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Chinese Journal of Antituberculosis ›› 2019, Vol. 41 ›› Issue (11): 1179-1183.doi: 10.3969/j.issn.1000-6621.2019.11.007

• Original Articles • Previous Articles     Next Articles

Analysis of identification results of 106 strains of non-tuberculous mycobacteria in Shaoxing area in 2017

JIN Fa-xiang(),TAO Xue-fang,WANG Hua-jun,XU Wen-fang,CHEN Xue-fang   

  1. Department of Clincal Laboratory, Affiliated Hospital of Shaoxing College of Arts and Sciences, Zhejiang Province, Shaoxing 312000, China
  • Received:2019-09-21 Online:2019-11-10 Published:2019-12-05

Abstract:

Objective Analyze the prevalence of non-tuberculous mycobacteria (NTM) in Shaoxing and provide a scientific basis for NTM diagnosis and treatment.Methods In the Shaoxing area, 972 strains of mycobacteria were isolated in 2017, and the preliminary strain identification of Mycobacterium tuberculosis complex and NTM was carried out by using the colloidal gold method of Mycobacterium tuberculosis antigen detection. 106 strains were NTM, accounting for mycobacterial culture-positive strains 10.91% (106/972), for the initial identification of NTM strains using DNA microarray method for NTM strain identification.Results One hundred and six strains of NTM were identified by DNA microarray method. There were 14 species of bacteria. The top 3 strains were 55 strains of Mycobacteria intracellulare (51.89%), 19 strains of Mycobacterium avium (17.92%) and 13 strains of Mycobacterium kansasii (12.26%). The remaining ones were: 4 strains of Mycobacteria chelonae-abscessus (3.77%), 3 strains of Mycobacterium scrofulaceum (2.83%), 3 strains of Mycobacterium gordonae (2.83%), and 2 strains of Mycobacterium terrae (1.89%), the other 7 strains (6.60%).Conclusion In 2017, the clinical isolation rate of NTM in Shaoxing accounted for 10.91% of the positive strains of mycobacterial culture, and there were many NTM species. Mycobacterium intracellulare, Mycobacterium avium and Mycobacterium kansasii were the main epidemic strains of NTM in Shaoxing.

Key words: Mycobacteria, atypical, Bacterial typing techniques, Microchip analytical procedures, Small-area analysis