[Management of isolated minor head trauma. A multicenter study]

Area of Science:

• Pediatric Emergency Medicine
• Neurotrauma
• Clinical Decision Support Systems

Context:

• Minor head trauma is common in children presenting to emergency departments.
• Accurate and timely diagnosis of intracranial injuries (ICI) is crucial for optimal patient outcomes.
• Existing diagnostic approaches may lead to overtreatment or missed diagnoses.

Purpose:

• To evaluate the effectiveness of a previously established decision tree for the early detection of intracranial injuries (ICI) in pediatric patients with minor head trauma.
• To assess the accuracy of classification and appropriateness of management based on the decision tree protocol.
• To determine the incidence of ICI and neurosurgical intervention in different risk categories.

Summary:

• A prospective multicenter study included 2148 children (3 months to 14 years) with minor head trauma (Glasgow Coma Scale 13-15).
• Patients were stratified into low, intermediate, and high-risk groups based on age and clinical factors, guiding management recommendations (home observation, hospital observation, or CT scan).
• The decision tree protocol resulted in proper classification for 90.1% of patients and appropriate management in 87.4%, with early detection of ICI in all positive cases, predominantly in the high-risk group.

Impact:

• The study demonstrates that implementing a structured decision tree protocol can significantly improve the early and accurate detection of intracranial injuries in pediatric head trauma.
• This approach aids in optimizing resource utilization by identifying children who require advanced imaging (CT) versus those who can be safely observed.
• The findings support the broader adoption of evidence-based clinical decision support tools in pediatric emergency care to enhance diagnostic accuracy and patient safety.