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Dataset Information

Role of Morbidity Clusters in Midlife on Ischemic Stroke Incidence and Severity: The ARIC Study.


ABSTRACT:

Background

There is a strong association between vascular risk factors, particularly in midlife, and stroke risk; therefore, the co-occurrence of multiple risk factors may be especially informative. This study used a machine-learning-based cluster analysis to group individuals into clusters based on similar clinical profiles in midlife and assessed the clusters' associations with stroke risk and severity.

Methods

Participants (N=15 404) without prevalent stroke from the ARIC study (Atherosclerosis Risk in Communities) were included. An unsupervised agglomerative hierarchical clustering approach was used to allocate participants into clusters based on the presence of clinical risk factors in midlife: hypertension, diabetes, coronary heart disease, heart failure, atrial fibril

SUBMITTER: Egle M 

PROVIDER: S-EPMC12447826 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature