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The Australian Traumatic Brain Injury Initiative: Systematic Review of Predictive Value of Biological Markers for People With Moderate-Severe Traumatic Brain Injury.
Bagg, Matthew K; Hellewell, Sarah C; Keeves, Jemma; Antonic-Baker, Ana; McKimmie, Ancelin; Hicks, Amelia J; Gadowski, Adelle; Newcombe, Virginia F J; Barlow, Karen M; Balogh, Zsolt J; Ross, Jason P; Law, Meng; Caeyenberghs, Karen; Parizel, Paul M; Thorne, Jacinta; Papini, Melissa; Gill, Geena; Jefferson, Amanda; Ponsford, Jennie L; Lannin, Natasha A; O'Brien, Terence J; Cameron, Peter A; Cooper, D Jamie; Rushworth, Nick; Gabbe, Belinda J; Fitzgerald, Melinda.
Affiliation
  • Bagg MK; Curtin Health Innovation Research Institute, Faculty of Health Sciences, Curtin University, Bentley, WA, Australia.
  • Hellewell SC; Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia.
  • Keeves J; Centre for Pain IMPACT, Neuroscience Research Australia, Sydney, NSW, Australia.
  • Antonic-Baker A; School of Health Sciences, University of Notre Dame Australia, Fremantle, WA, Australia.
  • McKimmie A; Curtin Health Innovation Research Institute, Faculty of Health Sciences, Curtin University, Bentley, WA, Australia.
  • Hicks AJ; Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia.
  • Gadowski A; School of Medicine, Faculty of Health Sciences, Curtin University, Bentley, WA, Australia.
  • Newcombe VFJ; Curtin Health Innovation Research Institute, Faculty of Health Sciences, Curtin University, Bentley, WA, Australia.
  • Barlow KM; Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia.
  • Balogh ZJ; School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
  • Ross JP; Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia.
  • Law M; School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
  • Caeyenberghs K; Monash-Epworth Rehabilitation Research Centre, Epworth Healthcare, Melbourne, VIC, Australia.
  • Parizel PM; School of Psychological Sciences, Monash University, Melbourne, VIC, Australia.
  • Thorne J; School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
  • Papini M; PACE Section, Department of Medicine, University of Cambridge, Cambridge, United Kingdom.
  • Gill G; Acquired Brain Injury in Children Research Program, Queensland Children's Hospital, Brisbane, QLD, Australia.
  • Jefferson A; Centre for Children's Health Research, University of Queensland, Brisbane, QLD, Australia.
  • Ponsford JL; Department of Traumatology, John Hunter Hospital and University of Newcastle, Newcastle, NSW, Australia.
  • Lannin NA; Molecular Diagnostic Solutions, Health and Biosecurity, CSIRO, Australia.
  • O'Brien TJ; Alzheimer's Disease Research Center, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Cameron PA; Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Cooper DJ; Department of Neuroscience and Radiology, Monash University, Alfred Health, Melbourne, VIC, Australia.
  • Rushworth N; Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia.
  • Gabbe BJ; University of Antwerp, Edegem, Belgium.
  • Fitzgerald M; Department of Radiology, Royal Perth Hospital and University of Western Australia, Perth, WA, Australia.
J Neurotrauma ; 2024 Mar 08.
Article in En | MEDLINE | ID: mdl-38115587
ABSTRACT
The 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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Full text: 1 Database: MEDLINE Type of study: Systematic_reviews Language: En Year: 2024 Type: Article

Full text: 1 Database: MEDLINE Type of study: Systematic_reviews Language: En Year: 2024 Type: Article