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Multidisciplinary management strategies for atrial fibrillation

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单位: [1]Division of Cardiology, Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiological Disorders, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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关键词: Atrial fibrillation Catheter ablation Risk factor Machine learning Prediction model

摘要:
There has been a significant increase in the prevalence of atrial fibrillation (AF) over the past 30 years.3 Pulmonary vein isolation (PVI) is an effective treatment for atrial fibrillation (AF), but research investigations have shown that AF recurrence still occurs in a significant number of patients after ablation. Heart rhythm outcomes following catheter ablation are correlated with numerous clinical factors, and researchers developed predictive models by integrating risk factors to predict the risk of recurrence of atrial fibrillation. The purpose of this article is to outline the risk scores for predicting cardiac rhythm outcomes after PVI and to discuss the modifiable factors that increase the risk of recurrence of AF, with the hope of further improving catheter ablation efficacy through preoperative identification of high-risk populations and postoperative management of modifiable risk factors.9.Copyright © 2024. Published by Elsevier Inc.

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出版当年[2023]版
大类 | 3 区 医学
小类 | 3 区 心脏和心血管系统
最新[2025]版
大类 | 3 区 医学
小类 | 3 区 心脏和心血管系统
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出版当年[2022]版:
Q2 CARDIAC & CARDIOVASCULAR SYSTEMS
最新[2023]版:
Q2 CARDIAC & CARDIOVASCULAR SYSTEMS

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第一作者单位: [1]Division of Cardiology, Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiological Disorders, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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