1. A retrospective analysis was performed to determine the prevalence of multidrug- resistant organisms infection in ICU from October 2017 to October 2019. 2. Non-MDRO patients were selected by random sampling in a ratio of 1:1 to the final MDRO group during the same period , and select the risk factors of infection with multi-drug resistant bacteria by comparing the two groups. 3. Randomly select 30% of the sample size as the validation set, and the remaining 70% for the training set to establish a model. Using multi-factor Logistic regression, decision tree classification, artificial neural network, support vector machine, Bayesian network Method to establish risk assessment system for multidrug-resistant organisms infection respectively.Using validation set data to calculate the area under the ROC curve (AUC) and sensitivity, specificity of models and comparing the prediction accuracy of several models. Finally, choose a more suitable risk assessment system for multidrug-resistant organisms infection. 4. Predict the patient's infection risk level according to the best risk assessment system and develop a low-to-high intervention plan.
Study Type
OBSERVATIONAL
Enrollment
917
1. General information: age, gender, length of stay in ICU, method of admission, tubes taken at the time of admission, APACHEⅡ score, surgery, laboratory tests (PCT, CRP, WBC), pressure sores, etc. 2. Iatrogenic factors: days of using ventilator, days of using antibacterial drugs, types of antibacterial drugs, use of glucocorticoids, use of immunosuppressants, days of central venous intubation, days of indwelling catheters, days of arterial catheterization, and other indwelling catheters. 3. The patient's own related factors: diagnosis, whether complicated with hypertension or diabetes; whether exist malignant tumor, primary lung infection, hypoproteinemia; whether antibiotic treatment before admission; fever and fever days, whether diarrhea occurs
2nd Affiliated Hospital, School of Medicine, Zhejiang University
Hangzhou, Zhejiang, China
multidrug-resistant organisms infection
Ratio of the number of multi-drug resistant bacterial infections to the total number of patients
Time frame: From date of ICU admissions until the date of ICU discharge or date of diagnosis of multidrug-resistant organisms infection , whichever came first, assessed up to 24 months
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