A case is presented of a man who had 5 hours of atrial fibrillation followed by spontaneous conversion and maintained sinus rhythm that persisted as shown by surface electrocardiography. Transesophageal echocardiography performed 24 hours after electrocardiographic conversion documented an atrial fibrillation pattern within the left atrial appendage, with a normal sinus Doppler pattern in the body of the left atrium. This apparent regional discrepancy in atrial function may partially explain the increased risk for "late" thromboembolism among patients with atrial fibrillation who appear to be successfully converted with sustained sinus rhythm.
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Circ Genom Precis Med
January 2025
CARIM School for Cardiovascular Diseases (A.I., S.Z., J.W., B.B., H.J.G.M.C., B.H., M.K., S.V., U.S., M.S.), Maastricht University, the Netherlands.
Background: Transcriptional dysregulation, possibly affected by genetic variation, contributes to disease development. Due to dissimilarities in development, function, and remodeling during disease progression, transcriptional differences between the left atrial (LA) and right atrial (RA) may provide insight into diseases such as atrial fibrillation.
Methods: Lateral differences in atrial transcription were evaluated in CATCH ME (Characterizing Atrial fibrillation by Translating its Causes into Health Modifiers in the Elderly) using a 2-stage discovery and replication design.
Rev Med Suisse
January 2025
Service de cardiologie, Hôpitaux universitaires de Genève, 1211 Genève 14.
Atrial fibrillation (AF) is common and its treatment is complex. The new European guidelines emphasize a patient-centered approach, considering the risk factors that contribute to AF and their management in primary and secondary prevention. Recent advances in electrophysiology include the development of new ablation techniques and the implantation of a leadless bicameral pacemaker.
View Article and Find Full Text PDFEur Heart J Digit Health
January 2025
Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, No. 88 West Taishan Road, Zhuzhou 412007, Hunan, China.
Aims: The electrocardiogram (ECG) is the primary method for diagnosing atrial fibrillation (AF), but interpreting ECGs can be time-consuming and labour-intensive, which deserves more exploration.
Methods And Results: We collected ECG data from 6590 patients as YY2023, classified as Normal, AF, and Other. Convolutional Neural Network (CNN), bidirectional Long Short-Term Memory (BiLSTM), and Attention construct the AF recognition model CNN BiLSTM Attention-Atrial Fibrillation (CLA-AF).
Eur Heart J Digit Health
January 2025
Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, 401 East River Parkway, Minneapolis, MN, USA.
Aims: Many studies have utilized data sources such as clinical variables, polygenic risk scores, electrocardiogram (ECG), and plasma proteins to predict the risk of atrial fibrillation (AF). However, few studies have integrated all four sources from a single study to comprehensively assess AF prediction.
Methods And Results: We included 8374 (Visit 3, 1993-95) and 3730 (Visit 5, 2011-13) participants from the Atherosclerosis Risk in Communities Study to predict incident AF and prevalent (but covert) AF.
Eur Heart J Digit Health
January 2025
Department of Cardiovascular Medicine, Kyorin University, 6-20-2, Shinkawa, Mitaka-city, Tokyo 181-8611, Japan.
Aims: Atrial fibrillation (AF) leads to impaired exercise capacity, and catheter ablation (CA) for AF improves exercise capacity. However, the precise changes in daily activities after CA for AF remain unclear. The authors aimed to evaluate the changes in daily activities following CA for AF using a wristwatch-type pulse wave monitor (PWM), which tracks steps and exercise time, estimates burnt daily calories, and records sleep duration, in addition to establishing the rhythm diagnosis of AF or non-AF.
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