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采用无创性外周动脉张力测定评估血管内皮功能可预测晚期心血管不良事件。

Assessment of endothelial function by non-invasive peripheral arterial tonometry predicts late cardiovascular adverse events.

机构信息

Division of Cardiovascular Diseases, Center of Coronary Physiology and Imaging, Mayo College of Medicine, MB4 523, 200 First Street SW, Rochester, MN 55905, USA.

出版信息

Eur Heart J. 2010 May;31(9):1142-8. doi: 10.1093/eurheartj/ehq010. Epub 2010 Feb 24.

Abstract

AIMS

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.

METHODS AND RESULTS

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).

CONCLUSION

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.

摘要

目的

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。

方法和结果

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)。

结论

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。

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