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Grant: PRIZE - Pro. Gr. - PA: Yves Joanette Award of Excellence in Research in Aging

Centre hospitalier de l'Université de Montréal (CHUM)

$50,000.00

Prize - 202109PJT - Leveraging high-volume data to characterize age and individual-specific vital signs and to develop novel geriatric vital signs that optimally predict clinical outcomes in older adults

EF 2021-22

Résumé
Vital signs are used everyday by healthcare professionals to quickly screen and assess the health status of patients. Heart rate, blood pressure, temperature, respiratory rate, and blood oxygen level are the backbone of clinical management by informing how sick a person might be and how urgently care must be provided. However, vital signs and normal reference ranges currently used in older adults were developed many decades ago using the health characteristics of a younger population. As the Canadian population is aging, the appropriateness of current vitals signs and their reference ranges that would best inform triage and care has not been evaluated in contemporary older adults. Our research has three objectives. First, rather than relying on "normal" values from the overall population of adults, we seek to identify reference range for vital signs that are specific to older age groups and to each older adult individually. Second, instead of using unique values of vital signs, we will investigate whether different ways of combining multiple values over time (modelling) can improve the predictive performance of vital signs. Finally, we expand the health characteristics and type of data considered as vital signs: blood test results may function as vital signs. We will examine whether and how these types of data can be best accounted for and used in clinical care as novel geriatric vital signs. Vital signs are at the core of clinical management. Tailoring and expanding vital signs to the needs and specificities of the growing older adult population has the potential to be vastly alter and improve the care of older adults.
Programme
PRIZE - Pro. Gr. - PA: Yves Joanette Award of Excellence in Research in Aging
Emplacement
Quebec, Canada
Type de bénéficiaire
Not-for-profit organization or charity
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
460090
Name
Nguyen Quoc Dinh
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Aging
Theme2
Clinical
Prcname2
Biological and Clinical Aspects of Aging
Projecttitle
Prize - 202109PJT - Leveraging high-volume data to characterize age and individual-specific vital signs and to develop novel geriatric vital signs that optimally predict clinical outcomes in older adults
Programtype2
Operating Grants
Orgnameinp2
Centre hospitalier de l'Université de Montréal (CHUM)
Cihramount2
$50,000
Cihrequipment2
$0
Programname2
PRIZE - Pro. Gr. - PA: Yves Joanette Award of Excellence in Research in Aging
Keyworddelim
Aging; Big Data; Clinical Epidemiology; Heterogeneity; Older Adults; Reference Ranges; Triage; Vital Signs
Abstract
Vital signs are used everyday by healthcare professionals to quickly screen and assess the health status of patients. Heart rate, blood pressure, temperature, respiratory rate, and blood oxygen level are the backbone of clinical management by informing how sick a person might be and how urgently care must be provided. However, vital signs and normal reference ranges currently used in older adults were developed many decades ago using the health characteristics of a younger population. As the Canadian population is aging, the appropriateness of current vitals signs and their reference ranges that would best inform triage and care has not been evaluated in contemporary older adults. Our research has three objectives. First, rather than relying on "normal" values from the overall population of adults, we seek to identify reference range for vital signs that are specific to older age groups and to each older adult individually. Second, instead of using unique values of vital signs, we will investigate whether different ways of combining multiple values over time (modelling) can improve the predictive performance of vital signs. Finally, we expand the health characteristics and type of data considered as vital signs: blood test results may function as vital signs. We will examine whether and how these types of data can be best accounted for and used in clinical care as novel geriatric vital signs. Vital signs are at the core of clinical management. Tailoring and expanding vital signs to the needs and specificities of the growing older adult population has the potential to be vastly alter and improve the care of older adults.
Competitiondate
202109
Approvedterm2
1 yr 0 mth
Pinamesdelim
Nguyen, Quoc Dinh; Wolfson, Christina M
Approvedterm
1 an 0 mois
Cihrcontribution2
~ $50,000~ $0~