| Autor: |
Yu N; School of Medicine, University of California, Davis, Sacramento, California, USA., Castillo J; Department of Neurological Surgery, University of California, Davis, Sacramento, California, USA., Kohler JE; Department of Surgery, University of California, Davis, Sacramento, California, USA., Marcin JP; Department of Pediatrics, University of California, Davis, Sacramento, California, USA., Nishijima DK; Department of Emergency Medicine, University of California, Davis, Sacramento, California, USA., Mo J; School of Medicine, University of California, Davis, Sacramento, California, USA., Kennedy L; Center for Nursing Science, University of California, Davis, Sacramento, California, USA., Shahlaie K; Department of Neurological Surgery, University of California, Davis, Sacramento, California, USA., Zwienenberg M; Department of Neurological Surgery, University of California, Davis, Sacramento, California, USA. |
| Abstrakt: |
Children with mild traumatic brain injury (mTBI) and intracranial injury (ICI) often receive unnecessary imaging and hospital admission, leading to avoidable burdens on patients and health systems. While most of these patients do not develop critical neurological injuries, identifying those at risk would allow for a more optimal determination of the appropriate level of initial emergency care. The Brain Injury Guidelines (BIG) were developed as a triage tool to identify adult patients with mTBI and ICI who can benefit from repeat imaging, hospital admission, or neurosurgical consultation. Here, we sought to validate BIG in children at a Level I trauma center and determine if the BIG algorithm can accurately identify which patients with mTBI/ICI have critical neurosurgical injuries. We hypothesize that the BIG can identify critical neurological injuries more accurately than the Glasgow Coma Scale (GCS) alone and that more severe injury according to BIG is associated with worse patient outcome. We retrospectively reviewed TBI admissions at a single center (2017-2023) using an institutional registry. Patients included (0-17 years) had an initial head computerized tomography scan with ICI and a GCS of 14-15. Patients were retrospectively classified into the BIG categories (BIG 1, 2, or 3). Medical records were reviewed to identify clinically important TBI (ciTBI): death, neurological deterioration, neurosurgical intervention, intubation >24 h, or hospital admission >48 h due to TBI. Repeat imaging studies obtained were evaluated for progression of injury. The incidence of clinically important TBI (ciTBI) and imaging progression were recorded and compared across BIG categories. Outcomes were evaluated using the Glasgow Outcome Score Extended (GOS-E) 6 months after injury. Univariable and chi-square tests were used to analyze comparisons. Overall, 804 subjects were included in the analysis of which 551 (68.5%) were transfers. Overall, 175 (21.8%) patients had a BIG 1, 402 (50.0%) a BIG 2, and 227 (28.2%) a BIG 3 injury. CiTBI occurred among 64 (8.0%) patients overall, and in 1 (0.6%), 4 (1.0%), and 59 (26.0%) of the BIG 1, 2, and 3 injuries ( p < 0.0001). Progression on repeat imaging associated with neurological decline, neurosurgical intervention or resulting in additional evaluation was noted in 0 (0%), 2 (0.5%), and 41 (18.0%) of the BIG 1, 2, and 3 injuries ( p < 0.001). Amongst 471 patients (58.6%) with available 6-month patient outcomes, 98% had a GOS-E ≥5 and no outcome difference between BIG categories was observed. Risk stratification of mild TBI using BIG allowed for reasonable identification of children who subsequently develop ciTBI, suggesting that BIG classification can aid in triage and management of patients who might benefit from neurosurgical consultation, repeat imaging, and potentially transfer to a dedicated trauma center. More severe injury according to BIG was not associated with a worse patient outcome. |
