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Clinical Trial
. 2019 Oct 15;36(20):2863-2871.
doi: 10.1089/neu.2018.5809. Epub 2019 Jul 9.

Association of Very Early Serum Levels of S100B, Glial Fibrillary Acidic Protein, Ubiquitin C-Terminal Hydrolase-L1, and Spectrin Breakdown Product with Outcome in ProTECT III

Affiliations
Clinical Trial

Association of Very Early Serum Levels of S100B, Glial Fibrillary Acidic Protein, Ubiquitin C-Terminal Hydrolase-L1, and Spectrin Breakdown Product with Outcome in ProTECT III

Michael Frankel et al. J Neurotrauma. .

Abstract

Rapid risk-stratification of patients with acute traumatic brain injury (TBI) would inform management decisions and prognostication. The objective of this serum biomarker study (Biomarkers of Injury and Outcome [BIO]-Progesterone for Traumatic Brain Injury, Experimental Clinical Treatment [ProTECT]) was to test the hypothesis that serum biomarkers of structural brain injury, measured at a single, very early time-point, add value beyond relevant clinical covariates when predicting unfavorable outcome 6 months after moderate-to-severe acute TBI. BIO-ProTECT utilized prospectively collected samples obtained from subjects with moderate-to-severe TBI enrolled in the ProTECT III clinical trial of progesterone. Serum samples were obtained within 4 h after injury. Glial fibrillary acidic protein (GFAP), S100B, αII-spectrin breakdown product of molecular weight 150 (SBDP150), and ubiquitin C-terminal hydrolase-L1 (UCH-L1) were measured. The association between log-transformed biomarker levels and poor outcome, defined by a Glasgow Outcome Scale-Extended (GOS-E) score of 1-4 at 6 months post-injury, were estimated via logistic regression. Prognostic models and a biomarker risk score were developed using bootstrapping techniques. Of 882 ProTECT III subjects, samples were available for 566. Each biomarker was associated with 6-month GOS-E (p < 0.001). Compared with a model containing baseline patient variables/characteristics, inclusion of S100B and GFAP significantly improved prognostic capacity (p ≤ 0.05 both comparisons); conversely, UCH-L1 and SBDP did not. A final predictive model incorporating baseline patient variables/characteristics and biomarker data (S100B and GFAP) had the best prognostic capability (area under the curve [AUC] = 0.85, 95% confidence interval [CI]: CI 0.81-0.89). Very early measurements of brain-specific biomarkers are independently associated with 6-month outcome after moderate-to-severe TBI and enhance outcome prediction.

Keywords: GFAP; S100B; UCH-L1; biomarker; traumatic brain injury.

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Figures

<b>FIG. 1.</b>
FIG. 1.
Biomarker availability. Flow chart depicting the number of subjects with acute biomarker data available, within range, and with primary outcome.
<b>FIG. 2.</b>
FIG. 2.
Forest plot depicting the unadjusted and adjusted association between individual biomarkers and unfavorable outcome (Glasgow Outcome Scale-Extended [GOS-E] 1–4). The adjusted association includes age, gender, Rotterdam computed tomography (CT) score, and Glasgow Coma Scale (GCS) score.
<b>FIG. 3.</b>
FIG. 3.
Rate of unfavorable outcome (Glasgow Outcome Scale-Extended [GOS-E] 1–4) as a function of the biomarker risk score. Rate of unfavorable outcome is the percentage of patients with a GOS-E score of 1–4 at 6 months after acute traumatic brain injury (TBI). The risk score is derived for each patient based on the number of high biomarker values.

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