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The sensitivity and negative predictive value of a pediatric cervical spine clearance algorithm that minimizes
Mary Arbuthnot1, David P Mooney1
1Boston Children's Hospital, Department of Surgery, Harvard Medical School, 300 Longwood Ave, Fegan 3, Boston, MA 02115.
Insights
This study found a pediatric cervical spine clearance algorithm has high sensitivity (94.4%) and negative predictive value (99.9%) for identifying injuries in children, reducing unnecessary imaging.
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.
Background:
It is crucial to identify cervical spine injuries while minimizing ionizing radiation. This study analyzes the sensitivity and negative predictive value of a pediatric cervical spine clearance algorithm.
Methods:
We performed a retrospective review of all children <21years old who were admitted following blunt trauma and underwent cervical spine clearance utilizing our institution's cervical spine clearance algorithm over a 10-year period. Age, gender, International Classification of Diseases 9th Edition diagnosis codes, presence or absence of cervical collar on arrival, Injury Severity Score, and type of cervical spine imaging obtained were extracted from the trauma registry and electronic medical record. Descriptive statistics were used and the sensitivity and negative predictive value of the algorithm were calculated.
Results:
Approximately 125,000 children were evaluated in the Emergency Department and 11,331 were admitted. Of the admitted children, 1023 patients arrived in a cervical collar without advanced cervical spine imaging and were evaluated using the cervical spine clearance algorithm. Algorithm sensitivity was 94.4% and the negative predictive value was 99.9%. There was one missed injury, a spinous process tip fracture in a teenager maintained in a collar.
Conclusions:
Our algorithm was associated with a low missed injury rate and low CT utilization rate, even in children <3years old.
Level Of Evidence:
IV.
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