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

NCT05876598 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 5000

Last updated 2025-03-11

No results posted yet for this study

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).

Conditions

  • Infection, Bloodstream

Interventions

DRUG

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.

Sponsors & Collaborators

  • Fondazione Policlinico Universitario Agostino Gemelli IRCCS

    lead OTHER

Principal Investigators

  • Rita Murri · Fondazione Policlinico Universitario A. Gemelli, IRCCS

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-11-03
Primary Completion
2025-06-15
Completion
2025-12-30

Countries

  • Italy

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05876598 on ClinicalTrials.gov