Peter Appelros1. 1. Department of Neurology, Orebro University Hospital, Orebro, Sweden. peter.appelros@orebroll.se
Abstract
PURPOSE: To further describe the properties of Frenchay Activities Index (FAI) with special emphasis on relationships with stroke severity and cognition. METHODS: Survivors from a population-based first-ever stroke cohort (n = 246) were assessed with FAI one year post-stroke. At the same time patients were asked about their status pre-stroke. Stroke severity was assessed at baseline with the NIH stroke scale (NIHSS). Cognition was assessed at one year with the Mini Mental State Examination (MMSE). RESULTS: Pre-stroke and post-stroke FAI averaged at 40.1 and 32.4, respectively. There was a floor effect post-stroke, where 17% had the lowest possible score. The sum score was related to age, but not to gender. Individual items, however, were gender-related. NIHSS was clearly related to the difference FAI pre-stroke - post-stroke, but individual variations were large. Individual NIHSS items differed regarding their impact on post-stroke FAI. MMSE post-stroke also has a clear relationship with FAI, but there are large individual variations. CONCLUSIONS: This study establishes a population-based standard for FAI scores one year after a stroke. The effects of stroke severity and cognition have been demonstrated. FAI gives useful information that is not obtained from basic ADL scales, such as the Barthel Index.
PURPOSE: To further describe the properties of Frenchay Activities Index (FAI) with special emphasis on relationships with stroke severity and cognition. METHODS: Survivors from a population-based first-ever stroke cohort (n = 246) were assessed with FAI one year post-stroke. At the same time patients were asked about their status pre-stroke. Stroke severity was assessed at baseline with the NIH stroke scale (NIHSS). Cognition was assessed at one year with the Mini Mental State Examination (MMSE). RESULTS: Pre-stroke and post-stroke FAI averaged at 40.1 and 32.4, respectively. There was a floor effect post-stroke, where 17% had the lowest possible score. The sum score was related to age, but not to gender. Individual items, however, were gender-related. NIHSS was clearly related to the difference FAI pre-stroke - post-stroke, but individual variations were large. Individual NIHSS items differed regarding their impact on post-stroke FAI. MMSE post-stroke also has a clear relationship with FAI, but there are large individual variations. CONCLUSIONS: This study establishes a population-based standard for FAI scores one year after a stroke. The effects of stroke severity and cognition have been demonstrated. FAI gives useful information that is not obtained from basic ADL scales, such as the Barthel Index.
Authors: Daan P J Verberne; Marcel W M Post; Sebastian Köhler; Leeanne M Carey; Johanna M A Visser-Meily; Caroline M van Heugten Journal: Neurorehabil Neural Repair Date: 2018-09-04 Impact factor: 3.919
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