Secondary Prevention of Dementia: Combining Risk Factors and Scalable Screening Technology
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that is the most common cause of dementia. Over a third of dementia cases are estimated to be due to potentially modifiable risk factors, thus offering opportunities for both identification of those most likely to be in early...
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Frontiers Media S.A.
2021
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oai:doaj.org-article:64e90d709f69493c8e1d0e31eaa1849a2021-11-15T06:48:20ZSecondary Prevention of Dementia: Combining Risk Factors and Scalable Screening Technology1664-229510.3389/fneur.2021.772836https://doaj.org/article/64e90d709f69493c8e1d0e31eaa1849a2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fneur.2021.772836/fullhttps://doaj.org/toc/1664-2295Alzheimer's disease (AD) is a progressive neurodegenerative disorder that is the most common cause of dementia. Over a third of dementia cases are estimated to be due to potentially modifiable risk factors, thus offering opportunities for both identification of those most likely to be in early disease as well as secondary prevention. Diabetes, hypertension and chronic kidney failure have all been linked to increased risk for AD and dementia and through their high prevalence are particularly apt targets for initiatives to reduce burden of AD. This can take place through targeted interventions of cardiovascular risk factors (shown to improve cognitive outcomes) or novel disease modifying treatments in people with confirmed AD pathology. The success of this approach to secondary prevention depends on the availability of inexpensive and scalable methods for detecting preclinical and prodromal dementia states. Developments in blood-based biomarkers for Alzheimer's disease are rapidly becoming a viable such method for monitoring large at-risk groups. In addition, digital technologies for remote monitoring of cognitive and behavioral changes can add clinically relevant data to further improve personalisation of prevention strategies. This review sets the scene for this approach to secondary care of dementia through a review of the evidence for cardiovascular risk factors (diabetes, hypertension and chronic kidney disease) as major risk factors for AD. We then summarize the developments in blood-based and cognitive biomarkers that allow the detection of pathological states at the earliest possible stage. We propose that at-risk cohorts should be created based on the interaction between cardiovascular and constitutional risk factors. These cohorts can then be monitored effectively using a combination of blood-based biomarkers and digital technologies. We argue that this strategy allows for both risk factor reduction-based prevention programmes as well as for optimisation of any benefits offered by current and future disease modifying treatment through rapid identification of individuals most likely to benefit from them.Triin OjakäärIvan KoychevFrontiers Media S.A.articledementiaAlzheimer's diseasesecondary preventiondiabeteshypertensionchronic kidney diseaseNeurology. Diseases of the nervous systemRC346-429ENFrontiers in Neurology, Vol 12 (2021) |
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dementia Alzheimer's disease secondary prevention diabetes hypertension chronic kidney disease Neurology. Diseases of the nervous system RC346-429 |
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dementia Alzheimer's disease secondary prevention diabetes hypertension chronic kidney disease Neurology. Diseases of the nervous system RC346-429 Triin Ojakäär Ivan Koychev Secondary Prevention of Dementia: Combining Risk Factors and Scalable Screening Technology |
description |
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that is the most common cause of dementia. Over a third of dementia cases are estimated to be due to potentially modifiable risk factors, thus offering opportunities for both identification of those most likely to be in early disease as well as secondary prevention. Diabetes, hypertension and chronic kidney failure have all been linked to increased risk for AD and dementia and through their high prevalence are particularly apt targets for initiatives to reduce burden of AD. This can take place through targeted interventions of cardiovascular risk factors (shown to improve cognitive outcomes) or novel disease modifying treatments in people with confirmed AD pathology. The success of this approach to secondary prevention depends on the availability of inexpensive and scalable methods for detecting preclinical and prodromal dementia states. Developments in blood-based biomarkers for Alzheimer's disease are rapidly becoming a viable such method for monitoring large at-risk groups. In addition, digital technologies for remote monitoring of cognitive and behavioral changes can add clinically relevant data to further improve personalisation of prevention strategies. This review sets the scene for this approach to secondary care of dementia through a review of the evidence for cardiovascular risk factors (diabetes, hypertension and chronic kidney disease) as major risk factors for AD. We then summarize the developments in blood-based and cognitive biomarkers that allow the detection of pathological states at the earliest possible stage. We propose that at-risk cohorts should be created based on the interaction between cardiovascular and constitutional risk factors. These cohorts can then be monitored effectively using a combination of blood-based biomarkers and digital technologies. We argue that this strategy allows for both risk factor reduction-based prevention programmes as well as for optimisation of any benefits offered by current and future disease modifying treatment through rapid identification of individuals most likely to benefit from them. |
format |
article |
author |
Triin Ojakäär Ivan Koychev |
author_facet |
Triin Ojakäär Ivan Koychev |
author_sort |
Triin Ojakäär |
title |
Secondary Prevention of Dementia: Combining Risk Factors and Scalable Screening Technology |
title_short |
Secondary Prevention of Dementia: Combining Risk Factors and Scalable Screening Technology |
title_full |
Secondary Prevention of Dementia: Combining Risk Factors and Scalable Screening Technology |
title_fullStr |
Secondary Prevention of Dementia: Combining Risk Factors and Scalable Screening Technology |
title_full_unstemmed |
Secondary Prevention of Dementia: Combining Risk Factors and Scalable Screening Technology |
title_sort |
secondary prevention of dementia: combining risk factors and scalable screening technology |
publisher |
Frontiers Media S.A. |
publishDate |
2021 |
url |
https://doaj.org/article/64e90d709f69493c8e1d0e31eaa1849a |
work_keys_str_mv |
AT triinojakaar secondarypreventionofdementiacombiningriskfactorsandscalablescreeningtechnology AT ivankoychev secondarypreventionofdementiacombiningriskfactorsandscalablescreeningtechnology |
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1718428556406554624 |