Background: Acute coronary syndromes (ACS) require prompt diagnosis through initial electrocardiograms (ECG), but ECG machines are not always accessible. Meanwhile, smartwatches offering ECG functionality have become widespread. This study evaluates the feasibility of an image-based ECG analysis artificial intelligence (AI) system with smartwatch-based multichannel, asynchronous ECG for diagnosing ACS.
View Article and Find Full Text PDFBackground: Atrial fibrillation (AF) has been identified as a marker of advanced cardiac damage in aortic stenosis patients. However, the factors associated with poorer outcomes among AF patients in contemporary TAVR practice, particularly regarding mortality and heart failure (HF)-related hospitalizations, remain largely unknown.
Methods: Multicenter study including consecutive patients with a history of AF, evaluating the clinical outcomes and predictors of mortality, and HF-related hospitalization, who underwent TAVR with newer-generation devices using balloon or self-expandable valves.