Literature DB >> 21610387

All massive transfusion criteria are not created equal: defining the predictive value of individual transfusion triggers to better determine who benefits from blood.

Rachael A Callcut1, Jay A Johannigman, Kurt S Kadon, Dennis J Hanseman, Bryce R H Robinson.   

Abstract

BACKGROUND: As familiarity with military massive transfusion (MT) triggers has increased, there is a growing interest in applying these in the civilian population to initiate MT protocols (MTP) earlier. We hypothesize that these triggers do not have equal predictability for MT and understanding the contribution of each would improve our ability to initiate the MTP earlier.
METHODS: All patients presenting to a Level I trauma center from October 2007 to September 2008 requiring immediate operation were included in this study. Emergency department records, operative logs, and blood transfusion data from arrival to procedure end were analyzed using multivariate regression techniques. Triggers included systolic blood pressure (SBP) <90 mm Hg, hemoglobin <11 g/dL, temperature <35.5°C, International normalized ratio (INR) >1.5, and base deficit ≥6.
RESULTS: One hundred seventy patients required immediate operation with an overall survival of 91%. Transfusion of packed red blood cells was noted in 45% (77 of 170) with the mean number of transfused units highest in those meeting SBP (12.9 Units) or INR (12.3 Units) triggers. The triggers do not contribute equal predictive value for the need for transfusion with INR being the most predictive (odds ratio, 16.7; 95% confidence interval, 2-137) for any transfusion and highly predictive for the need for MT (odds ratio, 11.3; 95% confidence interval, 3-47). In fact, if patients met either INR or SBP triggers alone, they were likely to receive MT (p = 0.018 and 0.003, respectively).
CONCLUSION: Triggers have differential predictive values for need for transfusion. Defining the individual utility of each criterion will help to identify those most likely to benefit from an early initiation of the MTP.

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Year:  2011        PMID: 21610387     DOI: 10.1097/TA.0b013e3182127e40

Source DB:  PubMed          Journal:  J Trauma        ISSN: 0022-5282


  18 in total

Review 1.  Protocols for massive blood transfusion: when and why, and potential complications.

Authors:  E Guerado; A Medina; M I Mata; J M Galvan; M L Bertrand
Journal:  Eur J Trauma Emerg Surg       Date:  2015-12-09       Impact factor: 3.693

2.  The Massive Transfusion Score as a decision aid for resuscitation: Learning when to turn the massive transfusion protocol on and off.

Authors:  Rachael A Callcut; Michael W Cripps; Mary F Nelson; Amanda S Conroy; Bryce B R Robinson; Mitchell J Cohen
Journal:  J Trauma Acute Care Surg       Date:  2016-03       Impact factor: 3.313

3.  A simple predictive formula for the blood requirement in patients with high-energy blunt injuries transferred within one hour post-trauma.

Authors:  Yukio Akasaki; Hiroshi Sugimori; Kenta Momii; Tomohiko Akahoshi; Suguru Matsuura; Yukihide Iwamoto; Yoshihiko Maehara; Makoto Hashizume
Journal:  Acute Med Surg       Date:  2014-10-20

4.  Defining when to initiate massive transfusion: a validation study of individual massive transfusion triggers in PROMMTT patients.

Authors:  Rachael A Callcut; Bryan A Cotton; Peter Muskat; Erin E Fox; Charles E Wade; John B Holcomb; Martin A Schreiber; Mohammad H Rahbar; Mitchell J Cohen; M Margaret Knudson; Karen J Brasel; Eileen M Bulger; Deborah J Del Junco; John G Myers; Louis H Alarcon; Bryce R H Robinson
Journal:  J Trauma Acute Care Surg       Date:  2013-01       Impact factor: 3.313

5.  Implementation of a military-derived damage-control resuscitation strategy in a civilian trauma center decreases acute hypoxia in massively transfused patients.

Authors:  Eric M Campion; Timothy A Pritts; Warren C Dorlac; Anjelica Q Nguyen; Sara M Fraley; Dennis Hanseman; Bryce R H Robinson
Journal:  J Trauma Acute Care Surg       Date:  2013-08       Impact factor: 3.313

6.  Recursive partitioning identifies greater than 4 U of packed red blood cells per hour as an improved massive transfusion definition.

Authors:  Alexis Marika Moren; David Hamptom; Brian Diggs; Laszlo Kiraly; Erin E Fox; John B Holcomb; Mohammad Hossein Rahbar; Karen J Brasel; Mitchell Jay Cohen; Eileen M Bulger; Martin A Schreiber
Journal:  J Trauma Acute Care Surg       Date:  2015-12       Impact factor: 3.313

7.  Massive Transfusion: The Revised Assessment of Bleeding and Transfusion (RABT) Score.

Authors:  Bellal Joseph; Muhammad Khan; Michael Truitt; Faisal Jehan; Narong Kulvatunyou; Asad Azim; Arpana Jain; Muhammad Zeeshan; Andrew Tang; Terence O'Keeffe
Journal:  World J Surg       Date:  2018-11       Impact factor: 3.352

8.  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

9.  Predictive Models and Algorithms for the Need of Transfusion Including Massive Transfusion in Severely Injured Patients.

Authors:  Marc Maegele; Thomas Brockamp; Ulrike Nienaber; Christian Probst; Herbert Schoechl; Klaus Görlinger; Philip Spinella
Journal:  Transfus Med Hemother       Date:  2012-03-08       Impact factor: 3.747

10.  Application of the Berlin definition in PROMMTT patients: the impact of resuscitation on the incidence of hypoxemia.

Authors:  Bryce R H Robinson; Bryan A Cotton; Timothy A Pritts; Richard Branson; John B Holcomb; Peter Muskat; Erin E Fox; Charles E Wade; Deborah J del Junco; Eileen M Bulger; Mitchell J Cohen; Martin A Schreiber; John G Myers; Karen J Brasel; Herbert A Phelan; Louis H Alarcon; Mohammad H Rahbar; Rachael A Callcut
Journal:  J Trauma Acute Care Surg       Date:  2013-07       Impact factor: 3.313

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