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ABSTRACT: Background
Progression trajectories of patients with mild cognitive impairment (MCI) are currently not well understood.Objective
To classify patients with incident MCI into different latent classes of progression and identify predictors of progression class.Methods
Participants with incident MCI were identified from the US National Alzheimer's Coordinating Center Uniform Data Set (09/2005-02/2019). Clinical Dementia Rating (CDR®) Dementia Staging Instrument-Sum of Boxes (CDR-SB), Functional Activities Questionnaire (FAQ), and Mini-Mental State Examination (MMSE) score longitudinal trajectories from MCI diagnosis were fitted using growth mixture models. Predictors of progression class were identified using multivariate multinomial logistic regression models; odds rat
SUBMITTER: Mouchet J
PROVIDER: S-EPMC8461667 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature