Predicting recovery in patients with mild traumatic brain injury and a normal CT using serum biomarkers and diffusion tensor imaging (CENTER-TBI): an observational cohort study.

Richter, Sophie; Winzeck, Stefan; Correia, Marta M; Czeiter, Endre; Whitehouse, Daniel; Kornaropoulos, Evgenios N; Williams, Guy B; Verheyden, Jan; Das, Tilak; Tenovuo, Olli; Posti, Jussi P; Vik, Anne; Moen, Kent Gøran; Håberg, Asta K; Wang, Kevin; Buki, Andras; Maas, Andrew; Steyerberg, Ewout; Menon, David K; Newcombe, Virginia F J; Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury Magnetic Resonance Imaging (CENTER-TBI MRI) Substudy Participants and Investigators

doi:10.1016/j.eclinm.2024.102751

Article (Scientific journals)

Predicting recovery in patients with mild traumatic brain injury and a normal CT using serum biomarkers and diffusion tensor imaging (CENTER-TBI): an observational cohort study.

Richter, Sophie; Winzeck, Stefan; Correia, Marta M et al.

2024 • In EClinicalMedicine, 75, p. 102751

Peer Reviewed verified by ORBi

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https://hdl.handle.net/2268/328396

DOI
10.1016/j.eclinm.2024.102751

PubMed
39720677

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Keywords :

Biomarkers; Concussion; Imaging; Outcome; Prognostication; Traumatic brain injury; Medicine (all)

Abstract :

[en] [en] BACKGROUND: Even patients with normal computed tomography (CT) head imaging may experience persistent symptoms for months to years after mild traumatic brain injury (mTBI). There is currently no good way to predict recovery and triage patients who may benefit from early follow-up and targeted intervention. We aimed to assess if existing prognostic models can be improved by serum biomarkers or diffusion tensor imaging metrics (DTI) from MRI, and if serum biomarkers can identify patients for DTI. METHODS: We included 1025 patients aged >18 years with a Glasgow Coma Score >12 and normal CT from the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study which recruited between December 19,2014 and December 17, 2017 (NCT02210221). Biomarkers (GFAP, NFL, S100B) were obtained at a median of 8.8 h (Q1-Q3 4.2-16.7) and DTI at 13 days (3-19) after injury. DTI metrics were available in 153 patients for 48 white matter tracts (ICBM-DTI-81 atlas). Incomplete recovery at three months was defined as an extended Glasgow Outcome Scale score <8. Existing prognostic models were fitted with and without biomarkers, or with and without DTI, and internally validated using bootstrapping. FINDINGS: 385 (38%) patients had incomplete recovery. Adding biomarkers did not improve performance beyond the best existing clinical prognostic model [optimism-corrected AUC 0.69 (95% CI 0.65-0.72) and R2 17% (11-22)]. Adding DTI metrics significantly enhanced all models [best optimism-corrected AUC 0.82 (0.79-0.85) and R2 75% (39-100)]. The top three prognostic tracts were the left posterior thalamic radiation, left superior cerebellar peduncle and right uncinate fasciculus. Serum biomarkers could have avoided 1 in 5 DTI scans, with GFAP <12 h and NFL 12-24 h from injury performing best. INTERPRETATION: DTI substantially improved existing prognostic models for functional outcome in patients with mTBI and a normal CT, and biomarkers could help select patients for MRI. If validated, DTI could allow for targeted follow-up and enrichment of clinical trials of early interventions to improve outcome. FUNDING: EU Seventh Framework Programme, Hannelore Kohl Stiftung, One Mind, Integra LifeSciences, NeuroTrauma Sciences.

Disciplines :

Anesthesia & intensive care

Author, co-author :

Richter, Sophie; Department of Medicine, University of Cambridge, Cambridge, UK

Winzeck, Stefan; Department of Medicine, University of Cambridge, Cambridge, UK

Correia, Marta M; MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK

Czeiter, Endre; Neurotrauma Research Group, Szentágothai Research Centre, University of Pécs, Pécs, Hungary ; Department of Neurosurgery, Medical School, University of Pécs, Pécs, Hungary ; HUN-REN-PTE Clinical Neuroscience MR Research Group, University of Pécs, Pécs, Hungary

Whitehouse, Daniel; Department of Medicine, University of Cambridge, Cambridge, UK

Kornaropoulos, Evgenios N; Department of Medicine, University of Cambridge, Cambridge, UK

Williams, Guy B; Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK

Verheyden, Jan; Research and Development, icometrix, Leuven, Belgium

Das, Tilak; Department of Radiology, Addenbrooke's Hospital, Cambridge, UK

Tenovuo, Olli; Turku Brain Injury Center, Turku University Hospital & University of Turku, Turku, Finland

More authors (11 more)

Other collaborator :

Ledoux, Didier ; Centre Hospitalier Universitaire de Liège - CHU > > Service des soins intensifs généraux

Language :

English

Title :

Predicting recovery in patients with mild traumatic brain injury and a normal CT using serum biomarkers and diffusion tensor imaging (CENTER-TBI): an observational cohort study.

Publication date :

September 2024

Journal title :

EClinicalMedicine

eISSN :

2589-5370

Publisher :

Elsevier, England

Volume :

Pages :

102751

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://api.elsevier.com/content/article/PII:S2589537024003304?httpAccept=text/xml

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