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376 Neurologic Deterioration in Children with Non-Severe Traumatic Intracranial Hemorrhage: A Multicenter Cross-Sectional Study
Published online by Cambridge University Press: 24 April 2023
Abstract
OBJECTIVES/GOALS: Children with traumatic intracranial hemorrhage are monitored closely for deterioration and need for intervention. Data on risk factors for deterioration in nonsevere head injury are limited. Our objective was to identify children with hemorrhage from non-severe head injury who are at risk for deterioration. METHODS/STUDY POPULATION: We conducted a 10-site cross-sectional study of children 8. Our primary outcome was clinically important hemorrhage after injury and within 96 hours of ED arrival, defined as ED interventions (intubation, hyperosmotic agents, or neurosurgery within 4 hours of arrival) or clinically important deterioration (new or worsening signs/symptoms with an acute change in management). After testing model assumptions, we used logistic regression to identify clinical and neuroradiographic factors associated with clinically important hemorrhage. RESULTS/ANTICIPATED RESULTS: We studied 763 children with intracranial hemorrhage, with a median (IQR) age of 3.0 (0.4, 10.5) years. Initial GCS was mild (14-15) in 89.4% (n=682) and moderate (9-13) in 10.6% (n=81). Clinically important hemorrhage was observed in 19.5% (n=149), and 7.8% (n=59) developed clinically important deterioration. Median (IQR) time to deterioration was 17.6 (4.6, 37.9) hours. In our sample, 16.3% (n=124) underwent critical interventions, 54.9% (n=419) were admitted to an ICU, and 50.1% (n=382) underwent repeat neuroimaging. We found older age (OR 1.6; 95% CI 1.3, 1.9), lower GCS (OR 5.0; 95% CI 2.9, 8.5), and epidural hemorrhage (OR 3.3; 95% CI 2.0, 5.5) was associated with clinically important hemorrhage. DISCUSSION/SIGNIFICANCE: Clinically important hemorrhage occurred in one in five children with non-severe head injury. Clinical and neuroradiographic factors associated with ED interventions and deterioration were identified. Risk stratification algorithms using these data will be developed to assist clinicians caring for children with head injury.
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- Precision Medicine/Health
- Information
- Creative Commons
- This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
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- © The Author(s), 2023. The Association for Clinical and Translational Science