Literature DB >> 20622617

Multicenter validation of a simplified score to predict massive transfusion in trauma.

Bryan A Cotton1, Lesly A Dossett, Elliott R Haut, Shahid Shafi, Timothy C Nunez, Brigham K Au, Victor Zaydfudim, Marla Johnston, Patrick Arbogast, Pampee P Young.   

Abstract

BACKGROUND: Several studies have described predictive models to identify trauma patients who require massive transfusion (MT). Early identification of lethal exsanguination may improve survival in this patient population. The purpose of the current study was to validate a simplified score to predict MT at multiple Level I trauma centers.
METHODS: All adult trauma patients treated at three Level I trauma centers from July 2006 to June 2007 who (1) were transported directly from the scene, (2) were trauma activations, and (3) received any blood transfusions during admission were included. Assessment of Blood Consumption (ABC) score developed using the same inclusion criteria for patients admitted to a single trauma center (Vanderbilt University Medical Center [VUMC]-1) between July 2005 and June 2006. ABC score calculated by assigning a value (0 or 1) to each of the four parameters: penetrating mechanism, positive focused assessment with sonography for trauma for fluid, arrival blood pressure <90 mm Hg, and arrival pulse >120 bpm. A score of 2 was used as "positive" to predict MT. Area under receiver-operating characteristic curve was calculated to compare the predictive ability of the score at each institution.
RESULTS: There were 586 patients in the developmental (VUMC-1), 513 patients at trauma center 1 (VUMC-2), 372 at trauma center 2 (PMH), and 133 at trauma center 3 (Johns Hopkins Hospital). MT rate was similar between centers: 14% to 15%. Sensitivity and specificity for the ABC score predicting MT ranged from 75% to 90% and 67% to 88%, respectively. Correctly classified patients and area under receiver-operating characteristic curve, however, were 84% to 87% and 0.83 to 0.90, respectively.
CONCLUSIONS: The ABC score is a valid instrument to predict MT early in the patient's care and across various demographically diverse trauma centers. Future research should focus on this score's ability to prospectively identify patients who will receive MT.

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Year:  2010        PMID: 20622617     DOI: 10.1097/TA.0b013e3181e42411

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


  44 in total

1.  Empiric transfusion strategies during life-threatening hemorrhage.

Authors:  Geoffrey R Nunns; Ernest E Moore; Gregory R Stettler; Hunter B Moore; Arsen Ghasabyan; Mitchell Cohen; Benjamin R Huebner; Christopher C Silliman; Anirban Banerjee; Angela Sauaia
Journal:  Surgery       Date:  2018-04-27       Impact factor: 3.982

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.  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

Review 4.  Optimal Fluid Therapy for Traumatic Hemorrhagic Shock.

Authors:  Ronald Chang; John B Holcomb
Journal:  Crit Care Clin       Date:  2017-01       Impact factor: 3.598

5.  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

6.  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

7.  Multicenter Validation of the Revised Assessment of Bleeding and Transfusion (RABT) Score for Predicting Massive Transfusion.

Authors:  Kamil Hanna; Charles Harris; Marc D Trust; Andrew Bernard; Carlos Brown; Mohammad Hamidi; Bellal Joseph
Journal:  World J Surg       Date:  2020-06       Impact factor: 3.352

8.  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

9.  A pediatric massive transfusion protocol.

Authors:  Sara J Chidester; Nick Williams; Wei Wang; Jonathan I Groner
Journal:  J Trauma Acute Care Surg       Date:  2012-11       Impact factor: 3.313

10.  Pragmatic Randomized Optimal Platelet and Plasma Ratios (PROPPR) Trial: design, rationale and implementation.

Authors:  Sarah Baraniuk; Barbara C Tilley; Deborah J del Junco; Erin E Fox; Gerald van Belle; Charles E Wade; Jeanette M Podbielski; Angela M Beeler; John R Hess; Eileen M Bulger; Martin A Schreiber; Kenji Inaba; Timothy C Fabian; Jeffrey D Kerby; Mitchell Jay Cohen; Christopher N Miller; Sandro Rizoli; Thomas M Scalea; Terence O'Keeffe; Karen J Brasel; Bryan A Cotton; Peter Muskat; John B Holcomb
Journal:  Injury       Date:  2014-06-10       Impact factor: 2.586

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