It performed better than the Assessments of Blood Consumption (ABC) Score and other nonweighted scores for predicting transfusion requirements (Brockamp 2012).
Why to Use
Providers may wait too long to begin massive transfusion, thus increasing a patient's morbidity and mortality by not transfusing early enough, or they may increase a patient's morbidity (including sepsis, acute respiratory distress syndrome, etc) and mortality by transfusing blood products unnecessarily.
When to Use
Use the TASH Score to determine when to initiate massive transfusion protocols on trauma patients.
Graham Walker, MD
Rachel Kwon, MD
The TASH Score was derived and validated from a database of over 35,000 patients in the trauma registry of the German Trauma Society (TR-DGU) to predict the need for massive transfusion.
Maegele et al revalidated the TASH Score on 5834 datasets from the 2004 to 2007 TR-DGU database with respect to discrimination, precision, and calibration. In comparing the score’s performance here to its initial performance, the performance of the score was enhanced, reflected by an increased receiver operating characteristic curve/area under the curve ratio of 0.905.
The studies described above almost exclusively involved blunt trauma patients. Subramanian et al conducted a retrospective analysis of all trauma cases registered at the JPNA Trauma Centre (a Level I trauma center) in New Delhi, India, including both blunt and penetrating trauma. The TASH Score had the highest diagnostic accuracy (57.1%) compared to other prediction models, including the Emergency Transfusion Score (22.8%) and the ABC Score (13.1%).
The number of variables required to calculate the TASH Score, relative to other prediction models, has been seen as another limitation. However, a prospective analysis by Mutschler et al concluded that the mean time to complete the TASH Score calculation in a cohort of trauma patients was within 8 minutes of arrival at the emergency department, which is similar to other prediction scores.
Nedim Yücel, MD
Copyright © MDCalc • Reprinted with permission.
Jeremy B. Richards, MD, MA; Susan R. Wilcox, MD
March 2, 2014