Abstract
Traumatic brain injury is a heterogeneous condition, with functional outcomes that can be highly variable among patients who have seemingly similar preinjury characteristics (eg, demographics and comorbidities) and injury factors (eg, mechanism and extent of brain damage). The analysis of large databases led to development of the commonly used IMPACT and CRASH prognostic models, which incorporate variables such as age, Glasgow Coma Scale (GCS) motor score, and pupillary reactivity.1 Although these models have some ability to quantify risk of poor functional outcomes in patients with moderate or severe traumatic brain injury, identification of additional predictive factors is needed to improve model accuracy and better inform clinical practice for individual patients.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
