Literature DB >> 24176144

Feasibility, accuracy, and clinical effect of point-of-care Xpert MTB/RIF testing for tuberculosis in primary-care settings in Africa: a multicentre, randomised, controlled trial.

Grant Theron1, Lynn Zijenah2, Duncan Chanda3, Petra Clowes4, Andrea Rachow5, Maia Lesosky1, Wilbert Bara6, Stanley Mungofa6, Madhukar Pai7, Michael Hoelscher5, David Dowdy8, Alex Pym9, Peter Mwaba3, Peter Mason10, Jonny Peter1, Keertan Dheda11.   

Abstract

BACKGROUND: The Xpert MTB/RIF test for tuberculosis is being rolled out in many countries, but evidence is lacking regarding its implementation outside laboratories, ability to inform same-day treatment decisions at the point of care, and clinical effect on tuberculosis-related morbidity. We aimed to assess the feasibility, accuracy, and clinical effect of point-of-care Xpert MTB/RIF testing at primary-care health-care facilities in southern Africa.
METHODS: In this pragmatic, randomised, parallel-group, multicentre trial, we recruited adults with symptoms suggestive of active tuberculosis from five primary-care health-care facilities in South Africa, Zimbabwe, Zambia, and Tanzania. Eligible patients were randomly assigned using pregenerated tables to nurse-performed Xpert MTB/RIF at the clinic or sputum smear microscopy. Participants with a negative test result were empirically managed according to local WHO-compliant guidelines. Our primary outcome was tuberculosis-related morbidity (measured with the TBscore and Karnofsky performance score [KPS]) in culture-positive patients who had begun anti-tuberculosis treatment, measured at 2 months and 6 months after randomisation, analysed by intention to treat. This trial is registered with Clinicaltrials.gov, number NCT01554384.
FINDINGS: Between April 12, 2011, and March 30, 2012, we randomly assigned 758 patients to smear microscopy (182 culture positive) and 744 to Xpert MTB/RIF (185 culture positive). Median TBscore in culture-positive patients did not differ between groups at 2 months (2 [IQR 0-3] in the smear microscopy group vs 2 [0·25-3] in the MTB/RIF group; p=0·85) or 6 months (1 [0-3] vs 1 [0-3]; p=0·35), nor did median KPS at 2 months (80 [70-90] vs 90 [80-90]; p=0·23) or 6 months (100 [90-100] vs 100 [90-100]; p=0·85). Point-of-care MTB/RIF had higher sensitivity than microscopy (154 [83%] of 185 vs 91 [50%] of 182; p=0·0001) but similar specificity (517 [95%] 544 vs 540 [96%] of 560; p=0·25), and had similar sensitivity to laboratory-based MTB/RIF (292 [83%] of 351; p=0·99) but higher specificity (952 [92%] of 1037; p=0·0173). 34 (5%) of 744 tests with point-of-care MTB/RIF and 82 (6%) of 1411 with laboratory-based MTB/RIF failed (p=0·22). Compared with the microscopy group, more patients in the MTB/RIF group had a same-day diagnosis (178 [24%] of 744 vs 99 [13%] of 758; p<0·0001) and same-day treatment initiation (168 [23%] of 744 vs 115 [15%] of 758; p=0·0002). Although, by end of the study, more culture-positive patients in the MTB/RIF group were on treatment due to reduced dropout (15 [8%] of 185 in the MTB/RIF group did not receive treatment vs 28 [15%] of 182 in the microscopy group; p=0·0302), the proportions of all patients on treatment in each group by day 56 were similar (320 [43%] of 744 in the MTB/RIF group vs 317 [42%] of 758 in the microscopy group; p=0·6408).
INTERPRETATION: Xpert MTB/RIF can be accurately administered by a nurse in primary-care clinics, resulting in more patients starting same-day treatment, more culture-positive patients starting therapy, and a shorter time to treatment. However, the benefits did not translate into lower tuberculosis-related morbidity, partly because of high levels of empirical-evidence-based treatment in smear-negative patients. FUNDING: European and Developing Countries Clinical Trials Partnership, National Research Foundation, and Claude Leon Foundation.
Copyright © 2014 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 24176144     DOI: 10.1016/S0140-6736(13)62073-5

