BACTERIUM: Study for a Machine-learning-based Model to Predict Bloodstream Infections
NCT ID: NCT05876598
Last Updated: 2025-03-11
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
5000 participants
OBSERVATIONAL
2021-11-03
2025-12-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Interventions
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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.
Eligibility Criteria
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Inclusion Criteria
2. having at least one performed blood culture
3. starting an antibiotic therapy
Exclusion Criteria
2. \<18 years old
3. died after less than 48 hours from blood cultures positivity
18 Years
ALL
No
Sponsors
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Fondazione Policlinico Universitario Agostino Gemelli IRCCS
OTHER
Responsible Party
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Principal Investigators
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Rita Murri
Role: PRINCIPAL_INVESTIGATOR
Fondazione Policlinico Universitario A. Gemelli, IRCCS
Locations
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Fondazione Policlinico Agostino Gemelli Irccs
Rome, , Italy
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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BACTERIUM-4407
Identifier Type: -
Identifier Source: org_study_id
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