Biomechanics and Modeling in Mechanobiology

, Volume 16, Issue 6, pp 2093–2112 | Cite as

Cardiovascular mechanics in the early stages of pulmonary hypertension: a computational study

  • Sebastián Acosta
  • Charles Puelz
  • Béatrice Rivière
  • Daniel J. Penny
  • Ken M. Brady
  • Craig G. Rusin
Original Paper

Abstract

We formulate and study a new mathematical model of pulmonary hypertension. Based on principles of fluid and elastic dynamics, we introduce a model that quantifies the stiffening of pulmonary vasculature (arteries and arterioles) to reproduce the hemodynamics of the pulmonary system, including physiologically consistent dependence between compliance and resistance. This pulmonary model is embedded in a closed-loop network of the major vessels in the body, approximated as one-dimensional elastic tubes, and zero-dimensional models for the heart and other organs. Increasingly severe pulmonary hypertension is modeled in the context of two extreme scenarios: (1) no cardiac compensation and (2) compensation to achieve constant cardiac output. Simulations from the computational model are used to estimate cardiac workload, as well as pressure and flow traces at several locations. We also quantify the sensitivity of several diagnostic indicators to the progression of pulmonary arterial stiffening. Simulation results indicate that pulmonary pulse pressure, pulmonary vascular compliance, pulmonary RC time, luminal distensibility of the pulmonary artery, and pulmonary vascular impedance are much better suited to detect the early stages of pulmonary hypertension than mean pulmonary arterial pressure and pulmonary vascular resistance, which are conventionally employed as diagnostic indicators for this disease.

Keywords

Pulmonary arterial hypertension Computational hemodynamics Cardiovascular mechanics Blood flow 

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Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.Department of Pediatrics–CardiologyBaylor College of Medicine and Texas Children’s HospitalHoustonUSA
  2. 2.Department of Computational and Applied MathematicsRice UniversityHoustonUSA
  3. 3.Department of AnesthesiologyBaylor College of Medicine and Texas Children’s HospitalHoustonUSA

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