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Measurement of stiffness index by digital volume pulse analysis technique: clinical utility in cardiovascular disease risk stratification.

机译:通过数字体积脉冲分析技术测量刚度指数:在心血管疾病风险分层中的临床应用。

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BACKGROUND: Indices of arterial stiffness are accepted as independent markers of cardiovascular disease (CVD), having both positive prognostic and diagnostic implications. The utility of stiffness index (SI) derived from digital volume pulse (DVP) analysis in CVD risk screening is not established. METHODS: Using a representative sample of individuals from local communities (West Midlands, UK), we determined the performance of SI in the discrimination of increasing CVD risk. Arterial stiffness was measured by DVP photoplethysmography (PCA 2; Micro Medical) using a direct, standardized approach. CVD risk assessment was performed in accordance with the Joint British Society guidelines (JBS2). RESULTS: Of our cohort of 247 individuals (51% male; mean age 55.2 (s.d. 10.3) years), 187 were apparently healthy and 60 had established CVD risk factors (diabetes mellitus: 33%, hypertension: 77.8%, hypercholesteremia: 61%). On univariate analysis, SI was strongly associated with CVD risk (the European Society of Cardiology (ESC) based HeartScore) (Pearson correlation coefficient (R): 0.56, P < or = 0.001) and increased in an ordinal fashion from "low risk" to "medium risk" to "high risk" to "very high risk" (pseudo R2 = 0.30; P < 0.001). In receiver operator characteristic curve analysis, SI was the best discriminator between low to medium risk and high-risk categories (area under curve (AUC): 0.76 (95% CI 0.64-0.88), P < 0.001) when compared to total cholesterol, plasma glucose, systolic blood pressure, and waist-to-hip ratio and had the utility to discriminate the individuals with known CVD risk factors such as diabetes and hypertension. CONCLUSION: Noninvasive measurements of arterial stiffness may aid the optimal stratification of CVD risk in an apparently healthy population.
机译:背景:动脉僵硬度的指标被认为是心血管疾病(CVD)的独立指标,具有积极的预后和诊断意义。未建立从数字体积脉冲(DVP)分析得出的刚度指数(SI)在CVD风险筛查中的效用。方法:使用来自当地社区(英国西米德兰兹郡)的代表性样本,我们确定了SI在鉴别CVD风险增加中的表现。使用直接的标准化方法通过DVP光体积描记法(PCA 2; Micro Medical)测量动脉僵硬度。 CVD风险评估是根据英国联合会指南(JBS2)进行的。结果:在我们的247名患者中(男性51%;平均年龄55.2(sd 10.3)岁),其中187名健康状况良好,其中60名已建立CVD危险因素(糖尿病:33%,高血压:77.8%,高胆固醇血症:61% )。在单变量分析中,SI与CVD风险密切相关(基于欧洲心脏病学会(ESC)的HeartScore)(皮尔逊相关系数(R):0.56,P <或= 0.001),并且以“低风险”的顺序增加。从“中等风险”到“高风险”到“非常高风险”(伪R2 = 0.30; P <0.001)。在接收者操作者特征曲线分析中,与总胆固醇相比,SI是区分中低风险和高风险类别(曲线下面积(AUC):0.76(95%CI 0.64-0.88),P <0.001)的最佳区分,血糖,收缩压和腰臀比,并具有区分已知CVD危险因素(例如糖尿病和高血压)的作用。结论:无创测量动脉僵硬度可能有助于在明显健康的人群中最佳分类CVD风险。

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