← Back to Clinical Trials
Recruiting NCT05876598

BACTERIUM: Study for a Machine-learning-based Model to Predict Bloodstream Infections

◆ AI Clinical Summary
Plain-language summary for patients

Trial Parameters

Condition Infection, Bloodstream
Sponsor Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Study Type OBSERVATIONAL
Phase N/A
Enrollment 5,000
Sex ALL
Min Age 18 Years
Max Age N/A
Start Date 2021-11-03
Completion 2025-06-15
Interventions
antibiotic treatments

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

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).

Eligibility Criteria

Inclusion Criteria: 1. adult patients hospitalized at the Gemelli Polyclinic Foundation 2. having at least one performed blood culture 3. starting an antibiotic therapy Exclusion Criteria: 1. blood cultures with contaminants 2. \<18 years old 3. died after less than 48 hours from blood cultures positivity

Related Trials

ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: April 2026  ·  Data Methodology
}