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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.
Affiliation
  • Ranson JM; College of Medicine and Health, University of Exeter, Exeter, UK.
  • Rittman T; Deep Dementia Phenotyping (DEMON) Network, Exeter, UK.
  • Hayat S; Deep Dementia Phenotyping (DEMON) Network, Exeter, UK.
  • Brayne C; Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
  • Jessen F; Department of Public Health and Primary Care, Cambridge Public Health, University of Cambridge, Cambridge, UK.
  • Blennow K; Department of Public Health and Primary Care, Cambridge Public Health, University of Cambridge, Cambridge, UK.
  • van Duijn C; Department of Psychiatry and Psychotherapy, Medical Faculty, University of Cologne, Cologne, Germany.
  • Barkhof F; Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.
  • Tang E; Nuffield Department of Population Health, University of Oxford, Oxford, UK.
  • Mummery CJ; Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
  • Stephan BCM; Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, The Netherlands.
  • Altomare D; Deep Dementia Phenotyping (DEMON) Network, Exeter, UK.
  • Frisoni GB; Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.
  • Ribaldi F; Deep Dementia Phenotyping (DEMON) Network, Exeter, UK.
  • Molinuevo JL; Dementia Research Centre, Institute of Neurology, University College London, and National Hospital for Neurology and Neurosurgery, University College London Hospital, London, UK.
  • Scheltens P; Institute of Mental Health, Division of Psychiatry and Applied Psychology, School of Medicine, Nottingham University, Nottingham, UK.
  • Llewellyn DJ; Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland.
Alzheimers Res Ther ; 13(1): 169, 2021 10 11.
Article in En | MEDLINE | ID: mdl-34635138
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Dementia / Alzheimer Disease Type of study: Etiology_studies / Guideline / Risk_factors_studies Limits: Aged / Humans / Middle aged Country/Region as subject: Oceania Language: En Journal: Alzheimers Res Ther Year: 2021 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Dementia / Alzheimer Disease Type of study: Etiology_studies / Guideline / Risk_factors_studies Limits: Aged / Humans / Middle aged Country/Region as subject: Oceania Language: En Journal: Alzheimers Res Ther Year: 2021 Document type: Article Affiliation country: