Literature DB >> 23271078

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

Rachael A Callcut1, 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.   

Abstract

BACKGROUND: Early predictors of massive transfusion (MT) would prevent undertriage of patients likely to require MT. This study validates triggers using the Prospective Observational Multicenter Major Trauma Transfusion (PROMMTT) study.
METHODS: All enrolled patients in PROMMTT were analyzed. The initial emergency department value for each trigger (international normalized ratio [INR], systolic blood pressure, hemoglobin, base deficit, positive result for Focused Assessment for the Sonography of Trauma examination, heart rate, temperature, and penetrating injury mechanism) was compared for patients receiving MT (≥ 10 U of packed red blood cells in 24 hours) versus no MT. Adjusted odds ratios (ORs) for MT are reported using multiple logistic regression. If all triggers were known, a Massive Transfusion Score (MTS) was created, with 1 point assigned for each met trigger.
RESULTS: A total of 1,245 patients were prospectively enrolled with 297 receiving an MT. Data were available for all triggers in 66% of the patients including 67% of the MTs (199 of 297). INR was known in 87% (1,081 of 1,245). All triggers except penetrating injury mechanism and heart rate were valid individual predictors of MT, with INR as the most predictive (adjusted OR, 2.5; 95% confidence interval, 1.7-3.7). For those with all triggers known, a positive INR trigger was seen in 49% receiving MT. Patients with an MTS of less than 2 were unlikely to receive MT (negative predictive value, 89%). If any two triggers were present (MTS ≥ 2), sensitivity for predicting MT was 85%. MT was present in 33% with an MTS of 2 greater compared with 11% of those with MTS of less than 2 (OR, 3.9; 95% confidence interval, 2.6-5.8; p < 0.0005).
CONCLUSION: Parameters that can be obtained early in the initial emergency department evaluation are valid predictors for determining the likelihood of MT. LEVEL OF EVIDENCE: Diagnostic, level II.

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Year:  2013        PMID: 23271078      PMCID: PMC3771339          DOI: 10.1097/TA.0b013e3182788b34

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


  25 in total

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Journal:  J Trauma       Date:  2011-08

2.  Room for (performance) improvement: provider-related factors associated with poor outcomes in massive transfusion.

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3.  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
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4.  Trauma Associated Severe Hemorrhage (TASH)-Score: probability of mass transfusion as surrogate for life threatening hemorrhage after multiple trauma.

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

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6.  A high ratio of plasma and platelets to packed red blood cells in the first 6 hours of massive transfusion improves outcomes in a large multicenter study.

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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
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8.  Increased plasma and platelet to red blood cell ratios improves outcome in 466 massively transfused civilian trauma patients.

Authors:  John B Holcomb; Charles E Wade; Joel E Michalek; Gary B Chisholm; Lee Ann Zarzabal; Martin A Schreiber; Ernest A Gonzalez; Gregory J Pomper; Jeremy G Perkins; Phillip C Spinella; Kari L Williams; Myung S Park
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Authors:  Martin A Schreiber; Jeremy Perkins; Laszlo Kiraly; Samantha Underwood; Charles Wade; John B Holcomb
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10.  Trauma fatalities: time and location of hospital deaths.

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Journal:  J Am Coll Surg       Date:  2004-01       Impact factor: 6.113

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Journal:  J Trauma Acute Care Surg       Date:  2016-03       Impact factor: 3.313

3.  Trauma-Induced Coagulopathy.

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4.  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
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5.  Multicenter Validation of the Revised Assessment of Bleeding and Transfusion (RABT) Score for Predicting Massive Transfusion.

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7.  All the bang without the bucks: Defining essential point-of-care testing for traumatic coagulopathy.

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8.  Seven deadly sins in trauma outcomes research: an epidemiologic post mortem for major causes of bias.

Authors:  Deborah J del Junco; Erin E Fox; Elizabeth A Camp; Mohammad H Rahbar; John B Holcomb
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9.  Statistical Machines for Trauma Hospital Outcomes Research: Application to the PRospective, Observational, Multi-Center Major Trauma Transfusion (PROMMTT) Study.

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Journal:  PLoS One       Date:  2015-08-21       Impact factor: 3.240

10.  Outcomes after ultramassive transfusion in the modern era: An Eastern Association for the Surgery of Trauma multicenter study.

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