The sensitivity and negative predictive value of a pediatric cervical spine clearance algorithm that minimizes...

Area of Science:

• Pediatric Emergency Medicine
• Trauma Surgery
• Radiology

Background:

• Minimizing ionizing radiation exposure is critical in pediatric trauma care.
• Accurate identification of cervical spine injuries in children is essential.
• Existing clearance protocols require validation for pediatric populations.

Purpose of the Study:

• To evaluate the sensitivity and negative predictive value of a pediatric cervical spine clearance algorithm.
• To assess the algorithm's effectiveness in reducing advanced imaging utilization.
• To determine the algorithm's performance across different age groups within the pediatric population.

Main Methods:

• Retrospective review of children (<21 years) admitted after blunt trauma over 10 years.
• Data extraction included demographics, injury codes, cervical collar use, Injury Severity Score, and imaging type.
• Sensitivity and negative predictive value of the cervical spine clearance algorithm were calculated.

Main Results:

• The algorithm was applied to 1023 pediatric patients who arrived in a cervical collar without advanced imaging.
• Sensitivity was 94.4% and negative predictive value was 99.9%.
• One case of a missed spinous process tip fracture was identified in a teenager.

Conclusions:

• The pediatric cervical spine clearance algorithm demonstrates high accuracy in identifying injuries.
• The algorithm is associated with a low missed injury rate and reduced computed tomography (CT) utilization.
• Effective even in very young children (<3 years), supporting its clinical utility.