Literature DB >> 22075479

Do adjunct tuberculosis tests, when combined with Xpert MTB/RIF, improve accuracy and the cost of diagnosis in a resource-poor setting?

Grant Theron1, Anil Pooran, Jonny Peter, Richard van Zyl-Smit, Hridesh Kumar Mishra, Richard Meldau, Greg Calligaro, Brian Allwood, Surendra Kumar Sharma, Rod Dawson, Keertan Dheda.   

Abstract

Information regarding the utility of adjunct diagnostic tests in combination with Xpert MTB/RIF (Cepheid, Sunnyvale, CA, USA) is limited. We hypothesised adjunct tests could enhance accuracy and/or reduce the cost of tuberculosis (TB) diagnosis prior to MTB/RIF testing, and rule-in or rule-out TB in MTB/RIF-negative individuals. We assessed the accuracy and/or laboratory-associated cost of diagnosis of smear microscopy, chest radiography (CXR) and interferon-γ release assays (IGRAs; T-SPOT-TB (Oxford Immunotec, Oxford, UK) and QuantiFERON-TB Gold In-Tube (Cellestis, Chadstone, Australia)) combined with MTB/RIF for TB in 480 patients in South Africa. When conducted prior to MTB/RIF: 1) smear microscopy followed by MTB/RIF (if smear negative) had the lowest cost of diagnosis of any strategy investigated; 2) a combination of smear microscopy, CXR (if smear negative) and MTB/RIF (if imaging compatible with active TB) did not further reduce the cost per TB case diagnosed; and 3) a normal CXR ruled out TB in 18% of patients (57 out of 324; negative predictive value (NPV) 100%). When downstream adjunct tests were applied to MTB/RIF-negative individuals, radiology ruled out TB in 24% (56 out of 234; NPV 100%), smear microscopy ruled in TB in 21% (seven out of 24) of culture-positive individuals and IGRAs were not useful in either context. In resource-poor settings, smear microscopy combined with MTB/RIF had the highest accuracy and lowest cost of diagnosis compared to either technique alone. In MTB/RIF-negative individuals, CXR has poor rule-in value but can reliably rule out TB in approximately one in four cases. These data inform upon the programmatic utility of MTB/RIF in high-burden settings.

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Year:  2011        PMID: 22075479      PMCID: PMC5523948          DOI: 10.1183/09031936.00145511

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  14 in total

1.  The use of an automated quantitative polymerase chain reaction (Xpert MTB/RIF) to predict the sputum smear status of tuberculosis patients.

Authors:  Grant Theron; Lancelot Pinto; Jonny Peter; Hemant Kumar Mishra; Hridesh Kumar Mishra; Richard van Zyl-Smit; Surendra Kumar Sharma; Keertan Dheda
Journal:  Clin Infect Dis       Date:  2011-12-01       Impact factor: 9.079

2.  Evaluation of the Xpert MTB/RIF assay for the diagnosis of pulmonary tuberculosis in a high HIV prevalence setting.

Authors:  Grant Theron; Jonny Peter; Richard van Zyl-Smit; Hridesh Mishra; Elizabeth Streicher; Samuel Murray; Rodney Dawson; Andrew Whitelaw; Michael Hoelscher; Surendra Sharma; Madhukar Pai; Robin Warren; Keertan Dheda
Journal:  Am J Respir Crit Care Med       Date:  2011-04-14       Impact factor: 21.405

3.  Xpert MTB/RIF test for tuberculosis.

Authors:  Grant Theron; Jonny Peter; Keertan Dheda
Journal:  Lancet       Date:  2011-08-06       Impact factor: 79.321

4.  Are interferon-γ release assays useful for diagnosing active tuberculosis in a high-burden setting?

Authors:  D I Ling; M Pai; V Davids; L Brunet; L Lenders; R Meldau; G Calligaro; B Allwood; R van Zyl-Smit; J Peter; E Bateman; R Dawson; K Dheda
Journal:  Eur Respir J       Date:  2011-02-24       Impact factor: 16.671

5.  Rapid molecular detection of tuberculosis and rifampin resistance.

Authors:  Catharina C Boehme; Pamela Nabeta; Doris Hillemann; Mark P Nicol; Shubhada Shenai; Fiorella Krapp; Jenny Allen; Rasim Tahirli; Robert Blakemore; Roxana Rustomjee; Ana Milovic; Martin Jones; Sean M O'Brien; David H Persing; Sabine Ruesch-Gerdes; Eduardo Gotuzzo; Camilla Rodrigues; David Alland; Mark D Perkins
Journal:  N Engl J Med       Date:  2010-09-01       Impact factor: 91.245

6.  Development and evaluation of a new chest radiograph reading and recording system for epidemiological surveys of tuberculosis and lung disease.

