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

Abstract

Background: Traumatic brain injury is a common cause of admission in Emergency Department (ED) for pediatric patients. The aim of this study was to evaluate the application of the Pediatric Emergency Care Applied Research Network (PECARN) traumatic brain injury (TBI) algorithm in ED for head CT decision-making in pediatric patients. The secondary objective was to evaluate the impact of adherence to this protocol on ED crowding, length of stay, and boarding time.

Methods: We conducted a retrospective study including children aged ≤ 15 years who were admitted in a level 2 trauma center ED for mild TBI from 1 January 2016 to 31 December 2019. Collected data included amnesia, symptoms, demographics, outcomes, length of ED stay, the patient's outcomes, including intracranial injuries (ICI) and injuries requiring neurosurgery.

Results: A total of 1372 children with mild TBI were included. More than half of the patients were male (59.8%) and ≥ 2 years of age (63.2%). Most of the trauma events (58%) were caused by home injury. Neurosurgical consultation (59.4%) was the most common intervention in the ED. Only 4.3% of patients required neuroimaging and 7 children had intracranial hemorrhage, with only 1 requiring immediate neurosurgical intervention. There were no re-admissions for bleeding. The adoption of this protocol had no negative impact on crowding, and a reduction of ED length of stay.

Conclusions: The adoption of the PECARNE algorithm led to fewer brain computed tomography scans with good clinical outcomes without increasing crowding.