Predicting CDR status over 36 months with a recall-based digital cognitive biomarker.

ABSTRACT:

Introduction

Word-list recall tests are routinely used for cognitive assessment, and process scoring may improve their accuracy. We examined whether Alzheimer's Disease Assessment Scale-Cognitive subscale (ADAS-Cog) derived, process-based digital cognitive biomarkers (DCBs) at baseline predicted Clinical Dementia Rating (CDR) longitudinally and compared them to standard metrics.

Methods

Analyses were performed with Alzheimer's Disease Neuroimaging Initiative (ADNI) data from 330 participants (mean age = 71.4 ± 7.2). We conducted regression analyses predicting CDR at 36 months, controlling for demographics and genetic risk, with ADAS-Cog traditional scores and DCBs as predictors.

Results

The best predictor of CDR at 36 months was M, a DCB reflecting recall ability (are

SUBMITTER: Bruno D 

PROVIDER: S-EPMC11485075 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature