Literature DB >> 34627496

Detection of isoniazid, fluoroquinolone, ethionamide, amikacin, kanamycin, and capreomycin resistance by the Xpert MTB/XDR assay: a cross-sectional multicentre diagnostic accuracy study.

Adam Penn-Nicholson1, Sophia B Georghiou2, Nelly Ciobanu3, Mubin Kazi4, Manpreet Bhalla5, Anura David6, Francesca Conradie6, Morten Ruhwald2, Valeriu Crudu3, Camilla Rodrigues4, Vithal Prasad Myneedu5, Lesley Scott6, Claudia M Denkinger7, Samuel G Schumacher2.   

Abstract

BACKGROUND: The WHO End TB Strategy requires drug susceptibility testing and treatment of all people with tuberculosis, but second-line diagnostic testing with line-probe assays needs to be done in experienced laboratories with advanced infrastructure. Fewer than half of people with drug-resistant tuberculosis receive appropriate treatment. We assessed the diagnostic accuracy of the rapid Xpert MTB/XDR automated molecular assay (Cepheid, Sunnyvale, CA, USA) to overcome these limitations.
METHODS: We did a prospective study involving individuals presenting with pulmonary tuberculosis symptoms and at least one risk factor for drug resistance in four sites in India (New Delhi and Mumbai), Moldova, and South Africa between July 31, 2019, and March 21, 2020. The Xpert MTB/XDR assay was used as a reflex test to detect resistance to isoniazid, fluoroquinolones, ethionamide, amikacin, kanamycin, and capreomycin in adults with positive results for Mycobacterium tuberculosis complex on Xpert MTB/RIF or Ultra (Cepheid). Diagnostic performance was assessed against a composite reference standard of phenotypic drug-susceptibility testing and whole-genome sequencing. This study is registered with ClinicalTrials.gov, number NCT03728725.
FINDINGS: Of 710 participants, 611 (86%) had results from both Xpert MTB/XDR and the reference standard for any drug and were included in analysis. Sensitivity for Xpert MTB/XDR detection of resistance was 94% (460 of 488, 95% CI 92-96) for isoniazid, 94% (222 of 235, 90-96%) for fluoroquinolones, 54% (178 of 328, 50-61) for ethionamide, 73% (60 of 82, 62-81) for amikacin, 86% (181 of 210, 81-91) for kanamycin, and 61% (53 of 87, 49-70) for capreomycin. Specificity was 98-100% for all drugs. Performance was equivalent to that of line-probe assays. The non-determinate rate of Xpert MTB/XDR (ie, invalid M tuberculosis complex detection) was 2·96%.
INTERPRETATION: The Xpert MTB/XDR assay showed high diagnostic accuracy and met WHO's minimum target product profile criteria for a next-generation drug susceptibility test. The assay has the potential to diagnose drug-resistant tuberculosis rapidly and accurately and enable optimum treatment. FUNDING: German Federal Ministry of Education and Research through KfW, Dutch Ministry of Foreign Affairs, and Australian Department of Foreign Affairs and Trade.
Copyright © 2022 Elsevier Ltd. All rights reserved.

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Year:  2021        PMID: 34627496     DOI: 10.1016/S1473-3099(21)00452-7

Source DB:  PubMed          Journal:  Lancet Infect Dis        ISSN: 1473-3099            Impact factor:   25.071


  9 in total

Review 1.  Xpert MTB/XDR for detection of pulmonary tuberculosis and resistance to isoniazid, fluoroquinolones, ethionamide, and amikacin.

Authors:  Samantha Pillay; Karen R Steingart; Geraint R Davies; Marty Chaplin; Margaretha De Vos; Samuel G Schumacher; Rob Warren; Grant Theron
Journal:  Cochrane Database Syst Rev       Date:  2022-05-18

2.  Clinical standards for drug-susceptible pulmonary TB.

Authors:  O W Akkerman; R Duarte; S Tiberi; H S Schaaf; C Lange; J W C Alffenaar; J Denholm; A C C Carvalho; M S Bolhuis; S Borisov; J Bruchfeld; A M Cabibbe; J A Caminero; I Carvalho; J Chakaya; R Centis; M P Dalcomo; L D Ambrosio; M Dedicoat; K Dheda; K E Dooley; J Furin; J-M García-García; N A H van Hest; B C de Jong; X Kurhasani; A G Märtson; S Mpagama; M Munoz Torrico; E Nunes; C W M Ong; D J Palmero; R Ruslami; A M I Saktiawati; C Semuto; D R Silva; R Singla; I Solovic; S Srivastava; J E M de Steenwinkel; A Story; M G G Sturkenboom; M Tadolini; Z F Udwadia; A R Verhage; J P Zellweger; G B Migliori
Journal:  Int J Tuberc Lung Dis       Date:  2022-07-01       Impact factor: 3.427

3.  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

4.  Use of Whole-Genome Sequencing to Predict Mycobacterium tuberculosis Complex Drug Resistance from Early Positive Liquid Cultures.

Authors:  Xiaocui Wu; Guangkun Tan; Wei Sha; Haican Liu; Jinghui Yang; Yinjuan Guo; Xin Shen; Zheyuan Wu; Hongbo Shen; Fangyou Yu
Journal:  Microbiol Spectr       Date:  2022-03-21

5.  Application of Amplicon-Based Targeted NGS Technology for Diagnosis of Drug-Resistant Tuberculosis Using FFPE Specimens.

Authors:  Jing Song; Weili Du; Zichen Liu; Jialu Che; Kun Li; Nanying Che
Journal:  Microbiol Spectr       Date:  2022-02-09

Review 6.  Diagnosis and treatment of tuberculosis in adults with HIV.

Authors:  Qiaoli Yang; Jinjin Han; Jingjing Shen; Xinsen Peng; Lurong Zhou; Xuejing Yin
Journal:  Medicine (Baltimore)       Date:  2022-09-02       Impact factor: 1.817

Review 7.  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

8.  Predicting resistance to fluoroquinolones among patients with rifampicin-resistant tuberculosis using machine learning methods.

Authors:  Shiying You; Melanie H Chitwood; Kenneth S Gunasekera; Valeriu Crudu; Alexandru Codreanu; Nelly Ciobanu; Jennifer Furin; Ted Cohen; Joshua L Warren; Reza Yaesoubi
Journal:  PLOS Digit Health       Date:  2022-06-30

Review 9.  Mycobacterium tuberculosis functional genetic diversity, altered drug sensitivity, and precision medicine.

Authors:  Sydney Stanley; Qingyun Liu; Sarah M Fortune
Journal:  Front Cell Infect Microbiol       Date:  2022-10-03       Impact factor: 6.073

  9 in total

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