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Modifiable risk factors for dementia and dementia risk profiling. A user manual for Brain Health Services—part 2 of 6

We envisage the development of new Brain Health Services to achieve primary and secondary dementia prevention. These services will complement existing memory clinics by targeting cognitively unimpaired individuals, where the focus is on risk profiling and personalized risk reduction interventions ra...

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Autores principales: Ranson, Janice M., Rittman, Timothy, Hayat, Shabina, Brayne, Carol, Jessen, Frank, Blennow, Kaj, van Duijn, Cornelia, Barkhof, Frederik, Tang, Eugene, Mummery, Catherine J., Stephan, Blossom C. M., Altomare, Daniele, Frisoni, Giovanni B., Ribaldi, Federica, Molinuevo, José Luis, Scheltens, Philip, Llewellyn, David J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507172/
https://www.ncbi.nlm.nih.gov/pubmed/34635138
http://dx.doi.org/10.1186/s13195-021-00895-4
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author Ranson, Janice M.
Rittman, Timothy
Hayat, Shabina
Brayne, Carol
Jessen, Frank
Blennow, Kaj
van Duijn, Cornelia
Barkhof, Frederik
Tang, Eugene
Mummery, Catherine J.
Stephan, Blossom C. M.
Altomare, Daniele
Frisoni, Giovanni B.
Ribaldi, Federica
Molinuevo, José Luis
Scheltens, Philip
Llewellyn, David J.
author_facet Ranson, Janice M.
Rittman, Timothy
Hayat, Shabina
Brayne, Carol
Jessen, Frank
Blennow, Kaj
van Duijn, Cornelia
Barkhof, Frederik
Tang, Eugene
Mummery, Catherine J.
Stephan, Blossom C. M.
Altomare, Daniele
Frisoni, Giovanni B.
Ribaldi, Federica
Molinuevo, José Luis
Scheltens, Philip
Llewellyn, David J.
author_sort Ranson, Janice M.
collection PubMed
description We envisage the development of new Brain Health Services to achieve primary and secondary dementia prevention. These services will complement existing memory clinics by targeting cognitively unimpaired individuals, where the focus is on risk profiling and personalized risk reduction interventions rather than diagnosing and treating late-stage disease. In this article, we review key potentially modifiable risk factors and genetic risk factors and discuss assessment of risk factors as well as additional fluid and imaging biomarkers that may enhance risk profiling. We then outline multidomain measures and risk profiling and provide practical guidelines for Brain Health Services, with consideration of outstanding uncertainties and challenges. Users of Brain Health Services should undergo risk profiling tailored to their age, level of risk, and availability of local resources. Initial risk assessment should incorporate a multidomain risk profiling measure. For users aged 39–64, we recommend the Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) Dementia Risk Score, whereas for users aged 65 and older, we recommend the Brief Dementia Screening Indicator (BDSI) and the Australian National University Alzheimer’s Disease Risk Index (ANU-ADRI). The initial assessment should also include potentially modifiable risk factors including sociodemographic, lifestyle, and health factors. If resources allow, apolipoprotein E ɛ4 status testing and structural magnetic resonance imaging should be conducted. If this initial assessment indicates a low dementia risk, then low intensity interventions can be implemented. If the user has a high dementia risk, additional investigations should be considered if local resources allow. Common variant polygenic risk of late-onset AD can be tested in middle-aged or older adults. Rare variants should only be investigated in users with a family history of early-onset dementia in a first degree relative. Advanced imaging with 18-fluorodeoxyglucose positron emission tomography (FDG-PET) or amyloid PET may be informative in high risk users to clarify the nature and burden of their underlying pathologies. Cerebrospinal fluid biomarkers are not recommended for this setting, and blood-based biomarkers need further validation before clinical use. As new technologies become available, advances in artificial intelligence are likely to improve our ability to combine diverse data to further enhance risk profiling. Ultimately, Brain Health Services have the potential to reduce the future burden of dementia through risk profiling, risk communication, personalized risk reduction, and cognitive enhancement interventions.
