Brain-based Prediction of the Dying Duration in Humans After Withdrawal of Life Sustaining Therapies to Inform Donation After Circulatory Death (NeuroDCD)

July 7, 2026 updated by: Myp Sekhon, University of British Columbia
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purpose of this study is to develop a new tool that uses information collected before life-sustaining treatments are withdrawn to better predict whether a patient will die within the time needed for organ donation to be possible.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.

Study Overview

Status

Not yet recruiting

Conditions

Study Type

Observational

Enrollment (Estimated)

102

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

      • Vancouver, Canada
        • St Paul Hospital
        • Contact:
        • Principal Investigator:
          • Boyd John, MD
    • Alberta
      • Calgary, Alberta, Canada
    • British Columbia
      • Cranbrook, British Columbia, Canada
        • UBC/East Kootenay Regional Hospital
        • Principal Investigator:
          • Denise Jaworsky, MD
        • Contact:
      • Kelowna, British Columbia, Canada
        • Kelowna General Hospital
        • Contact:
        • Principal Investigator:
          • Benjamin Wierstra, MD
      • New Westminster, British Columbia, Canada
        • Royal Columbian Hospital
        • Contact:
        • Principal Investigator:
          • Andrew Wormsbecker, MD
      • Surrey, British Columbia, Canada
        • Surrey Memorial Hospital
        • Principal Investigator:
          • Anish Mitra, MD
        • Contact:
      • Vancouver, British Columbia, Canada, V5Z1M9
        • Vancouver General Hospital
        • Contact:
          • Mypinder Sekhon, MD, PhD
          • Phone Number: 604-875-5949
          • Email: myp@mail.ubc.ca
        • Principal Investigator:
          • Mypinder Sekhon, MD, PhD
    • Manitoba
      • Winnipeg, Manitoba, Canada
    • Ontario
      • London, Ontario, Canada, N6A 3K7
        • University Hospital - London Health Sciences Centre
        • Contact:
      • Oshawa, Ontario, Canada, L1G 8A2
        • Lakeridge Health
        • Principal Investigator:
          • Shannon Fernando, MD
        • Contact:
          • Shannon Fernando, MD
          • Phone Number: 6335 (613) 549-6666
          • Email: sfernando@lh.ca
      • Ottawa, Ontario, Canada
        • Children's Hospital of Eastern Ontario (CHEO)
        • Contact:
        • Principal Investigator:
          • Sonny Dhanani, MD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

ICU

Description

Inclusion Criteria:

  1. Age ≥ 19;
  2. Eligible for DCD

Exclusion Criteria:

Exclusion criteria will consist of :

  1. concurrent vasopressor doses of norepinephrine >0.05 mcg/kg/min (or dose equivalent)
  2. PaO2/FiO2 ratio <150 mmHg
  3. complete high cervical spinal cord injury (C5 and above)
  4. cardiac support devices (e.g., ECMO, balloon pump, ventricular assist device)
  5. pacemaker in situ
  6. tracheostomy

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
The study cohort will consist of patients eligible for donation after circulatory determination of

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
To develop a clinically applicable model to predict dying duration in a cohort of patient eligible for donation after circulatory death
Time Frame: The models will be built to predict death within 30, 60 and 120 minutes
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 Outcome Measures

Outcome Measure
Measure Description
Time Frame
Comparison of the brain-to-heart model to existing models
Time Frame: The models will be compared for death within 30, 60 and 120 minutes
Our secondary aim will be to compare the created models with available models (e.g., DCD-N, UNOS, Wisconsin) and to physician gestalt
The models will be compared for death within 30, 60 and 120 minutes

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Collaborators

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

January 1, 2027

Primary Completion (Estimated)

December 1, 2030

Study Completion (Estimated)

December 1, 2030

Study Registration Dates

First Submitted

July 7, 2026

First Submitted That Met QC Criteria

July 7, 2026

First Posted (Actual)

July 13, 2026

Study Record Updates

Last Update Posted (Actual)

July 13, 2026

Last Update Submitted That Met QC Criteria

July 7, 2026

Last Verified

January 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • H25-03465

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Data will be avaiable to be shared on demand. However, statistical analysis and prediction modeling computer code will be made publicly available on GitHub.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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