In-silico Analysis of Device-Related Thrombosis for Different Left Atrial Appendage Occluder Settings

Atrial fibrillation (AF) is one of the most common cardiac arrhythmias and associated to an increasing risk stroke. Most AF-related strokes are formed in left atrial appendage (LAA). To prevent thrombus formation, LAA occlusion (LAAO) considered a suitable alternative for AF patients with contraindications anti-coagulation treatment. Nevertheless, LAAO linked non-negligible generating at surface near device (i.e., device-related thrombus, DRT), depending on implantation settings. For instance, it has been shown that not covering pulmonary ridge (PR) increases DRT. In-silico analysis useful tool better understand blood flow patterns after predict DRT given patient configuration. In present work we designed modelling pipeline based fluid simulations, including model using discrete phase modelling, analyse six patient-specific geometries different particular, studied possible incidence positioning (covering/uncovering PR) type (Amplatzer Amulet Watchman FLX). The resulting in-silico indices demonstrated PR entails less thrombogenic than uncovering it. our study, disk-based devices had adaptability complex morphologies slightly minor non-disk devices.