Abstract
Background
Massive transfusion (MT) is a lifesaving treatment for hemorrhaging patients. Predicting the need for MT is crucial to improve survival. The aim of our study was to validate the Revised Assessment of Bleeding and Transfusion (RABT) score to predict MT in a multicenter cohort of trauma patients.
Methods
We performed a (2015–2017) analysis of adult (age ≥ 18 year) trauma patients who had a high-level trauma team activation at three Level I trauma centers. The RABT was calculated using the 4-point score [blunt (0)/penetrating trauma (1), shock index ≥ 1 (1), pelvic fracture (1), and FAST positive (1)]. A RABT score of ≥ 2 was used to predict MT (≥ 10 units of packed red blood cells within 24 h). The area under the receiver operating characteristic curve (AUROC) was calculated to assess the score’s predictive power compared to the Assessment of Blood Consumption (ABC) score.
Results
We analyzed 1018 patients: 216 (facility I), 363 (facility II), and 439 (facility III). The mean age was 41 ± 19 year, and the injury severity score (ISS) was 29 [22–36]. The overall MT rate was 19%. The overall AUROC of RABT ≥ 2 was 0.89. The sensitivity of the RABT ≥ 2 was 78%, and the specificity was 91%. The RABT score had a higher sensitivity (78% vs. 69%) and specificity (91% vs. 82%) than the ABC score.
Conclusion
The RABT score is a valid tool to predict MT in severely injured trauma patients. It is an objective score that aids clinicians in predicting the need for MT to mobilize blood products and minimize the waste of resources.
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References
Brasel KJ (2017) Epidemiology. In: Moore EE, Feliciano DV, Mattox KL (eds) Trauma, 8e. McGraw-Hill Education, New York
Cothren Burlew C, Moore EE (2019) Trauma. In: Brunicardi FC, Andersen DK, Billiar TR et al (eds) Schwartz’s Principles of Surgery, 11e. McGraw-Hill Education, New York
Kenneth DK, Sherry L, Jiaquan Xu BS, Betzaida Tejada-Vera MD (2014) Web-based injury statistics query and reporting system (WISQARS) Nonfatal injury data, Atlanta, GA, Centers for Disease Control and Prevention
Rhee P, Joseph B, Pandit V et al (2014) Increasing trauma deaths in the United States. Ann Surg 260:13–21
Kauvar DS, Lefering R, Wade CE (2006) Impact of hemorrhage on trauma outcome: an overview of epidemiology, clinical presentations, and therapeutic considerations. J Trauma Acute Care Surg 60:S3–S11
Holcomb JB, Tilley BC, Baraniuk S et al (2015) Transfusion of plasma, platelets, and red blood cells in a 1: 1: 1 vs a 1: 1: 2 ratio and mortality in patients with severe trauma: the PROPPR randomized clinical trial. JAMA 313:471–482
Holcomb JB, Jenkins D, Rhee P et al (2007) Damage control resuscitation: directly addressing the early coagulopathy of trauma. J Trauma Acute Care Surg 62:307–310
Riskin DJ, Tsai TC, Riskin L et al (2009) Massive transfusion protocols: the role of aggressive resuscitation versus product ratio in mortality reduction. J Am Coll Surg 209:198–205
Yücel N, Lefering R, Maegele M et al (2006) Trauma associated severe hemorrhage (TASH)-Score: probability of mass transfusion as surrogate for life threatening hemorrhage after multiple trauma. J Trauma Acute Care Surg 60:1228–1237
McLaughlin DF, Niles SE, Salinas J et al (2008) A predictive model for massive transfusion in combat casualty patients. J Trauma Acute Care Surg 64:S57–S63
Callcut RA, Cotton BA, Muskat P et al (2013) Defining when to initiate massive transfusion [MT]: a validation study of individual massive transfusion triggers in PROMMTT patients. J Trauma Acute Care Surg 74:59
Nunez TC, Voskresensky IV, Dossett LA et al (2009) Early prediction of massive transfusion in trauma: simple as ABC (assessment of blood consumption)? J Trauma Acute Care Surg 66:346–352
