Development and Validation of a Bayesian Network Predicting Intubation Following Hospital Arrival Among Injured Children.

Background: Inadequate airway management can contribute to preventable trauma deaths. Current machine learning tools for predicting intubation in trauma are limited to adult populations and include predictors not readily available at the time of patient arrival. We developed a Bayesian network to predict intubation in injured children and adolescents using observable data available upon or immediately after patient arrival.

Lessons learned from administration of high-dose methylprednisolone sodium succinate for acute pediatric spinal cord injuries.

OBJECTIVE Methylprednisolone sodium succinate (MPSS) has been studied as a pharmacological adjunct that may be given to patients with acute spinal cord injury (ASCI) to improve neurological recovery. MPSS treatment became the standard of care in adults despite a lack of evidence supporting clinical benefit. More recently, new guidelines from neurological surgeon groups recommended no longer using MPSS for ASCI, due to questionable clinical benefit and known complications.

Effect of an educational intervention on nursing staff knowledge, confidence, and practice in the care of children with mild traumatic brain injury.

Background: Nurses are key providers in the care of children with mild traumatic brain injury (mTBI). New treatment recommendations emphasize symptom assessment and brain rest guidelines to optimize recovery. This study compared pediatric trauma core nurses' knowledge, degree of confidence, and perceived change in practice following mTBI education.