Scientific Computing and Imaging Institute, University of Utah, SLC, UT, USA; Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, SLC, UT, USA; Department of Biomedical Engineering, University of Utah, SLC, UT, USA; School of Medicine, University of Utah, SLC, UT, USA.
Scientific Computing and Imaging Institute, University of Utah, SLC, UT, USA; Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, SLC, UT, USA; Department of Biomedical Engineering, University of Utah, SLC, UT, USA.
J Electrocardiol. 2021 Nov-Dec;69S:38-44. doi: 10.1016/j.jelectrocard.2021.07.007. Epub 2021 Jul 21.
Acute myocardial ischemia has several characteristic ECG findings, including clinically detectable ST-segment deviations. However, the sensitivity and specificity of diagnosis based on ST-segment changes are low. Furthermore, ST-segment deviations have been shown to be transient and spontaneously recover without any indication the ischemic event has subsided.
Assess the transient recovery of ST-segment deviations on remote recording electrodes during a partial occlusion cardiac stress test and compare them to intramyocardial ST-segment deviations.
We used a previously validated porcine experimental model of acute myocardial ischemia with controllable ischemic load and simultaneous electrical measurements within the heart wall, on the epicardial surface, and on the torso surface. Simulated cardiac stress tests were induced by occluding a coronary artery while simultaneously pacing rapidly or infusing dobutamine to stimulate cardiac function. Postexperimental imaging created anatomical models for data visualization and quantification. Markers of ischemia were identified as deviations in the potentials measured at 40% of the ST-segment. Intramural cardiac conduction speed was also determined using the inverse gradient method. We assessed changes in intramyocardial ischemic volume proportion, conduction speed, clinical presence of ischemia on remote recording arrays, and regional changes to intramyocardial ischemia. We defined the peak deviation response time as the time interval after onset of ischemia at which maximum ST-segment deviation was achieved, and ST-recovery time was the interval when ST deviation returned to below thresholded of ST elevation.
In both epicardial and torso recordings, the peak ST-segment deviation response time was 4.9±1.1 min and the ST-recovery time was approximately 7.9±2.5 min, both well before the termination of the ischemic stress. At peak response time, conduction speed was reduced by 50% and returned to near baseline at ST-recovery. The overall ischemic volume proportion initially increased, on average, to 37% at peak response time; however, it recovered to only 30% at the ST-recovery time. By contrast, the subepicardial region of the myocardial wall showed 40% ischemic volume at peak response time and recovered much more strongly to 25% as epicardial ST-segment deviations returned to baseline.
Our data show that remote ischemic signal recovery correlates with a recovery of the subepicardial myocardium, whereas subendocardial ischemic development persists.
急性心肌缺血具有几个特征性的心电图表现,包括临床上可检测到的 ST 段偏移。然而,基于 ST 段变化的诊断敏感性和特异性较低。此外,已经表明 ST 段偏移是短暂的,并自发恢复,没有任何迹象表明缺血事件已经消退。
评估部分闭塞心脏应激试验中远程记录电极上 ST 段偏移的短暂恢复,并将其与心内膜下 ST 段偏移进行比较。
我们使用了以前经过验证的急性心肌缺血猪实验模型,该模型具有可控的缺血负荷和同时在心脏壁内、心外膜表面和躯干表面进行电测量。通过阻塞冠状动脉同时快速起搏或输注多巴酚丁胺来刺激心脏功能来诱导模拟的心脏应激试验。实验后的成像为数据可视化和量化创建了解剖模型。缺血标志物被定义为在 ST 段的 40%处测量到的电位的偏差。也使用反向梯度法确定心室内传导速度。我们评估了心内膜下缺血体积比例、传导速度、远程记录数组上的临床缺血存在以及心内膜下缺血的区域变化的变化。我们将峰值 ST 段偏移响应时间定义为从缺血开始到达到最大 ST 段偏移的时间间隔,ST 恢复时间是 ST 偏移返回低于 ST 抬高阈值的间隔。
在心外膜和躯干记录中,峰值 ST 段偏移响应时间为 4.9±1.1 分钟,ST 恢复时间约为 7.9±2.5 分钟,均远早于缺血应激的终止。在峰值响应时间,传导速度降低了 50%,并在 ST 恢复时恢复到接近基线。整体缺血体积比例最初增加,在峰值响应时间平均达到 37%;然而,在 ST 恢复时间仅恢复到 30%。相比之下,心肌壁的心外膜下区域在峰值响应时间显示 40%的缺血体积,并且当心外膜 ST 段偏移恢复到基线时,强烈恢复到 25%。
我们的数据表明,远程缺血信号恢复与心外膜下心肌的恢复相关,而心内膜下缺血的发展仍然存在。