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Trial registered on ANZCTR
Registration number
ACTRN12620001360909
Ethics application status
Approved
Date submitted
25/09/2020
Date registered
17/12/2020
Date last updated
10/05/2023
Date data sharing statement initially provided
17/12/2020
Type of registration
Prospectively registered
Titles & IDs
Public title
PREdiction and Diagnosis using Imaging and Clinical biomarkers Trial in Traumatic Brain Injury
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Scientific title
Diagnosis and Prognosis of Traumatic Brain Injury Outcome using Magnetic Resonance Imaging
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Secondary ID [1]
302352
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None
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Universal Trial Number (UTN)
U1111-1258-5007
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Trial acronym
PREDICT-TBI
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
Traumatic Brain Injury
319132
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Condition category
Condition code
Injuries and Accidents
317095
317095
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0
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Other injuries and accidents
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Neurological
317096
317096
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0
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Other neurological disorders
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Intervention/exposure
Study type
Observational
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Patient registry
False
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Target follow-up duration
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Target follow-up type
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Description of intervention(s) / exposure
Participants will undergo blood tests for specific biomarker analyses and Magnetic Resonance scans.
Blood samples (25ml) will be taken at the following times by a phlebotomy trained nurse or phlebotomist:
Within 36 hours of injury
Between 48 and 72 hours of injury
Day 4 post injury
Day 7 post injury
Day 14 post injury
3 month post injury (+/- 14 days)
MRI scans will be done up to 3 times by trained radiographers and/or technicians with medical cover always provided, at the following timepoints:
Following discharge from ICU
3 months post injury (+/- 14 days)
6 months post injury (+/- 21 days)
MRIs will take approximately one hour.
All study procedures will cease six months post injury.
Study outcome questionnaires will be administered 3 and 6 months post injury, either face to face or over the phone by a research coordinator.
These questionnaires are PHQ-9, PHQ-15, BRS, BRISC, GAD-7, PROMIS, GOS-E, PCL-5
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Intervention code [1]
318642
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Diagnosis / Prognosis
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Comparator / control treatment
No control group
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Control group
Uncontrolled
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Outcomes
Primary outcome [1]
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The combined ability of MRI scans, blood biomarkers (Circulating cell-free DNA (ccfDNA) UCHL1 levels (GE/ml), , GFAP, NF-L, Aß40, Aß42, total tau and phospho-tau derivatives (pg/ml), Neural exosomes (particles/ml) and neural exosome biomarker profile to predict patient outcome
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Assessment method [1]
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Timepoint [1]
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Timepoints are: Blood Samples: Within 36 hours of injury, between 48 - 72 hours post injury, Day 4 post injury, Day 7 post injury Day 14 post injury, 3 month post injury (+/- 14 days). MRI will be done: Post ICU discharge, 3 months post injury (+/- 14 days) (bloods will also be taken on this day - as above) and 6 months post injury (+/- 21 days). Outcome Measure Questionnaires will be done 3 months post injury (+/- 14 days) 6 months post injury (+/- 21 days).
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Secondary outcome [1]
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The effectiveness of the use of MRI with advanced neuro-imaging such as the Diffusion Tension Imaging (DTI) and tractography to predict patient outcome.
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Assessment method [1]
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Timepoint [1]
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6 months post injury
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Secondary outcome [2]
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The effectiveness of the use of blood biomarkers will be reflected by a validated panel of neuro-inflammatory biomarkers that reflect blood-brain-barrier disruption.
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Assessment method [2]
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Timepoint [2]
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6 months post injury
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Secondary outcome [3]
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Patient Reported Outcome Measurement Information System - questionnaire that measures patient-reported outcomes (PROs), such as pain, fatigue, physical functioning, emotional distress, and social role participation that have a major impact on quality-of-life
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Assessment method [3]
389201
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Timepoint [3]
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6 months post injury
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Secondary outcome [4]
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Generalised Anxiety Disorder 7 item Scale - a questionnaire for diagnosing common anxiety disorders
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Assessment method [4]
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Timepoint [4]
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6 months post injury
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Secondary outcome [5]
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Post Traumatic Stress Disorder Checklist - A 20-item self report scale to assess symptoms of PTSD
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Assessment method [5]
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Timepoint [5]
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6 months post injury
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Secondary outcome [6]
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Patient Health Assessment 9 questionnaire - to monitor the severity of depression and response to treatment
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Assessment method [6]
389844
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Timepoint [6]
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6 months post injury
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Secondary outcome [7]
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Patient Health Assessment 15 questionnaire - to monitor the severity of depression and response to treatment
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Assessment method [7]
389845
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Timepoint [7]
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6 months post injury
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Secondary outcome [8]
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Brief Resilience Scale - an assessment to assess resilience. It consists of six statements for individuals to agree or disagree with. When completed it generates a resilience score of between 6 and 30
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Assessment method [8]
389846
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Timepoint [8]
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6 months post injury
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Secondary outcome [9]
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Brief Risk Resilience Index for Screening - questionnaire which assesses processes of emotion regulation, including risk for experiencing negative emotional states (negativity bias) and coping responses (emotional resilience, social skills).
