Reduced order computational fluid dynamic simulations in the thoracic aorta are associated with disease recorded in a medical biobank

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.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-11-10
DOI
https://doi.org/10.1038/s41598-025-14401-5
Primary Topic
Cardiovascular Health and Disease Prevention
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reduced order computational fluid dynamic simulations in the thoracic aorta are associated with disease recorded in a medical biobank

Sophia Swago, Paris Perdikaris, Julio A. Chirinos, Georgios Kissas et al.
Scientific Reports
Cardiovascular Health and Disease Prevention
article

Reduced order computational fluid dynamic simulations in the thoracic aorta are associated with disease recorded in a medical biobank

Sophia Swago, Paris Perdikaris, Julio A. Chirinos, Georgios Kissas, Colleen Morse, Ned Haubein, Amal Bhattacharya, Giorgio Sirugo, Marjorie Risman, Cameron Beeche, Joseph Dunn, Teo Tran, Walter R T Witschey, Renae Judy, Elizabeth Thompson, Yi-An Ko, JoEllen Weaver, Colleen Morse Kripke, Scott Dudek, Nawar Naseer, Theodore G. Drivas, Stephanie DerOhannessian, Colin Wollack, Anurag Verma, Shefali S. Verma, Scott M. Damrauer, Afiya Poindexter, Fred Vadivieso, Julia Stephanowski, Kyle P. Nerz, Mukund Viswanadha, David Zhang, Salma Santos, Marylyn D. Ritchie, Daniel J. Rader, Yuki Bradford, Meghan Livingstone, Ryan Sokolow
article en

Abstract

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.

Scientific ReportsVol. 15(1)
ETH Zurich (CH), University of Pennsylvania (US), Philadelphia University (US)
Openalex Percentile: Top 49%
Cardiovascular Health and Disease Prevention
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.