Meera Kotagal · Venous thromboembolic risk stratification in pediatric trauma: A Pediatric Trauma Society Research Committee multicenter analysis
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Article1 min read·Published Jan 2021Older

Venous thromboembolic risk stratification in pediatric trauma: A Pediatric Trauma Society Research Committee multicenter analysis

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Article · Jan 2021 · 1 min read

In brief

In brief

This multicenter study validates a VTE risk prediction algorithm for injured children using corrected trauma registry data from 52,524 patients across 10 institutions. Despite registry inaccuracies and institutional variability, the 10-variable algorithm demonstrated strong discriminatory performance (sensitivity 69%, AUROC 0.96) for identifying pediatric trauma patients at risk for venous thromboembolism.

Written by the GCMD Library team from the article.

Meera Kotagal

Background: Venous thromboembolism (VTE) in injured children is rare, but its consequences are significant. Several risk stratification algorithms for VTE in pediatric trauma exist with little consensus, and all are hindered in development by relying on registry data with known inaccuracies. We performed a multicenter review to evaluate trauma registry fidelity and confirm the effectiveness of one established algorithm across diverse centers. Methods: Local trauma registries at 10 institutions were queried for all patients younger than 18 years admitted between 2009 and 2018. Additional chart review was performed on all "VTE" cases and random non-VTE controls to assess registry errors. Corrected data were then applied to our prediction algorithm using 10 real-time variables (Glasgow Coma Scale, age, sex, intensive care unit admission, transfusion, central line placement, lower extremity/pelvic fracture, major surgery) to calculate VTE risk scores. Contingency table classifiers and the area under a receiver operator characteristic curve were calculated. Results: Registries identified 52,524 pediatric trauma patients with 99 episodes of VTE; however, chart review found that 13 cases were misclassified for a corrected total of 86 cases (0.16%). After correction, the algorithm still displayed strong performance in discriminating VTE-fated encounters (sensitivity, 69%; area under the receiver operating characteristic curve, 0.96). Furthermore, despite wide institutional variabilit

Statements in this article

  1. Venous thromboembolism in injured children is rare, but its consequences are significant.

    EstablishedBackground
  2. Several risk stratification algorithms for VTE in pediatric trauma exist with little consensus, and all are hindered in development by relying on registry data with known inaccuracies.

    EstablishedBackground
  3. Local trauma registries at 10 institutions were queried for all patients younger than 18 years admitted between 2009 and 2018.

    ResearchMethods
  4. The prediction algorithm uses 10 real-time variables: Glasgow Coma Scale, age, sex, intensive care unit admission, transfusion, central line placement, lower extremity/pelvic fracture, and major surgery to calculate VTE risk scores.

    ResearchMethods
  5. Registries identified 52,524 pediatric trauma patients with 99 episodes of VTE; however, chart review found that 13 cases were misclassified for a corrected total of 86 cases (0.16%).

    ResearchResults
  6. After correction, the algorithm displayed strong performance in discriminating VTE-fated encounters with sensitivity of 69% and area under the receiver operating characteristic curve of 0.96.

    ResearchResults

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