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Assessment method [9]
389847
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Timepoint [9]
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6 months post injury
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Secondary outcome [10]
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Glasgow Outcome Scale - Extended (GOS-E) - this is a global scale for functional outcome that rates patient status into one of five categories
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Assessment method [10]
389850
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Timepoint [10]
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6 months post injury
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Eligibility
Key inclusion criteria
1. Age greater than or equal to 18 years old
2. Diagnosed with moderate or severe TBI*, with or without other injuries.
*TBI Definition - A TBI will be defined based on the post-resuscitation Glasgow Coma Scale (GCS) in the pre-hospital period and the first 24 hours of ICU admission, if admitted to ICU. Moderate and Severe TBI are defined by the following categories of GCS if in the opinion of the treating team GCS is not solely due to intoxication, sedation, or extracranial injury
• Moderate TBI is defined as a GCS score of 9-12
• Severe TBI is defined as a GCS score of less than or equal to 8
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Minimum age
18
Years
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Maximum age
No limit
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Sex
Both males and females
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Can healthy volunteers participate?
No
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Key exclusion criteria
1. Previous major stroke
2. Pregnancy, or may be pregnant
3. In the opinion of the investigator the participant would be unlikely to be able to comply with study procedures and follow up (e.g. lives overseas).
4. Presence of underlying disease with a life expectancy of less than 6 months
5. Known contraindication to MRI that will prevent study procedures
6. Patients who have suffered a devastating TBI with either progression towards brain death at the time of assessment or where the treating medical team are not committed to ongoing full supportive care
7. Traumatic brain injury occurred more than 72 hours ago
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Study design
Purpose
Natural history
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Duration
Longitudinal
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Selection
Defined population
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Timing
Prospective
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Statistical methods / analysis
Deep learning models for each of the MR (Magnetic Resonance), CT (Computerized Tomography), MR + CT, MR + CT + Biomarkers data will be constructed and trained for classifying and predicting the clinical outcome measures such as GOS-E (Glasgow Extended Scale - Extended). To ensure numbers are sufficient for the models, data augmentation will be conducted to generate a balanced training set, which is well accepted in the medical image analysis literature. The features, measures and regions within the data found to be most influential in the training and prediction of the clinical outcomes will be visualised, analysed and compared to clinical workflows to determine which measures and data is most beneficial for (Traumatic Brain Injury) TBI prognostication. Additionally, we will investigate the use of transfer learning, whereby an initial model is trained from a separate dataset and is then fine-tuned on the desired dataset. Specifically, MR images from the open Human Connectome Project (HCP) or the OASIS Study datasets could be used to boost the training numbers of the deep learning models, effectively increasing the number of images to build the generative models across the three timepoints. The state-of-the-art HPC facilities at UQ’s Research Computing Centre (RCC) would be employed to undertake the analysis. A standard n-fold cross validation will be used to split the imaging data into training and validation sets, while compared to standard regression modelling.
