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

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.

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Publication Details

Journal
PLoS ONE
Published
2026-11-06
DOI
https://doi.org/10.1371/journal.pone.0362305
Primary Topic
Cardiovascular Health and Disease Prevention
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Sandra A. Billinger, Bria L. Bartsch, Amanda N. Engler
PLoS ONE
Cardiovascular Health and Disease Prevention
article

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

Sandra A. Billinger, Bria L. Bartsch, Amanda N. Engler
article en

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.

PLoS ONEVol. 21(11)
University of Kansas (US), The University of Kansas Health System (US), University of Kansas Medical Center (US)
Ann Arbor Area Community Foundation, National Institute on Aging, National Institute of Neurological Disorders and Stroke, National Center for Advancing Translational Sciences, NHLBI Division of Intramural Research
Good health and well-being
Openalex Percentile: Top 13%
Cardiovascular Health and Disease Prevention
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