基于logistic回归分析的医院感染风险评估模型应用研究

Application of Hospital Infection Risk Assessment Model Based on Logistic Regression Analysis

目的探讨建立医院感染风险评估模型,以降低感染率。方法回顾性分析某三级甲等综合医院2016年5月—2017年5月400例住院患者资料,对照组由200例未发生感染患者组成,感染组由200例发生医院感染的患者组成。对两组患者相关危险因素进行单因素分析及logistic回归分析,确定医院感染危险因素并形成风险评估量表,对2017年6—7月收治的住院患者进行医院感染风险评估。结果抗菌药物大量应用、年龄>75岁、使用呼吸机、出现昏迷、长期卧床、留置导尿管或动静脉置管、合并糖尿病是医院感染的独立危险因素;采用风险评估表对患者进行风险评估后的医院感染率为1.13%,低于评估量表建立前的2.80%(P<0.01)。结论建立医院感染风险评估模型,作出分类预防,可有效降低医院感染、提升医疗服务质量。

Objective To explore the establishment of hospital infection risk assessment model for the prevention and control of hospital infection,and effectively reduce the infection rate.Methods The clinical data of 400 hospitalized patients in the hospital from May,2016 to May,2017 were retrospectively analyzed.The control group was composed of 200 patients with no infection,and the study group was composed of 200 patients with hospital infection.Logistic regression analysis was used to determine the risk factors of nosocomial infection and form a risk assessment scale.Risk assessment of hospital infection was conducted in hospitalized patients from June to July,2017.Results Use of antibiotics,age 75 or higher,the use of ventilator,coma,long-term bed,indwelling catheter or arteriovenous catheterization,and diabetes were the independent risk factors of hospital infection.The risk of hospital infection was 1.13%after risk assessment,which was lower than that before the establishment of the assessment scale(2.80%,P<0.01).Conclusion Establishing a risk assessment model of nosocomial infection and classifying hospital infection can effectively reduce hospital infection,and improve the quality of hospital medical service.