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Potential Value of Impaired Cognition in Stroke Prediction: A U.K. Population‐Based Study
OBJECTIVES: To determine whether the association between impaired cognition and greater risk of incident stroke is also observed when cognitive impairment is defined using different criteria for mild cognitive impairment (MCI). DESIGN: Prospective cohort study with 10 years of follow‐up. SETTING: La...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5574015/ https://www.ncbi.nlm.nih.gov/pubmed/28369710 http://dx.doi.org/10.1111/jgs.14878 |
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author | Stephan, Blossom C. M. Richardson, Kathryn Savva, George M. Matthews, Fiona E. Brayne, Carol Hachinski, Vladimir |
author_facet | Stephan, Blossom C. M. Richardson, Kathryn Savva, George M. Matthews, Fiona E. Brayne, Carol Hachinski, Vladimir |
author_sort | Stephan, Blossom C. M. |
collection | PubMed |
description | OBJECTIVES: To determine whether the association between impaired cognition and greater risk of incident stroke is also observed when cognitive impairment is defined using different criteria for mild cognitive impairment (MCI). DESIGN: Prospective cohort study with 10 years of follow‐up. SETTING: Large multicentre study in the United Kingdom. PARTICIPANTS: Individuals (aged 64–105) from the Medical Research Council Cognitive Function and Ageing Study (N = 13,004). From this, a subsample of 2,640 individuals was selected based on age, center, and cognitive ability to undergo a detailed cognitive assessment. MEASUREMENTS: Information on sociodemographic characteristics, health, cognition, and functional ability was collected in an interview. The Geriatric Mental State Automated Geriatric Examination for Computer Assisted Taxonomy and the Cambridge Cognitive Examination were used to determine cognitive status. Stroke incidence was derived from self‐report, informant report, and death certificates. Participants were divided into no, mild, moderate, and severe cognitive impairment according to their baseline Mini‐Mental State Examination (MMSE) score. MCI criteria were used to classify persons into four groups: no cognitive impairment, MCI, severe impairment (i.e. other cognitive impairment no dementia: OCIND) and dementia. RESULTS: Over 10 years, 703 incident strokes occurred. Lower MMSE score at baseline was associated with greater risk of incident stroke. When cognitive status was determined according to MCI criteria, those with severe impairment (odds ratio (OR) = 1.5, 95% confidence interval (CI) = 1.0–2.2) and dementia (OR = 2.6, 95% CI = 1.6–3.4) had a significantly greater risk of stroke than those with no cognitive impairment. CONCLUSION: Criteria for MCI, defined using MMSE scores or clinical criteria, can capture individuals at greater stroke risk. The results highlight the need to focus on stroke risk in individuals even with MCI. |
format | Online Article Text |
id | pubmed-5574015 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-55740152017-09-15 Potential Value of Impaired Cognition in Stroke Prediction: A U.K. Population‐Based Study Stephan, Blossom C. M. Richardson, Kathryn Savva, George M. Matthews, Fiona E. Brayne, Carol Hachinski, Vladimir J Am Geriatr Soc Clinical Investigations OBJECTIVES: To determine whether the association between impaired cognition and greater risk of incident stroke is also observed when cognitive impairment is defined using different criteria for mild cognitive impairment (MCI). DESIGN: Prospective cohort study with 10 years of follow‐up. SETTING: Large multicentre study in the United Kingdom. PARTICIPANTS: Individuals (aged 64–105) from the Medical Research Council Cognitive Function and Ageing Study (N = 13,004). From this, a subsample of 2,640 individuals was selected based on age, center, and cognitive ability to undergo a detailed cognitive assessment. MEASUREMENTS: Information on sociodemographic characteristics, health, cognition, and functional ability was collected in an interview. The Geriatric Mental State Automated Geriatric Examination for Computer Assisted Taxonomy and the Cambridge Cognitive Examination were used to determine cognitive status. Stroke incidence was derived from self‐report, informant report, and death certificates. Participants were divided into no, mild, moderate, and severe cognitive impairment according to their baseline Mini‐Mental State Examination (MMSE) score. MCI criteria were used to classify persons into four groups: no cognitive impairment, MCI, severe impairment (i.e. other cognitive impairment no dementia: OCIND) and dementia. RESULTS: Over 10 years, 703 incident strokes occurred. Lower MMSE score at baseline was associated with greater risk of incident stroke. When cognitive status was determined according to MCI criteria, those with severe impairment (odds ratio (OR) = 1.5, 95% confidence interval (CI) = 1.0–2.2) and dementia (OR = 2.6, 95% CI = 1.6–3.4) had a significantly greater risk of stroke than those with no cognitive impairment. CONCLUSION: Criteria for MCI, defined using MMSE scores or clinical criteria, can capture individuals at greater stroke risk. The results highlight the need to focus on stroke risk in individuals even with MCI. John Wiley and Sons Inc. 2017-04-03 2017-08 /pmc/articles/PMC5574015/ /pubmed/28369710 http://dx.doi.org/10.1111/jgs.14878 Text en © 2017 The Authors. The Journal of the American Geriatrics Society published by Wiley Periodicals, Inc. on behalf of The American Geriatrics Society. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Investigations Stephan, Blossom C. M. Richardson, Kathryn Savva, George M. Matthews, Fiona E. Brayne, Carol Hachinski, Vladimir Potential Value of Impaired Cognition in Stroke Prediction: A U.K. Population‐Based Study |
title | Potential Value of Impaired Cognition in Stroke Prediction: A U.K. Population‐Based Study |
title_full | Potential Value of Impaired Cognition in Stroke Prediction: A U.K. Population‐Based Study |
title_fullStr | Potential Value of Impaired Cognition in Stroke Prediction: A U.K. Population‐Based Study |
title_full_unstemmed | Potential Value of Impaired Cognition in Stroke Prediction: A U.K. Population‐Based Study |
title_short | Potential Value of Impaired Cognition in Stroke Prediction: A U.K. Population‐Based Study |
title_sort | potential value of impaired cognition in stroke prediction: a u.k. population‐based study |
topic | Clinical Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5574015/ https://www.ncbi.nlm.nih.gov/pubmed/28369710 http://dx.doi.org/10.1111/jgs.14878 |
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