Hypertension and Cardiometabolic Syndrome Unit, 1 Department of Cardiology, Medical School, National & Kapodistrian University of Athens, Hippokration Hospital, Athens, Greece.
Department of Cardiology, CHU Saint-Pierre, Université Libre de Bruxelles, Bruxelles, Belgium.
J Hypertens. 2019 Feb;37(2):339-346. doi: 10.1097/HJH.0000000000001904.
Aortic stiffness assessed by carotid-femoral pulse wave velocity (PWV) is an important predictor to gauge the overall risk of hypertensive patients; nonetheless, it is underutilized in everyday practice. We propose a simple scoring system based on clinical variables that can identify patients with a priority for measurement of PWV, that is, those with elevated PWV (≥10 m/s) and, consequently, at higher risk for events.
Patient data from three outpatient clinics (n = 3943) were used to form a derivation, internal and external validation cohort. For derivation, independent predictors of high PWV from a binary logistic regression model were split in subcategories and implemented in a simple clinical prediction scoring system with the acronym SAGE (office systolic blood pressure, age, glycemia and eGFR categories).
Its performance was validated at the internal and external validation cohorts with c-statistics being 0.83 (95% CI 0.81-0.86) and 0.77 (95% CI 0.73-0.80), respectively. A cut-off of eight points to identify patients with high PWV in the internal/external validation cohorts yielded a positive-predictive value, negative-predictive value, sensitivity and specificity of 52/36%, 88/81%, 56/70% and 88/65%, respectively.
The SAGE score that takes into account easily measured clinical variables (office SBP, age, fasting glucose and eGFR categories) can be used to accurately predict elevated levels of PWV and prioritize its measurement in specific hypertensive patients. Its use will result in greater acknowledgement of the role of aortic stiffness and aid physicians in implementing it in clinical practice.
通过颈-股脉搏波速度(PWV)评估的动脉僵硬度是衡量高血压患者整体风险的重要预测指标;然而,它在日常实践中并未得到充分利用。我们提出了一种基于临床变量的简单评分系统,可以识别出需要测量 PWV 的患者,即那些 PWV 升高(≥10 m/s)且因此事件风险更高的患者。
使用来自三个门诊诊所(n=3943)的患者数据形成推导、内部和外部验证队列。在推导中,从二元逻辑回归模型中提取出与高 PWV 相关的独立预测因子,并将其分为子类别,然后将其纳入一个简单的临床预测评分系统(SAGE,办公室收缩压、年龄、血糖和 eGFR 类别)。
该评分系统在内部和外部验证队列中的表现均得到验证,C 统计量分别为 0.83(95%CI 0.81-0.86)和 0.77(95%CI 0.73-0.80)。内部/外部验证队列中,将 8 分作为识别高 PWV 患者的截断值,其阳性预测值、阴性预测值、敏感性和特异性分别为 52/36%、88/81%、56/70%和 88/65%。
SAGE 评分考虑了易于测量的临床变量(办公室 SBP、年龄、空腹血糖和 eGFR 类别),可用于准确预测 PWV 升高水平,并优先在特定高血压患者中测量 PWV。其使用将有助于更好地认识到动脉僵硬度的作用,并帮助医生在临床实践中实施它。