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Debette, S., Beiser, A., DeCarli, D., Au, R., Himali, J.J., Kelly-Hayes, M., Romero, J.R., Kase, C.S., Wolf, P.A. and Seshadri, S. (2010) Association of MRI Markers of Vascular Brain Injury with Incident Stroke, Mild Cognitive Impairment, Dementia, and Mortality: The Framingham Offspring Study. Stroke, 41, 600-606.
https://doi.org/10.1161/STROKEAHA.109.570044
has been cited by the following article:
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TITLE:
Mathematical Model for Stroke and White Matter Hyperintensities
AUTHORS:
James M. Gregory
KEYWORDS:
Stroke, White Matter Hyperintensities, WMH, Aging, Depression, Trauma, PTSD
JOURNAL NAME:
Journal of Behavioral and Brain Science,
Vol.13 No.4,
April
30,
2023
ABSTRACT: A mathematical model was developed to predict the risk of having a stroke as a person ages. The age component was derived from the concept that the change in risk of stroke with age is a function of the current risk of developing a stroke. This equation modeled the trend with age reported in the literature for two different data sets with R2 values of 0.97 or better for both men and women. A second equation of a similar nature was developed to predict the accumulation of white matter hyperintensities, WMH, as a person ages. It appears that each equation includes a set of common risk factors. This set of common risk factors allows an individual’s risk for stroke to be based on measured WMH. A third equation links WMH with the risk of developing a stroke. This equation allows an individual to use measured WMH from brain scans to predict the future risk of developing a stroke. In theory, a person with a relatively high measurement of WMH can project future risk for stroke with age and use counter measures such as exercise and medications to keep other risk factors low as a person continues to age.
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