Developing a Risk Assessment System of Multidrug-resistant Organisms Infection
Developing the Best Risk Assessment System of Multidrug-resistant Organisms Infection in Critically Ill Patients Based on Big Data Analysis Technology
- A retrospective analysis was performed to determine the prevalence of multidrug- resistant organisms infection in ICU from October 2017 to October 2019.
- 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.
- 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.
- Predict the patient's infection risk level according to the best risk assessment system and develop a low-to-high intervention plan.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Qian Li, Master
- Phone Number: 18329167071
- Email: 2515210@zju.edu.cn
Study Locations
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Zhejiang
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Hangzhou, Zhejiang, China, 310009
- 2nd Affiliated Hospital, School of Medicine, Zhejiang University
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Duration of ICU admission ≥ 48h
- no less than 18 years old
Exclusion Criteria:
- Patients with MDRO infection at the time of admission
- Lack of case data
- MDRO colonized patients
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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MDRO
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Non-MDRO
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
multidrug-resistant organisms infection
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
|
Ratio of the number of multi-drug resistant bacterial infections to the total number of patients
|
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
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 2020-408
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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