Modifiable risk factors for dementia and dementia risk profiling. A user manual for Brain Health Services—part 2 of 6
Ranson, Janice M.
van Duijn, Cornelia
Mummery, Catherine J.
Stephan, Blossom C. M.
Frisoni, Giovanni B.
Molinuevo, José Luis
Llewellyn, David J.
J. Llewellyn, David
Nilsson, Peter M.
van der Flier, Wiesje
Alzheimer's Research & Therapy
MetadataShow full item record
Ranson, J. M., Rittman, T., Hayat, S., Brayne, C., Jessen, F., Blennow, K., van Duijn, C., et al. (2021). Modifiable risk factors for dementia and dementia risk profiling. A user manual for Brain Health Services—part 2 of 6. Alzheimer's Research & Therapy, 13 (1) https://doi.org/10.1186/s13195-021-00895-4
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.
Review, Brain Health Services, Alzheimer’s disease, Dementia, Aging, Brain health services, Risk factors, Risk profiling, Prevention, Public health
Swiss National Science Foundation (IZSEZ0_193593)
External DOI: https://doi.org/10.1186/s13195-021-00895-4
This record's URL: https://www.repository.cam.ac.uk/handle/1810/330237
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