摘要
Abstract
Objective To analyze the distribution,drug resistance characteristics,and departmental clustering of common clinical pathogens in Longyan Traditional Chinese Medicine Hospital from 2022 to 2024,providing a basis for precision medication and infection prevention and control.Method From January 2022 to December 2024,2072 clinical microbiological specimens were collected from Longyan Traditional Chinese Medicine Hospital.The strains were identified by standardized isolation and culture,DL-96A system,and drug sensitivity tests were conducted according to CLSI standards.SPSS 26.0 was used for statistical analysis of the data.Result Among the 2072 isolated pathogenic bacteria,Gram negative bacteria accounted for 87.98%,with Pseudomonas aeruginosa,Escherichia coli,and Klebsiella pneumoniae being the dominant bacteria;Gram positive bacteria account for 12.02%,mainly Staphylococcus aureus.The detection rate of Acinetobacter baumannii has increased year by year to 8.62%,while that of Klebsiella pneumoniae has decreased to 2.44%.In terms of drug resistance,Pseudomonas aeruginosa has the lowest resistance rate to amikacin and the highest resistance rate to levofloxacin;Acinetobacter baumannii is highly resistant to all tested drugs;Staphylococcus aureus has the lowest resistance rate to amikacin and the highest resistance rate to amoxicillin/clavulanic acid.In the distribution of departments,Pseudomonas aeruginosa and Klebsiella pneumoniae are concentrated in the Rehabilitation Department and Intensive Care Medicine Department,while Acinetobacter baumannii is concentrated in the Intensive Care Medicine Department.Conclusion Clinical infections in hospitals are mainly caused by gram-negative bacteria,with an increasing proportion of Acinetobacter baumannii and prominent issues of multidrug resistance.It is necessary to optimize the use of antibiotics based on the characteristics of pathogenic bacteria and strengthen infection prevention and control in key departments.关键词
病原菌/耐药特征/革兰氏阴性菌/药敏试验Key words
pathogenic bacteria/Drug resistance characteristics/Gram negative bacteria/Antimicrobial susceptibility testing分类
医药卫生
