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Distribution and drug resistance analysis of clinically isolated pathogenic bacteria in a tertiary hospital from 2018 to 2020

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DOI: 10.23977/medsc.2022.030214 | Downloads: 7 | Views: 633

Author(s)

Can Li 1, Ruilin Guo 2

Affiliation(s)

1 Shaanxi University of Chinese Medicine, College of Medical Technology, Xianyang 712000, China
2 The Second Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China

Corresponding Author

Ruilin Guo

ABSTRACT

Objective: To investigate the distribution and drug resistance of clinically isolated pathogens in the Second Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine during 2018-2020, so as to provide reference for rational clinical use of antimicrobial agents. Methods: Biological bacteria identification/susceptibility analysis system and the time of flight mass spectrometer identification of bacteria, with reference to the clinical laboratory standardization committee interpretation standard drug susceptibility of 2020 results, application of disc diffusion method (K-B) bacteriostatic circle diameter, the measurement of antimicrobial agents susceptibility results interpretation, WHONET5.6 statistical analysis software in our separation rate of bacteria and drug resistance. Results: In 3 years, a total of 3586 strains of pathogenic bacteria were detected (excluding the duplicative strains from the same site in the same patient), 1582 strains of Gram-positive bacteria (44.1%), 1542 strains of Gram-negative bacteria (43.0%), and 462 strains of fungi (12.9%). Gram-negative bacteria were mainly Escherichia coli (547 strains,35.5%) and Klebsiella pneumoniae (256 strains,16.6%). ESBLs producing bacteria of Escherichia coli accounted for 60.0%, and acid producing Klebsiella of producing ESBLs (40.7%) was higher than klebsiella pneumoniae (29.3%). The detection rate of carbapenem-resistant acid-producing Klebsiella (5.5%) was higher than that of Klebsiella pneumoniae (2.3%) and Escherichia coli (0.5%). Gram-negative bacteria were dominated by Pseudomonas aeruginosa (102 strains,6.7%) and Acinetobacter baumannii (51 strains,3.3%). The drug resistance rate of Pseudomonas aeruginosa was lower than 35%, while the drug resistance rate of Acinetobacter baumannii to ceftazidime was more than 80%. Coagulase-negative staphylococcus (831 strains,52.5%) and Staphylococcus aureus (348 strains,22.0%) were isolated from gram-positive bacteria. The detection rate of coagulase-negative staphylococcus was greatly increased. Methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-resistant Coagulase-negative Staphylococcus (MRCNS) of were 33.3% and 62.1%, respectively. Conclusion: Our hospital should pay more attention to the detection of bacterial drug resistance so as to provide valuable drug sensitivity results for clinical practice.

KEYWORDS

Pathogenic bacteria, Antimicrobial agent, Distribution characteristics, drug resistance rate

CITE THIS PAPER

Can Li, Ruilin Guo, Distribution and drug resistance analysis of clinically isolated pathogenic bacteria in a tertiary hospital from 2018 to 2020. MEDS Clinical Medicine (2022) Vol. 3: 81-87. DOI: http://dx.doi.org/10.23977/medsc.2022.030214.

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