Literature DB >> 25382330

Evaluation of the Xpert MTB/RIF assay for diagnosis of tuberculosis and rifampin resistance in county-level laboratories in Hunan province, China.

Peilei Hu1, Liqiong Bai1, Fengping Liu1, Xichao Ou2, Zhiying Zhang3, Songlin Yi1, Zhongnan Chen1, Daofang Gong1, Binbin Liu1, Jingwei Guo1, Yunhong Tan4.   

Abstract

BACKGROUND: The Xpert MTB/RIF showed high sensitivity and specificity in previous studies carried out in different epidemiological and geographical settings and patient populations in high-burden tuberculosis (TB) countries. However, there were little data obtained by validation or demonstration study of the assay in China. In this study, the performance of Xpert MTB/RIF was investigated in two county-level laboratories in Hunan Province, China.
METHODS: Consecutive patients with suspected pulmonary tuberculosis (PTB) and suspicion for multidrug-resistant tuberculosis (MDR-TB) were enrolled. For each patient suspected to have PTB, three sputum specimens (one spot sputum, one night sputum, and one morning sputum) were collected and each sputum was tested with smear microscopy, Löwenstein-Jensen (LJ) culture, and Xpert MTB/RIF test. For comparison across subgroups and testing methods, 95% confidence intervals were calculated. All analyses were done with SPSS 16.0, and P < 0.05 was regarded as significant.
RESULTS: For case detection, the sensitivity of Xpert MTB/RIF was 100% for smear- and culture-positive TB and 88.6% for smear-negative and culture-positive TB; the overall sensitivity was 94.5% for all culture-positive patients. The specificity was 99.8%. The sensitivity of Xpert MTB/RIF assay was 22.0% in clinical TB patients and the specificity reached 100.0% in the group of patients who are infected with nontuberculous mycobacteria. For the detection of rifampin resistance, the sensitivity of MTB/RIF RIF-resistance detection was 92.9%, and the specificity was 98.7%. Of the 26 Xpert MTB/RIF-positive and RIF-resistant patients confirmed by LJ proportion tests, 20 (76.9%) patients were infected by MDR-TB.
CONCLUSIONS: The Xpert MTB/RIF assay is a highly sensitive and specific method for diagnosis of TB and RIF resistance, which will enable it to have the potential to be used in county-level laboratories and lead to the reduction of the infectious pool and improvements in TB control in China. Further evaluations in county-level laboratories for implementing the assay are still required.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25382330

Source DB:  PubMed          Journal:  Chin Med J (Engl)        ISSN: 0366-6999            Impact factor:   2.628


  5 in total

1.  Xpert MTB/RIF and Xpert MTB/RIF Ultra for pulmonary tuberculosis and rifampicin resistance in adults.

Authors:  David J Horne; Mikashmi Kohli; Jerry S Zifodya; Ian Schiller; Nandini Dendukuri; Deanna Tollefson; Samuel G Schumacher; Eleanor A Ochodo; Madhukar Pai; Karen R Steingart
Journal:  Cochrane Database Syst Rev       Date:  2019-06-07

2.  Diagnostic values of the QuantiFERON-TB Gold In-tube assay carried out in China for diagnosing pulmonary tuberculosis.

Authors:  Hui Xia; Xiaomen Wang; Fabin Li; Christophe Longuet; Guy Vernet; Delia Goletti; Yanlin Zhao; Philippe H Lagrange
Journal:  PLoS One       Date:  2015-04-13       Impact factor: 3.240

Review 3.  Understanding nontuberculous mycobacterial lung disease: it's been a long time coming.

Authors:  David E Griffith; Timothy R Aksamit
Journal:  F1000Res       Date:  2016-11-30

4.  Evaluating a framework for tuberculosis screening among healthcare workers in clinical settings, Inner Mongolia, China.

Authors:  Shiming Cheng; Deanna Tollefson; Guangxue He; Yuan Li; Hui Guo; Shua Chai; Fangfang Gao; Fei Gao; Guoxin Han; Liping Ren; Yulin Ren; Jianbo Li; Lixia Wang; Jay K Varma; Dongmei Hu; Haiying Fan; Fei Zhao; Emily Bloss; Yu Wang; Carol Y Rao
Journal:  J Occup Med Toxicol       Date:  2018-03-20       Impact factor: 2.646

Review 5.  Xpert MTB/RIF assay for the diagnosis of rifampicin resistance in different regions: a meta-analysis.

Authors:  Kaican Zong; Chen Luo; Hui Zhou; Yangzhi Jiang; Shiying Li
Journal:  BMC Microbiol       Date:  2019-08-05       Impact factor: 3.605

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.