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Risk Prediction Models for Post-Stroke Dementia

A strong association exists between stroke and dementia with both diseases linked to ageing. Survival rates from stroke are improving which would equate to an ever-expanding population of patients at risk of future dementia. Early or timelier identification of dementia has become a priority in many...

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Detalles Bibliográficos
Autores principales: Tang, Eugene Yee Hing, Robinson, Louise, Stephan, Blossom Christa Maree
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371182/
https://www.ncbi.nlm.nih.gov/pubmed/31011029
http://dx.doi.org/10.3390/geriatrics2030019
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author Tang, Eugene Yee Hing
Robinson, Louise
Stephan, Blossom Christa Maree
author_facet Tang, Eugene Yee Hing
Robinson, Louise
Stephan, Blossom Christa Maree
author_sort Tang, Eugene Yee Hing
collection PubMed
description A strong association exists between stroke and dementia with both diseases linked to ageing. Survival rates from stroke are improving which would equate to an ever-expanding population of patients at risk of future dementia. Early or timelier identification of dementia has become a priority in many countries, including the UK. Although screening for dementia is not advocated, targeting at risk populations could be used to reduce an individual’s risk via intervention (i.e., personalised medicine), where available. One approach to improving identification of high-risk dementia individuals is using risk prediction models. Such models could be applied to stroke survivors. Dementia risk prediction models specific to stroke survivors have recently been developed and will be discussed here.
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spelling pubmed-63711822019-03-07 Risk Prediction Models for Post-Stroke Dementia Tang, Eugene Yee Hing Robinson, Louise Stephan, Blossom Christa Maree Geriatrics (Basel) Communication A strong association exists between stroke and dementia with both diseases linked to ageing. Survival rates from stroke are improving which would equate to an ever-expanding population of patients at risk of future dementia. Early or timelier identification of dementia has become a priority in many countries, including the UK. Although screening for dementia is not advocated, targeting at risk populations could be used to reduce an individual’s risk via intervention (i.e., personalised medicine), where available. One approach to improving identification of high-risk dementia individuals is using risk prediction models. Such models could be applied to stroke survivors. Dementia risk prediction models specific to stroke survivors have recently been developed and will be discussed here. MDPI 2017-06-22 /pmc/articles/PMC6371182/ /pubmed/31011029 http://dx.doi.org/10.3390/geriatrics2030019 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Tang, Eugene Yee Hing
Robinson, Louise
Stephan, Blossom Christa Maree
Risk Prediction Models for Post-Stroke Dementia
title Risk Prediction Models for Post-Stroke Dementia
title_full Risk Prediction Models for Post-Stroke Dementia
title_fullStr Risk Prediction Models for Post-Stroke Dementia
title_full_unstemmed Risk Prediction Models for Post-Stroke Dementia
title_short Risk Prediction Models for Post-Stroke Dementia
title_sort risk prediction models for post-stroke dementia
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371182/
https://www.ncbi.nlm.nih.gov/pubmed/31011029
http://dx.doi.org/10.3390/geriatrics2030019
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