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Grant: Project Grant

University of British Columbia

$539,326.00

Brain-based Prediction of the dying duration in humans after withdrawal of life sustaining measures to inform donation after circulatory death.

EF 2024-25

Résumé
Organ donation can only commence once death has been declared in a potential donor, however, the prediction of how quickly death will occur following removal of life support interventions is very unclear. Further, the longer the duration between the removal of life support and death declaration, the more the potential organs that are eligible to be transplanted become injured from low blood flow and oxygen levels during the dying process. The prediction of the dying duration, trajectory and whether or not organ donation will be successful is extremely limited. Robust, generalizable and reproducible methods for this prediction are needed to inform donation and transplant teams as well as patients and their families. The brain controls various vital functions of the human body. Relative to organ donation, severe brain dysfunction can accelerate the dying duration by leading to upper airway compromise (from bulbar motor dysfunction) or by leading to cardiac cessation from severe autonomic nervous system dysfunction. Quantifying and assessing these metrics in prospective organ donors is an essential step to develop a clinical prediction tool. We will conduct a multicenter prospective observational study to create a new and novel prediction tool that evaluates the severity of brain dysfunction in prospective organ donors. Specifically, we will evaluate blood-based brain biomarkers, neuroimaging features of increased intracranial pressure and heart rate variability (as marker of autonomic nervous system dysfunction) in eligible organ donors in the intensive care unit from to cessation of life support. Combining these assessments, we will create a new and novel multivariable prediction tool of the dying duration and will assess it against the currently available modest prediction variables and "physician gestalt".
Programme
Project Grant
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
522164
Name
Sekhon Mypinder S
Region
British Columbia
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Circulatory and Respiratory Health
Theme2
Clinical
Prcname2
Behavioural Sciences - B-2
Projecttitle
Brain-based Prediction of the dying duration in humans after withdrawal of life sustaining measures to inform donation after circulatory death.
Programtype2
Operating Grants
Orgnameinp2
University of British Columbia
Cihramount2
$539,326
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Biomarkers; Death Determination Prediction; Donation After Circulatory Death; Organ Donation
Abstract
Organ donation can only commence once death has been declared in a potential donor, however, the prediction of how quickly death will occur following removal of life support interventions is very unclear. Further, the longer the duration between the removal of life support and death declaration, the more the potential organs that are eligible to be transplanted become injured from low blood flow and oxygen levels during the dying process. The prediction of the dying duration, trajectory and whether or not organ donation will be successful is extremely limited. Robust, generalizable and reproducible methods for this prediction are needed to inform donation and transplant teams as well as patients and their families. The brain controls various vital functions of the human body. Relative to organ donation, severe brain dysfunction can accelerate the dying duration by leading to upper airway compromise (from bulbar motor dysfunction) or by leading to cardiac cessation from severe autonomic nervous system dysfunction. Quantifying and assessing these metrics in prospective organ donors is an essential step to develop a clinical prediction tool. We will conduct a multicenter prospective observational study to create a new and novel prediction tool that evaluates the severity of brain dysfunction in prospective organ donors. Specifically, we will evaluate blood-based brain biomarkers, neuroimaging features of increased intracranial pressure and heart rate variability (as marker of autonomic nervous system dysfunction) in eligible organ donors in the intensive care unit from to cessation of life support. Combining these assessments, we will create a new and novel multivariable prediction tool of the dying duration and will assess it against the currently available modest prediction variables and "physician gestalt".
Competitiondate
202503
Approvedterm2
3 yrs 0 mth
Pinamesdelim
Sekhon, Mypinder S; Dhanani, Sonny; Seely, Andrew J
Approvedterm
3 ans 0 mois
Cihrcontribution2
~ $539,326~ $0~