Impact of Procalcitonin-guided Algorithm on Early Discontinuation of Antibiotic Therapy

NCT05350813 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 296

Last updated 2024-09-25

No results posted yet for this study

Summary

In this randomized controlled open-label trial, conducted in 7 French Pediatric and Neonatal Intensive Care Units (ICUs), investigator team hypothesize that the use of a procalcitonin (PCT)-guided algorithm to discontinue antibiotic treatment will decrease antibiotic duration in critically ill children treated for a suspected or proven bacterial infection. Two hundred and ninety-six eligible patients will be randomly assigned in two groups: either PCT-guided or standard-of-care antibiotic discontinuation, and monitored over 28 days, until the end of their hospitalization, or up to the end of antibiotic treatment for bacterial infection recurrence occurring up to 28 days after the day of randomization.

Conditions

Interventions

PROCEDURE

Measurement of the PCT plasma levels

antibiotic treatment duration will be based on PCT plasma levels

PROCEDURE

Usual practice based on guidelines

antibiotic therapy duration will be determined by the type of infection, microbiological results and clinical, biological and/or radiological evolution, according to the usual practice based on guidelines.

Sponsors & Collaborators

  • University Hospital, Toulouse

    lead OTHER

Principal Investigators

  • Romain AMADIEU, MD · University Hospital of Toulouse

Study Design

Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
3 Days
Max Age
17 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-05-02
Primary Completion
2027-02-02
Completion
2027-02-02

Countries

  • France

Study Locations

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Entities

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 NCT05350813 on ClinicalTrials.gov