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Ce-543-04 inter-atrial block identifies patients with low cha2ds2-vasc score but high stroke risk
Beyond current methods of risk stratification, clinical studies employing machine learning methodology have demonstrated that the 12-lead ECG harbors additional prognostic information for various cardiovascular outcomes. Interatrial block (IAB) manifests as P wave duration>120 msec and is associated with thromboembolism, atrial arrhythmias, and mortality.
Source: Heart Rhythm - April 29, 2022 Category: Cardiology Authors: Joshua Lampert, Shreyas Havaldar, David Power, Marc A. Miller, Abhishek Maan, Kartikeya Menon, Emmanuel Ekanem, Jonathan Gandhi, Daniel N. Pugliese, Daniel Ross Musikantow, Mohit K. Turagam, Valentin Fuster, Srinivas R. Dukkipati, Benjamin Glicksberg, Viv Source Type: research

Po-661-03 use of a deep learning algorithm to predict paroxysmal atrial fibrillation based on printed electrocardiographic records acquired during sinus rhythm
Atrial fibrillation (AF) is a common type of sustained arrhythmia worldwide. Asymptomatic AF, which occurs frequently, is associated with an increased incidence of ischemic stroke, heart failure, and mortality. A large number of patients with paroxysmal atrial fibrillation (PAF) remain undiagnosed due to the absence of electrocardiographic evidence of AF (AF-ECGs). If PAF could be predicted, targeted screening could improve early detection and treatment of this condition.
Source: Heart Rhythm - April 29, 2022 Category: Cardiology Authors: Yang Zhou, Yu Chen, Deyun Zhang, Shijia Geng, Guodong Wei, Ying Tian, Shenda Hong, XINGPENG LIU Source Type: research