Patient-Specific Modelling of Blood Coagulation.

Blood coagulation Blood flow Reaction–diffusion waves Thrombin generation curves Treatment

Journal

Bulletin of mathematical biology
ISSN: 1522-9602
Titre abrégé: Bull Math Biol
Pays: United States
ID NLM: 0401404

Informations de publication

Date de publication:
27 03 2021
Historique:
received: 09 10 2020
accepted: 12 03 2021
entrez: 27 3 2021
pubmed: 28 3 2021
medline: 29 10 2021
Statut: epublish

Résumé

Blood coagulation represents one of the most studied processes in biomedical modelling. However, clinical applications of this modelling remain limited because of the complexity of this process and because of large inter-patient variation of the concentrations of blood factors, kinetic constants and physiological conditions. Determination of some of these patients-specific parameters is experimentally possible, but it would be related to excessive time and material costs impossible in clinical practice. We propose in this work a methodological approach to patient-specific modelling of blood coagulation. It begins with conventional thrombin generation tests allowing the determination of parameters of a reduced kinetic model. Next, this model is used to study spatial distributions of blood factors and blood coagulation in flow, and to evaluate the results of medical treatment of blood coagulation disorders.

Identifiants

pubmed: 33772645
doi: 10.1007/s11538-021-00890-8
pii: 10.1007/s11538-021-00890-8
pmc: PMC7998098
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

50

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Auteurs

N Ratto (N)

UMR 5208 CNRS, Institute Camille Jordan, Ecole Centrale de Lyon, Ecully, France.

A Bouchnita (A)

University of Texas at Austin, Austin, TX, 78712, USA.

P Chelle (P)

Center for Health Engineering, UMR 5307, Ecole Nationale Superieure des Mines de Saint-Etienne, 2023, Saint-Étienne, France.
EA3065, University Jean Monnet, 42023, Saint-Étienne, France.

M Marion (M)

UMR 5208 CNRS, Institute Camille Jordan, Ecole Centrale de Lyon, Ecully, France.

M Panteleev (M)

Faculty of Physics, Lomonosov Moscow State University, Moscow, Russia.
Center for Theoretical Problems of Physicochemical Pharmacology of the Russian Academy of Sciences, Moscow, Russia.
National Medical Research Center of Pediatric Hematology, Oncology and Immunology named after Dmitry Rogachev, Moscow, Russia.

D Nechipurenko (D)

Faculty of Physics, Lomonosov Moscow State University, Moscow, Russia.
Center for Theoretical Problems of Physicochemical Pharmacology of the Russian Academy of Sciences, Moscow, Russia.
National Medical Research Center of Pediatric Hematology, Oncology and Immunology named after Dmitry Rogachev, Moscow, Russia.

B Tardy-Poncet (B)

EA3065, University Jean Monnet, 42023, Saint-Étienne, France.
Inserm CIC1408, CHU de Saint-Etienne, 42023, Saint-Étienne, France.

V Volpert (V)

UMR 5208 CNRS, Institut Camille Jordan, University Lyon 1, 69622, Villeurbanne, France. volpert@math.univ-lyon1.fr.
INRIA Team Dracula, INRIA Lyon La Doua, 69603, Villeurbanne, France. volpert@math.univ-lyon1.fr.
Peoples' Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya St, Moscow, Russia, 117198. volpert@math.univ-lyon1.fr.

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Classifications MeSH