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诊断算法改变的结果是非结核分枝杆菌分离率加倍
Authors Chen S, Wang F, Xue Y, Huo F, Jia J, Dong L, Zhao L, Jiang G, Huang H
Received 4 April 2022
Accepted for publication 16 June 2022
Published 27 June 2022 Volume 2022:15 Pages 3347—3355
DOI https://doi.org/10.2147/IDR.S368671
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Professor Suresh Antony
Background: Nontuberculous mycobacteria (NTM) and their associated diseases remain neglected. Through minor modifications in our diagnostic algorithm, we observed an unexpected higher number of cultivable NTM isolates. Therefore, a retrospective study was performed thoroughly to investigate the effect of changed laboratory procedures on NTM isolation in a specialized tuberculosis hospital.
Methods: NTM isolation rates and composition of NTM species were compared for the two diagnostic algorithms: (1) by using traditional p -nitrobenzoic acid (PNB) selective medium as a preliminary test to identify NTM isolates among the positive cultures (procedure I) and (2) by using the MPT64 antigen detection method to distinguish between Mycobacterium tuberculosis complex (MTBC) isolates and possible NTM isolates after a positive MGIT960 liquid culture (procedure II).
Results: The NTM isolation rate in procedure II was significantly higher than the procedure I (18.08% vs 9.71%; P< 0.001). A noticeable increase in the ratio of NTM isolates among the identified mycobacteria was observed over the studied years (ie, from 58.18% in 2019 to 72.93% in 2021), which indicated a more precise prescription of species identification test after prompt information was provided in procedure II. In addition, the consistency of the identified species using multiple specimens from the same patient did not present a significant difference between the procedures.
Conclusion: According to our study, NTM infection might be far more underestimated than it is. A diagnostic procedure combining MGIT960 culture and MPT64 antigen detection could timely and easily identify clues of NTM isolates and improve the diagnosis of NTM infections.
Keywords: tuberculosis, nontuberculous mycobacteria, p -nitrobenzoic acid, MPT64 antigen, species