摘要
目的分析研究在2020年1-3月本院重症医学科的感染监测结果。方法选择在2020年1-3月重症医学科接受治疗的患者279例分析探究,汇总医院感染发生率,分析造成感染的相关因素。结果 2020年1-3月医院感染监测结果表示,279例监测ICU患者中发生医院感染者26例,医院感染例次数为31例次,其中呼吸机相关肺炎8例、非呼吸机相关肺炎的呼吸道感染16例、导尿管相关尿路感染2例、中心静脉插管引发血液感染2例、腹部和消化道感染1例,其他感染感染2例。结论医院感染的影响因素包括患者入住时间、有创操作以及抗菌药物使用等,在重症医学科落实目标性监测,合理管理抗菌药物使用,缩短患者住院时间,同时加强对物体表面的消毒等干预措施,对降低医院感染率具有重要意义。
Objective To analyze and study the results of infection surveillance in the Intensive Care Medicine Department of our hospital from January to March 2020.Methods Select 279 patients treated in the Department of Intensive Care Medicine from January to March 2020 to analyze and explore,summarize the incidence of nosocomial infections,and analyze the related factors that cause infections.Results The results of nosocomial infection monitoring from January to March 2020 indicated that 26 of the 279 monitored ICU patients had nosocomial infections,and the number of nosocomial infections was 31 cases,including 8 cases of ventilator-associated pneumonia and non-ventilator-associated pneumonia.There were 16 cases of respiratory tract infection,2 cases of urinary tract infection related to urinary catheter,2 cases of blood infection caused by central venous catheterization,1 case of abdominal and digestive tract infection,and 2 cases of other infections.Conclusion The influencing factors of nosocomial infections include patient staying time,invasive procedures,and use of antibacterial drugs.Implement targeted monitoring in the Department of Critical Care Medicine,rationally manage the use of antibacterial drugs,shorten the patient’s hospital stay,and strengthen interventions such as disinfection of surfaces Measures are of great significance to reduce the rate of hospital infections.
作者
李文燕
李雪梅
梁彩玲
高宝莲
LI Wen-yan;LI Xue-mei;LIANG Cai-ling;GAO Bao-lian(Department of Intensive Medicine,Yangchun People's Hospital,Yangchun,Guangdong 529600)
出处
《智慧健康》
2021年第4期103-105,共3页
Smart Healthcare
关键词
重症医学科
监测结果
影响因素
医院感染率
干预措施
Department of Critical Care Medicine
Surveillance results
Influencing factors
Hospital infection rate
Intervention measures
