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Exploratory cluster analysis of noninvasive vascular measures reveals heterogeneous vascular profiles after stroke

Year: 2026

Type: article

Abstract: Vascular dysfunction is prevalent after stroke and contributes to elevated cardiovascular risk; however, the extent to which vascular heterogeneity exists in this population remains unclear. This study examined whether distinct multi-domain cluster-derived vascular profiles are present in individuals with chronic stroke and whether these profiles are associated with functional performance. Vascular structure and function were assessed using flow-mediated dilation, carotid intima-media thickness, pulse wave velocity, and augmentation index, with age included in vascular clustering to account for vascular aging. Unsupervised k-means clustering was applied to identify vascular profiles. Functional performance was assessed using gait speed and predicted peak oxygen consumption (VO2peak) derived from a submaximal exercise test. Between-cluster differences were characterized using analysis of variance. Forty-five individuals with chronic stroke (62 ± 12 years; 29 ± 30 months post-stroke) were included. Three vascular profiles were identified (cluster 1: n = 13; cluster 2: n = 11; cluster 3: n = 21), with significant differences across clusters for all vascular measures (p < 0.01). Although age increased across clusters, vascular structure and function did not change uniformly. One profile exhibited elevated arterial wave reflection despite relatively preserved endothelial function and arterial structure, whereas another demonstrated impairment in all vascular variables. Vascular profile was not associated with predicted VO2peak (p = 0.31) or gait speed (p = 0.65). Three exploratory cluster-derived vascular profiles emerged among participants with chronic stroke, and age did not fully account for the observed vascular heterogeneity. Multi-domain cluster-derived vascular profiling revealed heterogeneous vascular profiles in individuals with chronic stroke, providing a basis for future studies to evaluate their relevance to cardiovascular risk stratification and long-term health management. NCT05936008: https://clinicaltrials.gov/study/NCT05936008.

Source: PLoS ONE

DOI: 10.1371/journal.pone.0362305

Authors: Bria L. Bartsch, Amanda N. Engler, Sandra A. Billinger

Institutions: The University of Kansas Health System, University of Kansas Medical Center, University of Kansas

Language: English

Topic: Cardiovascular Health and Disease Prevention

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,382