Grant: Project Grant
Université Laval
$527,850.00
Development and Validation of a Geriatric Glasgow Coma Scale (GeriGCS): An AI Approach to Improve Traumatic Brain Injury Severity Assessment in older adults
EF 2025-26
Résumé
Brain injuries, including concussions, are becoming increasingly common among older adults, mainly because of falls. In emergency departments, clinicians use the Glasgow Coma Scale (GCS) to assess how serious a brain injury is and to guide early care decisions. However, the GCS was developed more than 50 years ago using data from younger adults and does not work as well in older people. As a result, older patients may appear alert and receive a reassuring score, even when they have a serious brain injury. This can lead to delays in diagnosis, inappropriate care, and worse outcomes.
The goal of this project is to develop a version of the Glasgow Coma Scale that is better suited to older adults. Using a large trauma database from Quebec, we will examine how brain injuries present differently in older adults compared with younger patients. We will use advanced data analysis methods to create a new scoring tool, called the Geriatric Glasgow Coma Scale (GeriGCS), that more accurately reflects the true severity of brain injury in older adults.
The GeriGCS is designed to remain simple and practical for use by paramedics and emergency clinicians. By improving early recognition of serious brain injuries, this tool has the potential to reduce missed severe injuries, support better treatment decisions, and ultimately improve outcomes for older adults receiving emergency care.
Programme
Project Grant
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
566788
Name
BENHAMED Axel
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Aging
Theme2
Clinical
Prcname2
Biological and Clinical Aspects of Aging 2
Projecttitle
Development and Validation of a Geriatric Glasgow Coma Scale (GeriGCS): An AI Approach to Improve Traumatic Brain Injury Severity Assessment in older adults
Programtype2
Operating Grants
Orgnameinp2
Université Laval
Cihramount2
$527,850
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Artificial Intelligence; Geriatric Trauma; Glasgow Coma Scale Score; Prognosis; Traumatic Brain Injury
Abstract
Brain injuries, including concussions, are becoming increasingly common among older adults, mainly because of falls. In emergency departments, clinicians use the Glasgow Coma Scale (GCS) to assess how serious a brain injury is and to guide early care decisions. However, the GCS was developed more than 50 years ago using data from younger adults and does not work as well in older people. As a result, older patients may appear alert and receive a reassuring score, even when they have a serious brain injury. This can lead to delays in diagnosis, inappropriate care, and worse outcomes.
The goal of this project is to develop a version of the Glasgow Coma Scale that is better suited to older adults. Using a large trauma database from Quebec, we will examine how brain injuries present differently in older adults compared with younger patients. We will use advanced data analysis methods to create a new scoring tool, called the Geriatric Glasgow Coma Scale (GeriGCS), that more accurately reflects the true severity of brain injury in older adults.
The GeriGCS is designed to remain simple and practical for use by paramedics and emergency clinicians. By improving early recognition of serious brain injuries, this tool has the potential to reduce missed severe injuries, support better treatment decisions, and ultimately improve outcomes for older adults receiving emergency care.
Competitiondate
202603
Approvedterm2
3 yrs 0 mth
Pinamesdelim
BENHAMED, Axel; Bérubé, Mélanie; Bouchard, Kévin; Emond, Marcel; Malo, Christian; Robitaille Fortin, Maxime
Approvedterm
3 ans 0 mois
Cihrcontribution2
~ $527,850~ $0~