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BACTERIUM: Study for a Machine-learning-based Model to Predict Bloodstream Infections
Sponsor: Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Summary
An increase of healthcare-associated infections caused by multidrug- resistant organisms (MRDO) is currently observed. One of the main causes of the emergence of a MDRO infection is an overuse of antibiotics. Therefore, saving useless antibiotic treatment is currently a priority from a public health point of view. The evaluation of the risk of having a bloodstream infection will allow both activating faster treatment decisions (when the risk is significantly high) or to save useless resources in terms of diagnostic tests and treatments, also limiting the potential for side effects (when the risk is significantly low).
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
5000
Start Date
2021-11-03
Completion Date
2025-12-30
Last Updated
2025-03-11
Healthy Volunteers
No
Conditions
Interventions
antibiotic treatments
The outcome of the study will be to implement Prediction Models to support clinicians for the assessment of risk of having a bloodstream infection.
Locations (1)
Fondazione Policlinico Agostino Gemelli Irccs
Rome, Italy