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Challenges and effectiveness of remote neurological follow-up of children with concussion following TBI using telemedicine.
Ir J Med Sci
January 2025
Emergency Department, University of Health Science, Kanuni Sultan Süleyman Research and Training Hospital, Istanbul, Turkey.
Background: Traumatic brain injury (TBI) in children, including concussion, is one of the major causes of emergency department (ED) registration and a significant burden on the health system.
Objectives: The primary goal of this study was to evaluate the outcomes of a telemedicine strategy for remotely monitoring the children with traumatic brain concussions, focusing on their neurological symptoms and signs. The secondary goal was to explore socioeconomic and educational differences among the participating families.
A deep neural network framework to derive interpretable decision rules for accurate traumatic brain injury identification of infants.
BMC Med Inform Decis Mak
April 2023
Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Objective: We aimed to develop a robust framework to model the complex association between clinical features and traumatic brain injury (TBI) risk in children under age two, and identify significant features to derive clinical decision rules for triage decisions.
Methods: In this retrospective study, four frequently used machine learning models, i.e.
Statistical and machine learning approaches to predict the necessity for computed tomography in children with mild traumatic brain injury.
PLoS One
January 2023
Department of Neurosurgery, Matsudo City General Hospital, Matsudo, Japan.
Background: Minor head trauma in children is a common reason for emergency department visits, but the risk of traumatic brain injury (TBI) in those children is very low. Therefore, physicians should consider the indication for computed tomography (CT) to avoid unnecessary radiation exposure to children. The purpose of this study was to statistically assess the differences between control and mild TBI (mTBI).
View Article and Find Full Text PDFDecision rules (eg, Canadian computed tomography head rule [CCHR] for adults and Pediatric Emergency Care Applied Research Network [PECARN] rule for children/adolescents) are used in emergency settings (emergency room [ER] rules) to assess traumatic brain injuries (TBIs). The rules have a high-sensitivity and near-perfect negative predictive value that help to rule out more severe TBI. Which criteria should be added to the Sport Concussion Assessment Tool 5 (SCAT5) to reach the sensitivity of the ER rules and improve the utility of the SCAT5 for screening for higher-severity head and brain injuries? We performed a comparative analysis of the SCAT5 with the CCHR and PECARN rules.
View Article and Find Full Text PDFValidation of Prediction Rules for Computed Tomography Use in Children With Blunt Abdominal or Blunt Head Trauma: Protocol for a Prospective Multicenter Observational Cohort Study.
JMIR Res Protoc
November 2022
Department of Emergency Medicine, University of California Davis School of Medicine, Sacramento, CA, United States.
Background: Traumatic brain injuries (TBIs) and intra-abdominal injuries (IAIs) are 2 leading causes of traumatic death and disability in children. To avoid missed or delayed diagnoses leading to increased morbidity, computed tomography (CT) is used liberally. However, the overuse of CT leads to inefficient care and radiation-induced malignancies.
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