A new peripheral endothelial function measurement improves prediction of symptomatic coronary artery disease
A new peripheral endothelial function measurement improves prediction of symptomatic coronary artery disease
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一种新的外周内皮功能测量方法可改善症状性冠状动脉疾病的预测
DOI：
10.1177/0300060520932818
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Ping Yang
中科院分区：
文献类型：
--
作者：
B. Du;D. Si;Dong Zhao;Yanan Zhao;K. Wagatsuma;Yuquan He;Ping Yang
目的探讨外周动脉容量(PAV)检测能否提高年龄调整的Framingham危险评分(AFRS)对有症状患者冠状动脉疾病(CAD)的预测价值。方法前瞻性入选317例冠状动脉造影术患者。在心导管插管前，进行PAV试验以测量反应性充血后搏动性血流量的变化。结果冠心病组PAV显著低于非冠心病组(1.21 ± 0.32vs.1.50 ± 0.45)。多因素Logistic回归分析显示，PAV和AFRS是冠心病的独立预测因素。受试者工作特征曲线的两两比较显示，当PAV被合并到AFRS(曲线下面积：从0.76到0.80)时，对CAD的预测能力增加。当PAV加入AFRS(0.65，95%可信区间：0.44-0.85)时，净重分类指数也有改善。结论数字血管内皮功能测定是冠心病的独立预测指标。PAV对识别冠心病高危患者具有潜在的实用价值。
Objective This study aimed to determine whether a peripheral artery volume (PAV) test can improve the predictive value of the age-adjusted Framingham risk score (AFRS) for coronary artery disease (CAD) in symptomatic patients. Methods A total of 317 consecutive patients who were referred for coronary angiography were prospectively enrolled. Before cardiac catheterization, a PAV test was performed to measure changes in pulsatile blood flow volume following reactive hyperemia. Results PAV was significantly lower in patients with CAD than in those without CAD (1.21 ± 0.32 vs. 1.50 ± 0.45). Multivariate logistic regression analysis showed that PAV and the AFRS were independent predictors of CAD. Pairwise comparison of receiver operating characteristic curves showed that the predictive power for CAD increased when PAV was incorporated into the AFRS (area under the curve: from 0.76 to 0.80). The net reclassification index was also improved when PAV was added to the AFRS (0.65, 95% confidence interval: 0.44–0.85). Conclusions Digital endothelial function measurement is an independent predictor of CAD. PAV is potentially useful for identifying patients at high risk for CAD.
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DOI：
10.1253/circj.cj-12-0248
发表时间：
2012
期刊：
Circulation journal : official journal of the Japanese Circulation Society
影响因子：
--
作者：
Reriani MK;Flammer AJ;Jama A;Lerman LO;Lerman A
通讯作者：
Lerman A
影响因子：
37.8
作者：
Wilson, PWF;D'Agostino, RB;Kannel, WB
通讯作者：
Kannel, WB
影响因子：
24
作者：
Bonetti, PO;Pumper, GM;Lerman, A
通讯作者：
Lerman, A
影响因子：
24
作者：
Goff DC Jr;Lloyd-Jones DM;Bennett G;Coady S;D'Agostino RB Sr;Gibbons R;Greenland P;Lackland DT;Levy D;O'Donnell CJ;Robinson JG;Schwartz JS;Shero ST;Smith SC Jr;Sorlie P;Stone NJ;Wilson PWF
通讯作者：
Wilson PWF
影响因子：
1.8
作者：
Matsuzawa Y;Lerman A
通讯作者：
Lerman A