JMIR Research Protocols (Nov 2022)

Validation of Prediction Rules for Computed Tomography Use in Children With Blunt Abdominal or Blunt Head Trauma: Protocol for a Prospective Multicenter Observational Cohort Study

  • Irma T Ugalde,
  • Pradip P Chaudhari,
  • Mohamed Badawy,
  • Paul Ishimine,
  • Kevan A McCarten-Gibbs,
  • Kenneth Yen,
  • Nisa S Atigapramoj,
  • Allyson Sage,
  • Donovan Nielsen,
  • P David Adelson,
  • Jeffrey Upperman,
  • Daniel Tancredi,
  • Nathan Kuppermann,
  • James F Holmes

DOI
https://doi.org/10.2196/43027
Journal volume & issue
Vol. 11, no. 11
p. e43027

Abstract

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BackgroundTraumatic brain injuries (TBIs) and intra-abdominal injuries (IAIs) are 2 leading causes of traumatic death and disability in children. To avoid missed or delayed diagnoses leading to increased morbidity, computed tomography (CT) is used liberally. However, the overuse of CT leads to inefficient care and radiation-induced malignancies. Therefore, to maximize precision and minimize the overuse of CT, the Pediatric Emergency Care Applied Research Network (PECARN) previously derived clinical prediction rules for identifying children at high risk and very low risk for IAIs undergoing acute intervention and clinically important TBIs after blunt trauma in large cohorts of children who are injured. ObjectiveThis study aimed to validate the IAI and age-based TBI clinical prediction rules for identifying children at high risk and very low risk for IAIs undergoing acute intervention and clinically important TBIs after blunt trauma. MethodsThis was a prospective 6-center observational study of children aged 24 hours for TBI, or hospital admission of ≥2 nights due to a TBI on CT). Prediction rule accuracy was assessed by measuring rule classification performance, using standard point and 95% CI estimates of the operational characteristics of each prediction rule (sensitivity, specificity, positive and negative predictive values, and diagnostic likelihood ratios). ResultsThe project was funded in 2016, and enrollment was completed on September 1, 2021. Data analyses are expected to be completed by December 2022, and the primary study results are expected to be submitted for publication in 2023. ConclusionsThis study will attempt to validate previously derived clinical prediction rules to accurately identify children at high and very low risk for clinically important IAIs and TBIs. Assuming successful validation, widespread implementation is then indicated, which will optimize the care of children who are injured by better aligning CT use with need. International Registered Report Identifier (IRRID)RR1-10.2196/43027