摘要
目的研究重症医学科(intensive care unit,ICU)铜绿假单胞菌血流感染的危险因素及构建风险预测模型。方法回顾调查铜绿假单胞菌血流感染患者资料。使用logistic回归分析进行单因素和多因素筛选出独立危险因素,构建铜绿假单胞菌血流感染风险预测评分模型。结果合并其他疾病、入住ICU时间、机械通气、APACHEⅡ评分是ICU铜绿假单胞菌血流感染的独立危险因素。Logistic回归模型Logit(P)=-69895+1.616×合并其他疾病+2.610×入住ICU时间+1.846×机械通气+2.831×APACHEⅡ评分。ROC曲线下面积为0.712,灵敏度为88.2%,特异度为75.2%,95%CI为[0.612,0.854],最佳截断值为13.412。结论合并其他疾病、入住ICU时间、机械通气、APACHEⅡ评分是ICU铜绿假单胞菌血流感染的独立危险因素。Logistic回归模型便于感染风险的预测。
Objective To study the risk factors of pseudomonas aeruginosa bloodstream infection in ICU and construct a risk prediction model.Method A retrospective investigation was conducted on the data of patients with pseudomonas aeruginosa bloodstream infection.Use logistic regression analysis to screen independent risk factors for single and multiple factors,and construct a risk prediction scoring model for pseudomonas aeruginosa bloodstream infection.The combination of other diseases,length of stay in the ICU,mechanical ventilation,and APACHEⅡscore are independent risk factors for pseudomonas aeruginosa bloodstream infection in the ICU.Logistic regression model Logit(P)=-69895+1.616×Other comorbidities+2.610×ICU stay time+1.846×Mechanical ventilation+2.831×APACHEⅡscore.The area under the curve is 0.712,the sensitivity is 88.2%,the specificity is 75.2%,the 95%CI is[0.612,0.854],and the optimal cutoff value is 13.412.Conclusion The combination of other diseases,length of stay in the ICU,mechanical ventilation,and APACHEⅡscore are independent risk factors for pseudomonas aeruginosa bloodstream infection in the ICU.The logistic regression model facilitates the prediction of infection risk.
作者
李永峰
LI Yongfeng(Department of ICU,Sishui County People′s Hospital,Sishui 273200,China)
出处
《济宁医学院学报》
2024年第5期398-401,共4页
Journal of Jining Medical University
