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Effect of Xpert MTB/RIF on clinical outcomes in routine care settings: individual patient data meta-analysis

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 individ...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6366854/
https://www.ncbi.nlm.nih.gov/pubmed/30683238
http://dx.doi.org/10.1016/S2214-109X(18)30458-3
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author 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
author_facet 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
author_sort Di Tanna, Gian Luca
collection PubMed
description 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 (I(2)<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.
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spelling pubmed-63668542019-02-07 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 Lancet Glob Health Article 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 (I(2)<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. 2019-02 /pmc/articles/PMC6366854/ /pubmed/30683238 http://dx.doi.org/10.1016/S2214-109X(18)30458-3 Text en http://creativecommons.org/licenses/by/4.0/ This is an Open Access article under the CC BY-NC-ND 4.0 license.
spellingShingle Article
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
Effect of Xpert MTB/RIF on clinical outcomes in routine care settings: individual patient data meta-analysis
title Effect of Xpert MTB/RIF on clinical outcomes in routine care settings: individual patient data meta-analysis
title_full Effect of Xpert MTB/RIF on clinical outcomes in routine care settings: individual patient data meta-analysis
title_fullStr Effect of Xpert MTB/RIF on clinical outcomes in routine care settings: individual patient data meta-analysis
title_full_unstemmed Effect of Xpert MTB/RIF on clinical outcomes in routine care settings: individual patient data meta-analysis
title_short Effect of Xpert MTB/RIF on clinical outcomes in routine care settings: individual patient data meta-analysis
title_sort effect of xpert mtb/rif on clinical outcomes in routine care settings: individual patient data meta-analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6366854/
https://www.ncbi.nlm.nih.gov/pubmed/30683238
http://dx.doi.org/10.1016/S2214-109X(18)30458-3
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