2023
DOI: 10.1177/17474930231151847
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Prevalence, measurement, and implications of frailty in stroke survivors: An analysis of three global aging cohorts

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 ageing. Frailty status was assessed using the F… Show more

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Cited by 12 publications
(5 citation statements)
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References 26 publications
(43 reference statements)
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“…The literature emphasizes that malnutrition and frailty often coexist in hospitalized geriatric stroke patients [ 19 , 20 ]. This concomitance not only perpetuates each condition but also culminates in a detrimental feedback loop, posing amplified health risks.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The literature emphasizes that malnutrition and frailty often coexist in hospitalized geriatric stroke patients [ 19 , 20 ]. This concomitance not only perpetuates each condition but also culminates in a detrimental feedback loop, posing amplified health risks.…”
Section: Discussionmentioning
confidence: 99%
“…These figures markedly surpass prior findings, insinuating that stroke patients with functional impairments confront more adverse nutritional statuses. The literature emphasizes that malnutrition and frailty often coexist in hospitalized geriatric stroke patients [19,20]. This concomitance not only perpetuates each condition but also culminates in a detrimental feedback loop, posing amplified health risks.…”
Section: Elevated Nutritional Risk In Older Stroke Patients With Frailtymentioning
confidence: 99%
“…The Mann–Whitney U test and the Kruskal–Wallis test were used to examine differences between non-parametric continuous variables. Frailty was categorised into two groups: frail and non-frail using a cut-off of ≥5 on the CFS to denote frailty [ 24 ], as this is widely used in the measurement of frailty in those with stroke [ 34 ]. Logistic and multiple linear regression were performed to examine if frailty status was an independent predictor of adverse outcomes.…”
Section: Methodsmentioning
confidence: 99%
“…Frailty increases the risk of stroke in AF [7,23], driven in part by physiologic changes such as inflammatory cytokines and renal impairment [24] and lower utilization of anticoagulants [7,23,25]. Moreover, older adults with frailty who have strokes have longer post-stroke hospitalization and a higher risk of death than those without frailty [26][27][28].…”
Section: Frailty and Atrial Fibrillation Riskmentioning
confidence: 99%