The list of vascular, lifestyle-related and other risk factors and biomarkers associated with dementia development has constantly grown over the past few years. A recent study emphasizes the importance of risk prediction models for identification of individuals with increased risk of future cognitive impairment who could benefit from preventive interventions.
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References
Pankratz, V. S. et al. Predicting the risk of mild cognitive impairment in the Mayo Clinic Study of Aging. Neurology 84, 1433–1442 (2015).
Stephan, B. C., Kurth, T., Matthews, F. E., Brayne, C. & Dufouil, C. Dementia risk prediction in the population: are screening models accurate? Nat. Rev. Neurol. 6, 318–326 (2010).
Lloyd-Jones, D. M. Cardiovascular risk prediction: basic concepts, current status, and future directions. Circulation 121, 1768–1777 (2010).
Morris, J. C. et al. Harmonized diagnostic criteria for Alzheimer's disease: recommendations. J. Intern. Med. 275, 204–213 (2014).
Collins, G. S., Reitsma, J. B., Altman, D. G., Moons, K. G. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. BMJ 350, g7594 (2015).
Kaffashian, S. et al. Predicting cognitive decline: a dementia risk score vs. the Framingham vascular risk scores. Neurology 80, 1300–1306 (2013).
Reijmer, Y. D. et al. Dementia risk score predicts cognitive impairment after a period of 15 years in a nondemented population. Dement. Geriatr. Cogn. Disord. 31, 152–157 (2011).
Vuorinen, M. et al. Midlife CAIDE dementia risk score and dementia-related brain changes up to 30 years later on magnetic resonance imaging. J. Alzheimers Dis. 44, 93–101 (2015).
Ngandu, T. et al. A 2 year multidomain intervention of diet, exercise, cognitive training, and vascular risk monitoring versus control to prevent cognitive decline in at-risk elderly people (FINGER): a randomized controlled trial. Lancet http://dx.doi.org/10.1016/S0140-6736(15)60461-5.
Mattila, J. Disease State Index and Disease State Fingerprint. Supervised learning applied to clinical decision support in Alzheimer's disease [online], (2013).
Acknowledgements
The authors wish to acknowledge the following funding: VPH-DARE@IT (FP7-ICT-2011-9-601055) and MIND-AD, Academy of Finland, 291803, EU Joint Programme—Neurodegenerative Disease Research (JPND) projects.
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Supplementary Table 1
Brief summary of characteristics and predictive performance for available dementia risk scores (DOCX 28 kb)
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Solomon, A., Soininen, H. Risk prediction models in dementia prevention. Nat Rev Neurol 11, 375–377 (2015). https://doi.org/10.1038/nrneurol.2015.81
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DOI: https://doi.org/10.1038/nrneurol.2015.81
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