Radiofrequency ablation is increasingly used as an option to optimally manage patients with symptomatic atrial fibrillation. Presently, ablationists strive to improve success rates, particularly with persistent atrial fibrillation, while simultaneously attempting to reduce complications. A well-recognized complication with atrial fibrillation ablation is injury to the phrenic nerve giving rise to diaphragmatic paresis and patient discomfort.Phrenic nerve damage may occur when performing common components of atrial fibrillation ablation including pulmonary and superior vena caval isolation. The challenge for ablationists is to successfully target the arrhythmogenic substrate while avoiding this complication. In order to do this, a thorough knowledge of phrenic nerve anatomy, points in the ablation procedure where nerve damage is more likely, and an understanding of the presently utilized techniques to avoid this complication is required. In addition, when this complication does arise, prompt recognition of its occurrence, knowledge of the natural history, and available methods for management are needed.In this review, we discuss the underlying anatomic principles, techniques of avoiding phrenic nerve damage, and presently available methods of diagnosing and managing this complication.
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http://dx.doi.org/10.4022/jafib.176 | DOI Listing |
BMC Cardiovasc Disord
January 2025
Department of Cardiology, Northern Jiangsu People's Hospital, Nantong West Road No. 98, Yangzhou, Jiangsu, 225001, China.
Objectives: The aim of this study was to explore the correlation between blood test indicators and Atrial Fibrillation (AF) in Individuals Aged 65 and Older in Yangzhou, Jiangsu.
Methods: From January 1, 2019, to August 31, 2023, an epidemiological cross-sectional survey was conducted among the elderly population undergoing health check-ups at Northern Jiangsu People's Hospital in Jiangsu Province. Patients diagnosed with AF after a 12-lead electrocardiogram were included in the case group, and non-AF individuals matched by age and gender in a 1:4 frequency ratio were included in the control group.
Eur J Clin Invest
January 2025
Department of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA.
From 1999 to 2020, age-adjusted mortality rates (AAMR) for atrial fibrillation-related deaths among U.S. adults (age ≥25) with comorbid diabetes mellitus increased significantly with an annual percent change of 6.
View Article and Find Full Text PDFJ Atheroscler Thromb
January 2025
Department of Cardiology, the First Affiliated Hospital of Dalian Medical University.
Aims: Evidence supporting the prescription of anticoagulant therapy for patients with atrial fibrillation (AF) with advanced chronic kidney disease (CKD) has been limited, and its clinical application in this context remains controversial.
Methods: We identified AF patients with advanced CKD (G4-G5) and a history of stroke who were admitted to the First Affiliated Hospital of Dalian Medical University between January 1, 2011, and June 30, 2023. Patients were classified into warfarin, non-vitamin K antagonist oral anticoagulant (NOAC), antiplatelet therapy, and control (no antithrombotic therapy) groups.
Circ J
January 2025
Department of Cardiovascular Medicine, Kyoto University Graduate School of Medicine.
Background: Fatal arrhythmic events (FAEs), such as sudden cardiac death (SCD) and fatal ventricular arrhythmias, are a devastating complication in patients with coronary artery disease (CAD). Therefore, in this study we aimed to assess the incidence of FAEs in more recent Japanese patients with CAD and to examine whether risk stratification of FAEs can still be feasible using the left ventricular ejection fraction (LVEF).
Methods And Results: In the CREDO Kyoto PCI/CABG registry cohorts-2 and -3, there were 25,843 patients with LVEF data who received a first coronary revascularization (LVEF ≤35% group: N=1,671, 35%
J Cardiovasc Magn Reson
January 2025
Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany.
Purpose: To investigate image quality and agreement of derived cardiac function parameters in a novel joint image reconstruction and segmentation approach based on disentangled representation learning, enabling real-time cardiac cine imaging during free-breathing.
Methods: A multi-tasking neural network architecture, incorporating disentangled representation learning, was trained using simulated examinations based on data from a public repository along with MR scans specifically acquired for model development. An exploratory feasibility study evaluated the method on undersampled real-time acquisitions using an in-house developed spiral bSSFP pulse sequence in eight healthy participants and five patients with intermittent atrial fibrillation.
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