To Örebro University

oru.seÖrebro University Publications
System disruptions
We are currently experiencing disruptions on the search portals due to high traffic. We are working to resolve the issue, you may temporarily encounter an error message.
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
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.
MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.
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.
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-116768DOI: 10.1016/j.eclinm.2024.102751ISI: 001325330400001PubMedID: 39720677Scopus ID: 2-s2.0-85202063072OAI: oai:DiVA.org:oru-116768DiVA, id: diva2:1905845
Funder
EU, FP7, Seventh Framework Programme
Note

Funding: EU Seventh Framework Programme, Hannelore Kohl Stiftung, One Mind, Integra LifeSciences, NeuroTrauma Sciences.

Available from: 2024-10-15 Created: 2024-10-15 Last updated: 2025-01-09Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Authority records

Büki, Andras

Search in DiVA

By author/editor
Posti, Jussi P.Büki, Andras
By organisation
School of Medical Sciences
In the same journal
eClinicalMedicine
Neurology

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 9 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf