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Brunner, E.J., Shipley, M.J., Britton, A.R., Stansfeld, S.A., Heuschmann, P.U., Rudd, A.G., Wolfe, D.A., Singh-Manoux, A. and Kivimaki, M. (2014) Depressive Disorder, Coronary Heart Disease, and Stroke: Dose-Response and Reverse Causation Effects in the Whitehall II Cohort Study. European Journal of Preventive Cardiology, 21, 340-346.
https://doi.org/10.1177/2047487314520785
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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