Literature DB >> 21998066

Neuropsychological profiles of 5-year ischemic stroke survivors by Oxfordshire stroke classification and hemisphere of lesion.

Suzanne Barker-Collo1, Nicola Starkey, Carlene M M Lawes, Valery Feigin, Hugh Senior, Varsha Parag.   

Abstract

BACKGROUND AND
PURPOSE: Although the neuropsychological literature typically examines stroke outcomes by hemisphere of lesion, the medical literature provides classifications more closely linked to circulatory distribution impacted by stroke. This article examined profiles of cognitive function by hemisphere and by Oxfordshire Community Stroke Project stroke classification.
METHODS: This study included a sample of 315 5-year ischemic stroke survivors. Assessment included tests of verbal memory, visual memory, word finding/verbal fluency, abstract visual reasoning, executive functioning, and speed of processing.
RESULTS: The sample produced scores within 1 standard deviation of the normative mean on tests of abstract visual reasoning, verbal memory, and visual recall. Impaired performances were observed for executive function and processing speed. Profile analysis revealed no significant differences in overall cognitive performance or in the profile of performance across measures by hemisphere of lesion. However, groups defined by Oxfordshire Community Stroke Project categories produced significantly different cognitive profiles. Post hoc analyses indicate those with posterior stroke performed best overall on all tests except the Stroop Dots trial, whereas those with total anterior stroke produced significantly worse scores on tasks requiring visual abstract reasoning (Block Design, Rey Figure Copy), word finding (Boston Naming Test), and processing speed (Stroop Dots, Trails A).
CONCLUSIONS: Oxfordshire Community Stroke Project stroke subtypes identified significant differences between groups, suggesting this classification system is of greater use than hemisphere of lesion in predicting poststroke cognitive outcomes.

Entities:  

Mesh:

Year:  2011        PMID: 21998066     DOI: 10.1161/STROKEAHA.111.627182

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


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