Kinetics of the coagulation cascade including the contact activation system: sensitivity analysis and model reduction.
Bayesian inference
Coagulation cascade modeling
Model reduction
Sensitivity analysis
Journal
Biomechanics and modeling in mechanobiology
ISSN: 1617-7940
Titre abrégé: Biomech Model Mechanobiol
Pays: Germany
ID NLM: 101135325
Informations de publication
Date de publication:
Aug 2019
Aug 2019
Historique:
received:
17
09
2018
accepted:
16
02
2019
pubmed:
23
3
2019
medline:
21
12
2019
entrez:
23
3
2019
Statut:
ppublish
Résumé
Thrombus formation is one of the main issues in the development of blood-contacting medical devices. This article focuses on the modeling of one aspect of thrombosis, the coagulation cascade, which is initiated by the contact activation at the device surface and forms thrombin. Models exist representing the coagulation cascade by a series of reactions, usually solved in quiescent plasma. However, large parameter uncertainty involved in the kinetic models can affect the predictive capabilities of this approach. In addition, the large number of reactions of the kinetic models prevents their use in the simulation of complex flow configurations encountered in medical devices. In the current work, both issues are addressed to improve the applicability and fidelity of kinetic models. A sensitivity analysis is performed by two different techniques to identify the most sensitive parameters of an existing detailed kinetic model of the coagulation cascade. The results are used to select the form of a novel reduced model of the coagulation cascade which relies on eight chemical reactors only. Then, once its parameters have been calibrated thanks to the Bayesian inference, this model shows good predictive capabilities for different initial conditions.
Identifiants
pubmed: 30900051
doi: 10.1007/s10237-019-01134-4
pii: 10.1007/s10237-019-01134-4
doi:
Substances chimiques
Thrombin
EC 3.4.21.5
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1139-1153Subventions
Organisme : LabEx Numev
ID : ANR-10-LABX-20
Organisme : GENCI-CINES
ID : 2017-A0020307194
Organisme : GENCI-CINES
ID : 2018-A0040307194