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Recruitment
Recruitment status
Recruiting
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Date of first participant enrolment
Anticipated
1/02/2021
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Actual
17/07/2021
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Date of last participant enrolment
Anticipated
1/12/2023
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Actual
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Date of last data collection
Anticipated
31/05/2024
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Actual
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Sample size
Target
300
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Accrual to date
123
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Final
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Recruitment in Australia
Recruitment state(s)
NSW,NT,QLD,VIC
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Recruitment hospital [1]
17582
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Royal Brisbane & Womens Hospital - Herston
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Recruitment hospital [2]
17583
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Royal Darwin Hospital - Tiwi
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Recruitment hospital [3]
17584
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Princess Alexandra Hospital - Woolloongabba
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Recruitment hospital [4]
17585
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Liverpool Hospital - Liverpool
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Recruitment hospital [5]
17586
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Gold Coast University Hospital - Southport
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Recruitment hospital [6]
17587
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The Townsville Hospital - Douglas
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Recruitment hospital [7]
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The Alfred - Melbourne
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Recruitment postcode(s) [1]
31325
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4029 - Herston
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Recruitment postcode(s) [2]
31326
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0810 - Tiwi
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Recruitment postcode(s) [3]
31327
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4102 - Woolloongabba
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Recruitment postcode(s) [4]
31328
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2170 - Liverpool
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Recruitment postcode(s) [5]
31329
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4215 - Southport
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Recruitment postcode(s) [6]
31330
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4814 - Douglas
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Recruitment postcode(s) [7]
36446
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3004 - Melbourne
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Funding & Sponsors
Funding source category [1]
306785
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Government body
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Name [1]
306785
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Medical Research Future Fund (MRFF)
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Address [1]
306785
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Department of Health
Sirius Building
Furzer St
Woden Town Centre
ACT 2606
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Country [1]
306785
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Australia
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Funding source category [2]
310606
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Commercial sector/Industry
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Name [2]
310606
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Motor Accident Insurance Commission (MAIC)
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Address [2]
310606
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Level 26, 1 William Street
GPO Box 2203
BRISBANE QLD 4001 Australia
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Country [2]
310606
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Australia
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Primary sponsor type
University
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Name
University of Queensland
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Address
Queensland Brain Institute
St Lucia
Queensland 4072
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Country
Australia
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Secondary sponsor category [1]
307336
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None
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Name [1]
307336
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Address [1]
307336
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Country [1]
307336
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
306944
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Royal Brisbane & Womens Hospital Ethics Committee
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Ethics committee address [1]
306944
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Executive Suites Lower Ground Floor Dr James Mayne Building Royal Brisbane & Women's Hospital Brisbane Queensland 4029
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Ethics committee country [1]
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Australia
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Date submitted for ethics approval [1]
306944
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11/09/2020
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Approval date [1]
306944
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22/09/2020
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Ethics approval number [1]
306944
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HREC/2020/QRBW/66058
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Summary
Brief summary
The objective of this study, in adults with moderate to severe TBI, is to use machine learning and determine and compare the univariate and multivariate associations between neuroimaging biomarkers, blood biomarkers, clinical data and neurological outcomes. Specific aims are as follows: 1. To identify neuroimaging biomarkers of TBI, measured as structural and functional damage on brain MRI, on discharge from ICU/HDU (or if not admitted to ICU, once the participant is stable on the ward)and changes in structural damage and neuro-inflammation during recovery at 3- and 6-months after injury. 2. To determine the multivariate associations between neuroimaging biomarkers of TBI and neurological outcomes 3- and 6-months after injury, using a combination of deep learning and other machine learning methodologies. 3. To determine correlations between neuroimaging biomarkers, blood biomarkers (ccfDNA, exosomes, clinical data and neurological outcomes of TBI on discharge from ICU and at 3- and 6-months after injury. 4. To determine correlations between 3-month and 6-month changes in neuroimaging biomarkers, blood biomarkers, clinical data and neurological outcomes. 5. To determine the independent predictors of neurological outcomes at 3- and 6-months after injury using deep learning. 6. To assess aims 2-4 in the subgroup of patients who have MRI scans (during their ICU/HDU admission) as part of their clinical care
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Trial website
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Trial related presentations / publications
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Public notes
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Contacts
Principal investigator
Name
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A/Prof Fatima Nasrallah
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Address
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Queensland Brain Institute
University of Queensland
St Lucia
Queensland 4072
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Country
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Australia
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Phone
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+61 7344 33004
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Fax
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Email
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[email protected]
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Contact person for public queries
Name
105535
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Tracey Evans
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Address
105535
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Queensland Brain Institute
The University of Queensland
St Lucia
Queensland 4072
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Country
105535
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Australia
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Phone
105535
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+61 7 3443 3822
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Fax
105535
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Email
105535
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[email protected]
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Contact person for scientific queries
Name
105536
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Fatima Nasrallah
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Address
105536
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Queensland Brain Institute
University of Queensland
St Lucia
Queensland 4072
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Country
105536
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Australia
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Phone
105536
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+61 7344 33004
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Fax
105536
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Email
105536
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[email protected]
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Data sharing statement
Will individual participant data (IPD) for this trial be available (including data dictionaries)?
No
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No/undecided IPD sharing reason/comment
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What supporting documents are/will be available?
No Supporting Document Provided
Doc. No.
Type
Citation
Link
Email
Other Details
Attachment
9223
Ethical approval
380619-(Uploaded-22-09-2020-11-39-59)-Study-related document.pdf
Results publications and other study-related documents
Documents added manually
No documents have been uploaded by study researchers.
Documents added automatically
No additional documents have been identified.
Download to PDF