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| The following article is part of conference coverage from the 2018 American Academy of Neurology Annual Meeting in Los Angeles, California. Neurology Advisor’s staff will be reporting breaking news associated with research conducted by leading experts in neurology. Check back for the latest news from AAN 2018. |
LOS ANGELES — A meta-analysis of 44 studies has identified that baseline population characteristics may affect the correlation between blood pressure and the risk of dementia. This research was presented at the 70th annual American Academy of Neurology meeting, held April 21-27, 2018, in Los Angeles, California.
Studies have shown a controversial relationship between blood pressure and risk for dementia, which hampers application in clinical practice.
This meta-analysis reviewed 9 studies with 1034 cases of vascular dementia in 961,724 subjects, 14 studies with 3059 cases of Alzheimer disease in 968,046 subjects, and 21 studies with 7106 cases of all-cause dementia in 1,023,011 subjects. The link between blood pressure and risk for dementia was found to change based on hypertensive treatment status, baseline age, and the presence of the APOE ε4 mutation.
A nonlinear relationship between systolic blood pressure values and late-life, all-cause dementia was identified (P<.05). In the population between the ages of 62 and 82, systolic blood pressure of 110 to 120 mm Hg was associated with a decreased risk for dementia. In the population between the ages of 70 and 86.5, systolic blood pressure >162 mm Hg increased the risk for dementia.
Increasing diastolic blood pressure was also associated with a decreased risk for Alzheimer disease in late years of life.
The findings from this meta-analysis reveal that a strategy for managing blood pressure “for dementia prevention might be tailored according to specific population characteristics.”
For more coverage of AAN 2018, click here.
Reference
Xu W. Blood pressure and the risk of dementia: a systematic review and dose-response meta-analysis of prospective studies. Presented at: 2018 American Academy of Neurology Annual Meeting; April 21-27, 2018; Los Angeles, CA. Abstract 196.
