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High Risk Predictors for Thoracic Aortic Injury in Pediatric Blunt Chest Trauma.

Olufunmilayo A Eleanya1, Devneet Singh2, Ashar Ata3

  • 1Department of Surgery, Albany Medical Center, Albany, New York; Division of Trauma and Acute Care Surgery, Department of Surgery, NYU Grossman Long Island School of Medicine, Mineola, New York.

The Journal of Surgical Research
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Summary
This summary is machine-generated.

A new risk score identifies children at high risk for blunt thoracic aortic injuries (BTAIs) using simple clinical data and X-rays, avoiding unnecessary radiation exposure. This tool aids in early detection of BTAIs in pediatric patients.

Keywords:
BTAIPediatric blunt chest traumaPediatric blunt thoracic aortic injuryPediatric trauma chest CTPediatric trauma imaging

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Area of Science:

  • Pediatric Trauma Surgery
  • Thoracic Imaging
  • Injury Prevention

Background:

  • Blunt thoracic aortic injuries (BTAIs) in children are rare but have high mortality.
  • Current diagnostic methods like CT angiography involve significant radiation exposure.
  • There is a need for non-invasive methods to identify high-risk pediatric patients for BTAI.

Purpose of the Study:

  • To identify predictors of BTAI in children based on history, clinical examination, and X-ray findings.
  • To develop a clinical risk score for stratifying BTAI risk in pediatric patients.
  • To reduce unnecessary radiation exposure from routine CT scans.

Main Methods:

  • Retrospective cohort study using the Trauma Quality Improvement Program database (2017-2023).
  • Multivariable logistic regression to identify risk factors for BTAI in children (<15 years).
  • Development and validation of a clinical risk score based on identified predictors.

Main Results:

  • Identified 41,721 pediatric patients with blunt thoracic injuries; 177 (0.4%) had BTAI.
  • Key risk factors include older age, intentional injury, low respiratory rate, low GCS, cervical spine injury, multiple rib fractures, hemothorax, pneumohemothorax, and MVC/pedestrian/cyclist collisions.
  • The developed risk score accurately predicted BTAI probability, with <0.4% risk for scores <5.

Conclusions:

  • A novel risk stratification tool using clinical data and radiography can predict BTAI in children.
  • This tool can help guide diagnostic decisions and minimize radiation exposure.
  • Further validation studies are recommended due to the rarity of pediatric BTAI.