Reduced order computational fluid dynamic simulations in the thoracic aorta are associated with disease recorded in a medical biobank
摘要
This study examines the association of aortic geometric traits with flow characteristics and disease outcomes in 3204 patients from the Penn Medicine Biobank (PMBB). Using an nnU-Net, the thoracic aorta was segmented from CT scans to measure traits such as diameter and length. A one-dimensional reduced-order Navier–Stokes model (ROM) simulated aortic pulse pressure under various physiological conditions. Phenome-wide association studies (PheWAS) were conducted to link aortic traits to diseases using electronic health records (EHR). Significant associations were identified between aortic pulse pressure and conditions like aortic aneurysms, heart valve disorders, hypertension, and obesity. Notably, pulse pressure—but not aortic diameter—was also linked to diseases such as diabetes mellitus, wheezing, and chronic airway obstruction. The ROM-simulated pulse pressure showed not only previously recognized associations with diseases such as aortic aneurysm and hypertension, but also associations with conditions affecting organs outside the aorta. ROM hemodynamic simulations can be applied to thoracic images at the scale of thousands of patients. The ROM-simulated pulse pressure showed not only previously recognized associations with diseases including aortic aneurysm and hypertension, but also other diseases outside the aorta.