External validation of the PRESTO pediatric tool for predicting in-hospital mortality from traumatic injury

Ashleigh Nazareth1, Recep Gezer2, Etienne St-Louis3

  • 1Faculty of Medicine, University of British Columbia, 317 - 2194 Health Sciences Mall, Vancouver, BC, V6T 1Z3, Canada.

Insights

The Pediatric Resuscitation and Trauma Outcome (PRESTO) model is validated for pediatric trauma benchmarking in high-resource settings. It performs comparably to the Injury Severity Score (ISS) but is simpler to use.

Area of Science:

  • Trauma care quality improvement
  • Pediatric emergency medicine
  • Health outcomes research

Background:

  • Trauma system benchmarking is essential for improving pediatric trauma care quality.
  • The Pediatric Resuscitation and Trauma Outcome (PRESTO) model facilitates risk-adjusted in-hospital mortality comparisons, particularly in under-resourced settings.
  • Validation of PRESTO in high-resource environments is needed.

Purpose of the Study:

  • To validate the PRESTO model in a high-resource setting using Canadian provincial Trauma Registry (TR) data.
  • To compare the performance of the PRESTO model against the standard Injury Severity Score (ISS) for benchmarking pediatric trauma outcomes.

Main Methods:

  • Retrospective case-control study of pediatric major trauma patients (<16 years) from 2013-2021 using TR data.
  • PRESTO model utilized demographic, vital sign, and outcome data to estimate predicted mortality (Pm).
  • Model performance assessed by comparing Pm between non-survivors and survivors and by receiver-operator curve analysis (AUROC) against ISS.

Main Results:

  • A cohort of 647 pediatric trauma patients (11% in-hospital mortality) was analyzed.
  • The PRESTO model demonstrated a significantly higher predicted mortality for non-survivors compared to survivors (p < 0.001).
  • PRESTO and ISS showed comparable performance, with non-significantly different AUROCs (0.819 vs. 0.816, p = 0.95).

Conclusions:

  • The PRESTO model is validated and performs effectively in a high-resource setting like a Canadian province.
  • PRESTO offers comparable benchmarking capabilities to ISS but with greater simplicity in derivation.
  • PRESTO has the potential to serve as a valuable tool for benchmarking in-hospital mortality across Canadian institutions over time.
Abstract