Accuracy of PECARN, CATCH, and CHALICE head injury decision rules in children: a prospective cohort study

Franz E Babl1, Meredith L Borland2, Natalie Phillips3

  • 1Royal Children's Hospital, Melbourne, VIC, Australia; Murdoch Children's Research Institute, Melbourne, VIC, Australia; Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC, Australia.

PubMed

Insights

Three clinical decision rules (PECARN, CATCH, CHALICE) demonstrated high sensitivity for identifying traumatic brain injuries (TBI) in children with head injuries. These validated rules offer a reliable starting point for clinical practice.

Area of Science:

  • Pediatric Emergency Medicine
  • Clinical Decision Support Systems
  • Neurotrauma

Background:

  • Clinical decision rules aid in determining the necessity of CT scans for pediatric head injuries.
  • Validation of existing rules (PECARN, CATCH, CHALICE) in a large pediatric cohort was needed.

Purpose of the Study:

  • To prospectively validate the diagnostic accuracy of PECARN, CATCH, and CHALICE clinical decision rules in children with head injuries.
  • To assess the performance of these rules in predicting clinically important traumatic brain injury (TBI) and other outcomes.

Main Methods:

  • Prospective observational study of over 20,000 children (<18 years) with head injuries across ten Australian and New Zealand hospitals.
  • Assessed diagnostic accuracy of PECARN (stratified by age <2 and ≥2 years), CATCH, and CHALICE for rule-specific outcomes.
  • Secondary analysis in a mild head injury cohort (n=18,913) for clinically important TBI.

Main Results:

  • PECARN showed the highest sensitivities (100% for <2 years, 99% for ≥2 years).
  • CATCH and CHALICE also demonstrated high sensitivities (95.2% and 92.3% respectively).
  • All rules exhibited negative predictive values exceeding 99% for clinically important TBI.

Conclusions:

  • The validated clinical decision rules (PECARN, CATCH, CHALICE) possess high sensitivity for identifying significant head injuries in children.
  • These findings support the implementation of these rules in clinical practice for guiding CT imaging decisions.
Abstract