S100B is an important outcome predictor in traumatic brain injury

Area of Science:

• Neuroscience
• Biomarker Research
• Clinical Traumatology

Background:

• Traumatic brain injury (TBI) poses significant challenges in predicting patient outcomes.
• Established prognostic factors include age, Glasgow Coma Scale (GCS), pupil reactivity, and CT findings.
• The role of specific biomarkers like S100B in refining TBI outcome prediction requires further investigation.

Purpose of the Study:

• To evaluate the predictive value of S100B for TBI outcomes, independent of established parameters.
• To identify clinical and imaging variables correlated with elevated S100B serum levels.
• To determine the optimal timing for S100B sampling to maximize its prognostic utility.

Main Methods:

• Retrospective analysis of 265 TBI patients admitted to a neurointensive care unit.
• Univariate and multivariate proportional odds regression models were employed.
• Area Under the Curve (AUC) analysis assessed the incremental predictive value of S100B.

Main Results:

• Age, pupil reaction, and S100B levels were the strongest predictors of TBI outcome.
• S100B provided an additional 6.6% explained variance in outcome prediction beyond conventional parameters (29.3%).
• Computed tomography (CT) variables were the sole significant predictors of elevated S100B levels.

Conclusions:

• S100B is a valuable biomarker that substantially enhances TBI outcome prediction.
• Optimal S100B sampling for prognostic purposes is recommended between 12 and 36 hours post-trauma.
• Early S100B measurements (within 12 hours) show limited prognostic value.