BACTERIUM: Study for a Machine-learning-based Model to Predict Bloodstream Infections
- Conditions
- Infection, Bloodstream
- Registration Number
- NCT05876598
- Brief 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).
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 5000
- adult patients hospitalized at the Gemelli Polyclinic Foundation
- having at least one performed blood culture
- starting an antibiotic therapy
- blood cultures with contaminants
- <18 years old
- died after less than 48 hours from blood cultures positivity
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Rate of appropriate antibiotic therapy in patients with bloodstream infections 24 months 1) number of patients with bloodstream infections with appropriate antibiotic therapy before and after the application of the predictive model "Bacterium"
Blood cultures 24 months number of blood cultures done before and after the application of the predictive model "Bacterium"
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Fondazione Policlinico Agostino Gemelli Irccs
🇮🇹Rome, Italy