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Prevalence, Measurement, and Implications of Frailty in Stroke Survivors: An Analysis of Three Global Aging Cohorts

Overview
Journal Int J Stroke
Publisher Sage Publications
Date 2023 Jan 9
PMID 36621981
Authors
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Abstract

Background: Our understanding of the relationship between frailty and stroke, beyond the acute phase of stroke, is limited. We aimed to estimate the prevalence of frailty in stroke survivors using differing methods of assessment and describe relationships with stroke outcomes.

Methods: We used data from three international population surveys (American Health and Retirement Survey/English Longitudinal Study of Ageing/Survey for Health and Retirement in Europe) of aging. Frailty status was assessed using the Fried frailty phenotype, a 40-item frailty index (FI) and the clinical frailty scale (CFS). We created estimates of frailty prevalence and assessed association of frailty with outcomes of mortality/hospital admission/recurrent stroke at 2 years follow-up using logistic regression models adjusted for age/sex. Additional analyses explored effects of adding cognitive measures to frailty assessments and of missing grip strength data.

Findings: Across 9617 stroke survivors, using the frailty phenotype, 23.8% (n = 2094) identified as frail; with CFS, 30.1% (n = 2906) were moderately or severely frail; using FI, 22.7% (n = 2147) had moderate frailty and 31.9% (n = 3021) had severe frailty. Frailty was associated with increased risk of mortality/hospitalization/recurrent stroke using all three measures. Adding cognitive variables to the FI produced minimal difference in prevalence of frailty. People with physical frailty (phenotype or CFS) plus cognitive impairment had a greater risk of mortality than people with an equivalent level of frailty but no cognitive impairment. Excluding people unable to provide grip strength underestimated frailty prevalence.

Interpretation: Frailty is common in stroke and associated with poor outcomes, regardless of measure used. Adding cognitive variables to frailty phenotype/CFS measures identified those at greater risk of poor outcomes. Physical and cognitive impairments in stroke survivors do not preclude frailty assessment.

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References
1.
Rockwood K, Song X, MacKnight C, Bergman H, Hogan D, McDowell I . A global clinical measure of fitness and frailty in elderly people. CMAJ. 2005; 173(5):489-95. PMC: 1188185. DOI: 10.1503/cmaj.050051. View

2.
Pollock A, St George B, Fenton M, Firkins L . Top 10 research priorities relating to life after stroke--consensus from stroke survivors, caregivers, and health professionals. Int J Stroke. 2012; 9(3):313-20. DOI: 10.1111/j.1747-4949.2012.00942.x. View

3.
Mitnitski A, Mogilner A, Rockwood K . Accumulation of deficits as a proxy measure of aging. ScientificWorldJournal. 2003; 1:323-36. PMC: 6084020. DOI: 10.1100/tsw.2001.58. View

4.
Lees R, Hendry Ba K, Broomfield N, Stott D, Larner A, Quinn T . Cognitive assessment in stroke: feasibility and test properties using differing approaches to scoring of incomplete items. Int J Geriatr Psychiatry. 2016; 32(10):1072-1078. DOI: 10.1002/gps.4568. View

5.
Nguyen T, Harris K, Woodward M, Chalmers J, Cooper M, Hamet P . The Impact of Frailty on the Effectiveness and Safety of Intensive Glucose Control and Blood Pressure-Lowering Therapy for People With Type 2 Diabetes: Results From the ADVANCE Trial. Diabetes Care. 2021; 44(7):1622-1629. PMC: 8323181. DOI: 10.2337/dc20-2664. View