TY  - JOUR
PY  - 2012//
TI  - Predicting on-going hemorrhage and transfusion requirement after severe trauma: a validation of six scoring systems and algorithms on the TraumaRegister DGU(R)
JO  - Critical care : the Official Journal of the Critical Care Forum
A1  - Brockamp, Thomas
A1  - Nienaber, Ulrike
A1  - Mutschler, Manuel
A1  - Wafaisade, Arasch
A1  - Peiniger, Sigune
A1  - Lefering, Rolf
A1  - Bouillon, Bertil
A1  - Maegele, Marc
A1  - Dgu, Traumaregister
SP  - R129
EP  - R129
VL  - 16
IS  - 4
N2  - INTRODUCTION: The early aggressive management of the acute coagulopathy of trauma may improve survival in the trauma population. However, the timely identification of lethal exsanguination remains challenging. This study validated six scoring systems and algorithms to stratify patients for the risk of ongoing hemorrhage and massive transfusion at a very early stage after trauma on one single dataset of severely injured patients derived from the TR-DGU (TraumaRegister DGU(R) of the German Trauma Society (DGU)) database. METHODS: Retrospective internal and external validation of six scoring systems and algorithms (four civilian and two military systems) to predict the risk of ongoing hemorrhage and massive transfusion at a very early stage after trauma on one single dataset of severely injured patients derived from the TR-DGU database (2002-2010). Scoring systems and algorithms assessed were: TASH (Trauma-Associated Severe Hemorrhage) score, PWH (Prince of Wales Hospital/Rainer) score, Vandromme score, ABC (Assessment of Blood Consumption/Nunez) score, Schreiber score and Larsen score. Data from 56,573 patients were screened to extract one complete dataset matching all variables needed to calculate all systems assessed in this study. Scores were applied and area-under-the-receiver-operating-characteristic curves (AUROCs) were calculated. From the AUROC curves the cut-off with the best relation of sensitivity-to-specificity was used to recalculate sensitivity, specificity, positive predictive values (PPV), and negative predictive values (NPV). RESULTS: A total of 5,147 patients with blunt trauma (95%) was extracted from the TR-DGU. The mean age of patients was 45.7 +/- 19.3 years with a mean ISS of 24.3 +/- 13.2. The overall MT rate was 5.6 % (n= 289). 95% (n=4,889) patients had sustained a blunt trauma. The TASH score had the highest overall accuracy as reflected by an AUROC of 0.889 followed by the PWH-Score (0.860). At the defined cut-off values for each score the highest sensitivity was observed for the Schreiber score (85.8%) but also the lowest specificity (61.7%). The TASH score at a cut-off [greater than or equal to] 8.5 showed a sensitivity of 84.4% and also a high specificity (78.4%). The PWH score had a lower sensitivity (80.6%) with comparable specificity. The Larson score showed the lowest sensitivity (70.9%) at a specificity of 80.4%. CONCLUSIONS: Weighted and more sophisticated systems such as TASH and PWH scores including higher numbers of variables perform superior over simple non-weighted models. Prospective validations are needed to improve the development process and use of scoring systems in the future. Key words: trauma-hemorrhage, score, prediction, massive transfusion.<p />  <p>Language: en</p>
LA  - en
SN  - 1364-8535
UR  - http://dx.doi.org/10.1186/cc11432
ID  - ref1
ER  -