Literature DB >> 27733630

Evaluation of the Abbott RealTime MTB and RealTime MTB INH/RIF Assays for Direct Detection of Mycobacterium tuberculosis Complex and Resistance Markers in Respiratory and Extrapulmonary Specimens.

Sabine Hofmann-Thiel1,2, Nikolay Molodtsov2, Uladzimir Antonenka2, Harald Hoffmann3,2.   

Abstract

The Abbott RealTime MTB (RT MTB) assay is a new automated nucleic acid amplification test for the detection of Mycobacterium tuberculosis complex (MTBC) in clinical specimens. In combination with the RealTime MTB INH/RIF (RT MTB INH/RIF) resistance assay, which can be applied to RT MTB-positive specimens as an add-on assay, the tests also indicate the genetic markers of resistance to isoniazid (INH) and rifampin (RIF). We aimed to evaluate the diagnostic sensitivity and specificity of RT MTB using different types of respiratory and extrapulmonary specimens and to compare performance characteristics directly with those of the FluoroType MTB assay. The resistance results obtained by RT MTB INH/RIF were compared to those from the GenoType MTBDRplus and from phenotypic drug susceptibility testing. A total of 715 clinical specimens were analyzed. Compared to culture, the overall sensitivity of RT MTB was 92.1%; the sensitivity rates for smear-positive and smear-negative samples were 100% and 76.2%, respectively. The sensitivities of smear-negative specimens were almost identical for respiratory (76.3%) and extrapulmonary (76%) specimens. Specificity rates were 100% and 95.8% for culture-negative specimens and those that grew nontuberculous mycobacteria, respectively. RT MTB INH/RIF was applied to 233 RT MTB-positive samples and identified resistance markers in 7.7% of samples. Agreement with phenotypic and genotypic drug susceptibility testing was 99.5%. In conclusion, RT MTB and RT MTB INH/RIF allow for the rapid and accurate diagnosis of tuberculosis (TB) in different types of specimens and reliably indicate resistance markers. The strengths of this system are the comparably high sensitivity with paucibacillary specimens, its ability to detect INH and RIF resistance, and its high-throughput capacities.
Copyright © 2016, American Society for Microbiology. All Rights Reserved.

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Year:  2016        PMID: 27733630      PMCID: PMC5121395          DOI: 10.1128/JCM.01144-16

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


  22 in total

1.  Is real-time PCR better than conventional PCR for Mycobacterium tuberculosis complex detection in clinical samples?

Authors:  Enrico Tortoli; Pasquale Urbano; Fiorella Marcelli; Tullia M Simonetti; Daniela M Cirillo
Journal:  J Clin Microbiol       Date:  2012-06-12       Impact factor: 5.948

2.  Characterisation of Mycobacterium tuberculosis isolates lacking IS6110 in Viet Nam.

Authors:  M N T Huyen; E W Tiemersma; K Kremer; P de Haas; N T N Lan; T N Buu; C Sola; F G J Cobelens; D van Soolingen
Journal:  Int J Tuberc Lung Dis       Date:  2013-11       Impact factor: 2.373

3.  Performance of the new automated Abbott RealTime MTB assay for rapid detection of Mycobacterium tuberculosis complex in respiratory specimens.

Authors:  J H K Chen; K K K She; T-C Kwong; O-Y Wong; G K H Siu; C-C Leung; K-C Chang; C-M Tam; P-L Ho; V C C Cheng; K-Y Yuen; W-C Yam
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2015-06-13       Impact factor: 3.267

4.  The Abbott RealTime MTB assay and the Cepheid GeneXpert assay show comparable performance for the detection of Mycobacterium tuberculosis in sputum specimens.

Authors:  Sheng Fen Wang; Xi Chao Ou; Qiang Li; Hui Wen Zheng; Yu Feng Wang; Yan Lin Zhao
Journal:  Int J Infect Dis       Date:  2016-03-03       Impact factor: 3.623

5.  Global isoniazid resistance patterns in rifampin-resistant and rifampin-susceptible tuberculosis.

Authors:  S E Smith; E V Kurbatova; J S Cavanaugh; J P Cegielski
Journal:  Int J Tuberc Lung Dis       Date:  2012-02       Impact factor: 2.373

6.  Multicenter Evaluation of Anyplex Plus MTB/NTM MDR-TB Assay for Rapid Detection of Mycobacterium tuberculosis Complex and Multidrug-Resistant Isolates in Pulmonary and Extrapulmonary Specimens.

Authors:  Michela Sali; Flavio De Maio; Francesca Caccuri; Federica Campilongo; Maurizio Sanguinetti; Simona Fiorentini; Giovanni Delogu; Cinzia Giagulli
Journal:  J Clin Microbiol       Date:  2015-10-21       Impact factor: 5.948

7.  Comparison of the Xpert MTB/RIF and Cobas TaqMan MTB assays for detection of Mycobacterium tuberculosis in respiratory specimens.

