Clusters of cognitive performance predict long-term cognitive impairment in elderly patients with subjective memory complaints and healthy controls.

ABSTRACT:

Introduction

Patients with subjective memory complaints (SMC) may include subgroups with different neuropsychological profiles and risks of cognitive impairment.

Methods

Cluster analysis was performed on two datasets (n: 630 and 734) comprising demographic and neuropsychological data from SMC and healthy controls (HC). Survival analyses were conducted on clusters. Bayesian model averaging assessed the predictive utility of clusters and other biomarkers.

Results

Two clusters with higher and lower than average cognitive performance were detected in SMC and HC. Assignment to the lower performance cluster increased the risk of cognitive impairment in both datasets (hazard ratios: 1.78 and 2.96; P_log-rank: 0.04 and <0.001) and was associated with lower hippocamp

SUBMITTER: Jimenez-Huete A 

PROVIDER: S-EPMC11247668 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature