Cervical Spine Injury Risk Factors in Children With Blunt Trauma

Julie C Leonard1, Lorin R Browne2, Fahd A Ahmad3

  • 1Departments of Pediatrics and julie.leonard@nationwidechildrens.org.

Pediatrics
|June 22, 2019
PubMed

Insights

Developing new prediction rules for pediatric cervical spine injury (CSI) is crucial. A de novo model showed higher sensitivity and specificity than a retrospective model for identifying CSI risk factors in children.

Area of Science:

  • Pediatric Emergency Medicine
  • Trauma Surgery
  • Radiology

Background:

  • Adult cervical spine injury (CSI) prediction rules exist, but pediatric-specific guidelines are lacking.
  • Pediatric blunt trauma patients require accurate risk stratification for CSI.
  • Existing adult rules may not effectively translate to pediatric populations.

Purpose of the Study:

  • To evaluate the accuracy of retrospectively identified CSI risk factors in a prospective pediatric cohort.
  • To compare the performance of a retrospective risk model against a newly developed de novo risk model for pediatric CSI.
  • To identify key risk factors for cervical spine injury in children.

Main Methods:

  • A 4-center, prospective observational study involving children (0-17 years) with blunt trauma.
  • Emergency department providers documented CSI risk factors; CSIs were confirmed via imaging and follow-up.
  • Statistical analysis included bivariable relative risks, multivariable odds ratios, and test characteristics for both models.

Main Results:

  • Of 4091 children, 74 (1.8%) sustained CSIs.
  • Fourteen factors were associated with pediatric CSIs, including diving, neck pain, and altered mental status.
  • The retrospective model achieved 90.5% sensitivity and 45.6% specificity; the de novo model showed 92.0% sensitivity and 50.3% specificity.

Conclusions:

  • Previously identified pediatric CSI risk factors were supported by this study.
  • The findings support the development of prospective pediatric CSI prediction rules.
  • A de novo risk model demonstrates improved accuracy for pediatric cervical spine injury detection.
Abstract

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