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spelling pubmed-85071722021-10-25 Modifiable risk factors for dementia and dementia risk profiling. A user manual for Brain Health Services—part 2 of 6 Ranson, Janice M. Rittman, Timothy Hayat, Shabina Brayne, Carol Jessen, Frank Blennow, Kaj van Duijn, Cornelia Barkhof, Frederik Tang, Eugene Mummery, Catherine J. Stephan, Blossom C. M. Altomare, Daniele Frisoni, Giovanni B. Ribaldi, Federica Molinuevo, José Luis Scheltens, Philip Llewellyn, David J. Alzheimers Res Ther Review We envisage the development of new Brain Health Services to achieve primary and secondary dementia prevention. These services will complement existing memory clinics by targeting cognitively unimpaired individuals, where the focus is on risk profiling and personalized risk reduction interventions rather than diagnosing and treating late-stage disease. In this article, we review key potentially modifiable risk factors and genetic risk factors and discuss assessment of risk factors as well as additional fluid and imaging biomarkers that may enhance risk profiling. We then outline multidomain measures and risk profiling and provide practical guidelines for Brain Health Services, with consideration of outstanding uncertainties and challenges. Users of Brain Health Services should undergo risk profiling tailored to their age, level of risk, and availability of local resources. Initial risk assessment should incorporate a multidomain risk profiling measure. For users aged 39–64, we recommend the Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) Dementia Risk Score, whereas for users aged 65 and older, we recommend the Brief Dementia Screening Indicator (BDSI) and the Australian National University Alzheimer’s Disease Risk Index (ANU-ADRI). The initial assessment should also include potentially modifiable risk factors including sociodemographic, lifestyle, and health factors. If resources allow, apolipoprotein E ɛ4 status testing and structural magnetic resonance imaging should be conducted. If this initial assessment indicates a low dementia risk, then low intensity interventions can be implemented. If the user has a high dementia risk, additional investigations should be considered if local resources allow. Common variant polygenic risk of late-onset AD can be tested in middle-aged or older adults. Rare variants should only be investigated in users with a family history of early-onset dementia in a first degree relative. Advanced imaging with 18-fluorodeoxyglucose positron emission tomography (FDG-PET) or amyloid PET may be informative in high risk users to clarify the nature and burden of their underlying pathologies. Cerebrospinal fluid biomarkers are not recommended for this setting, and blood-based biomarkers need further validation before clinical use. As new technologies become available, advances in artificial intelligence are likely to improve our ability to combine diverse data to further enhance risk profiling. Ultimately, Brain Health Services have the potential to reduce the future burden of dementia through risk profiling, risk communication, personalized risk reduction, and cognitive enhancement interventions. BioMed Central 2021-10-11 /pmc/articles/PMC8507172/ /pubmed/34635138 http://dx.doi.org/10.1186/s13195-021-00895-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Review
Ranson, Janice M.
Rittman, Timothy
Hayat, Shabina
Brayne, Carol
Jessen, Frank
Blennow, Kaj
van Duijn, Cornelia
Barkhof, Frederik
Tang, Eugene
Mummery, Catherine J.
Stephan, Blossom C. M.
Altomare, Daniele
Frisoni, Giovanni B.
Ribaldi, Federica
Molinuevo, José Luis
Scheltens, Philip
Llewellyn, David J.
Modifiable risk factors for dementia and dementia risk profiling. A user manual for Brain Health Services—part 2 of 6
title Modifiable risk factors for dementia and dementia risk profiling. A user manual for Brain Health Services—part 2 of 6
title_full Modifiable risk factors for dementia and dementia risk profiling. A user manual for Brain Health Services—part 2 of 6
title_fullStr Modifiable risk factors for dementia and dementia risk profiling. A user manual for Brain Health Services—part 2 of 6
title_full_unstemmed Modifiable risk factors for dementia and dementia risk profiling. A user manual for Brain Health Services—part 2 of 6
title_short Modifiable risk factors for dementia and dementia risk profiling. A user manual for Brain Health Services—part 2 of 6
title_sort modifiable risk factors for dementia and dementia risk profiling. a user manual for brain health services—part 2 of 6
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507172/
https://www.ncbi.nlm.nih.gov/pubmed/34635138
http://dx.doi.org/10.1186/s13195-021-00895-4
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