Factors associated with peptide-based formula prescription in a pediatric intensive care unit

Maria V M Vidigal1, Heitor P Leite, Paulo C K Nogueira

  • 1Department of Pediatrics, Pediatric Intensive Care Unit, Federal University of São Paulo, São Paulo, Brazil.

Insights

Peptide-based formulas are prescribed for critically ill children with severe conditions like malnutrition or sepsis. These specialized formulas are significantly more expensive than standard options, impacting healthcare costs.

Area of Science:

  • Pediatric critical care nutrition
  • Enteral feeding strategies
  • Healthcare cost analysis

Background:

  • Lack of consensus on peptide-based formula use in critically ill children.
  • Need to understand factors influencing initial enteral nutrition choices.
  • Importance of cost-effectiveness in pediatric intensive care unit (PICU) settings.

Purpose of the Study:

  • Identify factors associated with prescribing peptide-based formulas for critically ill children.
  • Compare direct costs of different enteral formulas in a PICU.
  • Inform evidence-based guidelines for pediatric enteral nutrition.

Main Methods:

  • Prospective study evaluating 291 critically ill children receiving tube feeding for ≥48 hours.
  • Analysis of variables including age, sex, malnutrition, sepsis, fasting duration, and medication use.
  • Direct cost comparison of prescribed enteral formulas.

Main Results:

  • 29.2% of patients received peptide-based formulas initially.
  • Malnutrition (OR 2.94), fasting >2 days (OR 3.46), and α-adrenergic drug use (OR 2.32) were associated with peptide-based formula prescription.
  • Peptide-based formulas cost up to 10 times more than standard polymeric formulas.

Conclusions:

  • Prescription of peptide-based formulas is linked to increased patient clinical severity.
  • Factors like malnutrition, prolonged fasting, and α-adrenergic drug use predict peptide-based formula selection.
  • Higher costs associated with peptide-based formulas compared to standard polymeric options.
Abstract

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