Cotton BA, Dossett LA, Haut ER et al (2010) Multicenter validation of a simplified score to predict massive transfusion in trauma. J Trauma Acute Care Surg 69:S33–S39
Joseph B, Khan M, Truitt M et al (2018) Massive transfusion: the Revised Assessment of Bleeding and Transfusion (RABT) score. World J Surg 42:3560–3567. https://doi.org/10.1007/s00268-018-4674-y
Schroll R, Swift D, Tatum D et al (2018) Accuracy of shock index versus ABC score to predict need for massive transfusion in trauma patients. Injury 49:15–19
Cannon JW (2018) Hemorrhagic shock. N Engl J Med 378:370–379
Hoyt DB, Bulger EM, Knudson MM et al (1994) Death in the operating room: an analysis of a multi-center experience. J Trauma 37:426–432
Hess JR, Zimrin AB (2005) Massive blood transfusion for trauma. Curr Opin Hematol 12:488–492
Demetriades D, Karaiskakis M, Toutouzas K et al (2002) Pelvic fractures: epidemiology and predictors of associated abdominal injuries and outcomes. J Am Coll Surg 195:1–10
Stahel PF, Burlew CC, Moore EE (2017) Current trends in the management of hemodynamically unstable pelvic ring injuries. Current Opin Crit Care 23:511–519
Manson T, O’Toole RV, Whitney A et al (2010) Young-Burgess classification of pelvic ring fractures: does it predict mortality, transfusion requirements, and non-orthopaedic injuries? J Orthop Trauma 24:603–609
Mutschler M, Nienaber U, Münzberg M et al (2013) The Shock Index revisited: a fast guide to transfusion requirement? A retrospective analysis on 21,853 patients derived from the TraumaRegister DGU®. Crit Care 17:R172
Sohn CH, Kim WY, Kim SR et al (2013) An increase in initial shock index is associated with the requirement for massive transfusion in emergency department patients with primary postpartum hemorrhage. Shock 40:101–105
Olaussen A, Blackburn T, Mitra B et al (2014) Shock Index for prediction of critical bleeding post-trauma: a systematic review. Emerg Med Australasia 26:223–228
Zarzaur BL, Croce MA, Fischer PE et al (2008) New vitals after injury: shock index for the young and age × shock index for the old. J Surg Res 147:229–236
Rau C-S, Wu S-C, Kuo S et al (2016) Prediction of massive transfusion in trauma patients with shock index, modified shock index, and age shock index. Int J Environ Res Public Health 13:683
Olaussen A, Peterson EL, Mitra B et al (2015) Massive transfusion prediction with inclusion of the pre-hospital Shock Index. Injury 46:822–826
Vandromme MJ, Griffin RL, Kerby JD et al (2011) Identifying risk for massive transfusion in the relatively normotensive patient: utility of the prehospital shock index. J Trauma Acute Care Surg 70:384–390
Pommerening MJ, Goodman MD, Holcomb JB et al (2015) Clinical gestalt and the prediction of massive transfusion after trauma. Injury 46:807–813
Motameni AT, Hodge RA, McKinley WI et al (2018) The use of ABC score in activation of massive transfusion: the yin and the yang. J Trauma Acute Care Surg 85:298–302
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The authors have no financial or proprietary interest in the subject matter or materials discussed in the manuscript. The appropriate institutions’ research ethics committees approved the study. Informed consent was waived.
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Hanna, K., Harris, C., Trust, M.D. et al. Multicenter Validation of the Revised Assessment of Bleeding and Transfusion (RABT) Score for Predicting Massive Transfusion. World J Surg 44, 1807–1816 (2020). https://doi.org/10.1007/s00268-020-05394-5
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DOI: https://doi.org/10.1007/s00268-020-05394-5