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D'Orsi L, Curcio L, Cibella F, Borri A, Gavish L, Eisenkraft A, De Gaetano A. A mathematical model of cardiovascular dynamics for the diagnosis and prognosis of hemorrhagic shock. MATHEMATICAL MEDICINE AND BIOLOGY-A JOURNAL OF THE IMA 2021; 38:417-441. [PMID: 34499176 DOI: 10.1093/imammb/dqab011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 08/16/2021] [Accepted: 08/16/2021] [Indexed: 11/13/2022]
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.
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Affiliation(s)
- Laura D'Orsi
- National Research Council of Italy, Institute for Systems Analysis and Computer Science 'A. Ruberti', Biomathematics Laboratory, UCSC Largo A. Gemelli 8, 00168 Rome, Italy
| | - Luciano Curcio
- National Research Council of Italy, Institute for Biomedical Research and Innovation, Biomathematics Laboratory, Via Ugo La Malfa, 153, 90146 Palermo, Italy
| | - Fabio Cibella
- National Research Council of Italy, Institute for Biomedical Research and Innovation, Biomathematics Laboratory, Via Ugo La Malfa, 153, 90146 Palermo, Italy
| | - Alessandro Borri
- National Research Council of Italy, Institute for Systems Analysis and Computer Science 'A. Ruberti', Biomathematics Laboratory, UCSC Largo A. Gemelli 8, 00168 Rome, Italy
| | - Lilach Gavish
- 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
| | - Arik Eisenkraft
- Institute for Research in Military Medicine (IRMM), Faculty of Medicine, The Hebrew University of Jerusalem, 9112001, Israel
| | - Andrea De Gaetano
- National Research Council of Italy, Institute for Systems Analysis and Computer Science 'A. Ruberti', Biomathematics Laboratory, UCSC Largo A. Gemelli 8, 00168 Rome, Italy
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Seven Mathematical Models of Hemorrhagic Shock. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2021; 2021:6640638. [PMID: 34188690 PMCID: PMC8195646 DOI: 10.1155/2021/6640638] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 04/02/2021] [Indexed: 11/17/2022]
Abstract
Although mathematical modelling of pressure-flow dynamics in the cardiocirculatory system has a lengthy history, readily finding the appropriate model for the experimental situation at hand is often a challenge in and of itself. An ideal model would be relatively easy to use and reliable, besides being ethically acceptable. Furthermore, it would address the pathogenic features of the cardiovascular disease that one seeks to investigate. No universally valid model has been identified, even though a host of models have been developed. The object of this review is to describe several of the most relevant mathematical models of the cardiovascular system: the physiological features of circulatory dynamics are explained, and their mathematical formulations are compared. The focus is on the whole-body scale mathematical models that portray the subject's responses to hypovolemic shock. The models contained in this review differ from one another, both in the mathematical methodology adopted and in the physiological or pathological aspects described. Each model, in fact, mimics different aspects of cardiocirculatory physiology and pathophysiology to varying degrees: some of these models are geared to better understand the mechanisms of vascular hemodynamics, whereas others focus more on disease states so as to develop therapeutic standards of care or to test novel approaches. We will elucidate key issues involved in the modeling of cardiovascular system and its control by reviewing seven of these models developed to address these specific purposes.
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