The Cognitive-Prefrail Syndrome and Its Association With Adverse Health Outcomes
- Conditions
- PrefrailtyMotoric Cognitive Risk SyndromeCognitive-prefrailty
- Registration Number
- NCT04240028
- Lead Sponsor
- Jewish General Hospital
- Brief Summary
Lay Summary Older adults who are prefrail (an intermediate, potentially reversible stage between robustness and frailty) with early symptoms of cognitive impairment are a segment of the population that have hitherto remained "silent" and are currently not targets for screening and intervention. These individuals require early identification for preventive interventions to reduce disability, dependency and improve quality of life. To date, there is still no accepted definition of individuals upstream in the spectrum of physical frailty and cognitive impairment. Determining the prevalence and predictive ability of various definitions of co-existent frailty and cognitive impairment could identify older adults at greatest risk of adverse health outcomes. Therefore, the researchers aim to examine and compare (1) the prevalence of cognitive-prefrailty, prefrailty (IANA/IAGG consensus definition) and MCR syndromes, (2) the incidence and predictive ability of these three syndromes for adverse health outcomes including cognitive impairment and decline, dementia, physical functional impairment and decline, falls, hospitalization and mortality in older Quebec community dwellers.
- Detailed Description
Scientific Summary
Background Cognitive frailty is the simultaneous presence of both physical frailty and cognitive impairment, excluding concurrent dementia. This condition confers a greater risk of incident cognitive impairment and decline, dementia, falls and disabilities compared to either condition alone. Current definitions of co-existent frailty and cognitive impairment exist, including the International Academy on Nutrition and Aging (IANA) and the International Association of Gerontology and Geriatrics (IAGG) consensus for cognitive frailty. There is also an analogous construct known as the motoric cognitive risk syndrome (MCR) associating slow gait speed and subjective cognitive impairment (SCI). Current operational criteria identify individuals later in the trajectory of frailty and cognitive decline, which may be too late for effective interventions. The researchers propose to define a new and early condition in the spectrum of Cognitive frailty known as "cognitive-prefrailty", which is a combination of prefrailty stage and SCI.
Overall objective This study aims to determine and compare (1) the prevalence of cognitive-prefrailty, cognitive frailty (IANA/IAGG consensus definition) and MCR syndromes, (2) the incidence and predictive ability of these three syndromes for adverse health outcomes including cognitive impairment and decline, dementia, physical functional impairment and decline, falls, hospitalization and mortality in older community dwellers.
Methods This study will use the database of the "Nutrition as a determinant of successful aging: The Quebec longitudinal study" (NuAge) study, which is a population-based observational cohort hat recruited healthy community-dwellers with age ranged from 67 to 84 years (51.8% women) between November 2003 and June 2005, and followed them during 4 years. Cognitive-prefrailty, prefrailty and MCR will be defined using information collected at the baseline assessment. Incident adverse health outcomes including cognitive impairment and decline, dementia, physical functional impairment and decline, falls, hospitalization and mortality have been recorded during the 4-years follow-up period.
Anticipated results Prefrailty (an intermediate and potentially reversible stage between robust and frailty) and SCI occur upstream in the continuum of frailty and cognitive decline and hence constitute more suitable targets for screening and early intervention in older adults.
Recruitment & Eligibility
- Status
- ACTIVE_NOT_RECRUITING
- Sex
- All
- Target Recruitment
- 1741
- Be participants of the NuAge study who agreed to be part of the NuAge Database and Biobank for future research purposes
- Missing data at baseline and follow-up assessments
- Participants' refusal to use their data for a purpose not identified during their recruitment.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Incident dementia 1 day From T2 to T4, incident dementia will be considered if 3MS score is ≤79/100 and simplified instrumental activity daily living score is \<4
Mortality 1 day Cognitive impairment 1 day Cognitive status has been measured using the Modified Mini-Mental State (3MS)17 in the NuAge study. The 3MS test has a score range of 1-100. Baseline value and change over the three years of follow-up will be used. Cognitive impairment will be considered when 3MS score \< 79.
Cognitive decline 1 day From T2 to T4 annual variation of 3MS score expressed in percentage between T1-T2, T2-T3 and T3-T4 will be calculated using the formula: ((3MS Tn+1 - 3MS Tn+1) / ((3MS Tn+1 + 3MS Tn+1) / 2)) x 100.
Physical functional impairment 1 day A sex-specific global measure of physical performance will be computed as the sum of scores in four tests: standing balance, walking speed (normal and fast), chair stands, and timed "Up \& Go" according to a slightly modified method proposed by Guralnik and colleagues.18 The validity of this global measure has been previously reported in this population.19 Four levels of physical performance will be created for each of the five tests. A score from 1 (slowest) to 4 (fastest) is assigned according to the quartile of time needed to carry out the test. With the exception of standing balance, the lowest quartile indicates the best (shorter duration) score. The reverse is true with respect to standing balance. A score of 0 was assigned to those who could not do or did not complete the test because they felt unable to do so. Possible scores range from 0 (worst) to 20 (best).
Physical functional Decline 1 day From T2 to T4 annual variation of Physical functional score expressed in percentage between T1-T2, T2-T3 and T3-T4 were calculated using the formula: ((score Tn+1 - score Tn+1) / ((score Tn+1 + score Tn+1) / 2)) x 100
Falls 1 day number of falls
Hospitalizations 1 day Number of hospitalization
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Jewish General Hospital
🇨🇦Montréal, Quebec, Canada
Jewish General Hospital🇨🇦Montréal, Quebec, Canada