Serum biomarker trajectory clusters predict functional outcome and quality of life for traumatic brain injury

dc.contributor.authorDo, Thanh Son
dc.contributor.authorCarnes, Chantal
dc.contributor.authorYang, Zhihui
dc.contributor.authorKobeissy, Firas
dc.contributor.authorYadikar, Hamad
dc.contributor.authorOlbricht, Gayla
dc.contributor.authorTenovuo, Olli
dc.contributor.authorPosti, Jussi P.
dc.contributor.authorSteyerberg, Ewout W.
dc.contributor.authorWilson, Lindsay
dc.contributor.authorvon Steinbüchel, Nicole
dc.contributor.authorCzeiter, Endre
dc.contributor.authorBuki, Andras
dc.contributor.authorMenon, David K.
dc.contributor.authorMaas, Andrew I. R.
dc.contributor.authorWang, Kevin K.
dc.contributor.authorObafemi-Ajayi, Tayo
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organizationfi=kliiniset neurotieteet|en=Clinical Neurosciences|
dc.contributor.organization-code1.2.246.10.2458963.20.74845969893
dc.converis.publication-id516142920
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/516142920
dc.date.accessioned2026-04-24T21:25:59Z
dc.description.abstract<p>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 (<em>n</em> = 104) and low (<em>n</em> = 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], <em>P</em> < 0.001) and increased 180-day mortality (OR (14.84 [95%CI: 5.56–39.64], <em>P</em> < 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], <em>P</em> < 0.001) and better quality of life (QoLIBRI-OS ≥52; OR 4.98 [95%CI: 1.92–12.89], <em>P</em> < 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%, <em>P</em> < 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.<br></p>
dc.identifier.eissn2632-1297
dc.identifier.urihttps://www.utupub.fi/handle/11111/59617
dc.identifier.urlhttps://doi.org/10.1093/braincomms/fcag055
dc.identifier.urnURN:NBN:fi-fe2026042333321
dc.language.isoen
dc.okm.affiliatedauthorTenovuo, Olli
dc.okm.affiliatedauthorPosti, Jussi
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline3124 Neurology and psychiatryen_GB
dc.okm.discipline3124 Neurologia ja psykiatriafi_FI
dc.okm.discipline3112 Neurosciencesen_GB
dc.okm.discipline3112 Neurotieteetfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherOxford University Press (OUP)
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.relation.articlenumberfcag055
dc.relation.doi10.1093/braincomms/fcag055
dc.relation.ispartofjournalBrain Communications
dc.relation.issue2
dc.relation.volume8
dc.titleSerum biomarker trajectory clusters predict functional outcome and quality of life for traumatic brain injury
dc.year.issued2026

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