Radiofrequency ablation (RFA) is an important therapeutic modality for atrial fibrillation (AF), widely utilized in clinical practice due to its safety and significant efficacy. However, post-procedural complications may arise, influenced by anatomical positioning and the intensity of ablation energy, with atrioesophageal fistula (AEF) being particularly rare yet severe. This case report describes a unique instance of a patient developing AEF following AF ablation, accompanied by ischemic stroke and myocardial infarction. A 71-year-old male admitted to the emergency department on July 19, 2024, with acute loss of consciousness and convulsions. Upon admission, physical examination and laboratory tests revealed vital signs within abnormal ranges and indicators suggesting inflammation and potential myocardial injury. Head CT scans showed hypoattenuating areas indicative of cerebral infarction, chest CT suggested possible air accumulation in the left atrial region. ECG findings were consistent with atrial flutter, myocardial infarction, and incomplete right bundle branch block. Given his history of atrial fibrillation and RFA, alongside clinical manifestations, the patient was diagnosed with cardio-cerebral syndrome, suspected to be complicated by an AEF due to the presence of air in the left atrium. AEF diagnosis was confirmed via cardiac CTA, leading to conservative management decisions. Despite initiating thrombolysis for cerebral infarction and supportive treatments for heart failure, including VA-ECMO, the patient's condition continued to decline, evidenced by cardiogenic shock, heart failure, and progressive neurological deficits including coma and dilated non-reactive pupils. Ultimately resulting in family-elected discharge against medical advice on the fourth day of hospitalization.
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http://dx.doi.org/10.3389/fcvm.2025.1493259 | DOI Listing |
J Med Internet Res
March 2025
Westmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, Westmead, Australia.
Background: Conversational artificial intelligence (AI) allows for engaging interactions, however, its acceptability, barriers, and enablers to support patients with atrial fibrillation (AF) are unknown.
Objective: This work stems from the Coordinating Health care with AI-supported Technology for patients with AF (CHAT-AF) trial and aims to explore patient perspectives on receiving support from a conversational AI support program.
Methods: Patients with AF recruited for a randomized controlled trial who received the intervention were approached for semistructured interviews using purposive sampling.
Europace
March 2025
Clinical Cardiac Academic Group, Genetic and Cardiovascular Sciences Institute, City-St George's University of London, London, UK.
Atrial fibrillation (AF) is one of the most common cardiac diseases and a complicating comorbidity for multiple associated diseases. Many clinical decisions regarding AF are currently based on the binary recognition of AF being present or absent with the categorical appraisal of AF as continued or intermittent. Assessment of AF in clinical trials is largely limited to the time to (first) detection of an AF episode.
View Article and Find Full Text PDFAm J Respir Crit Care Med
March 2025
Imperial College London, National Heart and Lung Institute, London, United Kingdom of Great Britain and Northern Ireland;
JACC Case Rep
January 2025
Division of Cardiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA. Electronic address:
Background: Although rare, embolization of left atrial appendage occlusion (LAAO) devices carries a significant morbidity and mortality burden.
Case Summary: An asymptomatic 77-year-old woman with inability to tolerate anticoagulation due to gastrointestinal bleeding presented for 45-day transesophageal echocardiography following LAAO with a Watchman device, which demonstrated incidental device migration to the left ventricular outflow tract (LVOT). Percutaneous extraction was performed using a novel technique with rat tooth/alligator forceps to successfully retrieve the Watchman from the LVOT using a transaortic approach.
Eur J Haematol
March 2025
Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Background: One of the limiting toxicities of BTKi is the development of atrial fibrillation (AF), with an incidence of 3%-16%.
Aim: This study aimed to identify patients with chronic lymphocytic leukemia (CLL) starting both first- and second-generation BTKis who are at high risk of developing AF using a machine learning approach.
Methods: The CLL cohort is based on data obtained from electronic medical records from Maccabi, the second-largest healthcare organization in Israel.
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