Literature DB >> 33128653

Association of Xpert MTB/RIF Cycle Threshold Values with Tuberculosis Treatment Outcomes.

Matheus de Matto Pires1, Giovana Rodrigues Pereira1,2, Márcia Silva Barbosa1,2, Natan José Dutra Dias2, Carina Secchi2, Jociane Saldanha Hoff3, Denise Rossato Silva4,5.   

Abstract

PURPOSE: Considering the current recommendation of the World Health Organization to replace sputum smear microscopy with Xpert MTB/RIF as an initial diagnostic test for tuberculosis (TB), and that culture takes time to provide results, the cycle threshold (CT) of the Xpert test may be the only way to assess bacillary load. The objective of this study is to evaluate the association of bacillary load, measured by the Xpert CT, with the TB treatment outcomes.
METHODS: In cohort study, Xpert CT values were evaluated in cured and non-cured (failure and death) patients. Multivariate analysis was performed to evaluate if CT is independently associated with TB treatment outcomes.
RESULTS: During this study period, 155 patients (84 cured and 71 non-cured) met the inclusion and were included in the analysis. The mean CT value for Xpert MTB/RIF test was 20.7 ± 5.6 in cured patients and 17.1 ± 5.6 in non-cured patients (p < 0.0001). Previous TB was more frequent in non-cured (28.2%) than in cured patients (7.1%) (p < 0.0001). Non-cured patients were younger than cured ones (37.1 ± 13.3 vs 43.6 ± 16.2; p = 0.006). HIV was more frequent in non-cured (28.2%) than in cured patients (15.5%), although this difference was not statistically significant (p = 0.054). In multivariate analysis, CT values, age, previous TB, and HIV were independently associated with non-cure.
CONCLUSIONS: Lower Xpert MTB/RIF CT values were independently associated with worse treatment outcomes. The information from even a single test performed before starting treatment proved to be a relatively good predictor of TB treatment outcome.

Entities:  

Keywords:  Cycle threshold; Diagnosis; Molecular test; Mycobacterium tuberculosis; Tuberculosis; Xpert MTB/RIF

Year:  2020        PMID: 33128653     DOI: 10.1007/s00408-020-00398-3

Source DB:  PubMed          Journal:  Lung        ISSN: 0341-2040            Impact factor:   2.584


  16 in total

1.  Time to detection of the growth of Mycobacterium tuberculosis in MGIT 960 for determining the early bactericidal activity of antituberculosis agents.

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Journal:  Eur J Clin Microbiol Infect Dis       Date:  2010-09-04       Impact factor: 3.267

2.  Mortality associated with tuberculosis/HIV co-infection among patients on TB treatment in the Limpopo province, South Africa.

Authors:  Tiyani E Mabunda; Nalezani J Ramalivhana; Yoswa M Dambisya
Journal:  Afr Health Sci       Date:  2014-12       Impact factor: 0.927

3.  Cavitary disease and quantitative sputum bacillary load in cases of pulmonary tuberculosis.

Authors:  Moises Palaci; Reynaldo Dietze; David Jamil Hadad; Fabiola Karla Corrêa Ribeiro; Renata Lyrio Peres; Solange Alves Vinhas; Ethel Leonor Noia Maciel; Valdério do Valle Dettoni; Libby Horter; W Henry Boom; John L Johnson; Kathleen D Eisenach
Journal:  J Clin Microbiol       Date:  2007-10-10       Impact factor: 5.948

4.  Xpert MTB/RIF as a measure of sputum bacillary burden. Variation by HIV status and immunosuppression.

Authors:  Colleen F Hanrahan; Grant Theron; Jean Bassett; Keertan Dheda; Lesley Scott; Wendy Stevens; Ian Sanne; Annelies Van Rie
Journal:  Am J Respir Crit Care Med       Date:  2014-06-01       Impact factor: 21.405

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.  Time to detection of Mycobacterium tuberculosis in BACTEC systems as a viable alternative to colony counting.

Authors:  C Pheiffer; N M Carroll; N Beyers; P Donald; K Duncan; P Uys; P van Helden
Journal:  Int J Tuberc Lung Dis       Date:  2008-07       Impact factor: 2.373

7.  Radiological cavitation, sputum mycobacterial load and treatment response in pulmonary tuberculosis.

Authors:  F M R Perrin; N Woodward; P P J Phillips; T D McHugh; A J Nunn; M C I Lipman; S H Gillespie
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Review 8.  Diagnostic accuracy of the Xpert® MTB/RIF cycle threshold level to predict smear positivity: a meta-analysis.

Authors:  B Lange; P Khan; G Kalmambetova; H A Al-Darraji; D Alland; U Antonenka; T Brown; M E Balcells; R Blakemore; C M Denkinger; K Dheda; H Hoffmann; A Kadyrov; N Lemaitre; M B Miller; V Nikolayevskyy; E N Ntinginya; N Ozkutuk; J J Palacios; E B Popowitch; J M Porcel; J Teo; G Theron; K Kranzer
Journal:  Int J Tuberc Lung Dis       Date:  2017-05-01       Impact factor: 2.373

9.  Treatment outcome and its attributes in TB-HIV co-infected patients registered under Revised National TB Control Program: a retrospective cohort analysis.

Authors:  N N Ambadekar; S P Zodpey; R N Soni; S P Lanjewar
Journal:  Public Health       Date:  2015-04-28       Impact factor: 2.427

10.  Are they really lost? "true" status and reasons for treatment discontinuation among HIV infected patients on antiretroviral therapy considered lost to follow up in Urban Malawi.

Authors:  Hannock Tweya; Caryl Feldacker; Janne Estill; Andreas Jahn; Wingston Ng'ambi; Anne Ben-Smith; Olivia Keiser; Mphatso Bokosi; Matthias Egger; Colin Speight; Joe Gumulira; Sam Phiri
Journal:  PLoS One       Date:  2013-09-26       Impact factor: 3.240

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  1 in total

1.  Global trends of research on tuberculous pleurisy over the past 15 years: A bibliometric analysis.

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  1 in total

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