Analysis of Monitoring Results of Common Pathogenic Bacteria and Drug Resistance Data in Longyan Traditional Chinese Medicine Hospital from 2022 to 2024
Jiang Weiwei, Lan Lijia
Laboratory Department of Longyan Traditional Chinese Medicine Hospital,Fujian Longyan 364000
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.
江炜炜, 蓝丽佳. 龙岩市中医院2022~2024年常见病原菌及耐药数据监测结果分析[J]. 哈尔滨医药, 2026, 46(2): 33-36.
Jiang Weiwei, Lan Lijia. Analysis of Monitoring Results of Common Pathogenic Bacteria and Drug Resistance Data in Longyan Traditional Chinese Medicine Hospital from 2022 to 2024. journal1, 2026, 46(2): 33-36.
2026, Vol. 46 
