Literature DB >> 9421987

Cognitive and functional assessments of stroke patients: an analysis of their relation.

V E Hajek1, S Gagnon, J E Ruderman.   

Abstract

OBJECTIVES: To improve the assessment of stroke patients for the purpose of designing rehabilitation treatments and predicting rehabilitation outcomes. Specific objectives included the evaluation of the power of functional scales to properly assess both physical and cognitive disabilities, and the evaluation of the relations between functional, neurological, physical, and cognitive assessments. The hypothesis was that the relations between different assessment types (eg, functional, neurological, etc) can be assessed by the relations between the results of these assessments when administered to stroke patients.
DESIGN: Sixty-six stroke patients were administered a series of tests including functional assessments (Functional Independence Measure, barthel Index, Rankin Functional Scale), neurological assessments (Canadian Neurological Scale, National Institute of Health Stroke Scale), physical assessments (Stages of Motor Recovery, Clinical Outcome Variables Scale), and cognitive assessments (Stroke Unit Mental Status Examination, Mini Mental State, Raven Matrices, Boston Naming Test).
RESULTS: Analysis of correlation coefficients revealed that the stronger relationships were observed between functional assessments and physical assessments, and between functional assessments and neurological assessments. Cognitive tests did not correlate highly with any of the functional tests used in this study. Three factors were extracted using factor analysis. They were interpreted as being a physical disability factor (50% of the variance), a cognitive disability factor (23% of the variance), and a dementia factor (12% of variance). Functional scales obtained higher loads on the physical disability factor only.
CONCLUSIONS: Considering that cognitive functions are frequently affected in stroke patients, cognitive impairment needs to be more seriously considered when describing and/or predicting a patient's level of independence. In brain injured patients, such as stroke patients, we suggest that the total score provided by standardized functional scales should be interpreted with care. We believe that rehabilitation outcome could be better predicted if the results of functional assessment were coupled with in-depth cognitive assessment.

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Mesh:

Year:  1997        PMID: 9421987     DOI: 10.1016/s0003-9993(97)90306-3

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  11 in total

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2.  Executive function is independently associated with performances of balance and mobility in community-dwelling older adults after mild stroke: implications for falls prevention.

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3.  Development of an IRT-Based Short Form to Assess Applied Cognitive Function in Outpatient Rehabilitation.

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4.  Non-motor Factors Associated with the Attainment of Community Ambulation after Stroke.

Authors:  Milene Silva Ferreira; Therezinha Rosane Chamlian; Carolina Nunes França; Ayrton Roberto Massaro
Journal:  Clin Med Res       Date:  2014-11-07

5.  Change in cognitive performance is associated with functional recovery during post-acute stroke rehabilitation: a multi-centric study from intermediate care geriatric rehabilitation units of Catalonia.

Authors:  Laura Mónica Pérez; Marco Inzitari; Marta Roqué; Esther Duarte; Elisabeth Vallés; Montserrat Rodó; Miquel Gallofré
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6.  Ecological validity of the neuropsychological assessment battery screening module in post-acute brain injury rehabilitation.

Authors:  Richard O Temple; Dennis J Zgaljardic; Beatriz C Abreu; Gary S Seale; Glenn V Ostir; Kenneth J Ottenbacher
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7.  Changes in cognition following mild stroke.

Authors:  Timothy J Wolf; Morgan C Rognstad
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Review 8.  Vascular Cognitive Impairment After Mild Stroke: Connectomic Insights, Neuroimaging, and Knowledge Translation.

Authors:  Jess A Holguin; John L Margetis; Anisha Narayan; Grant M Yoneoka; Andrei Irimia
Journal:  Front Neurosci       Date:  2022-07-07       Impact factor: 5.152

9.  Predicting recovery of cognitive function soon after stroke: differential modeling of logarithmic and linear regression.

Authors:  Makoto Suzuki; Yuko Sugimura; Sumio Yamada; Yoshitsugu Omori; Masaaki Miyamoto; Jun-ichi Yamamoto
Journal:  PLoS One       Date:  2013-01-11       Impact factor: 3.240

10.  Characteristics of visual-perceptual function measured by the motor-free visual perception test-3 in korean adults.

Authors:  A-Reum Han; Doo-Yung Kim; Tae-Woong Choi; Hyun-Im Moon; Byung-Joo Ryu; Seung-Nam Yang; Sung-Bom Pyun
Journal:  Ann Rehabil Med       Date:  2014-08-28
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