Improving prognostic models of six-month clinical outcomes after severe traumatic brain injury with daily inpatient biomarkers: A Bayesian modelling approach

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Bayesian modelling improves prognostication of six-month outcomes in severe traumatic brain injury, highlighting the role of daily biomarkers.

Adding daily biomarkers significantly improved prognostication of unfavorable outcomes at six months after TBI.
The full model using biomarkers achieved an AUC of 0.83, compared to 0.74 for the IMPACT model.
Data from 315 patients with severe TBI were analyzed to validate the enhanced prognostic value.
Improved discrimination for mortality outcomes was confirmed, suggesting daily biomarker integration is beneficial.

Eagle et al. (2025) studied this question.

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Bayesian modelling improves prognostication of six-month outcomes in severe traumatic brain injury, highlighting the role of daily biomarkers.