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