Use of Rotterdam CT scores for mortality risk stratification in children with traumatic brain injury

Kate Liesemer1, Jay Riva-Cambrin, Kimberly Statler Bennett

  • 11Pediatric Critical Care, University of Utah School of Medicine and Primary Children's Hospital, Salt Lake City, UT. 2Pediatric Neurosurgery, University of Utah School of Medicine and Primary Children's Hospital, Salt Lake City, UT. 3Emergency Medicine, University of Rochester School of Medicine, Rochester, NY. 4Pediatric Surgery, University of Utah School of Medicine and Primary Children's Hospital, Salt Lake City, UT.

Insights

The Rotterdam CT score, used for adult traumatic brain injury, showed poor calibration for predicting pediatric mortality. A new pediatric model accurately stratifies mortality risk in children with traumatic brain injury.

Area of Science:

  • Neurotrauma
  • Pediatric Critical Care
  • Radiology

Background:

  • The Rotterdam CT score categorizes adult traumatic brain injury (TBI) severity.
  • Its utility in pediatric TBI mortality risk stratification is unestablished.

Purpose of the Study:

  • To evaluate the Rotterdam CT score's effectiveness in predicting mortality in pediatric TBI.
  • To develop and validate a pediatric-specific mortality prediction model.

Main Methods:

  • Compared observed pediatric mortality with adult Rotterdam CT score predictions.
  • Developed a new pediatric mortality model using a cohort of 632 children with moderate to severe TBI.
  • Validated the model using a separate sample from the same cohort.

Main Results:

  • The adult Rotterdam CT score showed good discrimination (AUC=0.85) but poor calibration for pediatric TBI mortality.
  • A newly developed pediatric model demonstrated good discrimination (AUC=0.80) and calibration.
  • Children exhibited better survival than adults in lower Rotterdam score categories but worse survival in higher categories.

Conclusions:

  • The adult Rotterdam CT score is not ideal for pediatric TBI mortality risk stratification.
  • A validated, pediatric-specific mortality model accurately predicts outcomes in children with TBI.
  • This new model can aid in clinical decision-making and resource allocation for pediatric TBI.
Abstract