A digital twin approach for stroke risk assessment in Atrial Fibrillation Patients.

ABSTRACT: Atrial fibrillation (AF) is associated with a fivefold increased risk of cerebrovascular events, contributing to 15-18 % of all strokes. Stroke prevention in clinical practice is typically guided by the CHA₂DS₂-VASc score, which depends on general clinical risk factors but falls short in predicting risk at an individual patient level. In this study, we introduce a digital twin model of the left atrium (LA) combined with computational fluid dynamics (CFD) simulations to enhance personalized stroke risk assessment. Simulations were performed on patient-specific dynamic LA models in sinus rhythm (SR) across three patient groups: 10 controls (CTRL), 10 with paroxysmal AF (PAR-AF), and 10 with persistent AF (PER-AF). Blood flow velocity and areas susceptible to thrombogene

SUBMITTER: Falanga M 

PROVIDER: S-EPMC11541462 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature