title: Hemodynamic changes following aortic valve bypass: a mathematical approach.
abstract: Aortic valve bypass (AVB) has been shown to be a viable solution for patients with severe aortic stenosis (AS). Under this circumstance, the left ventricle (LV) has a double outlet. The objective was to develop a mathematical model capable of evaluating the hemodynamic performance following the AVB surgery. A mathematical model that captures the interaction between LV, AS, arterial system, and AVB was developed. This model uses a limited number of parameters that all can be non-invasively measured using patient data. The model was validated using in vivo data from the literature. The model was used to determine the effect of different AVB and AS configurations on flow proportion and pressure of the aortic valve and the AVB. Results showed that the AVB leads to a significant reduction in transvalvular pressure gradient. The percentage of flow through the AVB can range from 55.47% to 69.43% following AVB with a severe AS. LV stroke work was also significantly reduced following the AVB surgery and reached a value of around 1.2 J for several AS severities. Findings of this study suggest: 1) the AVB leads to a significant reduction in transvalvular pressure gradients; 2) flow distribution between the AS and the AVB is significantly affected by the conduit valve size; 3) the AVB leads to a significant reduction in LV stroke work; and 4) hemodynamic performance variations can be estimated using the model.
authors.affiliation: Mechanical and Industrial Engineering Department, Concordia University, Montreal, Québec, Canada.
authors.forename: Emilia
authors.initials: E
authors.lastname: Benevento
authors.affiliation: University Abou Bekr Belkaid, Tlemcen, Algeria.
authors.forename: Abdelghani
authors.initials: A
authors.lastname: Djebbari
authors.affiliation: Mechanical and Industrial Engineering Department, Concordia University, Montreal, Québec, Canada; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America; Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America; Department of Medicine, Laval University, Québec, Québec, Canada.
authors.forename: Zahra
authors.initials: Z
authors.lastname: Keshavarz-Motamed
authors.affiliation: Department of Surgery, Division of Cardiac Surgery, McGill University, Montreal, Quebec, Canada.
authors.forename: Renzo
authors.initials: R
authors.lastname: Cecere
authors.affiliation: Mechanical and Industrial Engineering Department, Concordia University, Montreal, Québec, Canada.
authors.forename: Lyes
authors.initials: L
authors.lastname: Kadem
mesh_terms: D001021:Aortic Valve / Q000601:surgery*; D001024:Aortic Valve Stenosis / Q000503:physiopathology / Q000601:surgery*; D003326:Coronary Circulation; D006439:Hemodynamics; D006801:Humans; D008955:Models, Cardiovascular; D008962:Models, Theoretical; D015203:Reproducibility of Results