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


Journal

Mathematical medicine and biology : a journal of the IMA
ISSN: 1477-8602
Titre abrégé: Math Med Biol
Pays: England
ID NLM: 101182345

Informations de publication

Date de publication:
15 12 2021
Historique:
received: 03 11 2020
revised: 16 08 2021
accepted: 16 08 2021
pubmed: 10 9 2021
medline: 24 12 2021
entrez: 9 9 2021
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 34499176
pii: 6367650
doi: 10.1093/imammb/dqab011
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

417-441

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of the Institute of Mathematics and its Applications. All rights reserved.

Auteurs

Laura D'Orsi (L)

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 (L)

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

Fabio Cibella (F)

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

Alessandro Borri (A)

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 (L)

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 (A)

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

Andrea De Gaetano (A)

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

Articles similaires

Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell
Animals TOR Serine-Threonine Kinases Colorectal Neoplasms Colitis Mice
Animals Tail Swine Behavior, Animal Animal Husbandry

Classifications MeSH