(s)
- Bruce D Agins
- HEALTHQUAL, Institute for Global Health Sciences, University of California, San Francisco, CA, USA; Division of Global Epidemiology, University of California, San Francisco, CA, USA; Institute for Implementation Science in Population Health, City University of New York, NY, USA.
| | - Daniel J Ikeda
- HEALTHQUAL, Institute for Global Health Sciences, University of California, San Francisco, CA, USA; Harvard Medical School, Boston, MA, USA
| | - Michael J A Reid
- Division of HIV, Infectious Diseases and Global Medicine, University of California, San Francisco, CA, USA
| | - Eric Goosby
- Division of HIV, Infectious Diseases and Global Medicine, University of California, San Francisco, CA, USA
| | - Madhukar Pai
- McGill International TB Centre, McGill University, Montreal, Canada
| | - Adithya Cattamanchi
- Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, CA, USA
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