4 years ago

Predicting the progression of Alzheimer's disease dementia: A multidomain health policy model

We develop a multidomain model to predict progression of Alzheimer's disease dementia (AD). Methods Data from the US National Alzheimer's Coordinating Center (n = 3009) are used to examine change in symptom status and to estimate transition probabilities between health states described using cognitive function, functional ability, and behavior. A model is used to predict progression and to assess a hypothetical treatment scenario that slows mild to moderate AD progression. Results More than 70% of participants moved state over 12 months. The majority moved in domains other than cognitive function. Over 5 years, of those alive more than half are in severe AD health states. Assessing an intervention scenario, we see fewer years in more severe health states and a potential impact (life years saved) due to mortality improvements. Discussion The model developed is exploratory and has limitations but illustrates the importance of using a multidomain approach when assessing impacts of AD and interventions.

Publisher URL: www.sciencedirect.com/science

DOI: S1552526016000789

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