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

Recruiting
Conditions
Infection, Bloodstream
Registration Number
NCT05876598
Lead Sponsor
Fondazione Policlinico Universitario Agostino Gemelli IRCCS
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).

Detailed Description

Not available

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
5000
Inclusion Criteria
  1. adult patients hospitalized at the Gemelli Polyclinic Foundation
  2. having at least one performed blood culture
  3. starting an antibiotic therapy
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Exclusion Criteria
  1. blood cultures with contaminants
  2. <18 years old
  3. died after less than 48 hours from blood cultures positivity
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Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Rate of appropriate antibiotic therapy in patients with bloodstream infections24 months

1) number of patients with bloodstream infections with appropriate antibiotic therapy before and after the application of the predictive model "Bacterium"

Blood cultures24 months

number of blood cultures done before and after the application of the predictive model "Bacterium"

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Fondazione Policlinico Agostino Gemelli Irccs

🇮🇹

Rome, Italy

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