Purpose Of Review: Despite technological advancements in catheter ablation, patients with atrial fibrillation often require multiple ablations, with diminishing returns depending on duration and persistence. Although early ablation is vital, modification of atrial fibrillation disease can be achieved with modification of existing risk factors. Obesity is an important modifiable risk factor, but there does not appear to be a consensus on the best method or goal for weight reduction.
Recent Findings: The relationship between atrial fibrillation and obesity has been acknowledged. This review examines the clinical evidence demonstrating the benefit of weight reduction in the management of atrial fibrillation. In particular, this review compares the different approaches of recent studies.
Summary: On the basis of the literature, the authors recommend a structured weight loss programme with dietary and behavioural modifications individualized to each patient and including the implementation of physical activity. Consideration of bariatric surgery is appropriate in certain patients with obesity.
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http://dx.doi.org/10.1097/HCO.0000000000001004 | 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.
J 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%
Indian Pacing Electrophysiol J
January 2025
Electrophysiology Unit, Cardiology Operating Unit, Fondazione Poliambulanza Hospital, Brescia, Italy.
Atrial fibrillation (AF) is the most common cardiac arrhythmia and pulmonary vein isolation (PVI) by percutaneous transcatheter ablation is its pivotal treatment. Nowadays, several techniques using different energy sources are used, such as radiofrequency (RF), cryoablation and laser ablation. A new technology that combines the strengths of different techniques has been developed, in particular having both the speed of one-shot techniques and the selectivity and precision of point-by-point RF: the RF balloon (RFB).
View Article and Find Full Text PDFHeart Rhythm
January 2025
Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK; Leeds Institute of Data Analytics, University of Leeds, Leeds, UK; Department of Cardiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Background: Detecting atrial fibrillation (AF) after stroke is a key component of secondary prevention, but indiscriminate prolonged cardiac monitoring is costly and burdensome. Multivariable prediction models could be used to inform patient selection.
Objective: To determine the performance of available models for predicting AF after a stroke.
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