Pelter Michele M, Xu Yuan, Fidler Richard, Xiao Ran, Mortara David W, Xiao Hu
Department of Physiological Nursing, University of California San Francisco, San Francisco, CA, United States.
Department of Physiological Nursing, University of California San Francisco, San Francisco, CA, United States.
J Electrocardiol. 2018 Mar-Apr;51(2):288-295. doi: 10.1016/j.jelectrocard.2017.10.005. Epub 2017 Oct 24.
Patients hospitalized for suspected acute coronary syndrome (ACS) are at risk for transient myocardial ischemia. During the "rule-out" phase, continuous ECG ST-segment monitoring can identify transient myocardial ischemia, even when asymptomatic. However, current ST-segment monitoring software is vastly underutilized due to false positive alarms, with resultant alarm fatigue. Current ST algorithms may contribute to alarm fatigue because; (1) they are not designed with a delay (minutes), rather alarm to brief spikes (i.e., turning, heart rate changes), and (2) alarm to changes in a single ECG lead, rather than contiguous leads.
This study was designed to determine sensitivity, and specificity, of ST algorithms when accounting for; ST magnitude (100μV vs 200μV), duration, and changes in contiguous ECG leads (i.e., aVL, I, - aVR, II, aVF, III; V1, V2, V3, V4, V5, V6, V6, I).
This was a secondary analysis from the COMPARE Study, which assessed occurrence rates for transient myocardial ischemia in hospitalized patients with suspected ACS using 12-lead Holter. Transient myocardial ischemia was identified from Holter using >100μV ST-segment ↑ or ↓, in >1 ECG lead, >1min. Algorithms tested against Holter transient myocardial ischemia were done using the University of California San Francisco (UCSF) ECG algorithm and included: (1)100μV vs 200μV any lead during a 5-min ST average; (2)100μV vs 200μV any lead >5min, (3) 100μV vs 200μV any lead during a 5-min ST average in contiguous leads, and (4) 100μV vs 200μV>5min in contiguous leads (Table below).
In 361 patients; mean age 63+12years, 63% male, 56% prior CAD, 43 (11%) had transient myocardial ischemia. Of the 43 patients with transient myocardial ischemia, 17 (40%) had ST-segment elevation events, and 26 (60%) ST-segment depression events. A higher proportion of patients with ST segment depression has missed ischemic events. Table shows sensitivity and specificity for the four algorithms tested.
Sensitivity was highly variable, due to the ST threshold selected, with the 100μV measurement point being superior to the 200μV amplitude threshold. Of all the algorithms tested, there was moderate sensitivity and specificity (70% and 68%) using the 100μV ST-segment threshold, integrated ST-segment changes in contiguous leads during a 5-min average.
因疑似急性冠状动脉综合征(ACS)住院的患者存在短暂性心肌缺血风险。在“排除”阶段,连续心电图ST段监测可识别短暂性心肌缺血,即使无症状时也可发现。然而,由于误报导致当前ST段监测软件的利用率极低,进而引发警报疲劳。当前的ST算法可能导致警报疲劳,原因如下:(1)它们并非设计为有延迟(数分钟),而是对短暂峰值(如翻转、心率变化)发出警报;(2)对单个心电图导联的变化发出警报,而非相邻导联。
本研究旨在确定在考虑ST幅度(100μV对200μV)、持续时间以及相邻心电图导联变化(即aVL、I、 - aVR、II、aVF、III;V1、V2、V3、V4、V5、V6、V6、I)时ST算法的敏感性和特异性。
这是对COMPARE研究的二次分析,该研究使用12导联动态心电图评估疑似ACS住院患者短暂性心肌缺血的发生率。通过动态心电图,在>1个心电图导联中,ST段抬高或压低>100μV且持续>1分钟来识别短暂性心肌缺血。针对动态心电图短暂性心肌缺血测试的算法采用加利福尼亚大学旧金山分校(UCSF)心电图算法,包括:(1)5分钟ST平均值期间,任何导联100μV对200μV;(2)任何导联>5分钟时100μV对200μV;(3)5分钟ST平均值期间,相邻导联中任何导联100μV对200μV;(4)相邻导联中>5分钟时100μV对200μV(如下表)。
361例患者,平均年龄63±12岁,63%为男性,56%有既往冠心病史,43例(11%)有短暂性心肌缺血。在43例短暂性心肌缺血患者中,17例(40%)有ST段抬高事件,26例(60%)有ST段压低事件。ST段压低的患者中有更高比例的缺血事件被漏诊。表格显示了所测试的四种算法的敏感性和特异性。
由于所选的ST阈值不同,敏感性差异很大,100μV测量点优于200μV幅度阈值。在所有测试算法中,使用100μV ST段阈值、5分钟平均值期间相邻导联ST段综合变化时,有中等的敏感性和特异性(70%和68%)。