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

Authors :
Janice M. Ranson
Timothy Rittman
Shabina Hayat
Carol Brayne
Frank Jessen
Kaj Blennow
Cornelia van Duijn
Frederik Barkhof
Eugene Tang
Catherine J. Mummery
Blossom C. M. Stephan
Daniele Altomare
Giovanni B. Frisoni
Federica Ribaldi
José Luis Molinuevo
Philip Scheltens
David J. Llewellyn
on behalf of the European Task Force for Brain Health Services
Source :
Alzheimer’s Research & Therapy, Vol 13, Iss 1, Pp 1-12 (2021)
Publication Year :
2021
Publisher :
BMC, 2021.

Abstract

Abstract 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.

Details

Language :
English
ISSN :
17589193
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Alzheimer’s Research & Therapy
Publication Type :
Academic Journal
Accession number :
edsdoj.b32cfaafd9ce4f9999e42323b5763f5f
Document Type :
article
Full Text :
https://doi.org/10.1186/s13195-021-00895-4