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 Department of Medicine, University of Cambridge, Cambridge, UK.
Department of Medicine, University of Cambridge, Cambridge, UK.
Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Research and Development, icometrix, Leuven, Belgium.
Department of Radiology, Addenbrooke's Hospital, Cambridge, UK.
Turku Brain Injury Center, Turku University Hospital & University of Turku, Turku, Finland.
Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway; Department of Neurosurgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.
Department of Neurosurgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway; Department of Radiology and Nuclear Medicine, St.Olavs Hospital, Trondheim University Hospital, N-7006, Trondheim, Norway; Department of Radiology, Vestre Viken Hospital Trust, Drammen Hospital, Drammen, Norway.
Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway; Center for Medical Equipment, Technology and Innovation, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.
Center for Neurotauma, MultiOmic & Biomarkers, Department of Neurobiology, Neuroscience Institute, Morehouse School of Medicine, Atlanta, USA.
Department of Neurosurgery, Antwerp University Hospital, Edegem, Belgium; Department of Translational Neurosciences, Faculty of Medicine and Health Science, University of Antwerp, Edegem, Belgium.
Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands.
Department of Medicine, University of Cambridge, Cambridge, UK.
Department of Medicine, University of Cambridge, Cambridge, UK.
Show others and affiliations
2024 (English) In: eClinicalMedicine, E-ISSN 2589-5370, Vol. 75, article id 102751Article in journal (Refereed) Published
Abstract [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 fi t 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 - Q3 4.2-16.7) - 16.7) and DTI at 13 days (3-19) - 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 fi ned as an extended Glasgow Outcome Scale score <8. Existing prognostic models were fi tted 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) - 0.72) and R2 2 17% (11-22)]. - 22)]. Adding DTI metrics significantly fi cantly enhanced all models [best optimism-corrected AUC 0.82 (0.79-0.85) - 0.85) and R2 2 75% (39-100)]. - 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 - 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.
Place, publisher, year, edition, pages Elsevier, 2024. Vol. 75, article id 102751
Keywords [en]
Traumatic brain injury, Concussion, Imaging, Biomarkers, Prognostication, Outcome
National Category
Neurology
Identifiers URN: urn:nbn:se:oru:diva-116768 DOI: 10.1016/j.eclinm.2024.102751 ISI: 001325330400001 PubMedID: 39720677 Scopus ID: 2-s2.0-85202063072 OAI: oai:DiVA.org:oru-116768 DiVA, id: diva2:1905845
Funder EU, FP7, Seventh Framework Programme
Note Funding: EU Seventh Framework Programme, Hannelore Kohl Stiftung, One Mind, Integra LifeSciences, NeuroTrauma Sciences.
2024-10-152024-10-152025-01-09 Bibliographically approved