Literature DB >> 32826809

Thrombin Generation Kinetics are Predictive of Rapid Transfusion in Trauma Patients Meeting Critical Administration Threshold.

Taleen A MacArthur1, Grant M Spears2, Rosemary A Kozar3, Jing-Fei Dong4, Matthew Auton5, Donald H Jenkins6, Kent R Bailey2, Aneel A Ashrani7, Mike J Ferrara1, Joseph M Immermann1, Timothy M Halling5, Myung S Park1,8.   

Abstract

INTRODUCTION: We hypothesize that a patient (pt) with accelerated thrombin generation, time to peak height (ttPeak), will have a greater odds of meeting critical administration threshold (CAT) criteria (> 3 packed red blood cell [pRBC] transfusions [Tx] per 60 min interval), within the first 24 h after injury, independent of international normalized ratio (INR).
METHODS: In a prospective cohort study, trauma patients were enrolled over a 4.5-year period and serial blood samples collected at various time points. We retrospectively stratified pts into three categories: CAT+, CAT- but receiving some pRBC Tx, receiving no Tx within the first 24 h. Blood collected prior to Tx was analyzed for thrombin generation parameters and prothrombin time (PT)/INR.
RESULTS: A total of 484 trauma pts were analyzed: injury severity score = 13 [7,22], age = 48 [28, 64] years, and 73% male. Fifty pts met criteria for CAT+, 64 pts CAT-, and 370 received no Tx. Risk factors for meeting CAT+: decreased arrival systolic blood pressure (OR 2.82 [2.17, 3.67]), increased INR (OR 2.09, [1.66, 2.62]) and decreased time to peak OR 2.27 [1.74, 2.95]). These variables remained independently associated with increased risk of requiring Tx in a multivariable logistic model, after adjusting for sex and trauma type.
CONCLUSIONS: Pts in hemorrhagic shock, who meet CAT+ criteria, are characterized by accelerated thrombin generation. In our multivariable analysis, both ttPeak and PT/INR have a complementary role in predicting those injured patients who will require a high rate of Tx.
Copyright © 2020 by the Shock Society.

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Year:  2021        PMID: 32826809      PMCID: PMC7970628          DOI: 10.1097/SHK.0000000000001633

Source DB:  PubMed          Journal:  Shock        ISSN: 1073-2322            Impact factor:   3.533


  24 in total

Review 1.  Phenotyping the haemostatic system by thrombography--potential for the estimation of thrombotic risk.

Authors:  Véronique Regnault; H Coenraad Hemker; Denis Wahl; Thomas Lecompte
Journal:  Thromb Res       Date:  2004       Impact factor: 3.944

Review 2.  Early identification of uncontrolled hemorrhage after trauma: current status and future direction.

Authors:  Stacy A Shackelford; Katharine Colton; Lynn G Stansbury; Samuel M Galvagno; Amechi N Anazodo; Joseph J DuBose; John R Hess; Colin F Mackenzie
Journal:  J Trauma Acute Care Surg       Date:  2014-09       Impact factor: 3.313

3.  Clinical gestalt and the prediction of massive transfusion after trauma.

Authors:  Matthew J Pommerening; Michael D Goodman; John B Holcomb; Charles E Wade; Erin E Fox; Deborah J Del Junco; Karen J Brasel; Eileen M Bulger; Mitch J Cohen; Louis H Alarcon; Martin A Schreiber; John G Myers; Herb A Phelan; Peter Muskat; Mohammad Rahbar; Bryan A Cotton
Journal:  Injury       Date:  2015-02-04       Impact factor: 2.586

Review 4.  Thrombin generation, a function test of the haemostatic-thrombotic system.

Authors:  H Coenraad Hemker; Raed Al Dieri; Erik De Smedt; Suzette Béguin
Journal:  Thromb Haemost       Date:  2006-11       Impact factor: 5.249

5.  Thrombin generation and procoagulant microparticle profiles after acute trauma: A prospective cohort study.

Authors:  Myung S Park; Ailing Xue; Grant M Spears; Timothy M Halling; Michael J Ferrara; Melissa M Kuntz; Sabtir K Dhillon; Donald H Jenkins; William S Harmsen; Karla V Ballman; Paul Harrison; John A Heit
Journal:  J Trauma Acute Care Surg       Date:  2015-11       Impact factor: 3.313

6.  Predicting blood transfusion using automated analysis of pulse oximetry signals and laboratory values.

Authors:  Stacy Shackelford; Shiming Yang; Peter Hu; Catriona Miller; Amechi Anazodo; Samuel Galvagno; Yulei Wang; Lauren Hartsky; Raymond Fang; Colin Mackenzie
Journal:  J Trauma Acute Care Surg       Date:  2015-10       Impact factor: 3.313

7.  The prospective, observational, multicenter, major trauma transfusion (PROMMTT) study: comparative effectiveness of a time-varying treatment with competing risks.

Authors:  John B Holcomb; Deborah J del Junco; Erin E Fox; Charles E Wade; Mitchell J Cohen; Martin A Schreiber; Louis H Alarcon; Yu Bai; Karen J Brasel; Eileen M Bulger; Bryan A Cotton; Nena Matijevic; Peter Muskat; John G Myers; Herb A Phelan; Christopher E White; Jiajie Zhang; Mohammad H Rahbar
Journal:  JAMA Surg       Date:  2013-02       Impact factor: 14.766

Review 8.  Advances in the understanding of trauma-induced coagulopathy.

Authors:  Ronald Chang; Jessica C Cardenas; Charles E Wade; John B Holcomb
Journal:  Blood       Date:  2016-07-05       Impact factor: 22.113

9.  Comparison of massive blood transfusion predictive models in the rural setting.

Authors:  Nicole J Krumrei; Myung S Park; Bryan A Cotton; Martin D Zielinski
Journal:  J Trauma Acute Care Surg       Date:  2012-01       Impact factor: 3.697

10.  Fibrinogen and base excess levels as predictive markers of the need for massive blood transfusion after blunt trauma.

Authors:  Takehiro Umemura; Yoshihiko Nakamura; Takeshi Nishida; Kota Hoshino; Hiroyasu Ishikura
Journal:  Surg Today       Date:  2015-11-03       Impact factor: 2.549

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  1 in total

1.  Exploring the utility of a novel point-of-care whole blood thrombin generation assay following trauma: A pilot study.

Authors:  Michael J Ferrara; Taleen A MacArthur; Saulius Butenas; Kenneth G Mann; Joseph M Immermann; Grant M Spears; Kent R Bailey; Rosemary A Kozar; Stephanie F Heller; Erica A Loomis; Daniel Stephens; Myung S Park
Journal:  Res Pract Thromb Haemost       Date:  2021-03-08
  1 in total

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