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  203 in total

1.  Performance of Xpert MTB/RIF Assay in Diagnosis of Pleural Tuberculosis by Use of Pleural Fluid Samples.

Authors:  Syed Beenish Rufai; Amit Singh; Parveen Kumar; Jitendra Singh; Sarman Singh
Journal:  J Clin Microbiol       Date:  2015-08-26       Impact factor: 5.948

2.  Countrywide roll-out of Xpert(®) MTB/RIF in Swaziland: the first three years of implementation.

Authors:  W Sikhondze; T Dlamini; D Khumalo; G Maphalala; S Dlamini; T Zikalala; H Albert; J Wambugu; K Tayler-Smith; E Ali; S Ade; A D Harries
Journal:  Public Health Action       Date:  2015-06-21

3.  Mixed impact of Xpert(®) MTB/RIF on tuberculosis diagnosis in Cambodia.

Authors:  S C Auld; B K Moore; R P Kyle; B Eng; K Nong; E S Pevzner; K K Eam; M T Eang; W P Killam
Journal:  Public Health Action       Date:  2016-06-21

4.  False-Positive Xpert MTB/RIF Results in Retested Patients with Previous Tuberculosis: Frequency, Profile, and Prospective Clinical Outcomes.

Authors:  Grant Theron; Rouxjeane Venter; Liezel Smith; Aliasgar Esmail; Philippa Randall; Vishesh Sood; Suzette Oelfese; Greg Calligaro; Robin Warren; Keertan Dheda
Journal:  J Clin Microbiol       Date:  2018-02-22       Impact factor: 5.948

5.  Xpert MTB/RIF Results in Patients With Previous Tuberculosis: Can We Distinguish True From False Positive Results?

Authors:  Grant Theron; Rouxjeane Venter; Greg Calligaro; Liezel Smith; Jason Limberis; Richard Meldau; Duncan Chanda; Aliasgar Esmail; Jonny Peter; Keertan Dheda
Journal:  Clin Infect Dis       Date:  2016-02-16       Impact factor: 9.079

6.  Gene Xpert MTB/RIF assay confirms its value in the first multicentre, randomised, controlled trial conducted in primary-care settings in Africa.

Authors:  Roberto Cauda
Journal:  Pathog Glob Health       Date:  2014-04       Impact factor: 2.894

7.  Spatially targeted screening to reduce tuberculosis transmission in high-incidence settings.

Authors:  Patrick G T Cudahy; Jason R Andrews; Alyssa Bilinski; David W Dowdy; Barun Mathema; Nicolas A Menzies; Joshua A Salomon; Sourya Shrestha; Ted Cohen
Journal:  Lancet Infect Dis       Date:  2018-12-13       Impact factor: 25.071

Review 8.  Reducing Uncertainty for Acute Febrile Illness in Resource-Limited Settings: The Current Diagnostic Landscape.

Authors:  Matthew L Robinson; Yukari C Manabe
Journal:  Am J Trop Med Hyg       Date:  2017-06       Impact factor: 2.345

9.  Impact of Point-of-Care Xpert MTB/RIF on Tuberculosis Treatment Initiation. A Cluster-randomized Trial.

Authors:  Richard J Lessells; Graham S Cooke; Nuala McGrath; Mark P Nicol; Marie-Louise Newell; Peter Godfrey-Faussett
Journal:  Am J Respir Crit Care Med       Date:  2017-10-01       Impact factor: 21.405

10.  Policy to practice: impact of GeneXpert MTB/RIF implementation on the TB spectrum of care in Lilongwe, Malawi.

Authors:  Kashmira S Chawla; Cecilia Kanyama; Abineli Mbewe; Mitch Matoga; Irving Hoffman; Jonathan Ngoma; Mina C Hosseinipour
Journal:  Trans R Soc Trop Med Hyg       Date:  2016-05       Impact factor: 2.184

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