Abstract
Coagulation and platelet aggregation are the primary mechanisms for maintaining hemostasis upon traumatic injury. However, prolonged bleeding may lead to trauma-induced coagulopathy (TIC) or the apparent phenomenon of blood coagulation is impaired upon prolonged blood loss. This has been studied extensively via computational modeling, where the overall goal is to quantify metabolic responses, predict responses to physiological perturbations, and develop “on-the-fly” patient-specific strategies. Models of trauma patient evolution and clot growth rates have been developed to better understand the evolution of TIC in a trauma patient. Mechanistic and statistical models have been informed via experiment, whereby the trauma patient blood is acquired at marked time intervals after injury to better stratify the patient bleeding risks, prioritize biomarkers, and identify new opportunities for safer treatment options.
Evan J. Tsiklidis and Christopher C. Verni are co-first authors.
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Abbreviations
- ADP:
-
Adenosine diphosphate
- DIC:
-
Disseminated intravascular coagulation
- FEM:
-
Finite element method
- LB:
-
Lattice Boltzmann
- LKMC:
-
Lattice kinetic Monte Carlo
- NN:
-
Neural network
- ODE:
-
Ordinary differential equation
- PAS:
-
Pairwise agonist scanning
- PAS-FC:
-
Pairwise agonist scanning-flow cytometry
- PBRC:
-
Packed red blood cells
- PDE:
-
Partial differential equation
- PRP:
-
Platelet-rich plasma
- TAT:
-
Thrombin-antithrombin
- TBI:
-
Traumatic brain injury
- TEG:
-
Thromboelastography
- TF:
-
Inflammatory tissue factor
- TIC:
-
Trauma-induced coagulopathy
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Tsiklidis, E.J., Verni, C.C., Sinno, T., Diamond, S.L. (2021). Computational Modeling of the Coagulation Response During Trauma. In: Vodovotz, Y., An, G. (eds) Complex Systems and Computational Biology Approaches to Acute Inflammation. Springer, Cham. https://doi.org/10.1007/978-3-030-56510-7_9
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