Potential Predictors of Mortality in Adults with Severe Traumatic Brain Injury
Mortality in adult sTBI patients was strongly associated with impaired hemostasis, obesity, and low neurological status at admission. Machine learning-based modeling demonstrated promising predictive accuracy but is exploratory in nature. Findings should be interpreted with caution due to retrospective design, severe multicollinearity, potential overfitting, and absence of external validation. Larger, prospective, multicenter studies are needed to confirm these results and improve early risk stratification in severe TBI.
Authors
- Oleksandr Valentynovych Oliynyk (ORCID: https://orcid.org/0000-0003-2886-7741)
- Rachel Marta
- Yaroslavska Svitlana
- Kreniov Konstiantyn
- Mamonowa Maryna
- Dobrorodniy Andriy
Institutions
- West Ukrainian National University (UA)
- National Pirogov Memorial Medical University, Vinnytsya (UA)
- I.Horbachevsky Ternopil National Medical University (UA)
- Bogomolets National Medical University (UA)
- University of Rzeszów (PL)
Publication Details
- Journal
- Brain Sciences
- Published
- 2025-09-19
- DOI
- https://doi.org/10.3390/brainsci15091014
- Citations
- 3
- Primary Topic
- Traumatic Brain Injury and Neurovascular Disturbances
- Type
- article
- Field-Weighted Citation Impact
- 4.17