Literature DB >> 29675813

Computational Model for Hyperfibrinolytic Onset of Acute Traumatic Coagulopathy.

Tie Bo Wu1, Sheng Wu2, Matthew Buoni2, Thomas Orfeo3, Kathleen Brummel-Ziedins3, Mitchell Cohen4, Linda Petzold5.   

Abstract

The onset of acute traumatic coagulopathy in trauma patients exacerbates hemorrhaging and dramatically increases mortality. The disease is characterized by increased localized bleeding, and the mechanism for its onset is not yet known. We propose that the fibrinolytic response, specifically the release of tissue-plasminogen activator (t-PA), within vessels of different sizes leads to a variable susceptibility to local coagulopathy through hyperfibrinolysis which can explain many of the clinical observations in the early stages from severely injured coagulopathic patients. We use a partial differential equation model to examine the consequences of vessel geometry and extent of injury on fibrinolysis profiles. In addition, we simulate the efficacy of tranexamic acid treatment on coagulopathy initiated through endothelial t-PA release, and are able to reproduce the time-sensitive nature of the efficacy of this treatment as observed in clinical studies.

Entities:  

Keywords:  Coagulopathy; Computational medicine; Fibrinolysis; Partial differential equations; Tissue-plasminogen activator; Tranexamic acid; Trauma

Mesh:

Substances:

Year:  2018        PMID: 29675813     DOI: 10.1007/s10439-018-2031-9

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  3 in total

1.  [Efficacy and safety of intravenous combined with topical administration of tranexamic acid in reducing blood loss after intramedullary fixation of intertrochanteric femoral fractures].

Authors:  Haibo Li; Dahai Liu; Xuexia Tang; Na Wang; Dezhi Gong; Yan Wu; Yue Zhang; Wen Li; Yongsheng Gou
Journal:  Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi       Date:  2021-05-15

2.  Computational model of tranexamic acid on urokinase mediated fibrinolysis.

Authors:  Tie Bo Wu; Thomas Orfeo; Hunter B Moore; Joshua J Sumislawski; Mitchell J Cohen; Linda R Petzold
Journal:  PLoS One       Date:  2020-05-26       Impact factor: 3.240

3.  A Machine Learning-Based Model to Predict Acute Traumatic Coagulopathy in Trauma Patients Upon Emergency Hospitalization.

Authors:  Kaiyuan Li; Huitao Wu; Fei Pan; Li Chen; Cong Feng; Yihao Liu; Hui Hui; Xiaoyu Cai; Hebin Che; Yulong Ma; Tanshi Li
Journal:  Clin Appl Thromb Hemost       Date:  2020 Jan-Dec       Impact factor: 2.389

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.