Ashley A Hiebing, Matthew A Culver, John F LaDisa, Colleen M Witzenburg
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引用次数: 0
Abstract
Coarctation of the aorta (CoA) is a common congenital cardiovascular lesion that presents as a localized narrowing of the proximal descending aorta. While improvements in surgical and catheter-based techniques have increased short-term survival, there is a high long-term risk of hypertension and a reduced average lifespan despite correction. Computational models can be used to estimate aortic remodeling and peripheral vascular compensation, potentially serving as key tools in developing a mechanistic understanding of the interplay between pre-treatment dynamics, post-treatment recovery, and long-term hypertension risk. In this study, we developed a lumped-parameter model of the heart and circulation to simulate CoA. After fitting model parameters using imaging and catheterization data from healthy rabbits, we then used the model to estimate differences in ascending aortic compliance and peripheral resistance between the healthy group and rabbits with both untreated and corrected CoA using their imaging and catheterization data. CoA was defined by the current putative clinical treatment threshold (a pressure gradient > 20 mm Hg). Model inputs were fitted such that outputs matched reported stroke volume, ejection fraction, systolic and diastolic aortic pressure, peak aortic flow, mean and peak blood pressure gradients, and upper-to-lower body flow split, with all results falling within one standard deviation of the data for all groups. In the untreated CoA and corrected simulations, a decrease in ascending aortic compliance was necessary to match reported hemodynamics. This suggests exposure to a pressure gradient > 20 mm Hg results in vascular remodeling that persists after repair, a process strongly correlated with hypertension.
期刊介绍:
Mechanics regulates biological processes at the molecular, cellular, tissue, organ, and organism levels. A goal of this journal is to promote basic and applied research that integrates the expanding knowledge-bases in the allied fields of biomechanics and mechanobiology. Approaches may be experimental, theoretical, or computational; they may address phenomena at the nano, micro, or macrolevels. Of particular interest are investigations that
(1) quantify the mechanical environment in which cells and matrix function in health, disease, or injury,
(2) identify and quantify mechanosensitive responses and their mechanisms,
(3) detail inter-relations between mechanics and biological processes such as growth, remodeling, adaptation, and repair, and
(4) report discoveries that advance therapeutic and diagnostic procedures.
Especially encouraged are analytical and computational models based on solid mechanics, fluid mechanics, or thermomechanics, and their interactions; also encouraged are reports of new experimental methods that expand measurement capabilities and new mathematical methods that facilitate analysis.