Skip to content

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

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

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05876598
Acronym
BACTERIUM
Enrollment
5000
Registered
2023-05-25
Start date
2021-11-03
Completion date
2025-12-30
Last updated
2025-03-11

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Infection, Bloodstream

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).

Interventions

The outcome of the study will be to implement Prediction Models to support clinicians for the assessment of risk of having a bloodstream infection.

Sponsors

Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

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

Design outcomes

Primary

MeasureTime frameDescription
Rate of appropriate antibiotic therapy in patients with bloodstream infections24 months1\) number of patients with bloodstream infections with appropriate antibiotic therapy before and after the application of the predictive model Bacterium
Blood cultures24 monthsnumber of blood cultures done before and after the application of the predictive model Bacterium

Countries

Italy

Contacts

Primary Contactrita murri
rita.murri@policlinicogemelli.it003930154945

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026