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Cognitive Deficits in Chronic Stroke Patients: Neuropsychological Assessment, Depression, and Self-Reports
BACKGROUND: Following stroke, clinicians are challenged to detect and untangle symptoms of cognitive dysfunction and mood disorders. Additionally, they need to evaluate the informative value of self-reports to identify patients in need of further attendance. AIMS: To examine the association between...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
S. Karger AG
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5624240/ https://www.ncbi.nlm.nih.gov/pubmed/29033974 http://dx.doi.org/10.1159/000478851 |
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author | Nakling, Arne E. Aarsland, Dag Næss, Halvor Wollschlaeger, Daniel Fladby, Tormod Hofstad, Håkon Wehling, Eike |
author_facet | Nakling, Arne E. Aarsland, Dag Næss, Halvor Wollschlaeger, Daniel Fladby, Tormod Hofstad, Håkon Wehling, Eike |
author_sort | Nakling, Arne E. |
collection | PubMed |
description | BACKGROUND: Following stroke, clinicians are challenged to detect and untangle symptoms of cognitive dysfunction and mood disorders. Additionally, they need to evaluate the informative value of self-reports to identify patients in need of further attendance. AIMS: To examine the association between neuropsychological measures, symptoms of depression, and self-reported cognitive function. METHODS: One-hundred and five chronic stroke patients underwent assessment covering 6 cognitive domains and answered the Hospital Anxiety and Depression Scale and the Memory and Thinking Scale from the Stroke Impact Scale 1 year after stroke. Age and gender difference in cognitive impairment were examined; linear regression was used to predict depression scores. Sensitivity and specificity analyses were used to validate self-reported functioning against performance on cognitive tests. RESULTS: Cognitive impairment was observed in 60% of the patients in at least 1 cognitive domain. Cognitive performance was associated with symptoms of depression as well as with self-reported cognitive function. The final analyses revealed low sensitivity and specificity for the Memory and Thinking subscale from the Stroke Impact Scale. CONCLUSION: Cognitive impairment occurs frequently even in patients in a chronic phase after stroke and predicts symptoms of depression. Using the Stroke Impact Scale, clinicians should be aware of low sensitivity of self-reported cognitive function. |
format | Online Article Text |
id | pubmed-5624240 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | S. Karger AG |
record_format | MEDLINE/PubMed |
spelling | pubmed-56242402017-10-13 Cognitive Deficits in Chronic Stroke Patients: Neuropsychological Assessment, Depression, and Self-Reports Nakling, Arne E. Aarsland, Dag Næss, Halvor Wollschlaeger, Daniel Fladby, Tormod Hofstad, Håkon Wehling, Eike Dement Geriatr Cogn Dis Extra Original Research Article BACKGROUND: Following stroke, clinicians are challenged to detect and untangle symptoms of cognitive dysfunction and mood disorders. Additionally, they need to evaluate the informative value of self-reports to identify patients in need of further attendance. AIMS: To examine the association between neuropsychological measures, symptoms of depression, and self-reported cognitive function. METHODS: One-hundred and five chronic stroke patients underwent assessment covering 6 cognitive domains and answered the Hospital Anxiety and Depression Scale and the Memory and Thinking Scale from the Stroke Impact Scale 1 year after stroke. Age and gender difference in cognitive impairment were examined; linear regression was used to predict depression scores. Sensitivity and specificity analyses were used to validate self-reported functioning against performance on cognitive tests. RESULTS: Cognitive impairment was observed in 60% of the patients in at least 1 cognitive domain. Cognitive performance was associated with symptoms of depression as well as with self-reported cognitive function. The final analyses revealed low sensitivity and specificity for the Memory and Thinking subscale from the Stroke Impact Scale. CONCLUSION: Cognitive impairment occurs frequently even in patients in a chronic phase after stroke and predicts symptoms of depression. Using the Stroke Impact Scale, clinicians should be aware of low sensitivity of self-reported cognitive function. S. Karger AG 2017-08-29 /pmc/articles/PMC5624240/ /pubmed/29033974 http://dx.doi.org/10.1159/000478851 Text en Copyright © 2017 by S. Karger AG, Basel http://creativecommons.org/licenses/by-nc-nd/4.0/ This article is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND) (http://www.karger.com/Services/OpenAccessLicense). Usage and distribution for commercial purposes as well as any distribution of modified material requires written permission. |
spellingShingle | Original Research Article Nakling, Arne E. Aarsland, Dag Næss, Halvor Wollschlaeger, Daniel Fladby, Tormod Hofstad, Håkon Wehling, Eike Cognitive Deficits in Chronic Stroke Patients: Neuropsychological Assessment, Depression, and Self-Reports |
title | Cognitive Deficits in Chronic Stroke Patients: Neuropsychological Assessment, Depression, and Self-Reports |
title_full | Cognitive Deficits in Chronic Stroke Patients: Neuropsychological Assessment, Depression, and Self-Reports |
title_fullStr | Cognitive Deficits in Chronic Stroke Patients: Neuropsychological Assessment, Depression, and Self-Reports |
title_full_unstemmed | Cognitive Deficits in Chronic Stroke Patients: Neuropsychological Assessment, Depression, and Self-Reports |
title_short | Cognitive Deficits in Chronic Stroke Patients: Neuropsychological Assessment, Depression, and Self-Reports |
title_sort | cognitive deficits in chronic stroke patients: neuropsychological assessment, depression, and self-reports |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5624240/ https://www.ncbi.nlm.nih.gov/pubmed/29033974 http://dx.doi.org/10.1159/000478851 |
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