Pediatric head trauma algorithm for head CT decision-making in the emergency department.

Area of Science:

• Pediatric Emergency Medicine
• Neurotrauma
• Clinical Decision Support

Background:

• Traumatic brain injury (TBI) is a frequent reason for pediatric emergency department (ED) visits.
• Effective decision-making for head computed tomography (CT) in pediatric mild TBI is crucial.
• The Pediatric Emergency Care Applied Research Network (PECARN) TBI algorithm offers a standardized approach.

Purpose of the Study:

• To assess the application of the PECARN TBI algorithm for head CT decisions in pediatric ED patients.
• To evaluate the protocol's impact on ED crowding, length of stay, and boarding times.
• To determine the algorithm's effectiveness in managing mild TBI in children.

Main Methods:

• Retrospective study of 1372 children (≤15 years) with mild TBI admitted to a level 2 trauma center ED.
• Data collection included demographics, symptoms, amnesia, outcomes, and neurosurgical interventions.
• Analysis focused on head CT utilization, intracranial injuries (ICI), and ED operational metrics.

Main Results:

• Only 4.3% of patients required neuroimaging; 7 children had intracranial hemorrhage, with 1 needing immediate neurosurgery.
• No re-admissions for bleeding were reported.
• Protocol adoption did not negatively impact ED crowding and reduced the length of ED stay.

Conclusions:

• The PECARN TBI algorithm successfully reduced the number of brain CT scans in pediatric mild TBI cases.
• Implementation of the algorithm resulted in good clinical outcomes.
• The protocol effectively managed pediatric TBI without increasing ED crowding.