重症医学科铜绿假单胞菌血流感染的危险因素分析及风险预测模型
Risk factors analysis and risk prediction model construction of pseudomonas aeruginosa bloodstream infection in ICU
李永峰1
作者信息
- 1. 泗水县人民医院重症医学科,泗水 273200
- 折叠
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、APACHE Ⅱ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×APACHE Ⅱ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、APACHE Ⅱ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.
Abstract
Objective To study the risk factors of pseudomonas aeruginosa bloodstream infection in ICU and con-struct a risk prediction model.Method A retrospective investigation was conducted on the data of patients with pseudo-monas 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 APACHE Ⅱ score 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×APACHE Ⅱ score.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 APACHE Ⅱ score are independent risk factors for pseudomonas aeruginosa bloodstream infection in the ICU.The logistic regression model facilitates the prediction of infection risk.
关键词
重症医学科/铜绿假单胞菌/血流感染/危险因素/风险预测模型Key words
ICU/Pseudomonas aeruginosa/Blood flow infection/Risk factors/Risk prediction model引用本文复制引用
出版年
2024
NETL
NSTL
万方数据