The Australian Traumatic Brain Injury Initiative: systematic review of predictive value of biological markers for people with moderate-severe traumatic brain injury.

ADULT BRAIN INJURY BIOMARKERS MRI PEDIATRIC BRAIN INJURY TRAUMATIC BRAIN INJURY

Journal

Journal of neurotrauma
ISSN: 1557-9042
Titre abrégé: J Neurotrauma
Pays: United States
ID NLM: 8811626

Informations de publication

Date de publication:
19 Dec 2023
Historique:
medline: 20 12 2023
pubmed: 20 12 2023
entrez: 20 12 2023
Statut: aheadofprint

Résumé

The Australian Traumatic Brain Injury Initiative (AUS-TBI) aims to co-design a data resource to predict outcomes for people with moderate-severe TBI across Australia. Fundamental to this resource is the data dictionary; an ontology of data items. Here, we report the systematic review and consensus process for inclusion of biological markers in the data dictionary. Standardised 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 ten patients with moderate-severe TBI were included. Records were screened using a prioritisation algorithm and saturation threshold in Research Screener. Full-length records were then screened in Covidence. A predefined 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. 239 individual markers were extracted, evaluated against 101 distinct outcomes. 44 markers were judged to be high-value predictors of 15 outcomes. Fluid markers retained following the consensus process included neuron specific enolase, ubiquitin C-terminal Hydrolase L1 and glial fibrillary acidic protein. Imaging markers included CT scores (e.g., Marshall), pathological observations (e.g., haemorrhage, midline shift), and MRI (e.g., diffuse axonal injury). The 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.

Sections du résumé

BACKGROUND BACKGROUND
The Australian Traumatic Brain Injury Initiative (AUS-TBI) aims to co-design a data resource to predict outcomes for people with moderate-severe TBI across Australia. Fundamental to this resource is the data dictionary; an ontology of data items. Here, we report the systematic review and consensus process for inclusion of biological markers in the data dictionary.
METHODS METHODS
Standardised 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 ten patients with moderate-severe TBI were included. Records were screened using a prioritisation algorithm and saturation threshold in Research Screener. Full-length records were then screened in Covidence. A predefined algorithm was used to assign a judgement of predictive value to each observed association, and high-value predictors were discussed in a consensus process.
FINDINGS RESULTS
Searches retrieved 106,593 records. 1,417 full-length records were screened, resulting in 546 included records. 239 individual markers were extracted, evaluated against 101 distinct outcomes. 44 markers were judged to be high-value predictors of 15 outcomes. Fluid markers retained following the consensus process included neuron specific enolase, ubiquitin C-terminal Hydrolase L1 and glial fibrillary acidic protein. Imaging markers included CT scores (e.g., Marshall), pathological observations (e.g., haemorrhage, midline shift), and MRI (e.g., diffuse axonal injury). The clinical context and time of sampling of potential predictive indicators are important considerations for utility.
CONCLUSIONS CONCLUSIONS
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.

Identifiants

pubmed: 38115587
doi: 10.1089/neu.2023.0464
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Matthew Bagg (M)

Perth, Australia; matthew.bagg@nd.edu.au.

Sarah Claire Hellewell (SC)

Curtin University, 1649, Faculty of Health Sciences, 8 Verdun Street, Nedlands, Western Australia, Australia, 6009.
Curtin Health Innovation Research Institute Biosciences, 287073, Bentley, Western Australia, Australia, 6845; sarah.hellewell@curtin.edu.au.

Jemma Keeves (J)

Perth, Australia; jemma.keeves@curtin.edu.au.

Ana Antonic-Baker (A)

Melbourne, Australia; ana.antonic-baker@monash.edu.

Ancelin McKimmie (A)

Melbourne, Australia; ancelin.mckimmie@monash.edu.

Amelia Hicks (A)

Monash University, 2541, Monash-Epworth Rehabilitation Research Centre, 185-187 Hoddle St, Clayton, Victoria, Australia, 3800.
Monash University, 2541, Monash University, 13 Ranfurlie Crescent, 13 Ranfurlie Crescent, Clayton, Victoria, Australia, 3800; amelia.hicks@mountsinai.org.

