Articles: traumatic-brain-injuries.
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We developed a patient- and family-centered traumatic brain injury (TBI) transitional care intervention, called BETTER (Brain Injury Education, Training, and Therapy to Enhance Recovery), to improve quality of life (via SF-36) of younger TBI patients of different racial groups discharged home from acute hospital care and caregivers. We describe our design, methods, and baseline characteristics for our feasibility study. ⋯ BETTER is among the first TBI transitional care intervention to address needs/preferences for younger TBI patients of different racial groups after discharge home from acute hospital care and families. Findings can be used to inform future work.
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Pediatric emergency care · May 2022
Comparison of Same and Different Level Height Falls on Subsequent Midline Shift in Pediatric Traumatic Brain Injury.
Up to 44% of pediatric traumatic brain injury occurs as a result of a fall. We hypothesized that a fall from height is associated with higher risk for subsequent midline shift in pediatric traumatic brain injury compared with a fall from same level. ⋯ In kids with traumatic brain injury, trauma activations due to falls from the same level are associated with a 2.5-fold higher risk of subsequent midline shift, compared with falling from height.
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Minerva anestesiologica · May 2022
ReviewPerioperative management of severe brain injured patients.
Traumatic brain injury (TBI) is a leading cause of mortality and disability worldwide. Head injured patients may frequently require emergency neurosurgery. ⋯ This practical concise narrative review focused mainly on: 1) the management of severe TBI patients with neurosurgical lesions admitted to a spoke center (i.e. hospital without neurosurgery) and therefore needing a transfer to the hub center (i.e. hospital with neurosurgery); 2) the management of severe TBI patients with intracranial hypertension/brain herniation awaiting for neurosurgery; and 3) the neuromonitoring-oriented management in the immediate post-operative period. The proposals presented in this review mainly apply to severe TBI patients admitted to high-income countries.
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Patients with mild traumatic brain injury on CT scan are routinely admitted for inpatient observation. Only a small proportion of patients require clinical intervention. We recently developed a decision rule using traditional statistical techniques that found neurologically intact patients with isolated simple skull fractures or single bleeds <5 mm with no preinjury antiplatelet or anticoagulant use may be safely discharged from the emergency department. The decision rule achieved a sensitivity of 99.5% (95% CI 98.1% to 99.9%) and specificity of 7.4% (95% CI 6.0% to 9.1%) to clinical deterioration. We aimed to transparently report a machine learning approach to assess if predictive accuracy could be improved. ⋯ We found no clear advantages over the traditional prediction methods, although the models were, effectively, developed using a smaller data set, due to the need to divide it into training, calibration and validation sets. Future research should focus on developing models that provide clear advantages over existing classical techniques in predicting outcomes in this population.
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Investigating neurosurgical interventions for traumatic brain injury (TBI) involves complex methodological and practical challenges. In the present report, we have provided an overview of the current state of neurosurgical TBI research and discussed the key challenges and possible solutions. ⋯ In settings in which traditional RCTs are difficult to conduct and substantial confounding by indication can be present, observational studies using an instrumental variable analysis and "pragmatic" RCTs are promising alternatives. Embedding TBI research into standard clinical practice should be more frequently considered but will require fundamental modifications to the current health care system. Finally, multimodality outcome assessment will be key to improving future surgical and nonsurgical TBI research.