Literature DB >> 26484512

Prevalence and association of visual functional deficits with lesion characteristics and functional neurological deficits in patients with stroke.

Sayoko Niwa1, Megumi Shimodozono2, Kazumi Kawahira2.   

Abstract

BACKGROUND: Stroke frequently induces visual problems, which impair activities of daily living, lead to falls, and require rehabilitation. However, visual dysfunction has not been well characterized in stroke.
OBJECTIVE: The purpose of this study was to characterize visual function in patients with stroke and the association of these characteristics with neurological dysfunction and lesion hemisphere.
METHODS: In 40 patients with stroke and 321 control subjects, we carried out an assessment of a broad panel of visual and neurological functional metrics to identify risk factors for specific visual impairments in stroke.
RESULTS: Patients with stroke exhibited a significantly higher rate of occurrence for impairments in all visual metrics assessed, when compared to healthy controls. Risk for particular visual deficits varied according to lesion side (right versus left hemisphere) and specific types of neurological dysfunction.
CONCLUSIONS: Detailed assessment of visual function in patients with stroke can help to clarify the risk of various types of visual impairment. Moreover, as visual function assessment in patients with stroke is difficult, knowledge of the correlation of visual impairments with different neurological dysfunctions observed in stroke and lesion side will help predict vision problems and inform optimal corrective measures in treating patients with stroke.

Entities:  

Keywords:  Stroke; frontal-lobe dysfunction; trail making test part A; visual function

Mesh:

Year:  2015        PMID: 26484512     DOI: 10.3233/NRE-151253

Source DB:  PubMed          Journal:  NeuroRehabilitation        ISSN: 1053-8135            Impact factor:   2.138


  1 in total

Review 1.  Vinpocetine in the treatment of poststroke cognitive dysfunction: A protocol for systematic review and meta-analysis.

Authors:  Yang Liu; Yanying Yin; Qiao-Li Lu; Ying Dan; Mei-Song Xu; Ge Song; Chen Li
Journal:  Medicine (Baltimore)       Date:  2019-02       Impact factor: 1.817

  1 in total

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