Literature DB >> 22670126

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

Marc Maegele1, Thomas Brockamp, Ulrike Nienaber, Christian Probst, Herbert Schoechl, Klaus Görlinger, Philip Spinella.   

Abstract

BACKGROUND: Despite improvements on how to resuscitate exsanguinating patients, one remaining key to improve outcome is to expeditiously and reproducibly identify patients most likely to require transfusion including massive transfusion (MT). This work summarizes yet developed algorithms/scoring systems for transfusion including MT in civilian and military trauma populations.
METHODS: A systematic search of evidence was conducted utilizing OVID/MEDLINE (1966 to present) and the 'Medical Algorithms Project'. RESULTS AND
CONCLUSIONS: The models developed suggest combinations of physiologic, hemodynamic, laboratory, injury severity and demographic triggers identified on the initial evaluation of the bleeding trauma patient. Many approaches use a combination of dichotomous variables readily accessible after arrival but others rely on time-consuming calculations or complex algorithms and may have limited real-time application. Weighted and more sophisticated systems including higher numbers of variables perform superior. A common limitation to all models is their retrospective nature, and prospective validations are urgently needed. Point-of-care viscoelastic testing may be an alternative to these systems.

Entities:  

Year:  2012        PMID: 22670126      PMCID: PMC3364090          DOI: 10.1159/000337243

Source DB:  PubMed          Journal:  Transfus Med Hemother        ISSN: 1660-3796            Impact factor:   3.747


  53 in total

Review 1.  Damage control resuscitation.

Authors:  John B Holcomb
Journal:  J Trauma       Date:  2007-06

2.  Prediction of mortality and of the need for massive transfusion in casualties arriving at combat support hospitals in Iraq.

Authors:  Leopoldo C Cancio; Charles E Wade; Susan A West; John B Holcomb
Journal:  J Trauma       Date:  2008-02

3.  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

4.  Early risk stratification of patients with major trauma requiring massive blood transfusion.

Authors:  Timothy H Rainer; Anthony M-H Ho; Janice H H Yeung; Nai Kwong Cheung; Raymond S M Wong; Ning Tang; Siu Keung Ng; George K C Wong; Paul B S Lai; Colin A Graham
Journal:  Resuscitation       Date:  2011-04-01       Impact factor: 5.262

5.  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

6.  Prospective identification of patients at risk for massive transfusion: an imprecise endeavor.

Authors:  Marianne J Vandromme; Russell L Griffin; Gerald McGwin; Jordan A Weinberg; Loring W Rue; Jeffrey D Kerby
Journal:  Am Surg       Date:  2011-02       Impact factor: 0.688

7.  The ratio of blood products transfused affects mortality in patients receiving massive transfusions at a combat support hospital.

Authors:  Matthew A Borgman; Philip C Spinella; Jeremy G Perkins; Kurt W Grathwohl; Thomas Repine; Alec C Beekley; James Sebesta; Donald Jenkins; Charles E Wade; John B Holcomb
Journal:  J Trauma       Date:  2007-10

Review 8.  The coagulopathy of trauma: a review of mechanisms.

Authors:  John R Hess; Karim Brohi; Richard P Dutton; Carl J Hauser; John B Holcomb; Yoram Kluger; Kevin Mackway-Jones; Michael J Parr; Sandro B Rizoli; Tetsuo Yukioka; David B Hoyt; Bertil Bouillon
Journal:  J Trauma       Date:  2008-10

9.  Hypotension begins at 110 mm Hg: redefining "hypotension" with data.

Authors:  Brian J Eastridge; Jose Salinas; John G McManus; Lorne Blackburn; Eileen M Bugler; William H Cooke; Victor A Convertino; Victor A Concertino; Charles E Wade; John B Holcomb
Journal:  J Trauma       Date:  2007-08

10.  Epidemiology of trauma deaths: a reassessment.

Authors:  A Sauaia; F A Moore; E E Moore; K S Moser; R Brennan; R A Read; P T Pons
Journal:  J Trauma       Date:  1995-02
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  15 in total

1.  Patient Blood Management: Clinical Hemotherapy and Hemostasis Management in Perioperative Settings.

Authors:  Klaus Görlinger; Peter Schlenke
Journal:  Transfus Med Hemother       Date:  2012-04       Impact factor: 3.747

Review 2.  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

3.  Clinical presentation and blood gas analysis of multiple trauma patients for prediction of standard coagulation parameters at emergency department arrival.

Authors:  P Hilbert-Carius; G O Hofmann; R Lefering; R Stuttmann; M F Struck
Journal:  Anaesthesist       Date:  2016-04-08       Impact factor: 1.041

4.  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

5.  External validation of a smartphone app model to predict the need for massive transfusion using five different definitions.

Authors:  E I Hodgman; M W Cripps; M J Mina; E M Bulger; M A Schreiber; K J Brasel; M J Cohen; P Muskat; J G Myers; L H Alarcon; M H Rahbar; J B Holcomb; B A Cotton; E E Fox; D J Del Junco; C E Wade; H A Phelan
Journal:  J Trauma Acute Care Surg       Date:  2018-02       Impact factor: 3.313

6.  [Trauma bay haemoglobin level. Predictor of coagulation disorder in major trauma].

Authors:  P Hilbert; G O Hofmann; R Lefering; M F Struck
Journal:  Unfallchirurg       Date:  2015-07       Impact factor: 1.000

7.  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

8.  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

9.  Algorithm for activation of coagulation support treatment in multiple injured patients--cohort study.

Authors:  D Brilej; D Stropnik; R Lefering; R Komadina
Journal:  Eur J Trauma Emerg Surg       Date:  2016-09-22       Impact factor: 3.693

10.  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

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