Minor Head Trauma in the Pediatric Emergency Department: Decision Making Nodes
Mario Mastrangelo1, Fabio Midulla1
1Pediatric Emergencies and Intensive Care Unit-Department of Pediatrics, Child Neurology and Psychiatry-Sapienza - University of Rome, Rome. Italy.
Insights
The Pediatric Emergency Care Applied Research Network (PECARN) algorithm is the best validated tool for identifying children with clinically relevant brain injuries after minor head trauma. This clinical pathway aids physicians in managing pediatric head injuries effectively.
Area of Science:
- Pediatric Emergency Medicine
- Neurotrauma
- Clinical Decision Support
Background:
- Minor head trauma is a frequent reason for pediatric emergency department visits.
- Clinically significant brain injuries occur in a small subset of these patients.
- Effective management strategies are crucial for accurate diagnosis and treatment.
Purpose of the Study:
- To provide physicians with a clinical pathway for managing pediatric minor head trauma.
- To review and validate existing clinical prediction rules for pediatric head injuries.
- To enhance the early identification of children requiring further neuroimaging.
Main Methods:
- A comprehensive literature search was performed using PubMed/Medline.
- Studies published between 2000 and 2015 focusing on pediatric populations were critically reviewed.
- Pre-2000 relevant articles were also included to provide historical context.
Main Results:
- The Pediatric Emergency Care Applied Research Network (PECARN) algorithm was identified as the sole validated clinical prediction rule for CT scan selection in children with minor head trauma.
- PECARN demonstrated high sensitivity in identifying low-risk patients, characterized by normal mental status, absence of vomiting, and non-severe injury mechanisms.
- Other rules (NEXUS II, CHALICE, CATCH) showed lower sensitivity compared to the PECARN algorithm.
Conclusions:
- The PECARN rule is the most validated clinical tool for early identification of clinically relevant pediatric brain injuries.
- Integration of the PECARN rule with physician judgment, parental input, and clinical observation is recommended.
- This approach optimizes the management of minor head trauma in children.
Background:
Minor head trauma is one of the leading causes of accessing pediatric emergency departments; however, only a limited number of patients develops clinically relevant brain injuries.
Objectives:
The aim of this review is to provide physicians a clinical pathway for managing pediatric minor head trauma.
Methods:
A Pubmed/Medline search was conducted through the following entries: "minor head trauma", "mild head trauma", "minor head injury", "mild head injury" or "acute head trauma". All the studies including pediatric samples between 2000 and 2015 were considered for a critical review. A few articles written before 2000 were analyzed for their relevance.
Results:
The Pediatric Emergency Care Applied Research Network (PECARN) algorithm identified children with a very low risk for clinically relevant brain injuries (normal mental status, no loss of consciousness, no vomiting, non-severe injury mechanism, no signs of basilar skull fracture, no severe headache, no evident clinical worsening over time and no multiple symptoms) and offered the only validated clinical prediction rule to select candidates for CT scans. Other proposed clinical prediction rules (including NEXUS II, CHALICE and CATCH), that were not validated, have a lower sensitivity than PECARN algorithm. Skull X-ray, cerebral magnetic resonance and cranial ultrasonography could provide useful information in selected cases.
Conclusions:
The critical use of PECARN rule represents the best validated clinical tool for the early identification of children with a clinically relevant brain injury. Its application should be integrated with physician experience and judgement, parental compliance and clinical observation.
