Literature DB >> 32339719

Prediction of treatment outcomes for multidrug-resistant tuberculosis by whole-genome sequencing.

Guiqing He1, Yang Li1, Xinchang Chen1, Jiazhen Chen1, Wenhong Zhang2.   

Abstract

BACKGROUND: Whole-genome sequencing (WGS) has been proposed to be a powerful tool to predict drug resistance for antitubercular drugs. However, the feasibility of WGS in predicting final treatment outcomes for multidrug-resistant tuberculosis (MDR-TB) patients remains unclear PATIENTS AND METHODS: In this prospective observational study conducted from January 2014 to September 2016, MDR-TB patients were enrolled consecutively. Genotypic drug sensitivity testing was performed via WGS using culture isolates. Patients were followed for two years to determine the treatment outcomes. Multivariate analysis was used to identify the association between information provided by WGS and the final treatment outcomes
RESULTS: A total of 123 patients with MDR-TB were included in this study. The overall favorable treatment outcome rate was 60.2%. Multivariate analysis showed that independent risk factors associated with unfavorable treatment outcome including high-level moxifloxacin phenotypic resistance (OR, 4.362; 95%CI, 1.364-13.950; p=0.013), cycloserine phenotypic resistance (OR, 7.457; 95%CI, 1.644-33.819; p=0.009), mutations causing high-level fluoroquinolones resistance (OR, 3.947; 95%CI, 1.195-13.034; p=0.024), and ethA mutation (OR, 3.817; 95% CI, 1.154-12.823; p=0.028). WGS costs for each patient are ¥450 ($63), and the average turnaround time was one week
CONCLUSIONS: In summary, WGS showed promising feasibility in predicting treatment outcomes for MDR-TB patients within a clinically relevant time frame.
Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Multidrug-resistant tuberculosis; Treatment outcome; Whole-genome sequencing

Mesh:

Substances:

Year:  2020        PMID: 32339719     DOI: 10.1016/j.ijid.2020.04.043

Source DB:  PubMed          Journal:  Int J Infect Dis        ISSN: 1201-9712            Impact factor:   3.623


  3 in total

1.  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

2.  Refining MDR-TB treatment regimens for ultra short therapy (TB-TRUST): study protocol for a randomized controlled trial.

Authors:  Taoping Weng; Feng Sun; Yang Li; Jiazhen Chen; Xinchang Chen; Rong Li; Shijia Ge; Yanlin Zhao; Wenhong Zhang
Journal:  BMC Infect Dis       Date:  2021-02-17       Impact factor: 3.090

3.  A university-clustered tuberculosis outbreak during the COVID-19 pandemic in eastern China.

Authors:  Jizhou Wu; Limei Zhu; Jiaxi Yu; Qiao Liu; Xiaoyan Ding; Peng Lu; Yunliang Wu; Jiansheng Sun; Leonardo Martinez; Wei Lu; Jianming Wang
Journal:  Front Public Health       Date:  2022-08-23
  3 in total

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