CompletedNot Applicable

Machine Learning in the ICU: Predicting Mortality in Bloodstream Infections (ICU:Intensive Care Unit)

Turkey (Türkiye)197 participantsStarted 2024-04-12

Plain-language summary

Using our own patient data, our study aimed to predict mortality that can develop in Carbapenem-resistant Gram-negative bacilli bloodstream infections with a machine learning-based model. In the intensive care unit, patients with bloodstream infections, both with and without mortality, will be examined retrospectively in two subgroups for comparison.

Who can participate

Age range18 Years

SexALL

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Inclusion Criteria: * In our study, patients who were monitored in our hospital's tertiary Intensive Care Unit between June 2017 and June 2023 and developed bloodstream infections with Carbapenem-resistant Enterobacteriaceae, Carbapenem-resistant Acinetobacter baumannii and Carbapenem-resistant Pseudomonas aeruginosa will be retrospectively included. Exclusion Criteria: * Patients under the age of 18 and those with infections other than bloodstream infections will not be included.

What they're measuring

Risk of Mortality

Timeframe: 3 months

Trial details

NCT IDNCT06167083

SponsorKocaeli University

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2025-06-28

View on ClinicalTrials.gov More Carbapenem Resistant Bacterial Infection trials