Analysis of Nosocomial Infection Surveillance Data in a Certain Grade A Tertiary Hospital Neurosurgery Department from 2018 to 2023
Objective:By analyzing the monitoring data of infection in a certain grade A tertiary hospital neurosurgery department,the risk of infection was identified in time to provide guidance for the scientific formulation of effective prevention and control mea-sures.Method:Patients admitted to neurosurgery from 2018 to 2023 were selected as the research objects,and the rate of nosocomial infection(cases),distributions of pathogens and sites of nosocomial infection,and detection of multiple drug-resistant bacteria were statistically analyzed.Results:A total of 21,274 patients were admitted from 2018 to 2023,and the nosocomial infection rate was 8%and the sub-infection rate was 9.76%.The rate of nosocomial infection has decreased from 15.53%in 2018 to 5.93%in 2023.In the hospital,the respiratory system is the most,accounted for 74.39%;followed by surgical site(8.43%).Compared with the trend of infec-tion sites in different years,except for respiratory system infection and central nervous system infection,which decreased(P<0.001).No significant changes in other infected areas.A total of 1,920 pathogenic strains were detected,including 1,153 strains of Gram-neg-ative bacteria(60.05%),ranked first every year;595 strains of Gram-positive bacteria(30.99%),the annual comparison shows a clear upward trend(P<0.001).The top five detected pathogens were Klebsiella pneumoniae(19.06%),Acinetobacter baumannii(16.77%),Staphylococcus aureus(16.20%),Pseudomonas aeruginosa(9.43%),and fungi(8.96%).MDRO was CRAB(1.26%),MRSA(0.39%),CRPA(0.26%),CRKP(0.27%),CR-Ero(0.03%),and VRE(0%).For the annual trend comparison,CRAB and CRPA decreased sig-nificantly(P<0.001),MRSA increased significantly(P<0.001),and no trend in CRKP,CR-Ero and VRE.Conclusion:The neuro-surgical monitoring data is helpful to help medical staff grasp the trend of nosocomial infection,compare the monitoring indicators,identify the risk points,and provide strong data support for the formulation of effective nosocomial infection prevention and control mea-sures.
万方数据
维普
