Literature DB >> 27865383

Analytical and clinical performance characteristics of the Abbott RealTime MTB RIF/INH Resistance, an assay for the detection of rifampicin and isoniazid resistant Mycobacterium tuberculosis in pulmonary specimens.

Joshua Kostera1, Gregor Leckie2, Ning Tang3, John Lampinen4, Magdalena Szostak5, Klara Abravaya6, Hong Wang7.   

Abstract

Clinical management of drug-resistant tuberculosis patients continues to present significant challenges to global health. To tackle these challenges, the Abbott RealTime MTB RIF/INH Resistance assay was developed to accelerate the diagnosis of rifampicin and/or isoniazid resistant tuberculosis to within a day. This article summarizes the performance of the Abbott RealTime MTB RIF/INH Resistance assay; including reliability, analytical sensitivity, and clinical sensitivity/specificity as compared to Cepheid GeneXpert MTB/RIF version 1.0 and Hain MTBDRplus version 2.0. The limit of detection (LOD) of the Abbott RealTime MTB RIF/INH Resistance assay was determined to be 32 colony forming units/milliliter (cfu/mL) using the Mycobacterium tuberculosis (MTB) strain H37Rv cell line. For rifampicin resistance detection, the Abbott RealTime MTB RIF/INH Resistance assay demonstrated statistically equivalent clinical sensitivity and specificity as compared to Cepheid GeneXpert MTB/RIF. For isoniazid resistance detection, the assay demonstrated statistically equivalent clinical sensitivity and specificity as compared to Hain MTBDRplus. The performance data presented herein demonstrate that the Abbott RealTime MTB RIF/INH Resistance assay is a sensitive, robust, and reliable test for realtime simultaneous detection of first line anti-tuberculosis antibiotics rifampicin and isoniazid in patient specimens.
Copyright © 2016 The Author. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Isoniazid; Mycobacterium; Reflex; Rifampicin; Sensitivity; Specificity

Mesh:

Substances:

Year:  2016        PMID: 27865383     DOI: 10.1016/j.tube.2016.09.006

Source DB:  PubMed          Journal:  Tuberculosis (Edinb)        ISSN: 1472-9792            Impact factor:   3.131


  15 in total

1.  Non-pncA Gene-Mutated but Pyrazinamide-Resistant Mycobacterium tuberculosis: Why Is That?

Authors:  Jim Werngren; Erik Alm; Mikael Mansjö
Journal:  J Clin Microbiol       Date:  2017-04-12       Impact factor: 5.948

2.  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

3.  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 4.  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

5.  High-Throughput Variant Detection Using a Color-Mixing Strategy.

Authors:  Nina G Xie; Kerou Zhang; Ping Song; Renqiang Li; Junfeng Luo; David Y Zhang
Journal:  J Mol Diagn       Date:  2022-06-16       Impact factor: 5.341

6.  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

7.  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

8.  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

9.  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

10.  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

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