Vein maladaptation, leading to poor long-term patency, is a serious clinical problem in patients receiving coronary artery bypass grafts (CABGs) or undergoing related clinical procedures that subject veins to elevated blood flow and pressure. We propose a computational model of venous adaptation to altered pressure based on a constrained mixture theory of growth and remodeling (G&R). We identify constitutive parameters that optimally match biaxial data from a mouse vena cava, then numerically subject the vein to altered pressure conditions and quantify the extent of adaptation for a biologically reasonable set of bounds for G&R parameters. We identify conditions under which a vein graft can adapt optimally and explore physiological constraints that lead to maladaptation. Finally, we test the hypothesis that a gradual, rather than a step, change in pressure will reduce maladaptation. Optimization is used to accelerate parameter identification and numerically evaluate hypotheses of vein remodeling.
Computational Simulation of the Adaptive Capacity of Vein Grafts in Response to Increased Pressure
Manuscript received March 21, 2014; final manuscript received October 17, 2014; published online January 29, 2015. Assoc. Editor: Kristen Billiar.
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Ramachandra, A. B., Sankaran, S., Humphrey, J. D., and Marsden, A. L. (March 1, 2015). "Computational Simulation of the Adaptive Capacity of Vein Grafts in Response to Increased Pressure." ASME. J Biomech Eng. March 2015; 137(3): 031009. https://doi.org/10.1115/1.4029021
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