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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

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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.
Risk factors analysis and risk prediction model construction of pseudomonas aeruginosa bloodstream infection in ICU
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.

ICUPseudomonas aeruginosaBlood flow infectionRisk factorsRisk prediction model

李永峰

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泗水县人民医院重症医学科,泗水 273200

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

2024

济宁医学院学报
济宁医学院

济宁医学院学报

影响因子:0.513
ISSN:1000-9760
年,卷(期):2024.47(5)