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Image-based modeling of hemodynamics in coronary artery aneurysms caused by Kawasaki disease

Overview of attention for article published in Biomechanics and Modeling in Mechanobiology, November 2011
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Title
Image-based modeling of hemodynamics in coronary artery aneurysms caused by Kawasaki disease
Published in
Biomechanics and Modeling in Mechanobiology, November 2011
DOI 10.1007/s10237-011-0361-8
Pubmed ID
Authors

Dibyendu Sengupta, Andrew M. Kahn, Jane C. Burns, Sethuraman Sankaran, Shawn C. Shadden, Alison L. Marsden

Abstract

Kawasaki Disease (KD) is the leading cause of acquired pediatric heart disease. A subset of KD patients develops aneurysms in the coronary arteries, leading to increased risk of thrombosis and myocardial infarction. Currently, there are limited clinical data to guide the management of these patients, and the hemodynamic effects of these aneurysms are unknown. We applied patient-specific modeling to systematically quantify hemodynamics and wall shear stress in coronary arteries with aneurysms caused by KD. We modeled the hemodynamics in the aneurysms using anatomic data obtained by multi-detector computed tomography (CT) in a 10-year-old male subject who suffered KD at age 3 years. The altered hemodynamics were compared to that of a reconstructed normal coronary anatomy using our subject as the model. Computer simulations using a robust finite element framework were used to quantify time-varying shear stresses and particle trajectories in the coronary arteries. We accounted for the cardiac contractility and the microcirculation using physiologic downstream boundary conditions. The presence of aneurysms in the proximal coronary artery leads to flow recirculation, reduced wall shear stress within the aneurysm, and high wall shear stress gradients at the neck of the aneurysm. The wall shear stress in the KD subject (2.95-3.81 dynes/sq cm) was an order of magnitude lower than the normal control model (17.10-27.15 dynes/sq cm). Particle residence times were significantly higher, taking 5 cardiac cycles to fully clear from the aneurysmal regions in the KD subject compared to only 1.3 cardiac cycles from the corresponding regions of the normal model. In this novel quantitative study of hemodynamics in coronary aneurysms caused by KD, we documented markedly abnormal flow patterns that are associated with increased risk of thrombosis. This methodology has the potential to provide further insights into the effects of aneurysms in KD and to help risk stratify patients for appropriate medical and surgical interventions.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
United Kingdom 3 3%
United States 2 2%
Unknown 111 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 16%
Researcher 16 14%
Student > Master 12 10%
Student > Doctoral Student 9 8%
Student > Bachelor 9 8%
Other 23 20%
Unknown 28 24%
Readers by discipline Count As %
Engineering 47 41%
Medicine and Dentistry 20 17%
Mathematics 4 3%
Nursing and Health Professions 4 3%
Computer Science 4 3%
Other 8 7%
Unknown 29 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 November 2011.
All research outputs
#19,246,640
of 23,849,058 outputs
Outputs from Biomechanics and Modeling in Mechanobiology
#379
of 486 outputs
Outputs of similar age
#201,362
of 245,392 outputs
Outputs of similar age from Biomechanics and Modeling in Mechanobiology
#2
of 3 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 486 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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