TB Research

Effect of the Xpert MTB/RIF on the detection of pulmonary tuberculosis cases and rifampicin resistance in Shanghai, China

Wu Z, Rueda ZV, Li T, Zhang Z, Jiang Y, Sha W, Yu F, Chen J, et al. (11 authors)

BMC infectious diseases · 2020-02

Abstract

Background Xpert MTB/RIF (Xpert) is an automated molecular test recommended by World Health Organization (WHO) for diagnosis of tuberculosis (TB). This study evaluated the effect of Xpert implementation on the detection of pulmonary TB (PTB) and rifampicin-resistant TB (RR-TB) cases in Shanghai, China. Methods Xpert was routinely implemented in 2018 for all presumptive PTB patients. All PTB patients above 15 years-old identified within the Provincial TB Control Program during the first half of each of 2017 and 2018, were enrolled to compare the difference in proportions of bacteriological confirmation, patients with drug susceptibility test (DST) results for rifampicin (ie, DST coverage) and RR-TB detection before and after Xpert's implementation. Results A total of 6047 PTB patients were included in the analysis with 1691 tested by Xpert in 2018. Percentages of bacteriological confirmation, DST coverage and RR-TB detection in 2017 and 2018 were 50% vs. 59%, 36% vs. 49% and 2% vs. 3%, respectively (all p-values Conclusions Integrating Xpert with smear, culture and culture-based DST in a routine setting significantly increased bacteriological confirmation, DST coverage and RR-TB detection with a dramatic reduction in the time to RR-TB diagnosis in Shanghai, China. Our findings can be useful for other regions that attempt to integrate Xpert into routine PTB and RR-TB case-finding cascade. Further study should focus on the identification and elimination of operational level challenges to fully utilize the benefit of rapid diagnosis by Xpert.

MeSH terms

  • Sputum
  • Humans
  • Mycobacterium tuberculosis
  • Tuberculosis, Pulmonary
  • Rifampin
  • Antitubercular Agents
  • Bacteriological Techniques
  • Microbial Sensitivity Tests
  • Sensitivity and Specificity
  • Cross-Sectional Studies
  • Drug Resistance, Bacterial
  • Adult
  • Middle Aged
  • China
  • Female
  • Male