ArticleJournal of neurosciences in rural practice
Outcome Prediction after Traumatic Brain Injury: Comparison of the Performance of Routinely Used Severity Scores and Multivariable Prognostic Models.
Article in Journal of neurosciences in rural practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- The Effects of Transport Altitude on Outcomes in Traumatic Brain Injury (HEIGHT-TBI): An Observational Cohort Study.Neurocritical care · 2026Article
- Article
- Association of cerebral microdialysis monitoring with clinical outcomes after traumatic brain injury; A systematic review.Brain & spine · 2026Review
- Interpretable machine learning for the early prediction of acute kidney injury in preterm infants in the neonatal intensive care unit.Renal failure · 2025Article
- A Machine Learning Method for Predicting Acute Kidney Injury in Patients with Intracranial Hemorrhage.Cell biochemistry and biophysics · 2025Article
- Assessing the Predictive Utility of the C-Reactive Protein-to-Lymphocyte Ratio for Mortality in Isolated Traumatic Brain Injury: A Single-Center Retrospective Analysis.Diagnostics (Basel, Switzerland) · 2024Article
- Artificial Intelligence-Enhanced Neurocritical Care for Traumatic Brain Injury : Past, Present and Future.Journal of Korean Neurosurgical Society · 2024Article
- Mapping the costs and socioeconomic characteristics involved in traumatic brain injuries: a scoping review.Journal of rehabilitation medicine · 2024Article
- Turbulent dynamics and whole-brain modeling: toward new clinical applications for traumatic brain injury.Frontiers in neuroinformatics · 2024Review
- Weekend Admission and Mortality in Patients With Traumatic Brain Injury: A Meta-analysis.Korean journal of neurotrauma · 2023Review
- Outcomes and associated factors of traumatic brain injury among adult patients treated in Amhara regional state comprehensive specialized hospitals.BMC emergency medicine · 2023Article
- Machine learning algorithm to predict mortality in critically ill patients with sepsis-associated acute kidney injury.Scientific reports · 2023Article
- Epidemiological characteristics for patients with traumatic brain injury and the nomogram model for poor prognosis: an 18-year hospital-based study.Frontiers in neurology · 2023Article
- A Machine Learning-Based Approach to Predict Prognosis and Length of Hospital Stay in Adults and Children With Traumatic Brain Injury: Retrospective Cohort Study.Journal of medical Internet research · 2022Article
- The Prediction of Outcomes in Patients Admitted With Traumatic Brain Injury Using the Rotterdam Score.Cureus · 2022Article
- An interpretable neural network for outcome prediction in traumatic brain injury.BMC medical informatics and decision making · 2022Article
- Machine learning for the prediction of acute kidney injury in patients with sepsis.Journal of translational medicine · 2022Article
- A Framework to Advance Biomarker Development in the Diagnosis, Outcome Prediction, and Treatment of Traumatic Brain Injury.Journal of neurotrauma · 2022Review
- A machine learning-based risk stratification tool for in-hospital mortality of intensive care unit patients with heart failure.Journal of translational medicine · 2022Article
- Machine Learning Algorithms to Predict In-Hospital Mortality in Patients with Traumatic Brain Injury.Journal of personalized medicine · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesPrognosis of outcome after traumatic brain injury (TBI) is important in the assessment of quality of care and can help improve treatment and outcome. The aim of this study was to compare the prognostic value of relatively simple injury severity scores between each other and against a gold standard model - the IMPACT-extended (IMP-E) multivariable prognostic model. MATERIALS AND
methodsFor this study, 866 patients with moderate/severe TBI from Austria were analyzed. The prognostic performances of the Glasgow coma scale (GCS), GCS motor (GCSM) score, abbreviated injury scale for the head region, Marshall computed tomographic (CT) classification, and Rotterdam CT score were compared side-by-side and against the IMP-E score. The area under the receiver operating characteristics curve (AUC) and Nagelkerke's
resultsComparing AUCs and
conclusionsAll tested simple scores can provide reasonably valid prognosis. However, it is confirmed that well-developed multivariable prognostic models outperform these scores significantly and should be used for prognosis in patients after TBI wherever possible.
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