Literature DB >> 31037353

Early prediction of acute traumatic coagulopathy: a validation of the COAST score using the German Trauma Registry.

Sophie Thorn1,2, Rolf Lefering3, Marc Maegele3,4, Russell L Gruen5, Biswadev Mitra6,7.   

Abstract

BACKGROUND: Early identification of trauma patients at risk of developing acute traumatic coagulopathy (ATC) is important for initiating appropriate, coagulopathy-focused treatment. A clinical ATC prediction tool is a quick, simple method to evaluate risk. The COAST score was developed and validated in Australia but is yet to be validated on a European population. We validated the ability of the COAST score to predict coagulopathy and adverse bleeding-related outcomes on a large European trauma population.
METHODS: The COAST score was modified and applied to a retrospective cohort of trauma patients from the German Trauma Registry (TR-DGU). The primary outcome was coagulopathy defined as INR > 1.5 or aPTT > 60 s. Secondary outcomes were massive transfusion, blood product requirements, urgent surgery and mortality. The cohort included adult trauma patients with Injury Severity Score > 15 treated in Germany/Austria in 2012-2016.
RESULTS: 15,370 cases were included, of which 10.9% were coagulopathic. The COAST score performed with sensitivity 21.6% and specificity 94.2% at a threshold of COAST ≥ 3. The AUROC was 0.625 (95% CI 0.61-0.64). The COAST score also identified patients who had more massive transfusions (15.3% v 1.6%), more emergency surgery (49.6% v 28.2%), and higher early (21.7% v 5.4%) and total in-hospital mortality (38.1% v 14.5%).
CONCLUSION: This large retrospective study demonstrated that the modified COAST score predicts coagulopathy with low sensitivity but high specificity. A positive COAST score identified a group of patients with bleeding-related adverse outcomes. This score appears adequate to act as an inclusion criterion for clinical trials targeting ATC.

Entities:  

Keywords:  Acute traumatic coagulopathy; Bleeding; Blood coagulation disorders; Prediction model; Prediction score; Trauma

Year:  2019        PMID: 31037353     DOI: 10.1007/s00068-019-01142-0

Source DB:  PubMed          Journal:  Eur J Trauma Emerg Surg        ISSN: 1863-9933            Impact factor:   3.693


  1 in total

1.  Prehospital prediction of the severity of blunt anatomic injury.

Authors:  Stephen A Mulholland; Peter A Cameron; Belinda J Gabbe; Owen D Williamson; Keith Young; Karen L Smith; Stephen A Bernard
Journal:  J Trauma       Date:  2008-03
  1 in total
  3 in total

Review 1.  Trauma-induced coagulopathy.

Authors:  Ernest E Moore; Hunter B Moore; Lucy Z Kornblith; Matthew D Neal; Maureane Hoffman; Nicola J Mutch; Herbert Schöchl; Beverley J Hunt; Angela Sauaia
Journal:  Nat Rev Dis Primers       Date:  2021-04-29       Impact factor: 65.038

2.  Protocol for a multicentre prehospital randomised controlled trial investigating tranexamic acid in severe trauma: the PATCH-Trauma trial.

Authors:  Biswadev Mitra; Stephen Bernard; Dashiell Gantner; Brian Burns; Michael C Reade; Lynnette Murray; Tony Trapani; Veronica Pitt; Colin McArthur; Andrew Forbes; Marc Maegele; Russell L Gruen
Journal:  BMJ Open       Date:  2021-03-15       Impact factor: 2.692

3.  The impact of prehospital tranexamic acid on mortality and transfusion requirements: match-pair analysis from the nationwide German TraumaRegister DGU®.

Authors:  Sebastian Imach; Arasch Wafaisade; Rolf Lefering; Andreas Böhmer; Mark Schieren; Victor Suárez; Matthias Fröhlich
Journal:  Crit Care       Date:  2021-08-04       Impact factor: 9.097

  3 in total

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