Artificial Intelligence ECG to Detect Left Ventricular Dysfunction in COVID-19: A Case Series.
Artificial Intelligence ECG to Detect Left Ventricular Dysfunction in COVID-19: A Case Series.
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DOI：
10.1016/j.mayocp.2020.09.020
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发表时间：
2020-11
影响因子：
8.9
通讯作者：
Friedman PA
中科院分区：
文献类型：
--
作者：
Attia ZI;Kapa S;Noseworthy PA;Lopez-Jimenez F;Friedman PA
2019冠状病毒病（COVID-19）可导致心脏功能恶化，这与高死亡率相关。一个简单的床旁诊断测试，以筛选心室功能障碍将是临床上有用的指导管理。我们试图回顾人工智能心电图（AI ECG）在记录的COVID-19患者中筛查心室功能障碍的临床经验。我们检查了马约诊所系统中的所有患者，这些患者在COVID-19检测呈阳性后2周内接受了有临床指征的心电图和超声心动图检查，并允许将其数据用于研究。在符合入选标准的27名患者中，1名有正常心室功能病史的患者发生了COVID-19心肌炎，临床表现迅速下降。该患者的初始AI ECG显示心室功能正常。重复AI ECG显示射血分数（EF）小于或等于40%的概率为90.2%，超声心动图EF为35%。另一名患者的既存EF小于或等于40%，在COVID-19诊断前后通过算法准确检测到，另一名患者在COVID-19诊断时通过AI ECG和超声心动图发现EF较低。检测EF小于或等于40%的曲线下面积为0.95。该病例系列表明，先前显示可在大规模一般人群中检测心室功能障碍的AI ECG可能可用作检测COVID-19患者心功能障碍的筛查工具。
Coronavirus disease 2019 (COVID-19) can result in deterioration of cardiac function, which is associated with high mortality. A simple point-of-care diagnostic test to screen for ventricular dysfunction would be clinically useful to guide management. We sought to review the clinical experience with an artificial intelligence electrocardiogram (AI ECG) to screen for ventricular dysfunction in patients with documented COVID-19. We examined all patients in the Mayo Clinic system who underwent clinically indicated electrocardiography and echocardiography within 2 weeks following a positive COVID-19 test and had permitted use of their data for research were included. Of the 27 patients who met the inclusion criteria, one had a history of normal ventricular function who developed COVID-19 myocarditis with rapid clinical decline. The initial AI ECG in this patient indicated normal ventricular function. Repeat AI ECG showed a probability of ejection fraction (EF) less than or equal to 40% of 90.2%, corroborated with an echocardiographic EF of 35%. One other patient had a pre-existing EF less than or equal to 40%, accurately detected by the algorithm before and after COVID-19 diagnosis, and another was found to have a low EF by AI ECG and echocardiography with the COVID-19 diagnosis. The area under the curve for detection of EF less than or equal to 40% was 0.95. This case series suggests that the AI ECG, previously shown to detect ventricular dysfunction in a large general population, may be useful as a screening tool for the detection of cardiac dysfunction in patients with COVID-19.
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影响因子：
168.9
作者：
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