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Impact of different methods defining post-stroke neurocognitive disorder: the Nor-COAST study

Abstract:
Introduction: Post-stroke neurocognitive disorder (NCD) is common; prevalence varies between studies, partially related to lack of consensus on how to identify cases. The aim was to compare the prevalence of post-stroke NCD using only cognitive assessment (model A), DSM-5 criteria (model B), and the Global Deterioration Scale (model C) and to determine agreement among the three models.

Methods: In the Norwegian Cognitive Impairment After Stroke study, 599 patients were assessed 3 months after suffering a stroke.

Results: The prevalence of mild NCD varied from 174 (29%) in model B to 83 (14%) in model C; prevalence of major NCD varied from 249 (42%) in model A to 68 (11%) in model C. Cohen's kappa and Cohen's quadratic weighted kappa showed fair to very good agreement among models; the poorest agreement was found for identification of mild NCD.

Discussion: The findings indicate a need for international harmonization to classify post-stroke NCD.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1002/trc2.12000

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Role:
Author
ORCID:
0000-0002-2036-0674
More by this author
Role:
Author
ORCID:
0000-0002-9116-6991


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Funder identifier:
https://ror.org/04t838f48


Publisher:
Wiley
Journal:
Alzheimer's & Dementia: Translational Research & Clinical Interventions More from this journal
Volume:
6
Issue:
1
Pages:
e12000-
Place of publication:
United States
Publication date:
2020-03-16
Acceptance date:
2020-01-29
DOI:
EISSN:
2352-8737
Pmid:
32211505


Language:
English
Keywords:
Pubs id:
1147575
Local pid:
pubs:1147575
Deposit date:
2025-04-23
ARK identifier:

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