Clinical Advances in Atrial Fibrillation
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Cardiology".
Deadline for manuscript submissions: 20 August 2024 | Viewed by 138
Special Issue Editors
2. Institute of Cardiovascular Science, University College London, London, UK
Interests: cardiac electrophysiology and devices; heart failure
Special Issues, Collections and Topics in MDPI journals
Interests: heart failure; cardiac electrophysiology; endothelial function; hypertension; vascular biology; cardiac MRI; cardiovascular imaging; sports cardiology
2. Cardiology Department, Alexandra Hospital, Athens, Greece
Interests: cardiovascular medicine; heart failure; heart transplant
Special Issues, Collections and Topics in MDPI journals
Interests: cardiovascular prevention; heart failure; sports cardiology; digital cardiology; mHealth; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Atrial fibrillation (AF) is the most common arrhythmia, affecting millions of patients worldwide. Insights from animal models and clinical studies have significantly improved the understanding of the mechanisms and pathophysiology of AF. Because of its complex presentation, it is likely that mechanism-orientated personalized approaches will be needed in the future to overcome challenges in AF diagnosis and management. In this Special Issue we will discuss the latest advances in the pathophysiology, epidemiology, diagnosis, and management of the condition. We will discuss the emerging role of targeting modifiable risk factors in the management of AF, as well as the potential role of genetics in the risk stratification and treatment of patients. We also outline the latest advances in ablation techniques, including the refinement of electroanatomical mapping systems, the targeting of non-pulmonary triggers, and the use of alternative energy sources, including pulsed field ablation techniques. For patients at a high risk of stroke, we will cover the growing evidence supporting the use of left atrial appendage occlusion alongside anticoagulation. Technological advances, such as the use of machine learning, also provide exciting, novel approaches to population screening, as well as the risk stratification and surveillance of AF.
Dr. Nikolaos Papageorgiou
Dr. Emmanuel S. Androulakis
Dr. Alexandros Briasoulis
Dr. Constantinos Bakogiannis
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- atrial fibrillation
- pathophysiology
- epidemiology
- anti-arrhythmia agents
- catheter ablation
- anticoagulants
- heart rate control
- atrial appendage
- machine learning
