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Dataset Information

Classification, Prediction, and Concordance of Cognitive and Functional Progression in Patients with Mild Cognitive Impairment in the United States: A Latent Class Analysis.


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