title: Patient-specific modeling of cardiovascular and respiratory dynamics during hypercapnia.
abstract: This study develops a lumped cardiovascular-respiratory system-level model that incorporates patient-specific data to predict cardiorespiratory response to hypercapnia (increased CO(2) partial pressure) for a patient with congestive heart failure (CHF). In particular, the study focuses on predicting cerebral CO(2) reactivity, which can be defined as the ability of vessels in the cerebral vasculature to expand or contract in response CO(2) induced challenges. It is difficult to characterize cerebral CO(2) reactivity directly from measurements, since no methods exist to dynamically measure vasomotion of vessels in the cerebral vasculature. In this study we show how mathematical modeling can be combined with available data to predict cerebral CO(2) reactivity via dynamic predictions of cerebral vascular resistance, which can be directly related to vasomotion of vessels in the cerebral vasculature. To this end we have developed a coupled cardiovascular and respiratory model that predicts blood pressure, flow, and concentration of gasses (CO(2) and O(2)) in the systemic, cerebral, and pulmonary arteries and veins. Cerebral vascular resistance is incorporated via a model parameter separating cerebral arteries and veins. The model was adapted to a specific patient using parameter estimation combined with sensitivity analysis and subset selection. These techniques allowed estimation of cerebral vascular resistance along with other cardiovascular and respiratory parameters. Parameter estimation was carried out during eucapnia (breathing room air), first for the cardiovascular model and then for the respiratory model. Then, hypercapnia was introduced by increasing inspired CO(2) partial pressure. During eucapnia, seven cardiovascular parameters and four respiratory parameters was be identified and estimated, including cerebral and systemic resistance. During the transition from eucapnia to hypercapnia, the model predicted a drop in cerebral vascular resistance consistent with cerebral vasodilation.
authors.affiliation: Department of Mathematics, Virginia Commonwealth University, Richmond, VA, USA.
authors.forename: L M
authors.initials: LM
authors.lastname: Ellwein
authors.forename: S R
authors.initials: SR
authors.lastname: Pope
authors.forename: A
authors.initials: A
authors.lastname: Xie
authors.forename: J J
authors.initials: JJ
authors.lastname: Batzel
authors.forename: C T
authors.initials: CT
authors.lastname: Kelley
authors.forename: M S
authors.initials: MS
authors.lastname: Olufsen
mesh_terms: D002560:Cerebrovascular Circulation; D006333:Heart Failure / Q000503:physiopathology; D006801:Humans; D006935:Hypercapnia / Q000503:physiopathology*; D008297:Male; D055641:Mathematical Concepts; D008875:Middle Aged; D008954:Models, Biological; D008955:Models, Cardiovascular; D012143:Respiratory Physiological Phenomena; D014655:Vascular Resistance