Pediatric Transport-Specific Illness Severity Scores Predict Clinical Deterioration of Transported Patients

Carly D Schmidt1, Alexis N Thompson1, Sarah S Welsh2

  • 1From the Department of Pediatrics.

Insights

Transport Risk Assessment in Pediatrics (TRAP) and Transport Pediatric Early Warning Scores (T-PEWS) can predict clinical deterioration in pediatric patients admitted to general wards. These scores help identify patients needing closer observation post-transport.

Area of Science:

  • Pediatric critical care
  • Transport medicine
  • Patient safety

Background:

  • Pediatric illness severity scores aid in patient disposition during transport.
  • Transport Risk Assessment in Pediatrics (TRAP) and Transport Pediatric Early Warning Scores (T-PEWS) are designed for this purpose.

Purpose of the Study:

  • To evaluate the predictive value of TRAP and T-PEWS scores for clinical deterioration in pediatric patients admitted to general wards after transport.
  • To determine if these scores can identify patients at higher risk of adverse events.

Main Methods:

  • Retrospective chart review of pediatric critical care transports between March 2017 and February 2020.
  • TRAP and T-PEWS scores were assessed at three time points: pre-hospital, hospital admission, and prior to rapid response team (RRT) activation.
  • Activation of an RRT within 24 hours of admission served as the primary outcome for clinical deterioration.

Main Results:

  • Of 738 included transports, 405 patients were admitted to general wards.
  • Six percent (25 patients) admitted to wards experienced RRT activation within 24 hours.
  • Statistically significant differences in TRAP and T-PEWS scores were observed between ward patients with and without RRT activation.

Conclusions:

  • Both TRAP and T-PEWS scores effectively predict the risk of clinical deterioration in pediatric patients admitted to general wards.
  • These scores can serve as valuable tools for enhancing patient observation and management for transported pediatric patients.
Abstract