影响医院感染相关因素的Logistic回归分析

Logistic regression analysis of related factors influencing nosocomial infection

目的运用Logistic回归分析评估医院感染相关因素,降低医院感染风险,加强相应防控措施。方法随机选取2018年1-12月期间,在我院发生医院感染的患者200例作为观察组,再选取460例未发生医院感染的正常患者作为对照组,分析其医院感染的危险因素,进行感染风险评估。结果经单因素分析后,将符合标准的因素纳入Logistic回归分析可知,使用三联抗菌药、使用呼吸机、留置导尿管、全身麻醉、合并肝病、激素治疗、侵入性操作均为医院感染的独立危险因素,差异具有统计学意义(P<0.05)。结论对医院感染的相关因素进行Logistic回归分析,可以高效地发现医院感染的风险点,对预防医院感染的发生起到一定的作用,进而降低医院感染的可能性,确保患者安全。

Objective To analyze the preventive effect of hospital infection using the risk assessment of logistic regression analysis,reduce the risk of hospital infection,and strengthen the corresponding preventive measures.Methods 200 patients with nosocomial infection in our hospital were randomly selected from January 2018 to December 2018 as the observation group,and460 patients without nosocomial infection were selected as the control group.Logistic regression was used for identifying the risk factors and infection risk of nosocomial infection.Results After univariate analysis,the factors meeting the criteria were included in the logistic regression analysis,and the results showed that the independent influencing factors of nosocomial infection were as follows:use of three-antibiotic combination,use of ventilator,indwelling urinary catheter,general anesthesia,being combined with liver disease,hormone therapy,having statistical significance(P<0.05).Conclusions The risk factors can be effectively identified by logistic regression analysis which is helpful to prevent nosocomial infection,so as to reduce the possibility of nosocomial infection,and ensure patient safety.