Essen Stroke Risk Score Predicts Carotid Atherosclerosis in Chinese Community Populations

Background: Carotid atherosclerosis (CA) is closely related to stroke, and Framingham Risk Score (FRS) has been used for CA risk evaluation. However, FRS could only be used for subjects of up to 74 years old. The present study was to determine if Essen Stroke Risk Score (ESRS) could be used to estimate CA risk in community populations without age limits. Methods: In the present prospective multi-community screening study, we evaluated the prevalence of CA using high-resolution ultrasound in 521 males and 1039 females (35 to 91 years old). Both FRS and ESRS were calculated for the subjects. Multivariate logistic regression analysis was used to determine the predictive values of FRS and ESRS for CA in these subjects. Results: Ultrasound data showed that CA was present in 56.2% of the participants (total of 1560). Multivariate logistic regression analysis showed that ESRS was associated with CA with odds ratio (OR): 1.34 (95% confidence interval (CI), 1.12-1.60, p=0.001). Central obesity (OR: 1.40, CI: 1.07-1.83, p=0.015), female (OR: 0.55, CI: 0.39-0.77, p <0.001) and age (OR: 2.63, CI: 2.27-3.06, p <0.001) were also associated with CA. Based on the estimated area under curve (AUC), FRS (AUC 0.775) was better than ESRS (AUC 0.693) (z statistic 6.774, p <0.001) for CA prediction for individuals of =74 years old. However, receiver operating characteristic analysis showed ESRS was a good CA predictor for all subjects (AUC of 0.715). Conclusion: ESRS could be used as an alternative to FRS to predict CA in community population of all age.