Grant: Doctoral Award - Frederick Banting and Charles Best Canada Graduate Scholarships
Unity Health Toronto
$105,000.00
Early Prediction of Survival from Out-of-Hospital-Cardiac Arrest
FY 2014-15
Summary
Each year in Canada 45,000 people collapse when their heart suddenly stops beating. This is a condition called cardiac arrest. Unfortunately, almost 95% of these people will not survive. Even if medical treatment results in the return of a pulse, 60% of people do not survive to leave the hospital. Advances in medical research are limited because scientists are unable to compare the chance of survival between patients when they get a return of a pulse. Many things, such as a patient's age, the length of cardiac arrest, and the time until paramedics arrive affect survival. It has not been sufficiently studied if variables such as these can be combined to predict survival soon after a patient has a return of a pulse.
The goal of this study is to build a mathematical tool to accurately predict the chance a patient will survive to leave the hospital that can be used shortly after they regain a pulse.
The tool will be built using data from cardiac arrests in Southern Ontario, based on prior research and expert knowledge. Data will be used that is available early after a patient has a return of a pulse. With this information we can look for important relationships between different factors and the chance a person will survive to hospital discharge.
Completion of this study will improve future cardiac arrest research, and ultimately patient outcomes. Early identification of patients that may survive after cardiac arrests is important for a number of reasons. It will help to increase use of cardiac arrest guidelines, and be used in hospital reporting on patient survival. It will also be crucial as a basis to improve future research and will provide a way to examine subgroups of patients in studies. Many studies have discarded seemingly poor treatment that may have been beneficial if used on specific subgroups of patients. Lastly, the tool may help to define systems of care such as patients who would benefit from transport to special cardiac arrest hospitals.
Department
Program
Doctoral Award - Frederick Banting and Charles Best Canada Graduate Scholarships
Recipient
Location
Ontario, Canada
Recipient Type
Other
Type
Grant
Source
CIHR Funding Decisions Database
As published
Id
327849
Name
Drennan Ian
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Circulatory and Respiratory Health
Theme2
Clinical
Prcname2
Doctoral Research Awards - B
Projecttitle
Early Prediction of Survival from Out-of-Hospital-Cardiac Arrest
Programtype2
Studentship Programs
Orgnameinp2
Unity Health Toronto
Cihramount2
$105,000
Cihrequipment2
$0
Programname2
Doctoral Award - Frederick Banting and Charles Best Canada Graduate Scholarships
Keyworddelim
Emergency Medicine; Out-Of-Hospital Cardiac Arrest; Outcome Prediction; Post-Cardiac Arrest Care
Abstract
Each year in Canada 45,000 people collapse when their heart suddenly stops beating. This is a condition called cardiac arrest. Unfortunately, almost 95% of these people will not survive. Even if medical treatment results in the return of a pulse, 60% of people do not survive to leave the hospital. Advances in medical research are limited because scientists are unable to compare the chance of survival between patients when they get a return of a pulse. Many things, such as a patient's age, the length of cardiac arrest, and the time until paramedics arrive affect survival. It has not been sufficiently studied if variables such as these can be combined to predict survival soon after a patient has a return of a pulse.
The goal of this study is to build a mathematical tool to accurately predict the chance a patient will survive to leave the hospital that can be used shortly after they regain a pulse.
The tool will be built using data from cardiac arrests in Southern Ontario, based on prior research and expert knowledge. Data will be used that is available early after a patient has a return of a pulse. With this information we can look for important relationships between different factors and the chance a person will survive to hospital discharge.
Completion of this study will improve future cardiac arrest research, and ultimately patient outcomes. Early identification of patients that may survive after cardiac arrests is important for a number of reasons. It will help to increase use of cardiac arrest guidelines, and be used in hospital reporting on patient survival. It will also be crucial as a basis to improve future research and will provide a way to examine subgroups of patients in studies. Many studies have discarded seemingly poor treatment that may have been beneficial if used on specific subgroups of patients. Lastly, the tool may help to define systems of care such as patients who would benefit from transport to special cardiac arrest hospitals.
Competitiondate
201410
Approvedterm2
3 yrs 0 mth
Pinamesdelim
Drennan, Ian
Approvedterm
3 ans 0 mois
Cihrcontribution2
~ $105,000~ $0~
