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BackgroundStroke remains a concern after transcatheter aortic valve replacement (TAVR). Several studies attempted to identify correlates of stroke but there remains a need for better predictors. ObjectiveThis study aims to characterize the aortic arch to identify potential correlates of stroke after TAVR using a patient cohort that includes cases with and without stroke. MethodsA retrospective analysis was performed on 52 patients who underwent TAVR at Mayo Clinic and Maria Cecilia Hospital. Of these patients, 26 had a stroke after TAVR and 26 did not (control). Anatomical characterization was performed on each patient. Patient-specific 3D digital models of the ascending aorta, aortic arch, and calcium were created for each patient. Geometrical measurements, including cross-sectional areas, volumes, tortuosity, curvature, and length of the model were recorded. ResultsThere was no significant difference in the various area measurements between the two groups, but the aortic arch cross-sectional area ratio (cerebral ostia cross-sectional areas/arch cross-sectional area) was significantly higher in the stroke group. Additionally, there was no significant difference in tortuosity, curvature, aortic volume, and length of the aorta. Aortic valve calcium score, aorta calcium, and aortic arch type (I, II, or III) were not significantly different between the groups. The prevalence of a bovine arch (BA) configuration was significantly higher in the stroke group (46% vs 8% control,p < 0.05). ConclusionAortic arch cross-sectional area ratio and BA variant were the most significant correlates of stroke after TAVR.
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Sequentially Constrained Hamilton Cycles in Random Graphs
ABSTRACT We discuss the existence of Hamilton cycles in the random graph where there are restrictions caused by (i) coloring sequences, (ii) a subset of vertices must occur in a specific order, and (iii) there is a bound on the number of inversions in the associated permutation.
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- Award ID(s):
- 2054503
- PAR ID:
- 10631117
- Publisher / Repository:
- Wiley Blackwell (John Wiley & Sons)
- Date Published:
- Journal Name:
- Random Structures & Algorithms
- Volume:
- 67
- Issue:
- 1
- ISSN:
- 1042-9832
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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