Institute of Biomedical Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Department of Cardiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
J Am Heart Assoc. 2018 Jul 7;7(14):e008802. doi: 10.1161/JAHA.118.008802.
Arterial stiffening and atherosclerosis tend to coexist. Strain imaging, using a 2-dimensional speckle tracking (2D-ST) method, has been used for arterial stiffness assessment and early identification of atherosclerosis. We investigated whether the ascending aortic strain assessed by 2D-ST echocardiography at rest can predict the presence of coronary artery disease (CAD).
Two hundred seventy-one consecutive patients with suspected stable angina pectoris sequentially underwent exercise treadmill testing, 2-dimensional echocardiography, M-mode echocardiography, 2D-ST echocardiography, and coronary angiography. Circumferential ascending aortic strain (CAAS) and radial ascending aortic strain were assessed by 2D-ST echocardiography. Ninety-two patients with coronary lumen area stenosis ≥70% were categorized as having significant CAD. Global CAAS was significantly lower in patients with significant CAD (7.41±2.30% versus 11.54±4.03%; <0.001) and remained an independent predictor of significant CAD (odds ratio, 0.64 [0.54-0.75]; <0.001) after multivariate regression. Based on the receiver operating characteristic curve for diagnosing significant CAD, the optimal cut-off value of global CAAS was ≤9.22% (sensitivity, 86%; specificity, 70%; area under curve=0.82; <0.001). Global CAAS decreased with increasing severity of CAD and was significantly associated with 3-vessel disease (odds ratio, 0.58 [0.42-0.79]; <0.001). Diagnostics for significant CAD were remarkably better for global CAAS combined with exercise treadmill testing than for exercise treadmill testing alone (area under curve=0.88 versus 0.78; <0.001).
Global CAAS assessed by 2D-ST echocardiography at rest was able to predict the presence of significant CAD and identify multivessel disease. In addition, global CAAS combined with exercise treadmill testing remarkably improved the diagnostics for significant CAD.
动脉僵硬和动脉粥样硬化往往并存。应变成像,使用二维斑点追踪(2D-ST)方法,已用于动脉僵硬评估和动脉粥样硬化的早期识别。我们研究了静息状态下 2D-ST 超声心动图评估的升主动脉应变是否可以预测冠状动脉疾病(CAD)的存在。
271 例连续疑似稳定型心绞痛患者依次接受运动平板试验、二维超声心动图、M 型超声心动图、2D-ST 超声心动图和冠状动脉造影检查。通过 2D-ST 超声心动图评估周向升主动脉应变(CAAS)和升主动脉径向应变。92 例冠状动脉管腔面积狭窄≥70%的患者被归类为有显著 CAD。显著 CAD 患者的全局 CAAS 明显较低(7.41±2.30%比 11.54±4.03%;<0.001),并且在多变量回归后仍然是显著 CAD 的独立预测因子(优势比,0.64[0.54-0.75];<0.001)。基于诊断显著 CAD 的受试者工作特征曲线,全局 CAAS 的最佳截断值为≤9.22%(灵敏度,86%;特异性,70%;曲线下面积=0.82;<0.001)。随着 CAD 严重程度的增加,全局 CAAS 降低,与三血管疾病显著相关(优势比,0.58[0.42-0.79];<0.001)。与单独进行运动平板试验相比,全局 CAAS 结合运动平板试验对显著 CAD 的诊断效果明显更好(曲线下面积=0.88 比 0.78;<0.001)。
静息状态下通过 2D-ST 超声心动图评估的全局 CAAS 能够预测显著 CAD 的存在,并识别多血管疾病。此外,全局 CAAS 结合运动平板试验可显著提高显著 CAD 的诊断效果。