title: An educational training simulator for advanced perfusion techniques using a high-fidelity virtual patient model.
abstract: The operation of cardiopulmonary bypass procedure requires an advanced skill in both physiological and mechanical knowledge. We developed a virtual patient simulator system using a numerical cardiovascular regulation model to manage perfusion crisis. This article evaluates the ability of the new simulator to prevent perfusion crisis. It combined short-term baroreflex regulation of venous capacity, vascular resistance, heart rate, time-varying elastance of the heart, and plasma-refilling with a simple lumped parameter model of the cardiovascular system. The combination of parameters related to baroreflex regulation was calculated using clinical hemodynamic data. We examined the effect of differences in autonomous-nerve control parameter settings on changes in blood volume and hemodynamic parameters and determined the influence of the model on operation of the control arterial line flow and blood volume during the initiation and weaning from cardiopulmonary bypass. Typical blood pressure (BP) changes (hypertension, stable, and hypotension) were reproducible using a combination of four control parameters that can be estimated from changes in patient physiology, BP, and blood volume. This simulation model is a useful educational tool to learn the recognition and management skills of extracorporeal circulation. Identification method for control parameter can be applied for diagnosis of heart failure.
authors.affiliation: Department of Surgery, Graduate School of Biomedical Science, Hiroshima University, Hiroshima, Japan.
authors.forename: Megumi
authors.initials: M
authors.lastname: Tokaji
authors.forename: Shinji
authors.initials: S
authors.lastname: Ninomiya
authors.forename: Tatsuya
authors.initials: T
authors.lastname: Kurosaki
authors.forename: Kazumasa
authors.initials: K
authors.lastname: Orihashi
authors.forename: Taijiro
authors.initials: T
authors.lastname: Sueda
mesh_terms: D017776:Autonomic Pathways / Q000502:physiology; D002315:Cardiopulmonary Bypass / Q000193:education*; D006439:Hemodynamics; D006801:Humans; D020896:Hypovolemia / Q000503:physiopathology; D008955:Models, Cardiovascular; D010477:Perfusion / Q000379:methods