A1 Refereed original research article in a scientific journal
Serum biomarker trajectory clusters predict functional outcome and quality of life for traumatic brain injury
Authors: Do, Thanh Son; Carnes, Chantal; Yang, Zhihui; Kobeissy, Firas; Yadikar, Hamad; Olbricht, Gayla; Tenovuo, Olli; Posti, Jussi P.; Steyerberg, Ewout W.; Wilson, Lindsay; von Steinbüchel, Nicole; Czeiter, Endre; Buki, Andras; Menon, David K.; Maas, Andrew I. R.; Wang, Kevin K.; Obafemi-Ajayi, Tayo
Publisher: Oxford University Press (OUP)
Publication year: 2026
Journal: Brain Communications
Article number: fcag055
Volume: 8
Issue: 2
eISSN: 2632-1297
DOI: https://doi.org/10.1093/braincomms/fcag055
Publication's open availability at the time of reporting: Open Access
Publication channel's open availability : Open Access publication channel
Web address : https://doi.org/10.1093/braincomms/fcag055
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/516142920
Self-archived copy's licence: CC BY
Self-archived copy's version: Publisher`s PDF
Serum brain-enriched biomarkers are increasingly employed in the clinical evaluation of traumatic brain injury (TBI) to assist with triage, neuroimaging decisions, and prognostication. However, the potential of temporal biomarker trajectories to inform disease monitoring and long-term outcomes remains underexplored. We aim to identify distinct biomarker trajectory (TRAJ) profiles in traumatic brain injury patients and to examine their associations with long-term clinical outcomes. The study included 373, CT-positive Intensive Care Unit (ICU) traumatic brain injury patients (256 with initial Glasgow Coma Scale 3–12) from the Collaborative European NeuroTrauma Effectiveness Research in TBI (CENTER-TBI) core study who had at least two serum samples collected between days 1 and 5 post-injury. Six biomarkers -glial fibrillary acidic protein, ubiquitin C-terminal hydrolase-L1, neurofilament light chain, Tau, S100B, and neuron-specific enolase- were analysed. Optimal cluster solutions were determined using a composite validation index derived from seven internal clustering metrics. Distinct high and low trajectory classes emerged for all biomarkers; each comprising at least 40% of the cohort for five of the biomarkers. Cross-biomarker concordance analysis identified composite high (n = 104) and low (n = 110) TRAJ profiles. Key metrics for evaluating patient outcomes include Glasgow Outcome Scale Extended (GOSE), mortality, and Quality of Life after Brain Injury Overall Scale (QoLIBRI-OS) at 3, 6, and 12 months as well as a prognostic incremental value analysis using a conventional prediction model: International Mission for Prognosis and Analysis of Clinical Trials in TBI (IMPACT). High TRAJ membership is strongly associated with poor functional recovery (GOSE 1–4 at 3–12 months; odds ratio (OR) 8.79 [95% confidence interval (CI): 4.56-16.97]—12.29 [95%CI: 6.19–24.40], P < 0.001) and increased 180-day mortality (OR (14.84 [95%CI: 5.56–39.64], P < 0.001). Conversely, low TRAJ membership predicted favourable recovery (GOSE 6–8 at 3–12 months; OR 7.42 [95%CI: 3.10–17.76]—10.83 [95%CI: 3.65–32.14], P < 0.001) and better quality of life (QoLIBRI-OS ≥52; OR 4.98 [95%CI: 1.92–12.89], P < 0.01). Compared to single day-1 biomarker measurements, trajectory-based profiles yielded larger effect sizes and provided incremental prognostic value when added to the IMPACT prediction model (ΔR² 9–17%, P < 0.05). Overall, repeated biomarker measurements across the acute phase yield superior prognostic accuracy relative to single timepoint assessments. These findings underscore the importance of integrating longitudinal biomarker monitoring into ICU-based traumatic brain injury care and suggest that temporal trajectory profiling may improve prognostic modelling and facilitate more precise patient stratification for both clinical management and interventional studies.
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Funding information in the publication:
This project is funded by European Commission Seventh Framework Programme, JPP is supported by the Research Council of Finland, and the Sigrid Jusélius Foundation.