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Geriatrics 2017, 2(3), 19; doi:10.3390/geriatrics2030019

Risk Prediction Models for Post-Stroke Dementia

Newcastle University Institute of Ageing, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, UK
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Received: 7 April 2017 / Revised: 8 June 2017 / Accepted: 16 June 2017 / Published: 22 June 2017
(This article belongs to the Special Issue Stroke in Ageing)
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Abstract

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. View Full-Text
Keywords: stroke; dementia; risk prediction stroke; dementia; risk prediction
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Tang, E.Y.H.; Robinson, L.; Stephan, B.C.M. Risk Prediction Models for Post-Stroke Dementia. Geriatrics 2017, 2, 19.

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