Effect of Alzheimer's disease risk and protective factors on cognitive trajectories in subjective memory complainers: An INSIGHT-preAD study

Abstract Introduction Cognitive change in people at risk of Alzheimer's disease (AD) such as subjective memory complainers is highly variable across individuals. Methods We used latent class growth modeling to identify distinct classes of nonlinear trajectoriesof cognitive change over 2 years follow-up from 265 subjective memory complainers individuals (age 70 years and older) of the INSIGHT-preAD cohort. We determined the effect of cortical amyloid load, hippocampus and basal forebrainvolumes, and education on the cognitive trajectoryclasses. Results Latent class growth modeling identified distinct nonlinear cognitive trajectories. Education was associated with higher performing trajectories, whereas global amyloid load and basal forebrainatrophy were associated with lower performing trajectories. Discussion Distinct classes of cognitive trajectorieswere associated with risk and protective factors of AD. These associations support the notion that the identified cognitive trajectoriesreflect different risk for AD that may be useful for selecting high-risk individuals for intervention trials.