Literature DB >> 28522144

Viscoelastic Tissue Plasminogen Activator Challenge Predicts Massive Transfusion in 15 Minutes.

Hunter B Moore1, Ernest E Moore2, Michael P Chapman3, Benjamin R Huebner3, Peter M Einersen3, Solimon Oushy3, Christopher C Silliman4, Anirban Banerjee3, Angela Sauaia5.   

Abstract

BACKGROUND: Coagulopathy is associated with massive transfusion in trauma, yet most clinical scores to predict this end point do not incorporate coagulation assays. Previous work has identified that shock increases circulating tissue plasminogen activator (tPA). When tPA levels saturate endogenous inhibitors, systemic hyperfibrinolysis can occur. Therefore, the addition of tPA to a patient's blood sample could stratify a patients underlying degree of shock and early coagulation changes to predict progression to massive transfusion. We hypothesized that a modified thrombelastography (TEG) assay with exogenous tPA would unmask patients' impending risk for massive transfusion. STUDY
DESIGN: Trauma activations were analyzed using rapid TEG and a modified TEG assay with a low and high dose of tPA. Clinical scores (shock index, assessment of blood consumption, and trauma-associated severe hemorrhage) were compared with TEG measurements to predict the need for massive transfusion using areas under the receiver operating characteristic curves.
RESULTS: Three hundred and twenty-four patients were analyzed, 17% required massive transfusion. Massive transfusion patients had a median shock index of 1.2, assessment of blood consumption score of 1, and trauma-associated severe hemorrhage score of 12. Rapid TEG and tPA TEG parameters were significantly different in all massive transfusion patients compared with non-massive transfusion patients (all p < 0.02). The low-dose tPA lysis at 30 minutes had the largest the area under the receiver operating characteristic curve (0.86; 95% CI 0.79 to 0.93) for prediction of massive transfusion, similar to international normalized ratio of prothrombin time of 0.86 (95% CI 0.81 to 0.91), followed by trauma-associated severe hemorrhage score (0.83; 95% CI 0.77 to 0.89). Combing trauma-associated severe hemorrhage and tPA-TEG variables results in a positive prediction of massive transfusion in 49% of patients with a 98% negative predictive value.
CONCLUSIONS: The tPA-TEG identifies trauma patients who require massive transfusion efficiently in a single assay that can be completed in a shorter time than other scoring systems, which has improved performance when combined with international normalized ratio. This new method is consistent with our understanding of the molecular events responsible for trauma-induced coagulopathy.
Copyright © 2017 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28522144      PMCID: PMC5527680          DOI: 10.1016/j.jamcollsurg.2017.02.018

Source DB:  PubMed          Journal:  J Am Coll Surg        ISSN: 1072-7515            Impact factor:   6.113


  39 in total

1.  Rapid thrombelastography delivers real-time results that predict transfusion within 1 hour of admission.

Authors:  Bryan A Cotton; Gabriel Faz; Quinton M Hatch; Zayde A Radwan; Jeanette Podbielski; Charles Wade; Rosemary A Kozar; John B Holcomb
Journal:  J Trauma       Date:  2011-08

2.  Trauma Associated Severe Hemorrhage (TASH)-Score: probability of mass transfusion as surrogate for life threatening hemorrhage after multiple trauma.

Authors:  Nedim Yücel; Rolf Lefering; Marc Maegele; Matthias Vorweg; Thorsten Tjardes; Steffen Ruchholtz; Edmund A M Neugebauer; Frank Wappler; Bertil Bouillon; Dieter Rixen
Journal:  J Trauma       Date:  2006-06

3.  All the bang without the bucks: Defining essential point-of-care testing for traumatic coagulopathy.

Authors:  Michael D Goodman; Amy T Makley; Dennis J Hanseman; Timothy A Pritts; Bryce R H Robinson
Journal:  J Trauma Acute Care Surg       Date:  2015-07       Impact factor: 3.313

4.  Acute traumatic coagulopathy: initiated by hypoperfusion: modulated through the protein C pathway?

Authors:  Karim Brohi; Mitchell J Cohen; Michael T Ganter; Michael A Matthay; Robert C Mackersie; Jean-François Pittet
Journal:  Ann Surg       Date:  2007-05       Impact factor: 12.969

5.  Let technology do the work: Improving prediction of massive transfusion with the aid of a smartphone application.

Authors:  Michael Joseph Mina; Anne M Winkler; Christopher J Dente
Journal:  J Trauma Acute Care Surg       Date:  2013-10       Impact factor: 3.313

6.  Unreliability of blood pressure and heart rate to evaluate cardiac output in emergency resuscitation and critical illness.

Authors:  C C Wo; W C Shoemaker; P L Appel; M H Bishop; H B Kram; E Hardin
Journal:  Crit Care Med       Date:  1993-02       Impact factor: 7.598

7.  Elucidating the clinical characteristics of patients captured using different definitions of massive transfusion.

Authors:  A J Zatta; Z K McQuilten; B Mitra; D J Roxby; R Sinha; S Whitehead; S Dunkley; S Kelleher; C Hurn; P A Cameron; J P Isbister; E M Wood; L E Phillips
Journal:  Vox Sang       Date:  2014-04-02       Impact factor: 2.144

8.  Overwhelming tPA release, not PAI-1 degradation, is responsible for hyperfibrinolysis in severely injured trauma patients.

