Literature DB >> 20521995

Predicting outcome after stroke: the role of aphasia.

Bernardo Gialanella1, Maurizio Bertolinelli, Marianna Lissi, Paola Prometti.   

Abstract

OBJECTIVE: Very few studies have investigated the predictive value of functional outcome, social outcome and discharge destination in patients with cerebrovascular accident (CVA) with aphasia. The aim of this study was to verify whether aphasia is predictor for outcome in patients with stroke with aphasia.
METHODS: The study was carried out in 262 patients with primary diagnosis of CVA and aphasia, included over a 6-year period (2001-2007): 131 with and 131 without aphasia. Statistically significant variables at the univariate regression analysis were submitted to the multivariate analysis. Backward stepwise regression analysis was applied to predict final motor-Functional Independence Measure (FIM), effectiveness in motor-FIM, final cognitive-FIM score and effectiveness in cognitive-FIM and discharge destination. Independent variables were age, gender, aphasia, stroke type, stroke lesion size, comorbidity, bladder catheter, motor function, trunk control test, initial motor-FIM and committed caregiver identified on admission to rehabilitation.
RESULTS: Patients with aphasia had lower motor-FIM and cognitive-FIM scores both at admission and at discharge, if compared with those without aphasia. Effectiveness in motor-FIM and cognitive-FIM scores was also poorer in patients with aphasia. Seventy-seven per cent of patients with aphasia and 91.6% of patients without aphasia returned at home. In the multivariate regression analysis, aphasia was predictor of final motor-FIM (β = 0.15), final cognitive FIM (β = 0.72), effectiveness in motor-FIM (β = 0.17) and discharge destination (β = 0.20).
CONCLUSIONS: Aphasia is a predicting factor of outcome and it is the most important predictor of social outcome in patients with stroke with aphasia.

Entities:  

Mesh:

Year:  2010        PMID: 20521995     DOI: 10.3109/09638288.2010.488712

Source DB:  PubMed          Journal:  Disabil Rehabil        ISSN: 0963-8288            Impact factor:   3.033


  21 in total

Review 1.  Brain Stimulation and the Role of the Right Hemisphere in Aphasia Recovery.

Authors:  Peter E Turkeltaub
Journal:  Curr Neurol Neurosci Rep       Date:  2015-11       Impact factor: 5.081

2.  Right hemisphere grey matter structure and language outcomes in chronic left hemisphere stroke.

Authors:  Shihui Xing; Elizabeth H Lacey; Laura M Skipper-Kallal; Xiong Jiang; Michelle L Harris-Love; Jinsheng Zeng; Peter E Turkeltaub
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3.  Aphasia assessment and functional outcome prediction in patients with aphasia after stroke.

Authors:  Bernardo Gialanella
Journal:  J Neurol       Date:  2010-12-23       Impact factor: 4.849

4.  Role of aphasia in discharge location after stroke.

Authors:  Marlís González-Fernández; Asare B Christian; Cameron Davis; Argye E Hillis
Journal:  Arch Phys Med Rehabil       Date:  2012-12-10       Impact factor: 3.966

5.  Cerebellar tDCS as a novel treatment for aphasia? Evidence from behavioral and resting-state functional connectivity data in healthy adults.

Authors:  Peter E Turkeltaub; Mary K Swears; Anila M D'Mello; Catherine J Stoodley
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Review 6.  Update in Aphasia Research.

Authors:  Donna C Tippett
Journal:  Curr Neurol Neurosci Rep       Date:  2015-08       Impact factor: 5.081

7.  Dosages of Swallowing Exercises Prescribed in Stroke Rehabilitation: A Medical Record Audit.

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8.  Left frontotemporal effective connectivity during semantic feature judgments in patients with chronic aphasia and age-matched healthy controls.

Authors:  Erin L Meier; Jeffrey P Johnson; Swathi Kiran
Journal:  Cortex       Date:  2018-08-27       Impact factor: 4.027

9.  A physician survey of poststroke aphasia diagnosis and treatment in China: SPEECH study.

Authors:  Yuying Zhou; Xiaoxia Du; Jun Xiao; Yunpeng Cao; Qihao Guo; Aihong Zhou; Jiong Zhou; Nan Li; Yinhua Wang; Lifei Jiao
Journal:  Medicine (Baltimore)       Date:  2021-06-04       Impact factor: 1.817

Review 10.  Aphasia As a Predictor of Stroke Outcome.

Authors:  Ronald M Lazar; Amelia K Boehme
Journal:  Curr Neurol Neurosci Rep       Date:  2017-09-19       Impact factor: 6.030

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