A mathematical model of cardiovascular dynamics for the diagnosis and prognosis of hemorrhagic shock

Author:

D’Orsi Laura1,Curcio Luciano2,Cibella Fabio2,Borri Alessandro1,Gavish Lilach3,Eisenkraft Arik4,De Gaetano Andrea1

Affiliation:

1. National Research Council of Italy, Institute for Systems Analysis and Computer Science ‘A. Ruberti’, Biomathematics Laboratory, UCSC Largo A. Gemelli 8, 00168 Rome, Italy

2. National Research Council of Italy, Institute for Biomedical Research and Innovation, Biomathematics Laboratory, Via Ugo La Malfa, 153, 90146 Palermo, Italy

3. Institute for Research in Military Medicine (IRMM), Faculty of Medicine, The Hebrew University of Jerusalem, 9112001, Israel, Institute for Medical Research (IMRIC), Faculty of Medicine, The Hebrew University of Jerusalem, 9112001, Israel

4. Institute for Research in Military Medicine (IRMM), Faculty of Medicine, The Hebrew University of Jerusalem, 9112001, Israel

Abstract

Abstract A variety of mathematical models of the cardiovascular system have been suggested over several years in order to describe the time-course of a series of physiological variables (i.e. heart rate, cardiac output, arterial pressure) relevant for the compensation mechanisms to perturbations, such as severe haemorrhage. The current study provides a simple but realistic mathematical description of cardiovascular dynamics that may be useful in the assessment and prognosis of hemorrhagic shock. The present work proposes a first version of a differential-algebraic equations model, the model dynamical ODE model for haemorrhage (dODEg). The model consists of 10 differential and 14 algebraic equations, incorporating 61 model parameters. This model is capable of replicating the changes in heart rate, mean arterial pressure and cardiac output after the onset of bleeding observed in four experimental animal preparations and fits well to the experimental data. By predicting the time-course of the physiological response after haemorrhage, the dODEg model presented here may be of significant value for the quantitative assessment of conventional or novel therapeutic regimens. The model may be applied to the prediction of survivability and to the determination of the urgency of evacuation towards definitive surgical treatment in the operational setting.

Publisher

Oxford University Press (OUP)

Subject

Applied Mathematics,Pharmacology,General Environmental Science,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine,General Neuroscience

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