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Effect of Xpert MTB/RIF on clinical outcomes in routine care settings: individual patient data meta-analysis.
Di Tanna, Gian Luca; Khaki, Ali Raza; Theron, Grant; McCarthy, Kerrigan; Cox, Helen; Mupfumi, Lucy; Trajman, Anete; Zijenah, Lynn Sodai; Mason, Peter; Bandason, Tsitsi; Durovni, Betina; Bara, Wilbert; Hoelscher, Michael; Clowes, Petra; Mangu, Chacha; Chanda, Duncan; Pym, Alexander; Mwaba, Peter; Cobelens, Frank; Nicol, Mark P; Dheda, Keertan; Churchyard, Gavin; Fielding, Katherine; Metcalfe, John Z.
Afiliação
  • Di Tanna GL; TB Centre, London, UK; Riskcenter-IREA, Department of Econometrics, Statistics and Applied Economics, University of Barcelona, Barcelona, Spain.
  • Khaki AR; Division of Oncology, University of Washington, Seattle, WA, USA.
  • Theron G; DST-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.
  • McCarthy K; National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa.
  • Cox H; Division of Medical Microbiology, and Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.
  • Mupfumi L; Botswana Harvard AIDS Institute, Gaborone, Botswana.
  • Trajman A; Federal University of Rio de Janeiro, Rio de Janeiro, Brazil; McGill University, Montreal, QC, Canada.
  • Zijenah LS; Department of Immunology, University of Zimbabwe College of Health Sciences, Harare, Zimbabwe.
  • Mason P; Biomedical Research and Training Institute, Harare, Zimbabwe.
  • Bandason T; Biomedical Research and Training Institute, Harare, Zimbabwe.
  • Durovni B; Municipal Health Secretariat, Rio de Janeiro, Brazil.
  • Bara W; Zimbabwe Ministry of Health and Child Welfare, Harare, Zimbabwe.
  • Hoelscher M; Mbeya Medical Research Center, Mbeya, Tanzania; Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich, Munich, Germany.
  • Clowes P; Mbeya Medical Research Center, Mbeya, Tanzania; Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich, Munich, Germany.
  • Mangu C; Mbeya Medical Research Center, Mbeya, Tanzania.
  • Chanda D; University Teaching Hospital and University of Zambia School of Medicine, Lusaka, Zambia.
  • Pym A; Africa Health Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.
  • Mwaba P; University Teaching Hospital and University of Zambia School of Medicine, Lusaka, Zambia.
  • Cobelens F; Department of Global Health and Amsterdam Institute for Global Health and Development, Academic Medical Center, Amsterdam, Netherlands.
  • Nicol MP; National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa; Division of Medical Microbiology, and Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.
  • Dheda K; London School of Hygiene and Tropical Medicine, London, UK; Lung Infection and Immunity Unit, Division of Pulmonology, University of Cape Town, Cape Town, South Africa.
  • Churchyard G; The Aurum Institute, Johannesburg, South Africa; School of Public Health, University of the Witwatersrand, Johannesburg, South Africa; Advancing Care and Treatment for TB/HIV, South African Medical Research Council, Johannesburg, South Africa.
  • Fielding K; TB Centre, London, UK.
  • Metcalfe JZ; Division of Pulmonary and Critical Care Medicine, Zuckerberg San Francisco General Hospital, University of California, San Francisco, CA, USA. Electronic address: john.metcalfe@ucsf.edu.
Lancet Glob Health ; 7(2): e191-e199, 2019 02.
Article em En | MEDLINE | ID: mdl-30683238
ABSTRACT

BACKGROUND:

Xpert MTB/RIF, the most widely used automated nucleic acid amplification test for tuberculosis, is available in more than 130 countries. Although diagnostic accuracy is well documented, anticipated improvements in patient outcomes have not been clearly identified. We performed an individual patient data meta-analysis to examine improvements in patient outcomes associated with Xpert MTB/RIF.

METHODS:

We searched PubMed, Embase, ClinicalTrials.gov, and the Pan African Clinical Trials Registry from inception to Feb 1, 2018, for randomised controlled trials (RCTs) comparing the use of Xpert MTB/RIF with sputum smear microscopy as tests for tuberculosis diagnosis in adults (aged 18 years or older). We excluded studies of patients with extrapulmonary tuberculosis, and studies in which mortality was not assessed. We used a two-stage approach for our primary analysis and a one-stage approach for the sensitivity analysis. To assess the primary outcome of cumulative 6-month all-cause mortality, we first performed logistic regression models (random effects for cluster randomised trials, with robust SEs for multicentre studies) for each trial, and then pooled the odds ratio (OR) estimates by a fixed-effects (inverse variance) or random-effects (Der Simonian Laird) meta-analysis. We adjusted for age and gender, and stratified by HIV status and previous tuberculosis-treatment history. The study protocol has been registered with PROSPERO, number CRD42014013394.

FINDINGS:

Our search identified 387 studies, of which five RCTs were eligible for analysis. 8567 adult clinic attendees (4490 [63·5%] of 7074 participants for whom data were available were HIV-positive) were tested for tuberculosis with Xpert MTB/RIF (Xpert group) versus sputum smear microscopy (sputum smear group), across five low-income and middle-income countries (South Africa, Brazil, Zimbabwe, Zambia, and Tanzania). The primary outcome (reported in three studies) occurred in 182 (4·5%) of 4050 patients in the Xpert group and 217 (5·3%) of 4093 patients in the smear group (pooled adjusted OR 0·88, 95% CI 0·68-1·14 [p=0·34]; for HIV-positive individuals OR 0·83, 0·65-1·05 [p=0·12]). Kaplan-Meier estimates showed a lower rate of death (12·73 per 100 person-years in the Xpert group vs 16·38 per 100 person-years in the sputum smear group) for HIV-positive patients (hazard ratio 0·76, 95% CI 0·60-0·97; p=0·03). The risk of bias was assessed as reasonable and the statistical heterogeneity across studies was low (I2<20% for the primary outcome).

INTERPRETATION:

Despite individual patient data analysis from five RCTs, we were unable to confidently rule in nor rule out an Xpert MTB/RIF-associated reduction in mortality among outpatients tested for tuberculosis. Reduction in mortality among HIV-positive patients in a secondary analysis suggests the possibility of population-level impact.

FUNDING:

US National Institutes of Health.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Escarro / Tuberculose Pulmonar / Técnicas de Amplificação de Ácido Nucleico / Mycobacterium tuberculosis Tipo de estudo: Clinical_trials / Etiology_studies / Guideline / Prognostic_studies / Systematic_reviews Limite: Adult / Female / Humans / Male / Middle aged País como assunto: Africa / America do sul / Brasil Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Escarro / Tuberculose Pulmonar / Técnicas de Amplificação de Ácido Nucleico / Mycobacterium tuberculosis Tipo de estudo: Clinical_trials / Etiology_studies / Guideline / Prognostic_studies / Systematic_reviews Limite: Adult / Female / Humans / Male / Middle aged País como assunto: Africa / America do sul / Brasil Idioma: En Ano de publicação: 2019 Tipo de documento: Article