The Association Between Fever and Subsequent Deterioration Among Hospitalized Children With Elevated PEWS

Justin Lockwood1,2, Jennifer Reese3,2, Beth Wathen4,2

  • 1Section of Hospital Medicine, Department of Pediatrics, School of Medicine, and justin.lockwood@childrenscolorado.org.

Hospital Pediatrics
|February 15, 2019
PubMed

Insights

Fever in children with elevated Pediatric Early Warning Scores (PEWS) may reduce unplanned intensive care unit transfers. Further research is needed to understand the role of fever in critical deterioration events.

Area of Science:

  • Pediatric critical care medicine
  • Clinical risk assessment
  • Patient safety

Background:

  • Elevated Pediatric Early Warning Scores (PEWS) indicate a higher risk of clinical deterioration in hospitalized children.
  • Understanding factors associated with patient outcomes is crucial for refining care escalation protocols.

Purpose of the Study:

  • To investigate the association between fever and subsequent clinical deterioration in pediatric patients with PEWS elevations (≥4).
  • To inform potential improvements in care escalation processes based on fever status.

Main Methods:

  • A cohort study was conducted at a quaternary children's hospital.
  • Included hospitalized children with PEWS ≥4 between January and March 2014.
  • Used bivariable and multivariable Poisson regression to analyze unplanned ICU transfers and critical deterioration events (CDEs).

Main Results:

  • Of 176 patients, 33% had fever, 40% experienced unplanned ICU transfer, and 19% had CDEs.
  • Febrile patients showed a trend towards fewer unplanned ICU transfers (adjusted relative risk 0.68; P = .058).
  • No significant difference in CDE risk was observed between febrile and afebrile patients.

Conclusions:

  • Febrile status in children with elevated PEWS may be associated with a reduced likelihood of unplanned ICU transfer.
  • The study was underpowered to definitively assess the impact on CDEs.
  • Findings suggest PEWS may not capture all critical clinical factors for decision-making, necessitating further research.
Abstract

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