Division of Cardiovascular Diseases, Center of Coronary Physiology and Imaging, Mayo College of Medicine, MB4 523, 200 First Street SW, Rochester, MN 55905, USA.
Eur Heart J. 2010 May;31(9):1142-8. doi: 10.1093/eurheartj/ehq010. Epub 2010 Feb 24.
There is growing need for the identification of novel non-invasive methodologies for the identification of individuals at risk for adverse cardiovascular (CV) events. We examined whether endothelial dysfunction, as detected by non-invasive peripheral arterial tonometry (EndoPAT), can predict late CV events.
Reactive hyperaemia (RH) was induced following upper arm occlusion of systolic blood pressure in 270 outpatients (54 +/- 12 years, 48% female). The natural logarithmic scaled RH index (L_RHI) was calculated from the ratio between the digital pulse volume during RH and at baseline. The patients were followed for CV adverse events (AE: cardiac death, myocardial infarction, revascularization or cardiac hospitalization) during a 7-year follow-up (inter-quartile range = 4.4-8). Cox models were used to estimate the association of EndoPAT results with AE adjusted for age. During the follow-up, AE occurred in 86 patients (31%). Seven-year AE rate was 48% in patients with L_RHI < 0.4 vs. 28% in those with L_RHI >or= 0.4 (P = 0.03). Additional univariate predictors of AE were advancing age (P = 0.02) and prior coronary bypass surgery (P = 0.01). The traditional Framingham risk score was not higher in patients with AE. Multivariate analysis identified L_RHI < 0.4 as an independent predictor of AE (P = 0.03).
A low RH signal detected by EndoPAT, consistent with endothelial dysfunction, was associated with higher AE rate during follow-up. L_RHI was an independent predictor of AE. Non-invasive assessment of peripheral vascular function may be useful for the identification of patients at risk for cardiac AEs.
对于识别发生不良心血管 (CV) 事件风险的个体,人们越来越需要寻找新的非侵入性方法。我们研究了非侵入性外周动脉张力测定法(EndoPAT)检测到的内皮功能障碍是否可以预测晚期 CV 事件。
在 270 名门诊患者(54±12 岁,48%为女性)中,通过收缩压上臂闭塞诱导反应性充血 (RH)。从 RH 期间和基线时的数字脉搏体积比计算自然对数比例 RH 指数 (L_RHI)。在 7 年的随访期间(四分位距=4.4-8),患者因 CV 不良事件 (AE:心脏死亡、心肌梗死、血运重建或心脏住院) 而被随访。Cox 模型用于调整年龄后,估计 EndoPAT 结果与 AE 的相关性。在随访期间,86 例患者发生 AE(31%)。L_RHI<0.4 的患者 7 年 AE 发生率为 48%,而 L_RHI≥0.4 的患者为 28%(P=0.03)。AE 的其他单变量预测因素为年龄增长(P=0.02)和先前的冠状动脉旁路移植术(P=0.01)。AE 患者的传统Framingham 风险评分并不更高。多变量分析确定 L_RHI<0.4 是 AE 的独立预测因子(P=0.03)。
EndoPAT 检测到的低 RH 信号,提示内皮功能障碍,与随访期间更高的 AE 发生率相关。L_RHI 是 AE 的独立预测因子。外周血管功能的非侵入性评估可能有助于识别发生心脏 AE 的风险患者。