• Kamil Hanna, Charles Harris, Marc D Trust, Andrew Bernard, Carlos Brown, Mohammad Hamidi, and Bellal Joseph.
• Division of Trauma, Critical Care, Emergency Surgery, and Burns, Department of Surgery, College of Medicine, University of Arizona, 1501 N. Campbell Ave, Room 5411, P.O. Box 245063, Tucson, AZ, 85724, USA.
• World J Surg. 2020 Jun 1; 44 (6): 1807-1816.

BackgroundMassive 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.MethodsWe 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.ResultsWe 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.ConclusionThe 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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