Abstract:

Objective To explore the relationship between hemorheology and Carotid Atherosclerosis. Methods The clinical data of 153 patients who underwent both hemorheological testing and carotid artery ultrasound were divided into a CAS group (n = 96) and a non?CAS group (n = 57) based on ultrasound findings. Clinical data and laboratory indicators were compared between two groups. Multivariate logistic regression analysis was used to explore the influencing factors of CAS. The ROC curves graph were drawn to observe the role of hemorheological indicators in predicting CAS and select the optimal cutoff value based on the maximum Youden index. Results The CAS group demonstrated higher levels in age， BMI， RBC aggregation index，low & high shear reduced viscosity of whole blood，plasma viscosity and fibrinogen compared to the non?CAS group （P < 0.05）. The multivariate logistic regression analysis showed that plasma viscosity （OR = 38.270， 95% CI：1.206 ~ 1214.508），age （OR = 1.119， 95% CI： 1.065 ~ 1.176） were risk factors for the occurrence of CAS （P < 0.05）. The ROC curves showed that the area under the curve （AUC） of plasma viscosity and age were 0.623、0.728. Conclusion CAS patients have high levels of plasma viscosity and advanged age compared to the patient without CAS. Elevated plasma viscosity and age is a risk factor for CAS， with plasma viscosity ≥ 1.46 mPa·s， over the age of 56.5 as a significant value for predicting CAS.

Key words: carotid atherosclerosis, hemorheology, plasma viscosity, logistic regression analysis