Unknown

Dataset Information

0

Computational model of tranexamic acid on urokinase mediated fibrinolysis.


ABSTRACT: Understanding the coagulation process is critical to developing treatments for trauma and coagulopathies. Clinical studies on tranexamic acid (TXA) have resulted in mixed reports on its efficacy in improving outcomes in trauma patients. The largest study, CRASH-2, reported that TXA improved outcomes in patients who received treatment prior to 3 hours after the injury, but worsened outcomes in patients who received treatment after 3 hours. No consensus has been reached about the mechanism behind the duality of these results. In this paper we use a computational model for coagulation and fibrinolysis to propose that deficiencies or depletions of key anti-fibrinolytic proteins, specifically antiplasmin, a1-antitrypsin and a2-macroglobulin, can lead to worsened outcomes through urokinase-mediated hyperfibrinolysis.

SUBMITTER: Wu TB 

PROVIDER: S-EPMC7250412 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

altmetric image

Publications

Computational model of tranexamic acid on urokinase mediated fibrinolysis.

Wu Tie Bo TB   Orfeo Thomas T   Moore Hunter B HB   Sumislawski Joshua J JJ   Cohen Mitchell J MJ   Petzold Linda R LR  

PloS one 20200526 5


Understanding the coagulation process is critical to developing treatments for trauma and coagulopathies. Clinical studies on tranexamic acid (TXA) have resulted in mixed reports on its efficacy in improving outcomes in trauma patients. The largest study, CRASH-2, reported that TXA improved outcomes in patients who received treatment prior to 3 hours after the injury, but worsened outcomes in patients who received treatment after 3 hours. No consensus has been reached about the mechanism behind  ...[more]

Similar Datasets

| S-EPMC6365258 | biostudies-literature
| S-EPMC4550424 | biostudies-literature
| S-EPMC6639982 | biostudies-literature
| S-EPMC6171555 | biostudies-literature
| S-EPMC6334274 | biostudies-literature
2011-05-03 | GSE29028 | GEO
| S-EPMC5351844 | biostudies-literature
| S-EPMC7852217 | biostudies-literature
| S-EPMC5478311 | biostudies-literature
2022-09-14 | GSE207642 | GEO