Authors:  S Den Boon; E D Bateman; D A Enarson; M W Borgdorff; S Verver; C J Lombard; E Irusen; N Beyers; N W White
Journal:  Int J Tuberc Lung Dis       Date:  2005-10       Impact factor: 2.373

7.  Cost and cost-effectiveness of community-based care for tuberculosis in Cape Town, South Africa.

Authors:  E Sinanovic; K Floyd; L Dudley; V Azevedo; R Grant; D Maher
Journal:  Int J Tuberc Lung Dis       Date:  2003-09       Impact factor: 2.373

8.  Chest radiograph reading and recording system: evaluation for tuberculosis screening in patients with advanced HIV.

Authors:  R Dawson; P Masuka; D J Edwards; E D Bateman; L-G Bekker; R Wood; S D Lawn
Journal:  Int J Tuberc Lung Dis       Date:  2010-01       Impact factor: 2.373

9.  Interferon release does not add discriminatory value to smear-negative HIV-tuberculosis algorithms.

Authors:  M X Rangaka; H P Gideon; K A Wilkinson; M Pai; J Mwansa-Kambafwile; G Maartens; J R Glynn; A Boulle; K Fielding; R Goliath; R Titus; S Mathee; R J Wilkinson
Journal:  Eur Respir J       Date:  2011-06-30       Impact factor: 16.671

10.  The effect of diagnostic delays on the drop-out rate and the total delay to diagnosis of tuberculosis.

Authors:  Stephen J Millen; Pieter W Uys; John Hargrove; Paul D van Helden; Brian G Williams
Journal:  PLoS One       Date:  2008-04-09       Impact factor: 3.240

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  36 in total

1.  The use of an automated quantitative polymerase chain reaction (Xpert MTB/RIF) to predict the sputum smear status of tuberculosis patients.

Authors:  Grant Theron; Lancelot Pinto; Jonny Peter; Hemant Kumar Mishra; Hridesh Kumar Mishra; Richard van Zyl-Smit; Surendra Kumar Sharma; Keertan Dheda
Journal:  Clin Infect Dis       Date:  2011-12-01       Impact factor: 9.079

2.  Screening for pulmonary tuberculosis in a Tanzanian prison and computer-aided interpretation of chest X-rays.

Authors:  A Steiner; C Mangu; J van den Hombergh; H van Deutekom; B van Ginneken; P Clowes; F Mhimbira; S Mfinanga; A Rachow; K Reither; M Hoelscher
Journal:  Public Health Action       Date:  2015-12-21

3.  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

4.  Rapid implementation of new TB diagnostic tests: is it too soon for a global roll-out of Xpert MTB/RIF?

Authors:  Daniela E Kirwan; María Kathia Cárdenas; Robert H Gilman
Journal:  Am J Trop Med Hyg       Date:  2012-08       Impact factor: 2.345

5.  Multicenter evaluation of genechip for detection of multidrug-resistant Mycobacterium tuberculosis.

Authors:  Yu Pang; Hui Xia; Zhiying Zhang; Junchen Li; Yi Dong; Qiang Li; Xichao Ou; Yuanyuan Song; Yufeng Wang; Richard O'Brien; Kai Man Kam; Junying Chi; Shitong Huan; Daniel P Chin; Yanlin Zhao
Journal:  J Clin Microbiol       Date:  2013-03-20       Impact factor: 5.948

Review 6.  Xpert® MTB/RIF assay for pulmonary tuberculosis and rifampicin resistance in adults.

Authors:  Karen R Steingart; Ian Schiller; David J Horne; Madhukar Pai; Catharina C Boehme; Nandini Dendukuri
Journal:  Cochrane Database Syst Rev       Date:  2014-01-21

Review 7.  Diagnostic accuracy of C-reactive protein for active pulmonary tuberculosis: a meta-analysis.

Authors:  C Yoon; L H Chaisson; S M Patel; I E Allen; P K Drain; D Wilson; A Cattamanchi
Journal:  Int J Tuberc Lung Dis       Date:  2017-09-01       Impact factor: 2.373

8.  Association of Radiological Findings with the Xpert MTB/RIF Test in Patients with Suspected Pulmonary Tuberculosis.

Authors:  Wilson Oliveira Ezequiel Neto; Giovana Rodrigues Pereira; Márcia Silva Barbosa; Natan José Dutra Dias; Denise Rossato Silva
Journal:  Lung       Date:  2018-09-03       Impact factor: 2.584

9.  Cost-effectiveness of a new strategy to detect pulmonary tuberculosis in household contacts in Myanmar.

Authors:  K K K Htet; T Liabsuetrakul; S Thein
Journal:  Int J Tuberc Lung Dis       Date:  2017-02-01       Impact factor: 2.373

10.  Comparison of two methods for acquisition of sputum samples for diagnosis of suspected tuberculosis in smear-negative or sputum-scarce people: a randomised controlled trial.

Authors:  Jonathan G Peter; Grant Theron; Anil Pooran; Johnson Thomas; Mellissa Pascoe; Keertan Dheda
Journal:  Lancet Respir Med       Date:  2013-07-19       Impact factor: 30.700

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