Brain-based Prediction of the Dying Duration in Humans After Withdrawal of Life Sustaining Therapies to Inform Donation After Circulatory Death
NeuroDCD
1 other identifier
observational
102
1 country
11
Brief Summary
The purpose of this study is to develop a new tool that uses information collected before life-sustaining treatments are withdrawn to better predict whether a patient will die within the time needed for organ donation to be possible. The tool created should help improve planning for organ donation and provide families and healthcare teams with more accurate information.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Jan 2027
Longer than P75 for all trials
11 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 7, 2026
CompletedFirst Posted
Study publicly available on registry
July 13, 2026
CompletedStudy Start
First participant enrolled
January 1, 2027
ExpectedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2030
Study Completion
Last participant's last visit for all outcomes
December 1, 2030
July 13, 2026
January 1, 2026
3.9 years
July 7, 2026
July 7, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
To develop a clinically applicable model to predict dying duration in a cohort of patient eligible for donation after circulatory death
Specifically, we aim at assessing the predictive ability of blood-based brain biomarkers, optic nerve sheet diameter as measured by head computed tomography (CT) scans as a surrogate of intracranial pressure and autonomic dysfunction as reflected by abnormal heart rate variability (HRV) to predict the dying duration.
The models will be built to predict death within 30, 60 and 120 minutes
Secondary Outcomes (1)
Comparison of the brain-to-heart model to existing models
The models will be compared for death within 30, 60 and 120 minutes
Study Arms (1)
The study cohort will consist of patients eligible for donation after circulatory determination of
Eligibility Criteria
ICU
You may qualify if:
- Age ≥ 19;
- Eligible for DCD
You may not qualify if:
- concurrent vasopressor doses of norepinephrine \>0.05 mcg/kg/min (or dose equivalent)
- PaO2/FiO2 ratio \<150 mmHg
- complete high cervical spinal cord injury (C5 and above)
- cardiac support devices (e.g., ECMO, balloon pump, ventricular assist device)
- pacemaker in situ
- tracheostomy
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (11)
Cumming School of Medicine
Calgary, Alberta, Canada
UBC/East Kootenay Regional Hospital
Cranbrook, British Columbia, Canada
Kelowna General Hospital
Kelowna, British Columbia, Canada
Royal Columbian Hospital
New Westminster, British Columbia, Canada
Surrey Memorial Hospital
Surrey, British Columbia, Canada
Vancouver General Hospital
Vancouver, British Columbia, V5Z1M9, Canada
University of Manitoba Health Sciences Center
Winnipeg, Manitoba, Canada
University Hospital - London Health Sciences Centre
London, Ontario, N6A 3K7, Canada
Lakeridge Health
Oshawa, Ontario, L1G 8A2, Canada
Children's Hospital of Eastern Ontario (CHEO)
Ottawa, Ontario, Canada
St Paul hospital
Vancouver, Canada
Biospecimen
Blood-based brain biomarkers
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Division Head, UBC Critical Care Medicine
Study Record Dates
First Submitted
July 7, 2026
First Posted
July 13, 2026
Study Start (Estimated)
January 1, 2027
Primary Completion (Estimated)
December 1, 2030
Study Completion (Estimated)
December 1, 2030
Last Updated
July 13, 2026
Record last verified: 2026-01
Data Sharing
- IPD Sharing
- Will not share
Data will be avaiable to be shared on demand. However, statistical analysis and prediction modeling computer code will be made publicly available on GitHub.