Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/75803
Title: Direct detection of mycobacterium tuberculosis and drug resistance in respiratory specimen using abbott realtime MTB detection and RIF/INH resistance assay
Authors: Tam, KKG
Leung, KSS
To, SWC
Siu, GKH 
Lau, TCK
Shek, VCM
Tse, CWS
Wong, SSY
Ho, PL
Yam, WC
Keywords: Mycobacteriology
Mycobacterium tuberculosis
Direct detection
Respiratory specimen
Multidrug-resistant tuberculosis
Issue Date: 2017
Publisher: Academic Press
Source: Diagnostic microbiology and infectious disease, 2017, v. 89, no. 2, p. 118-124 How to cite?
Journal: Diagnostic microbiology and infectious disease 
Abstract: Abbott RealTime MTB (Abbott-RT) in conjunction with Abbott RealTime MTB RIF/INH Resistance (Abbott-RIF/ [NH) is a new, high-throughput automated nucleic acid amplification platform (Abbott-MDR) for detection of Mycobacterium tuberculosis complex (MTBC) and the genotypic markers for rifampicin (RIF) and isoniazid (INH) resistance directly from respiratory specimens. This prospective study evaluated the diagnostic performance of this new platform for MTBC and multidrug-resistant tuberculosis (MDR-TB) using 610 sputum specimens in a tuberculosis high-burden setting. Using conventional culture results and clinical background as reference standards, Abbott-RT exhibited an overall sensitivity and specificity of 95.2% and 99.8%, respectively. Genotypic RIF/INH resistance of 178 "MTB detected" specimens was subsequently analyzed by Abbott-RIF/ INH. Compared to phenotypic drug susceptibility test results, Abbott-RIF/INH detected resistance genotypic markers in 84.6% MDR-TB, 80% mono-RIF-resistant and 66.7% mono-INH-resistant specimens. Two of the RIF-resistant specimens carried a novel single, nonsense mutation at rpoB Q513 and in silico simulation demonstrated that the truncated RpoB protein failed to bind with other subunits for transcription. Overall, Abbott-MDR platform provided high throughput and reliable diagnosis of MDR-TB within a TB high-burden region.
URI: http://hdl.handle.net/10397/75803
ISSN: 0732-8893
EISSN: 1879-0070
DOI: 10.1016/j.diagmicrobio.2017.06.018
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