Literature DB >> 26517786

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

Rachael A Callcut1, Michael W Cripps, Mary F Nelson, Amanda S Conroy, Bryce B R Robinson, Mitchell J Cohen.   

Abstract

BACKGROUND: Previous work proposed a Massive Transfusion Score (MTS) calculated from values obtained in the emergency department to predict likelihood of massive transfusion (MT). We hypothesized the MTS could be used at Hour 6 to differentiate who continues to require balanced resuscitation in Hours 7 to 24 and to predict death at 28 days.
METHODS: We prospectively enrolled patients in whom the MT protocol was initiated from 2005 to 2011. Data including timing of blood products were determined at Hours 0, 6, 12, and 24. For each patient, transfusion needs were defined based on either an inappropriately low hemoglobin response to transfusion or a hemoglobin decrease of greater than 1 g/dL if no transfusion. Timing and cause of death were used to account for survivor bias. Multivariate logistic regression was used to determine independent predictors of outcome.
RESULTS: A total of 190 MT protocol activations were included, and by Hour 6, 61% required 10 U or greater packed red blood cells. Calculated at initial presentation, a revised MTS (systolic blood pressure < 90 mm Hg, base deficit ≥ 6, temperature < 35.5°C, international normalized ratio > 1.5, hemoglobin < 11 g/dL) was superior to the original MTS (including heart rate ≥ 120 beats per minute, Focused Assessment With Sonography in Trauma [FAST] status, mechanism) or the Assessment of Blood Consumption (ABC) score for predicting MT (area under the curve [AUC] MT at 6 hours, 0.68; 95% confidence interval [CI], 0.57-0.79; at 24 hours, 0.72; 0.61-0.83; p < 0.05). For those alive at Hour 6, the revised MTS was predictive of future packed red blood cell need (AUC, 0.87) in Hours 7 to 12, 24-hour mortality (AUC, 0.95), and 28-day mortality (AUC, 0.77). For each additional positive trigger of the MTS at Hour 6, the odds of death at 24 hours and 28 days were substantially increased (24-hour odds ratio, 4.6; 95% CI, 2.3-9.3; 28-day odds ratio, 2.2; 95% CI, 1.5-3.2; p < 0.0001).
CONCLUSION: Early end points of resuscitation adopted from the components of the revised MTS are predictive of ongoing transfusion. Failure to normalize these components by Hour 6 portends a particularly poor prognosis. LEVEL OF EVIDENCE: Prognostic study, level 3.

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Mesh:

Year:  2016        PMID: 26517786      PMCID: PMC4767564          DOI: 10.1097/TA.0000000000000914

Source DB:  PubMed          Journal:  J Trauma Acute Care Surg        ISSN: 2163-0755            Impact factor:   3.313


  24 in total

1.  Emergency department blood transfusion predicts early massive transfusion and early blood component requirement.

Authors:  Timothy C Nunez; William D Dutton; Addison K May; John B Holcomb; Pampee P Young; Bryan A Cotton
Journal:  Transfusion       Date:  2010-09       Impact factor: 3.157

2.  Diagnostic accuracy of focused assessment with sonography for trauma (FAST) examinations performed by emergency medical technicians.

Authors:  Chu Hyun Kim; Sang Do Shin; Kyoung Jun Song; Chang Bae Park
Journal:  Prehosp Emerg Care       Date:  2012-03-02       Impact factor: 3.077

3.  'Time to TASH': how long does complete score calculation take to assess major trauma hemorrhage?

Authors:  Manuel Mutschler; Thomas Brockamp; Arasch Wafaisade; Alexandra Lipensky; Christian Probst; Bertil Bouillon; Marc Maegele
Journal:  Transfus Med       Date:  2013-11-28       Impact factor: 2.019

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.  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.  Predicting change of hemoglobin after transfusion in hemodynamically stable anemic patients in emergency department.

Authors:  Jae Hyuk Lee; Dong Hoon Kim; Kyuseok Kim; Joong Eui Rhee; Tae Youn Kim; You Hwan Jo; Jin Hee Lee; Gil Joon Suh; Seung Sik Hwang; Christopher C Lee; Adam J Singer
Journal:  J Trauma       Date:  2010-02

7.  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

8.  Preinjury beta blocker usage does not affect the heart rate response to initial trauma resuscitation.

Authors:  Joaquim M Havens; Cullen Carter; Xiangmei Gu; Selwyn O Rogers
Journal:  Int J Surg       Date:  2012-08-17       Impact factor: 6.071

9.  Exploration of prehospital vital sign trends for the prediction of trauma outcomes.

Authors:  Liangyou Chen; Andrew T Reisner; Andrei Gribok; Jaques Reifman
Journal:  Prehosp Emerg Care       Date:  2009 Jul-Sep       Impact factor: 3.077

10.  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

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  11 in total

1.  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

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

Authors:  Hunter B Moore; Ernest E Moore; Michael P Chapman; Benjamin R Huebner; Peter M Einersen; Solimon Oushy; Christopher C Silliman; Anirban Banerjee; Angela Sauaia
Journal:  J Am Coll Surg       Date:  2017-05-15       Impact factor: 6.113

3.  Detection of exhaled methane levels for monitoring trauma-related haemorrhage following blunt trauma: study protocol for a prospective observational study.

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Review 4.  Definition of hemodynamic stability in blunt trauma patients: a systematic review and assessment amongst Dutch trauma team members.

Authors:  S A I Loggers; T W A Koedam; G F Giannakopoulos; E Vandewalle; M Erwteman; W P Zuidema
Journal:  Eur J Trauma Emerg Surg       Date:  2016-11-30       Impact factor: 3.693

Review 5.  Massive transfusion triggers in severe trauma: Scoping review.

Authors:  Cristina Estebaranz-Santamaría; Ana María Palmar-Santos; Azucena Pedraz-Marcos
Journal:  Rev Lat Am Enfermagem       Date:  2018-11-29

6.  Shock index in patients with traumatic solid organ injury as a predictor of massive blood transfusion protocol activation.

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7.  High Interleukin-6 Plasma Concentration upon Admission Is Predictive of Massive Transfusion in Severely Injured Patients.

Authors:  Nadja Weichselbaum; Daniel Oberladstätter; Christoph J Schlimp; Johannes Zipperle; Wolfgang Voelckel; Oliver Grottke; Georg Zimmermann; Marcin Osuchowski; Herbert Schöchl
Journal:  J Clin Med       Date:  2021-05-24       Impact factor: 4.241

8.  Trauma Early Mortality Prediction Tool (TEMPT) for assessing 28-day mortality.

Authors:  Ryan C Kunitake; Lucy Z Kornblith; Mitchell Jay Cohen; Rachael A Callcut
Journal:  Trauma Surg Acute Care Open       Date:  2018-01-08

9.  The FASILA Score: A Novel Bio-Clinical Score to Predict Massive Blood Transfusion in Patients with Abdominal Trauma.

Authors:  Ayman El-Menyar; Husham Abdelrahman; Hassan Al-Thani; Ahammed Mekkodathil; Rajvir Singh; Sandro Rizoli
Journal:  World J Surg       Date:  2020-04       Impact factor: 3.352

10.  Which injured patients with moderate fibrinogen deficit need fibrinogen supplementation?

Authors:  Jean-Stephane David; Aline Lambert; Xavier-Jean Taverna; Pascal Incagnoli; Marie-Odile Geay-Baillat; Olivia Vassal; Arnaud Friggeri; Kenji Inaba
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2021-12-24       Impact factor: 2.953

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