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Comment & Response
September 2016

Predicting Venous Thromboembolism in Pediatric Trauma Patients

Author Affiliations
  • 1Department of Neurosurgery, Neurosurgery, Louisiana State University Health Sciences Center, Shreveport
JAMA Surg. 2016;151(9):881-882. doi:10.1001/jamasurg.2016.0481

To the Editor We read with interest the study by Connelly et al1 that proposes a risk factor–based predictive model for venous thromboembolism (VTE) in pediatric trauma patients. Based on data from the National Trauma Data Bank, the authors used robust regression techniques by constructing mixed-effect models on a randomly derived training set using a “split-sample” approach with 1:1 randomization. Internal validation of the derived estimates was performed on a training subset by evaluating each model performance by computing the area under the receiver operating characteristic curves. With limited literature entailing VTE risk estimates in a pediatric population, the authors are to be commended for their efforts in developing a rigorous bedside “clinical tool” that could potentially aid in risk stratification, thereby allowing preemptive measures for the mitigation of VTE.