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Chinese Journal of Clinical Laboratory Management(Electronic Edition) ›› 2020, Vol. 08 ›› Issue (03): 170-174. doi: 10.3877/cma.j.issn.2095-5820.2020.03.009

Special Issue:

• Clinical Research • Previous Articles     Next Articles

Identification of 75 cases of nontuberculous mycobacteria and analysis of drug sensitivity results in Kunming

Hongwei Liu1, Xiaofei Li1,(), Junhua Su1, Shaoli Qian1, Jianrui Zhang1, Jue Pu1   

  1. 1. Kunming's Third People Hospital, Kunming 650000, China
  • Received:2020-01-10 Online:2020-08-28 Published:2020-08-28
  • Contact: Xiaofei Li
  • About author:
    Corresponding author: Li Xiaofei, Email:

Abstract:

Objective

To investigate the classification of 75 strains of non-TB mycobacteria isolated and identified in Kunming, and analyze the resistance of different types of non-TB mycobacteria to antibiotics, which provide a better basis for clinical differentiation and treatment.

Methods

Select patients admitted to the hospital from January 2017 to September 2019 in Kunming area. Sputum samples were collected and cultured by BD960 and Roche. The positive samples were detected by drug sensitivity test technique using Zhuhai silver 96-hole non-tuberculosis microporous plate. The drug sensitivity was judged according to the growth results of each drug-containing hole and the control hole.

Results

The main non-TB mycobacteria isolated from the infected patients in Kunming were mainly bacillus (44 strains), followed by mycobacteria abscess (13 strains), intracellular mycobacteria (10 strains) and mycobacteria tortoise (8 strains). Of which male-dominated (67%), the proportion of patients aged 40 to 60 was as high as 56%, and the infection system was 52.6% lung infection. The drug with the highest rates of drug resistance were amine/sis, dosicycline, sulfonamide metformin and cephalosporin.

Conclusions

The main strains of non-TB mycobacteria in Kunming were bird mycobacteria, mainly found in patients with pulmonary infection. Different kinds of non-TB mycobacteria are different in their resistance to antibiotics, so it is more necessary to closely monitor the drug resistance and better guide the clinical use.

Key words: Non-TB mycobacteria, Identification, Drug-resistance, Antituberculotic drugs

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