Authors:  Kyung Sun Park; Ji-Youn Kim; Jung Wha Lee; Yu-Yean Hwang; Kyeongman Jeon; Won-Jung Koh; Chang-Seok Ki; Nam Yong Lee
Journal:  J Clin Microbiol       Date:  2013-07-17       Impact factor: 5.948

8.  Costs of inpatient treatment for multi-drug-resistant tuberculosis in South Africa.

Authors:  Kathryn Schnippel; Sydney Rosen; Kate Shearer; Neil Martinson; Lawrence Long; Ian Sanne; Ebrahim Variava
Journal:  Trop Med Int Health       Date:  2012-11-21       Impact factor: 2.622

9.  Evaluating the Diagnostic Accuracy of Xpert MTB/RIF Assay in Pulmonary Tuberculosis.

Authors:  Surendra K Sharma; Mikashmi Kohli; Raj Narayan Yadav; Jigyasa Chaubey; Dinkar Bhasin; Vishnubhatla Sreenivas; Rohini Sharma; Binit K Singh
Journal:  PLoS One       Date:  2015-10-23       Impact factor: 3.240

10.  Evolution and transmission of drug-resistant tuberculosis in a Russian population.

Authors:  Nicola Casali; Vladyslav Nikolayevskyy; Yanina Balabanova; Simon R Harris; Olga Ignatyeva; Irina Kontsevaya; Jukka Corander; Josephine Bryant; Julian Parkhill; Sergey Nejentsev; Rolf D Horstmann; Timothy Brown; Francis Drobniewski
Journal:  Nat Genet       Date:  2014-01-26       Impact factor: 38.330

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  15 in total

1.  Performance of the Roche cobas MTB Assay for the Molecular Diagnosis of Pulmonary Tuberculosis in a High HIV Burden Setting.

Authors:  Lesley Scott; Anura David; Lyndel Govender; Jan Furrer; Modiehi Rakgokong; Ziyaad Waja; Neil Martinson; Gabriel Eisenberg; Elizabeth Marlowe; Wendy Stevens
Journal:  J Mol Diagn       Date:  2020-08-01       Impact factor: 5.568

2.  Performance of the Abbott RealTime MTB and MTB RIF/INH Assays in a Setting of High Tuberculosis and HIV Coinfection in South Africa.

Authors:  Lesley Scott; Anura David; Lara Noble; Matilda Nduna; Pedro Da Silva; Andrew Black; Francois Venter; Wendy Stevens
Journal:  J Clin Microbiol       Date:  2017-06-07       Impact factor: 5.948

Review 3.  Diagnosis of opportunistic infections: HIV co-infections - tuberculosis.

Authors:  Lesley Scott; Pedro da Silva; Catharina C Boehme; Wendy Stevens; Christopher M Gilpin
Journal:  Curr Opin HIV AIDS       Date:  2017-03       Impact factor: 4.283

4.  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

5.  Performance of a Highly Sensitive Mycobacterium tuberculosis Complex Real-Time PCR Assay for Diagnosis of Pulmonary Tuberculosis in a Low-Prevalence Setting: a Prospective Intervention Study.

Authors:  Víctor Vinuesa; Rafael Borrás; María Luisa Briones; María Ángeles Clari; Vicenta Cresencio; Estela Giménez; Carmen Muñoz; Rosa Oltra; Emilio Servera; Talia Scheelje; Carlos Tornero; David Navarro
Journal:  J Clin Microbiol       Date:  2018-04-25       Impact factor: 5.948

6.  Performance of Xpert MTB/RIF, Xpert Ultra, and Abbott RealTime MTB for Diagnosis of Pulmonary Tuberculosis in a High-HIV-Burden Setting.

Authors:  Wendy Stevens; Lesley Scott; Rebecca H Berhanu; Anura David; Pedro da Silva; Kate Shearer; Ian Sanne
Journal:  J Clin Microbiol       Date:  2018-11-27       Impact factor: 5.948

7.  Performance of the Abbott RealTime MTB and RIF/INH resistance assays for the detection of Mycobacterium Tuberculosis and resistance markers in sputum specimens.

Authors:  Bezalem Tesfaye Araya; Kirubel Eshetu Ali; Dereje Assefa Geleta; Saba Gebremichael Tekele; Kassu Desta Tulu
Journal:  PLoS One       Date:  2021-05-12       Impact factor: 3.240

8.  Evaluation of a new automated Abbott RealTime MTB RIF/INH assay for qualitative detection of rifampicin/isoniazid resistance in pulmonary and extra-pulmonary clinical samples of Mycobacterium tuberculosis.

Authors:  Pilar Ruiz; Manuel Causse; Manuel Vaquero; Juan Bautista Gutierrez; Manuel Casal
Journal:  Infect Drug Resist       Date:  2017-12-06       Impact factor: 4.003

9.  Performance of the Abbott RealTime MTB RIF/INH resistance assay when used to test Mycobacterium tuberculosis specimens from Bangladesh.

Authors:  Joshua Kostera; Gregor Leckie; Klara Abravaya; Hong Wang
Journal:  Infect Drug Resist       Date:  2018-05-11       Impact factor: 4.003

Review 10.  Effectiveness of real-time polymerase chain reaction assay for the detection of Mycobacterium tuberculosis in pathological samples: a systematic review and meta-analysis.

Authors:  Emmanuel O Babafemi; Benny P Cherian; Lee Banting; Graham A Mills; Kandala Ngianga
Journal:  Syst Rev       Date:  2017-10-25
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