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Essen Stroke Risk Score Predicts Carotid Atherosclerosis in Chinese Community Populations

机译:Essen Stroke风险评分预测中国社区群体的颈动脉粥样硬化

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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.
机译:背景:颈动脉粥样硬化(CA)与中风密切相关,而Framingham风险评分(FRS)已被用于CA风险评估。但是,FRS只能用于高达74岁的主题。本研究是确定Essen中风风险评分(ESRS)是否可用于估算社区群体中的CA风险,而无需年龄限制。方法:在目前的前瞻性多社区筛查研究中,我们在521名男性和1039名女性中使用高分辨率超声评估了CA的患病率(35至91岁)。为受试者计算FRS和ESR。多变量逻辑回归分析用于确定这些受试者中CA的FRS和ESR的预测值。结果:超声数据显示,参与者的56.2%(共1560%)存在CA。多变量逻辑回归分析表明,ESRS与含量比(或):1.34(95%置信区间(CI),1.12- 1.60,P = 0.001)相关的CA。中央肥胖(或:1.40,CI:1.07- 1.83,P = 0.015),女性(或:0.55,CI:0.39- 0.77,P <0.001)和年龄(或:2.63,CI:2.27- 3.06,P <0.001 )也与CA相关联。基于曲线下的估计区域(AUC),FRS(AUC 0.775)优于ESRS(AUC 0.693)(Z统计6.774,P <0.001),用于≤74岁的个体的CA预测。然而,接收器操作特征分析显示ESRS是所有受试者的好CA预测因子(AUC为0.715)。结论:ESRS可以用作FRS的替代方案,以预测全年社区人群中的CA。

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