Background: Stroke is a leading cause of death and disability globally. A large proportion of ischemic strokes are caused by carotid atherosclerotic plaques. However, the relationship between vascular health status (arterial stiffness and endothelial dysfunction) and carotid plaque remains unclear.
Our strategy: Here, we recruited 991 subjects with carotid plaques and 1170 subjects without carotid plaques to measure arterial stiffness and endothelial dysfunction, using a logistic regression model and multiple linear regression models to predict the relationship between them and carotid plaques.
Main results: The data revealed that patients with carotid plaques presented a significantly higher mean of cf-PWV and lower mean RHI values. Age, male gender, diabetes, hypertension, and smoking contributed to plaque formation. Carotid plaques and their lengths were negatively associated with RHI values and positively associated with cf-PWV values; diabetes combined with hypertension showed a cumulative effect on arteriosclerosis.
Conclusion: RHI combined with cf-PWV could improve the efficacy of predicting the presence of carotid plaques and their lengths.
Keywords: Carotid plaque; Carotid plaque length; Endothelial dysfunction; Pulse wave velocity.
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