1. Measures of Intracranial Injury Size Do Not Improve Clinical Decision Making for Children With Mild Traumatic Brain Injuries and Intracranial Injuries
- Author
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Greenberg, Jacob K, Olsen, Margaret A, Johnson, Gabrielle W, Ahluwalia, Ranbir, Hill, Madelyn, Hale, Andrew T, Belal, Ahmed, Baygani, Shawyon, Foraker, Randi E, Carpenter, Christopher R, Ackerman, Laurie L, Noje, Corina, Jackson, Eric M, Burns, Erin, Sayama, Christina M, Selden, Nathan R, Vachhrajani, Shobhan, Shannon, Chevis N, Kuppermann, Nathan, and Limbrick, David D
- Subjects
Clinical and Health Psychology ,Psychology ,Traumatic Head and Spine Injury ,Physical Injury - Accidents and Adverse Effects ,Clinical Research ,Brain Disorders ,Childhood Injury ,Neurosciences ,Pediatric ,Traumatic Brain Injury (TBI) ,Patient Safety ,Injuries and accidents ,Neurological ,Good Health and Well Being ,Brain Concussion ,Brain Injuries ,Traumatic ,Child ,Clinical Decision-Making ,Craniocerebral Trauma ,Glasgow Coma Scale ,Hematoma ,Epidural ,Cranial ,Humans ,Minor head trauma ,Intracranial hemorrhage ,Risk prediction modeling ,Clinical decision support tools ,Pediatrics ,Clinical Sciences ,Neurology & Neurosurgery ,Clinical sciences ,Biological psychology - Abstract
BackgroundWhen evaluating children with mild traumatic brain injuries (mTBIs) and intracranial injuries (ICIs), neurosurgeons intuitively consider injury size. However, the extent to which such measures (eg, hematoma size) improve risk prediction compared with the kids intracranial injury decision support tool for traumatic brain injury (KIIDS-TBI) model, which only includes the presence/absence of imaging findings, remains unknown.ObjectiveTo determine the extent to which measures of injury size improve risk prediction for children with mild traumatic brain injuries and ICIs.MethodsWe included children ≤18 years who presented to 1 of the 5 centers within 24 hours of TBI, had Glasgow Coma Scale scores of 13 to 15, and had ICI on neuroimaging. The data set was split into training (n = 1126) and testing (n = 374) cohorts. We used generalized linear modeling (GLM) and recursive partitioning (RP) to predict the composite of neurosurgery, intubation >24 hours, or death because of TBI. Each model's sensitivity/specificity was compared with the validated KIIDS-TBI model across 3 decision-making risk cutoffs (
- Published
- 2022