Association Between Blood Flow Pattern and Rupture Risk of Abdominal Aortic Aneurysm Based on Computational Fluid Dynamics

This study aimed to derive a novel classification of blood flow pattern in abdominal aortic aneurysms (AAA) based on computational fluid dynamics (CFDs), and determine the predictive value patterns AAA rupture. was an age sex matched case control study. Cases were identified as patients who underwent emergency endovascular or open repair due ruptured at risk impending Controls with asymptomatic had confirmed unruptured from computed tomography angiography images same period. Classification (type I: non-helical main channel multiple vortices; type II: single III, helical vortices) haemodynamic parameters (areas low wall shear stress [AlowWSS], aneurysm pressure drop [Δ pressure], etc) derived CFD analyses. Multivariable regression used independent rupture factors. The incremental discriminant reclassification abilities for compared among different models. Fifty-three 53 intact included. Ruptured showed higher prevalence III than (60.4% vs. 15.1%; p < .001). Type associated significantly increased (odds ratio 10.22, 95% confidence interval 3.43 – 30.49). Among all predicting models, combination diameter, (AlowWSS Δ pressure), highest both overall population (c-index = 0.862) subgroup AAAs 55 mm 0.972). Compared adding could improve (net index [NRI] 0.321; .001) (NRI 0.732; integration may identification high those mm.