Background And Aims: Deep learning applied to electrocardiograms (ECG-AI) is an emerging approach for predicting atrial fibrillation or flutter (AF). This study introduces an ECG-AI model developed and tested at a tertiary cardiac centre, comparing its performance with clinical models and AF polygenic score (PGS).
Methods: Electrocardiograms in sinus rhythm from the Montreal Heart Institute were analysed, excluding those from patients with pre-existing AF.
Background And Aims: Implantable cardioverter-defibrillators (ICDs) are critical for preventing sudden cardiac death (SCD) in arrhythmogenic right ventricular cardiomyopathy (ARVC). This study aims to identify cross-continental differences in utilization of primary prevention ICDs and survival free from sustained ventricular arrhythmia (VA) in ARVC.
Methods: This was a retrospective analysis of ARVC patients without prior VA enrolled in clinical registries from 11 countries throughout Europe and North America.
Objective: Endocrine therapy is frequently administered in patients with hormone dependent (HR+) metastatic endometrial cancer. ESR1 mutations have emerged as a key mechanism of aromatase inhibitor (AI) resistance in HR + metastatic breast cancer and can be monitored using circulating tumor DNA (ctDNA). The aim of this study was to explore the incidence and clinical relevance of circulating ESR1 mutations in patients treated by AI or megestrol acetate (M) for advanced endometrial carcinoma.
View Article and Find Full Text PDFIntroduction: When an anomaly in the screening by cervical smear or by the HPV-HR test is detected, the women are called for a colposcopy. Waiting for colposcopy is often an anxiety-provoking situation for women, probably linked to a widespread ignorance of the value of screening and the pathophysiology of HPV infection.
Methods: The COLANX was a multicentric study, in Seine-Maritime, conducted with 8 colposcopist practitioners.