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Using integrative bioinformatics approaches and machine-learning strategies to identify potential signatures for atrial fibrillation.

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Department of Cardiovascular Surgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.

Atrial fibrillation (AF) is the most common tachyarrhythmia and seriously affects human health. Key targets of AF bioinformatics analysis can help to better understand the pathogenesis of AF and develop therapeutic targets. The left atrial appendage tissue of 20 patients with AF and 10 patients with sinus rhythm were collected for sequencing, and the expression data of the atrial tissue were obtained.

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Results of ICE-Guided Isolation of the Superior Vena Cava With Pulsed Field Ablation.

JACC Clin Electrophysiol

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Texas Cardiac Arrhythmia Institute, St. David's Medical Center, Austin, Texas, USA; Interventional Electrophysiology, Scripps Clinic, San Diego, California, USA; Metro Health Medical Center, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA; Department of Biomedicine and Prevention, Division of Cardiology, University of Tor Vergata, Rome, Italy. Electronic address:

Background: Earlier studies have documented the risk for sinoatrial node injury and phrenic nerve paralysis as complications following radiofrequency catheter ablation for electrical isolation of the superior vena cava (SVCI).

Objectives: The aim of this study was to assess the safety and feasibility of SVCI in patients with atrial fibrillation undergoing pulsed field ablation (PFA) METHODS: Six hundred sixteen consecutive patients undergoing PFA for pulmonary vein isolation plus SVCI were included in this multicenter analysis. Superior vena cava (SVC) ablation was performed under the continuous guidance of intracardiac echocardiography.

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