Authors:  Michael P Chapman; Ernest E Moore; Hunter B Moore; Eduardo Gonzalez; Fabia Gamboni; James G Chandler; Sanchayita Mitra; Arsen Ghasabyan; Theresa L Chin; Angela Sauaia; Anirban Banerjee; Christopher C Silliman
Journal:  J Trauma Acute Care Surg       Date:  2016-01       Impact factor: 3.313

9.  Predicting on-going hemorrhage and transfusion requirement after severe trauma: a validation of six scoring systems and algorithms on the TraumaRegister DGU.

Authors:  Thomas Brockamp; Ulrike Nienaber; Manuel Mutschler; Arasch Wafaisade; Sigune Peiniger; Rolf Lefering; Bertil Bouillon; Marc Maegele
Journal:  Crit Care       Date:  2012-07-20       Impact factor: 9.097

10.  Relationship between Obesity and Massive Transfusion Needs in Trauma Patients, and Validation of TASH Score in Obese Population: A Retrospective Study on 910 Trauma Patients.

Authors:  Audrey De Jong; Pauline Deras; Orianne Martinez; Pascal Latry; Samir Jaber; Xavier Capdevila; Jonathan Charbit
Journal:  PLoS One       Date:  2016-03-24       Impact factor: 3.240

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  10 in total

1.  Variability in international normalized ratio and activated partial thromboplastin time after injury are not explained by coagulation factor deficits.

Authors:  Gregory R Stettler; Ernest E Moore; Hunter B Moore; Geoffrey R Nunns; Julia R Coleman; Arthur Colvis; Arsen Ghasabyan; Mitchell J Cohen; Christopher C Silliman; Anirban Banerjee; Angela Sauaia
Journal:  J Trauma Acute Care Surg       Date:  2019-09       Impact factor: 3.313

2.  Redefining postinjury fibrinolysis phenotypes using two viscoelastic assays.

Authors:  Gregory R Stettler; Ernest E Moore; Hunter B Moore; Geoffrey R Nunns; Christopher C Silliman; Anirban Banerjee; Angela Sauaia
Journal:  J Trauma Acute Care Surg       Date:  2019-04       Impact factor: 3.313

Review 3.  Fibrinolysis in trauma: a review.

Authors:  M J Madurska; K A Sachse; J O Jansen; T E Rasmussen; J J Morrison
Journal:  Eur J Trauma Emerg Surg       Date:  2017-09-16       Impact factor: 3.693

4.  Prospective assessment of fibrinolysis in morbid obesity: tissue plasminogen activator resistance improves after bariatric surgery.

Authors:  Jason Samuels; Peter J Lawson; Alexander P Morton; Hunter B Moore; Kirk C Hansen; Angela Sauaia; Jonathan A Schoen
Journal:  Surg Obes Relat Dis       Date:  2019-04-10       Impact factor: 4.734

5.  Citrated kaolin thrombelastography (TEG) thresholds for goal-directed therapy in injured patients receiving massive transfusion.

Authors:  Gregory R Stettler; Joshua J Sumislawski; Ernest E Moore; Geoffrey R Nunns; Lucy Z Kornblith; Amanda S Conroy; Rachael A Callcut; Christopher C Silliman; Anirban Banerjee; Mitchell J Cohen; Angela Sauaia
Journal:  J Trauma Acute Care Surg       Date:  2018-10       Impact factor: 3.313

6.  The α-globin chain of hemoglobin potentiates tissue plasminogen activator induced hyperfibrinolysis in vitro.

Authors:  Alexander P Morton; Jamie B Hadley; Arsen Ghasabyan; Marguerite R Kelher; Ernest E Moore; Shaun Bevers; Monika Dzieciatkowska; Kirk C Hansen; Mitchell S Cohen; Anirban Banerjee; Christopher C Silliman
Journal:  J Trauma Acute Care Surg       Date:  2022-01-01       Impact factor: 3.697

7.  Systemic hyperfibrinolysis after trauma: a pilot study of targeted proteomic analysis of superposed mechanisms in patient plasma.

Authors:  Anirban Banerjee; Christopher C Silliman; Ernest E Moore; Monika Dzieciatkowska; Marguerite Kelher; Angela Sauaia; Kenneth Jones; Michael P Chapman; Eduardo Gonzalez; Hunter B Moore; Angelo D'Alessandro; Erik Peltz; Benjamin E Huebner; Peter Einerson; James Chandler; Arsen Ghasabayan; Kirk Hansen
Journal:  J Trauma Acute Care Surg       Date:  2018-06       Impact factor: 3.313

8.  Microfluidics contrasted to thrombelastography: perplexities in defining hypercoagulability.

Authors:  Peter J Lawson; Hunter B Moore; Ernest E Moore; Mark E Gerich; Gregory R Stettler; Anirban Banerjee; Richard D Schulick; Trevor L Nydam
Journal:  J Surg Res       Date:  2018-06-08       Impact factor: 2.192

Review 9.  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

10.  The use of thromboelastography to assess post-operative changes in coagulation and predict graft function in renal transplantation.

Authors:  Carson B Walker; Hunter B Moore; Trevor L Nydam; Alexander C Schulick; Hillary Yaffe; James J Pomposelli; Michael Wachs; Thomas Bak; Kendra Conzen; Megan Adams; Thomas Pshak; Rashikh Choudhury; Michael P Chapman; Elizabeth A Pomfret; Peter Kennealey
Journal:  Am J Surg       Date:  2020-08-27       Impact factor: 2.565

  10 in total

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