Risk Prediction Models Identify Presymptomatic Alzheimer's Disease

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Risk Prediction Models Identify Presymptomatic Alzheimer's Disease
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Risk prediction models based on noncognitive metrics predict both Alzheimer's dementia and cognitive impairment, according to preprint research study. MedTwitter

Participants were older adults from two ongoing community-based cohort studies of aging and dementia: the Rush Memory and Aging Project , and the Religious Orders Study .

Cognitive evaluations utilized 17 tests that assessed five domains of cognitive ability: episodic memory, semantic memory, working memory, visuospatial abilities, and perceptual speed. Associations between predicted risk scores of Alzheimer's dementia and brain pathology were assessed by autopsy. Stepwise addition of cognitive covariates yielded improvement in model performance using only noncognitive covariates.

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