4.7 Article

Rapid and effective diagnosis of tuberculosis and rifampicin resistance with Xpert MTB/RIF assay: A meta-analysis

期刊

JOURNAL OF INFECTION
卷 64, 期 6, 页码 580-588

出版社

W B SAUNDERS CO LTD
DOI: 10.1016/j.jinf.2012.02.012

关键词

Xpert MTB/RIF assay; Tuberculosis; Rifampicin resistance; Meta-analysis

资金

  1. Major Project Chinese National Programs for High Technology Research and Development (863 Program) [2007AA02Z416]
  2. Chinese National Natural Science Foundation [81071428, 30400107]
  3. National Infectious Disease Prevention and Cure Special Project [2008ZX10003-012]

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Objectives: Xpert MTB/RIF (Cepheid) assay has been introduced for the diagnosis of tuberculosis (TB) and RIF-resistance. The meta-analysis was used to establish the overall accuracy of Xpert MTB/RIF assay for diagnosing TB and RIF-resistance. Methods: Based on comprehensive searches of the Pubmed and Embase, we identified outcome data from all articles estimating diagnostic accuracy with Xpert MTB/RIF assay. A summary estimation for sensitivity, specificity, diagnostic odds ratios (DOR) and the area under the summary ROC curve (AUC) was calculated by using the bivariate random-effects approach. Results: The meta-analysis included 18 studies (10,224 suspected specimens). The summary estimate was 90.4% (95%CI 89.2%-91.4%) for sensitivity, 98.4% (95%CI 98.0%-98.7%) for specificity and 328.3/0.9822 for DOR/AUC in pulmonary tuberculosis (PTB). The sensitivity, specificity and DOR/AUC of detecting RIF-resistance were 94.1%, 97.0% and 177.8/0.9832, respectively. For extrapulmonary tuberculosis, the overall pooled sensitivity was 80.4% and specificity was 86.1%. The findings in subgroup analysis were as follows: the accuracy of Xpert MTB/RIF assay is higher in smear-positive specimens and the sensitivity of diagnosing PTB in adults was higher than that in children (90.8% versus 74.3%). Conclusions: TB and RIF-resistance can be rapidly and effectively diagnosed with Xpert MTB/RIF assay. (c) 2012 The British Infection Association. Published by Elsevier Ltd. All rights reserved.

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