Predicting Bloodstream Infections Using Machine Learning
BACTERIUM: Study for a Machine-learning-based Model to Predict Bloodstream Infections
Fondazione Policlinico Universitario Agostino Gemelli IRCCS · NCT05876598
This study is testing a new way to use computer technology to predict which hospitalized adults are at risk for bloodstream infections so doctors can treat them faster and avoid unnecessary tests for those who aren’t at risk.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 5000 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Fondazione Policlinico Universitario Agostino Gemelli IRCCS (other) |
| Locations | 1 site (Rome) |
| Trial ID | NCT05876598 on ClinicalTrials.gov |
What this trial studies
This observational study aims to develop a machine-learning model to predict the risk of bloodstream infections in hospitalized adult patients. By analyzing data from patients who have undergone blood cultures and are starting antibiotic therapy, the study seeks to identify those at high risk for infections, enabling quicker treatment decisions. Conversely, it also aims to reduce unnecessary diagnostic tests and treatments for patients at low risk, thereby conserving healthcare resources and minimizing side effects. The study is conducted at the Gemelli Polyclinic Foundation in Rome.
Who should consider this trial
Good fit: Ideal candidates for this study are adult patients hospitalized at the Gemelli Polyclinic Foundation who have undergone blood cultures and are beginning antibiotic therapy.
Not a fit: Patients who may not benefit from this study include those under 18 years old or those whose blood cultures are contaminated.
Why it matters
Potential benefit: If successful, this model could lead to more timely and appropriate treatment for patients at risk of bloodstream infections.
How similar studies have performed: While machine learning approaches in predicting infections are emerging, this specific application in bloodstream infections is relatively novel and has not been extensively tested.
Eligibility criteria
Show full inclusion / exclusion 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
Where this trial is running
Rome
- Fondazione Policlinico Agostino Gemelli Irccs — Rome, Italy (RECRUITING)
Study contacts
- Principal investigator: Rita Murri — Fondazione Policlinico Universitario Agostino Gemelli IRCCS
- Study coordinator: rita murri
- Email: rita.murri@policlinicogemelli.it
- Phone: 003930154945
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Infection, Bloodstream