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

Overview

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).

Study Type

  • Study Type: Observational
  • Study Design
    • Time Perspective: Prospective
  • Study Primary Completion Date: June 15, 2025

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.

Clinical Trial Outcome Measures

Primary Measures

  • Rate of appropriate antibiotic therapy in patients with bloodstream infections
    • Time Frame: 24 months
    • 1) number of patients with bloodstream infections with appropriate antibiotic therapy before and after the application of the predictive model “Bacterium”
  • Blood cultures
    • Time Frame: 24 months
    • number of blood cultures done before and after the application of the predictive model “Bacterium”

Participating in This Clinical Trial

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

Gender Eligibility: All

Minimum Age: 18 Years

Maximum Age: N/A

Are Healthy Volunteers Accepted: No

Investigator Details

  • Lead Sponsor
    • Fondazione Policlinico Universitario Agostino Gemelli IRCCS
  • Provider of Information About this Clinical Study
    • Sponsor
  • Overall Contact(s)
    • rita murri, 003930154945, rita.murri@policlinicogemelli.it

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