J Am Coll Surg
June 2022
Background: A considerable number of surgical residents fail the mandated endoscopy exam despite having completed the required clinical cases. Low-cost endoscopy box trainers (BTs) could democratize training; however, their effectiveness has never been compared with higher-cost virtual reality simulators (VRSs).
Study Design: In this randomized noninferiority trial, endoscopy novices trained either on the VRS used in the Fundamental of Endoscopic Surgery manual skills (FESms) exam or a validated BT-the Basic Endoscopic Skills Training (BEST) box.
Background: Patients undergoing invasive cardiothoracic procedures are prone for pre-procedural anxiety and depression. Patient education is known to reduce anxiety. This study was performed to assess the effect of Virtual Reality (VR) as a means to educate patients to reduce pre-procedural anxiety in adult patients undergoing percutaneous closure of a patent foramen ovale (PFO) or atrial septal defect (ASD).
View Article and Find Full Text PDFIntroduction: An increased focus on shared decision-making and patient empowerment in cardiology and on patient outcomes such as quality of life (QoL), depression, and anxiety underline the importance of high-quality patient education. Studies focusing on digital means of patient education performed in other disciplines of medicine demonstrated its positive effect in these areas. Therefore, a review of the current literature was performed to (i) evaluate the status of innovative, digitalized means of patient education in cardiology and (ii) assess the impact of digital patient education on outcome parameters (i.
View Article and Find Full Text PDFBackground & Aims: The population prevalence of gastrointestinal (GI) disease is unclear and difficult to assess in an asymptomatic population. The aim of this study was to determine prevalence of GI lesions in a largely asymptomatic population undergoing colon capsule endoscopy (CCE).
Methods: Participants aged between 50-75 years were retrieved from the Rotterdam Study, a longitudinal epidemiological study, between 2017-2019.
Background: Phospholamban (PLN) p.Arg14del mutation carriers are known to develop dilated and/or arrhythmogenic cardiomyopathy, and typical electrocardiographic (ECG) features have been identified for diagnosis. Machine learning is a powerful tool used in ECG analysis and has shown to outperform cardiologists.
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