Adelle Gadowski (A)

Melbourne, Australia; adelle.gadowski@monash.edu.

Virginia Newcombe (V)

University of Cambridge, Division of Anaesthesia, Addenbrookes Hospital, Cambridge, Cambs, United Kingdom of Great Britain and Northern Ireland, cb2 0qq; vfjn2@cam.ac.uk.

Karen Maria Barlow (KM)

University of Queensland Faculty of Medicine and Biomedical Sciences, 420004, Child Health Research Centre, Rm 610, level 6, Childrens Health Research Centre, 62 Graham Street, South Brisbane, South Brisbane, Queensland, Australia, 4010.
University of Calgary, Department of Paediatrics, Alberta Children's Hospital, Calgary, Alberta, Canada; k.barlow@uq.edu.au.

Zsolt Balogh (Z)

Sydney, Australia; Zsolt.Balogh@health.nsw.gov.au.

Jason Ross (J)

Brisbane, Australia; jason.ross@csiro.au.

Meng Law (M)

Monash University, Neuroscience, Melbourne, Victoria, Australia.
Alfred Hospital, 5390, Department of Radiology , Melbourne, Victoria, Australia.
Monash University, Department of Electrical and Computer Systems Engineering, Melbourne, Victoria, Australia; Meng.law@monash.edu.

Karen Caeyenberghs (K)

Melbourne, Australia; k.caeyenberghs@deakin.edu.au.

Paul Parizel (P)

Perth, Australia; Paul.Parizel@health.wa.gov.au.

Jacinta Thorne (J)

Perth, Australia; jacinta.thorne@curtin.edu.au.

Melissa Papini (M)

Perth, Australia; melissa.papini@curtin.edu.au.

Geena Gill (G)

Perth, Australia; Geena.gill@student.curtin.edu.au.

Amanada Jefferson (A)

Perth, Australia; amanda.jefferson@curtin.edu.au.

Jennie Ponsford (J)

Monash University, School of Psychological Sciences , 18 Innovation Walk, Clayton, Victoria, Australia, 3800.
Monash Epworth Rehabilitation Research Centre, Epworth Healthcare, 185-187 Hoddle Street, Richmond, Victoria, Australia; jennie.ponsford@monash.edu.

Natasha A Lannin (NA)

Monash University, 2541, Department of Neuroscience, Central Clinical School, 99 Commercial Rd, Melbourne, Victoria, Australia, 3004.
Alfred Health, 5392, 55 Commercial Rd, Melbourne, Victoria, Australia, 3181; natasha.lannin@monash.edu.

Terence J O'Brien (TJ)

Monash University, Neuroscience, Melbourne, Victoria, Australia.
Melbourne Health, 6451, Department of Neurology, Parkville, Victoria, Australia.
Alfred Health, 5392, Department of Neurology, Melbourne, Victoria, Australia.
The University of Melbourne, 2281, Department of Medicine, Melbourne, Victoria, Australia; terence.obrien@monash.edu.

Peter Cameron (P)

Monash Unniversity, Epidemiology and Preventive Medicine, Commercial Rd Prarhan, Melbourne, Victoria, Australia, 3000; peter.cameron@monash.edu.

D James Cooper (DJ)

The Alfred, Intensive Care, Commercial Road, Melbourne, Victoria, Australia, 3004.
Monash University, ANZIC-RC, Level 6, The Alfred Centre, 99 Commercial Road, Melbourne, Victoria, Australia, 3004; jamie.cooper@monash.edu.

Nick Rushworth (N)

Brain Injury Australia, Sydney, New South Wales, Australia; nick.rushworth@braininjuryaustralia.org.au.

Belinda Gabbe (B)

Melbourne, Australia; belinda.gabbe@monash.edu.

Melinda Fitzgerald (M)

Curtin University, Curtin Health Innovation Research Institute, Building RR, QEII Medical Centre, 8 Verdun St, Nedlands, Western Australia, Australia, 6009; lindy.fitzgerald@curtin.edu.au.

Classifications MeSH