Predictive Model for Operative Intervention after Blunt Abdominal Trauma in Children with Equivocal CT Findings: A

Abdulraouf Lamoshi1, Nicole Wagner1, Ziqiang Chen2

  • 1Department of Pediatric Surgery, John R. Oishei Children's Hospital, Buffalo, New York.

Insights

Clinical factors like abdominal wall bruising and tenderness, along with free fluid on CT scans, help predict surgical intervention needs in children with blunt abdominal trauma and unclear CT results.

Area of Science:

  • Pediatric Trauma Surgery
  • Diagnostic Imaging in Pediatrics
  • Emergency Medicine

Background:

  • Blunt abdominal trauma (BAT) in children can present with equivocal findings on computed tomography (CT) scans.
  • Accurate prediction of surgical intervention is crucial for optimal patient outcomes.

Purpose of the Study:

  • To identify clinical and radiologic factors that predict the need for surgical intervention in pediatric patients with BAT and equivocal CT findings.
  • To develop a predictive model for surgical necessity.

Main Methods:

  • Retrospective review of a level I pediatric trauma center database (2011-2019).
  • Analysis of factors including abdominal wall bruising (AWB), abdominal pain/tenderness (APT), thoracolumbar fracture, free fluid (FF), and solid organ injury.
  • Statistical analysis using t-test, Kruskal-Wallis test, and logistic regression.

Main Results:

  • Of 61 pediatric patients with BAT and equivocal CT findings, 12 (19.7%) required surgery.
  • Surgical intervention was significantly associated with patient age, APT, AWB, and FF.
  • A predictive model incorporating these factors achieved a receiver operating characteristic curve of 0.86.

Conclusions:

  • Abdominal wall tenderness, AWB, and FF are significant predictors of operative intervention in pediatric BAT with equivocal CT scans.
  • A combined clinical and imaging predictive model can enhance certainty in surgical decision-making.
  • Further validation on larger, multi-institutional datasets is recommended.
Abstract

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