Literature DB >> 33658264

Evaluation of the Roche cobas MTB and MTB-RIF/INH Assays in Samples from Germany and Sierra Leone.

Darshaalini Nadarajan1, Doris Hillemann1, Rashidatu Kamara2, Lynda Foray2, Ousman S Conteh2, Matthias Merker3,4, Stefan Niemann3,4, Jasmine Lau5, Merlin Njoya5, Katharina Kranzer6, Akos Somoskovi5, Florian P Maurer7,8.   

Abstract

The Roche cobas MTB and MTB-RIF/INH assays allow for detection of Mycobacterium tuberculosis complex (MTBC) nucleic acid and rifampicin (RIF) and isoniazid (INH) resistance-associated mutations in an automated, high-throughput workflow. In this study, we evaluated the performance of these assays, employing samples from settings of low and high tuberculosis (TB) burdens. A total of 325 frozen, leftover respiratory samples collected from treatment-naive patients with presumptive TB in Germany (n = 280) and presumptive RIF-resistant TB in Sierra Leone (n = 45) were used in this study. cobas MTB results for detection of MTBC DNA from N-acetyl-l-cysteine-sodium hydroxide (NALC-NaOH)-treated samples were compared to culture results. Predictions of RIF and INH resistance by the cobas MTB-RIF/INH assay were compared to a composite reference standard (phenotypic drug susceptibility testing and line probe assay). Whole-genome sequencing was used to resolve discordances. The overall sensitivity of cobas MTB for detection of MTBC DNA in culture-positive samples (n = 102) was 89.2% (95% confidence interval [CI], 81.7 to 93.9%). The specificity of cobas MTB was 98.6% (95% CI, 96.1 to 99.5%). Sensitivity and specificity for detection of RIF and INH resistance were 88.4% (95% CI, 75.5 to 94.9%) and 97.6% (95% CI, 87.4 to 99.6%) and 76.6% (95% CI, 62.8 to 86.4%) and 100.0% (95% CI, 90.8 to 100.0%), respectively. Discordant results for RIF and INH resistance were mainly due to uncommon mutations in samples from Sierra Leone that were not covered by the cobas MTB-RIF/INH assay. In conclusion, cobas MTB and MTB-RIF/INH assays provide accurate detection of MTBC DNA and resistance-associated mutations in respiratory samples. The influence of regional variations in the prevalence of resistance-conferring mutations requires further investigation.
Copyright © 2021 Nadarajan et al.

Entities:  

Keywords:  PCR; isoniazid; molecular diagnostics; multidrug resistance; rifampicin; sputum; tuberculosis

Year:  2021        PMID: 33658264     DOI: 10.1128/JCM.02983-20

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  3 in total

1.  In silico evaluation of WHO-endorsed molecular methods to detect drug resistant tuberculosis.

Authors:  Alice Brankin; Marva Seifert; Sophia B Georghiou; Timothy M Walker; Swapna Uplekar; Anita Suresh; Rebecca E Colman
Journal:  Sci Rep       Date:  2022-10-22       Impact factor: 4.996

2.  Estimating tuberculosis drug resistance amplification rates in high-burden settings.

Authors:  Malancha Karmakar; Romain Ragonnet; David B Ascher; James M Trauer; Justin T Denholm
Journal:  BMC Infect Dis       Date:  2022-01-24       Impact factor: 3.090

Review 3.  Rapid Molecular Assays for the Diagnosis of Drug-Resistant Tuberculosis.

Authors:  Louansha Nandlal; Rubeshan Perumal; Kogieleum Naidoo
Journal:  Infect Drug Resist       Date:  2022-08-29       Impact factor: 4.177

  3 in total

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