Development of an Antibiotic Guideline for Children With Suspected Ventilator-Associated Infections

Steven L Shein1, Oliver Karam2, Andrew Beardsley3

  • 1Division of Pediatric Critical Care, Rainbow Babies and Children's Hospital, Cleveland, OH.

Insights

This study developed a guideline to help decide when to stop antibiotics in children with suspected ventilator-associated infections. The new scoring system aims to reduce antibiotic use while monitoring patient outcomes.

Area of Science:

  • Pediatric critical care medicine
  • Infectious disease management
  • Antibiotic stewardship

Background:

  • Ventilator-associated infections (VAI) are a significant concern in pediatric intensive care units (PICUs).
  • Optimal duration of antibiotic therapy for suspected VAI in children remains a challenge.
  • Current practices may lead to overuse or underuse of antibiotics, impacting patient outcomes and antimicrobial resistance.

Purpose of the Study:

  • To develop a clinical guideline for antibiotic decision-making at 48-72 hours in children with suspected VAI.
  • To create a scoring system to guide the continuation or discontinuation of antibiotics.
  • To potentially reduce antibiotic exposure in pediatric patients.

Main Methods:

  • Prospective, multicenter observational data collection in 22 PICUs.
  • Development of a guideline scoring system by an expert panel using consensus and literature review.
  • Retrospective application of the scoring system to collected patient data.

Main Results:

  • A scoring system was developed, correlating with antibiotic duration and disease severity (eGFR2 scores).
  • Recommendations were made: stop antibiotics for scores ≤2, continue for scores ≥6.
  • No recommendation was made for intermediate scores (3-5).

Conclusions:

  • A novel scoring system and guideline were developed to aid antibiotic management in pediatric VAI.
  • The guideline aims to optimize antibiotic duration, balancing efficacy and stewardship.
  • Prospective validation in Phase 3 is planned to assess the impact on antibiotic use and patient outcomes.
Abstract

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