Title :
A computational model-based validation of Guyton´s analysis of cardiac output and venous return curves
Author :
Mukkamala, R. ; Cohen, RJ ; Mark, RG
Author_Institution :
Harvard-MIT Div. of Health Sci. & Technol., Cambridge, MA, USA
Abstract :
Guyton (1973) developed a popular approach for understanding the factors responsible for cardiac output (CO) regulation in which 1) the heart-lung unit and systemic circulation are independently characterized via CO and venous return (VR) curves, and 2) average CO and right atrial pressure (RAP) of the intact circulation are predicted by graphically intersecting the curves. However, this approach is virtually impossible to verify experimentally. We theoretically evaluated the approach with respect to a nonlinear, computational model of the pulsatile heart and circulation. We developed two sets of open circulation models to generate CO and VR curves, differing by the manner in which average RAP was varied One set applied constant RAPs, while the other set applied pulsatile RAPs. Accurate prediction of intact, average CO and RAP was achieved only by intersecting the CO and VR curves generated with pulsatile RAPs because of the pulsatility and nonlinearity (e.g., systemic venous collapse) of the intact model. The CO and VR curves generated with pulsatile RAPs were also practically independent. This theoretical study therefore supports the validity of Guyton´s graphical analysis.
Keywords :
cardiology; haemodynamics; medical computing; physiological models; cardiac output; cardiac output regulation; graphical analysis; heart-lung unit; intact circulation; open circulation models; pulsatile heart; right atrial pressure; systemic circulation; systemic venous collapse; venous return; venous return curves; Animals; Blood; Computational modeling; Electrical resistance measurement; Heart rate; Hemodynamics; Predictive models; Pressure measurement; Roentgenium; Virtual reality;
Conference_Titel :
Computers in Cardiology, 2002
Print_ISBN :
0-7803-7735-4
DOI :
10.1109/CIC.2002.1166834