title: An integrated mathematical model of the human cardiopulmonary system: model validation under hypercapnia and hypoxia.
abstract: A novel integrated physiological model of the interactions between the cardiovascular and respiratory systems has been in development for the past few years. The model has hundreds of parameters and variables representing the physical and physiological properties of the human cardiopulmonary system. It can simulate many dynamic states and scenarios. The description of the model and the results in normal resting conditions were presented in a companion paper (Albanese A, Cheng L, Ursino M, Chbat NW.Am J Physiol Heart Circ Physiol 310: 2016; doi:10.1152/ajpheart.00230.2014), where model predictions were compared against average population data from literature. However, it is also essential to test the model in abnormal or pathological conditions to prove its consistency. Hence, in this paper, we concentrate on testing the cardiopulmonary model under hypercapnic and hypoxic conditions, by comparing model's outputs to population-averaged cardiorespiratory data reported in the literature. The utility of this comprehensive model is demonstrated by testing the internal consistency of the simulated responses of a significant number of cardiovascular variables (heart rate, arterial pressure, and cardiac output) and respiratory variables (tidal volume, respiratory rate, minute ventilation, alveolar O2 and CO2 partial pressures) over a wide range of perturbations and conditions; namely, hypercapnia at 3-7% CO2 levels and hypoxia at 7-9% O2 levels with controlled CO2(isocapnic hypoxia) and without controlled CO2(hypocapnic hypoxia). Finally, a sensitivity analysis is performed to analyze the role of the main cardiorespiratory control mechanisms triggered by hypercapnia and hypoxia.
authors.affiliation: Philips Research North America, Briarcliff Manor, New York;
authors.forename: Limei
authors.initials: L
authors.lastname: Cheng
authors.affiliation: Philips Research North America, Briarcliff Manor, New York;
authors.forename: Antonio
authors.initials: A
authors.lastname: Albanese
authors.affiliation: Department of Electrical, Electronic, and Information Engineering, University of Bologna, Bologna, Italy; and.
authors.forename: Mauro
authors.initials: M
authors.lastname: Ursino
authors.affiliation: Philips Research North America, Briarcliff Manor, New York; Departments of Biomedical Engineering and Mechanical Engineering, Columbia University, New York, New York chbat@philips.com chbat@columbia.edu.
authors.forename: Nicolas W
authors.initials: NW
authors.lastname: Chbat
mesh_terms: D006439:Hemodynamics; D006801:Humans; D006935:Hypercapnia / Q000503:physiopathology*; D000860:Hypoxia / Q000503:physiopathology*; D008955:Models, Cardiovascular; D012119:Respiration
keywords: cardiopulmonary model; cardiorespiratory interactions; cardiovascular control; hypercapnia; hypoxia; respiratory control