• Matthew K Bagg, Sarah C Hellewell, Jemma Keeves, Ana Antonic-Baker, Ancelin McKimmie, Amelia J Hicks, Adelle Gadowski, NewcombeVirginia F JVFJPACE Section, Department of Medicine, University of Cambridge, Cambridge, United Kingdom., Karen M Barlow, Zsolt J Balogh, Jason P Ross, Meng Law, Karen Caeyenberghs, Paul M Parizel, Jacinta Thorne, Melissa Papini, Geena Gill, Amanda Jefferson, Jennie L Ponsford, Natasha A Lannin, Terence J O'Brien, Peter A Cameron, D Jamie Cooper, Nick Rushworth, Belinda J Gabbe, and Melinda Fitzgerald.
• Curtin Health Innovation Research Institute, Faculty of Health Sciences, Curtin University, Bentley, WA, Australia.
• J. Neurotrauma. 2024 Mar 8.

AbstractThe Australian Traumatic Brain Injury Initiative (AUS-TBI) aims to co-design a data resource to predict outcomes for people with moderate-severe traumatic brain injury (TBI) across Australia. Fundamental to this resource is the data dictionary, which is an ontology of data items. Here, we report the systematic review and consensus process for inclusion of biological markers in the data dictionary. Standardized database searches were implemented from inception through April 2022. English-language studies evaluating association between a fluid, tissue, or imaging marker and any clinical outcome in at least 10 patients with moderate-severe TBI were included. Records were screened using a prioritization algorithm and saturation threshold in Research Screener. Full-length records were then screened in Covidence. A pre-defined algorithm was used to assign a judgement of predictive value to each observed association, and high-value predictors were discussed in a consensus process. Searches retrieved 106,593 records; 1,417 full-length records were screened, resulting in 546 included records. Two hundred thirty-nine individual markers were extracted, evaluated against 101 outcomes. Forty-one markers were judged to be high-value predictors of 15 outcomes. Fluid markers retained following the consensus process included ubiquitin C-terminal hydrolase L1 (UCH-L1), S100, and glial fibrillary acidic protein (GFAP). Imaging markers included computed tomography (CT) scores (e.g., Marshall scores), pathological observations (e.g., hemorrhage, midline shift), and magnetic resonance imaging (MRI) classification (e.g., diffuse axonal injury). Clinical context and time of sampling of potential predictive indicators are important considerations for utility. This systematic review and consensus process has identified fluid and imaging biomarkers with high predictive value of clinical and long-term outcomes following moderate-severe TBI.

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