An Analysis of Clinical Distributions and Resistances of Common,Special,and Important Multidrug-resistant Bacteria in a Traditional Chinese Medicine Hospital from 2019 to 2023
Objective To identify and evaluate the distribution and drug resistance of 6 types of multi-drug resistant bacteria in our hospital.Methods We analyzed strains isolated from Dongfang Hospital of Beijing University of Traditional Chinese Medicine from January 2019 to December 2023,and evaluated the status of six common clinically resistant bacteria.Results The detection rates of Carbapenem resistant Escherichia coli(CRECO)and Methicillin-resistant Staphylococcus aureus(MRSA)were gradually increasing;Carbapenem resistant Klebsiella pneumoniae(CRKPN)and Carbapenem resistant Pseudomonas aeruginosa(CRPA)showed a wavy downward trend;The Carbapenem resistant Acinetobacter baumannii(CRAB)fluctuated greatly;The overall detection rate of Vancomycin resistant Enterococcus(VRE)was low,and the trend of change was not significant.The six multi-drug resistant bacteria were mainly distributed in the Department of Encephalopathy,Encephalopathy Surgery,Respiratory Fever,Emergency Department,Intensive Care,and Oncology.Among specimen sources,sputum specimens were the primary samples for CRKPN,CRPA,CRAB and MRSA,while urine specimens were the primary samples for CRECO and VRE.In terms of gender,CRKPN,CRPA,CRAB,and MRSA had more males than females,while CRECO and VRE showed the opposite trend;The age distribution of six drug-resistant bacteria was mainly in elderly patients over 60 years old;In terms of seasonal distribution,CRKPN,CRPA,and VRE had the highest proportion in winter,CRAB had the highest proportion in summer,and CRECO and MRSA had the highest proportion in autumn.CRECO,CRKPN,and CRAB all had high resistance rates to multiple antibiotics.Conclusion We should strengthen the monitoring of multidrug-resistant bacteria,leverage the advantages of traditional Chinese medicine,so as to delay the occurrence of bacterial resistance.
Traditional Chinese medicine hospitalMulti-drug resistant bacteriaClinical distributionDrug resistance
NETL
NSTL
万方数据
