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American Heart Association

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Final ID: 4117345

Predicting Downstream Aneurysmal Degeneration Following Type A Dissection Repair With Computational Fluid Dynamics

Abstract Body (Do not enter title and authors here): Introduction
Acute type A aortic dissection (ATAAD) is typically treated by replacement of the ascending aorta (+/- root) and proximal arch. However, 70-85% of patients have residual distal dissection post-repair, and 20-40% require late reoperation for aneurysmal degeneration of the distal aorta (ADDA). Since an individual patient’s risk of ADDA cannot be accurately predicted, current guidelines recommend lifelong aortic surveillance imaging for all patients.

Hypothesis
Computational fluid dynamics (CFD) simulations of aortic hemodynamics post-repair can accurately identify patients at late risk of ADDA.

Methods
We performed CFD simulations of 50 patients following hemi-arch replacement for ATAAD. Patient-specific 3D models were generated from the aortic root to iliac bifurcation (including arch branches) from postoperative 0.6mm contrast-enhanced CT angiograms taken <1 year after index repair (Figure). Exclusion criteria were known heritable thoracic aortic disease and absence of residual dissection. The primary outcome was ADDA, defined as late growth of the distal arch/descending thoracic aorta (DTA) to a diameter ≥5.5cm. Hemodynamic simulations were run for 6 cardiac cycles on a high-performance computing cluster using HARVEY, a CFD solver implementing the lattice Boltzmann method. The primary hemodynamic metric was time-averaged wall shear stress (TAWSS) ratio between the false and true lumens.

Results
ADDA developed in 22 patients (44%) at a mean of 3.2 years postoperatively. There were no significant clinical differences between those with and without ADDA (Table). The development of late aneurysm growth was significantly associated with a higher TAWSS ratio in the proximal DTA (p<0.05, Figure).

Conclusion
ADDA following hemi-arch repair for ATAAD is associated with significantly higher false lumen TAWSS as early as the first surveillance scan. CFD simulations may help clinicians risk-stratify patients years before they meet reoperation criteria.
  • Jensen, Christopher  ( Duke University , Durham , North Carolina , United States )
  • Ghorbannia, Arash  ( Duke University , Durham , North Carolina , United States )
  • Urick, David  ( Duke University , Durham , North Carolina , United States )
  • Moya-mendez, Mary  ( Duke University , Durham , North Carolina , United States )
  • Vekstein, Andrew  ( Duke University , Durham , North Carolina , United States )
  • Draeger, Erik  ( Lawrence Livermore National Laboratory , Livermore , California , United States )
  • Williams, Adam  ( Duke University , Durham , North Carolina , United States )
  • Hughes, G  ( Duke University , Durham , North Carolina , United States )
  • Randles, Amanda  ( Duke University , Durham , North Carolina , United States )
  • Author Disclosures:
    Christopher Jensen: DO NOT have relevant financial relationships | Arash Ghorbannia: DO NOT have relevant financial relationships | David Urick: DO NOT have relevant financial relationships | Mary Moya-Mendez: DO NOT have relevant financial relationships | Andrew Vekstein: DO NOT have relevant financial relationships | Erik Draeger: No Answer | Adam Williams: No Answer | G Hughes: No Answer | Amanda RANDLES: DO NOT have relevant financial relationships
Meeting Info:

Scientific Sessions 2024

2024

Chicago, Illinois

Session Info:

Vivien Thomas Early Career Investigator Award Competition

Saturday, 11/16/2024 , 03:15PM - 04:15PM

Abstract Oral Session

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