Clinical factors predicting the rate of cognitive decline in a US memory clinic: An electronic health record study.

ABSTRACT:

Introduction

Dementia progression is heterogeneous and predicting who will decline quickly remains an open problem. Most work in this area has focused on volunteer-based cohorts, which are subject to recruitment biases. Instead, we examine predictors of rate of cognitive decline in cognitive assessment scores using electronic health record (EHR) data from a US memory clinic.

Methods

Data include patients with their first memory clinic visit (baseline) between January 1, 2014 and May 31, 2024. We used a discrete-time model to identify significant predictors of baseline and 6 month change in Mini-Mental State Examination (MMSE) scores (Montreal Cognitive Assessment scores were converted to MMSE equivalents for analysis). Inverse probability weighting was used to account for se

SUBMITTER: Adams R 

PROVIDER: S-EPMC12019301 | biostudies-literature | 2025 Apr-Jun

REPOSITORIES: biostudies-literature