Literature DB >> 19384227

Emergency trauma score: an instrument for early estimation of trauma severity.

Marcus R Raum1, Maarten W N Nijsten, Mathijs Vogelzang, Frank Schuring, Rolf Lefering, Bertil Bouillon, Dieter Rixen, Edmund A M Neugebauer, Henk J Ten Duis.   

Abstract

OBJECTIVES: Early estimation of the mortality risk of severely injured patients is mandatory. To estimate the seriousness of the condition of patients with trauma, we developed the emergency trauma score (EMTRAS) for ease of use, with simple parameters that are available within 30 minutes.
DESIGN: Prospective analysis of the German Trauma Registry of multitrauma patients.
SETTING: EMTRAS was derived from data from 1993 through 2003. Potential parameters that were prognostic for mortality in univariate analysis were evaluated by multivariate binary logistic regression. Selected parameters were then assigned a subscore that varied from 0 to 3. The EMTRAS score was a simple addition of these subscores. EMTRAS was compared with other scores' receiver operating characteristic curves. After completion, EMTRAS was validated in patients from 2004 and 2005. PATIENTS: A total of 11,533 patients were to be used for developing the score and 3314 patients for validating it. MAIN
RESULTS: The strongest predictors of mortality were age, prehospital Glasgow Coma Scale, base excess (mmol/L), and prothrombin time (% of reference). These parameters were categorized in subscores of 0 through 3. Age: <40, 40 through 60, 61 through 75, and >75 scored 0, 1, 2, and 3, respectively. Glasgow Coma Scale: 13 through 15, 10 through 12, 6 through 9, and 3 through 5 scored 0, 1, 2, and 3, respectively. Base excess: >-1, -5 through -1, -10 through -5.1, and <-10 scored 0, 1, 2, and 3, respectively. Prothrombin time: <80%, 80% through 50%, 49% through 20%, and >20% received a score of 0, 1, 2, and 3, respectively. In the validation dataset, the area under the receiver operating characteristic curve for EMTRAS was 0.828.
CONCLUSIONS: EMTRAS combines four early parameters from the emergency room and accurately predicts mortality. Knowledge of the anatomical injuries is not necessary. The determination of the EMTRAS will inform caregivers of the seriousness of patients with trauma at an early stage.

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Year:  2009        PMID: 19384227     DOI: 10.1097/CCM.0b013e31819fe96a

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  21 in total

1.  [Trauma bay haemoglobin level. Predictor of coagulation disorder in major trauma].

Authors:  P Hilbert; G O Hofmann; R Lefering; M F Struck
Journal:  Unfallchirurg       Date:  2015-07       Impact factor: 1.000

2.  CK/CK-MB ratio as an indirect predictor for survival in polytraumatized patients.

Authors:  Florian M Kovar; Silke Aldrian; Georg Endler; Vilmos Vécsei; Stefan Hajdu; Thomas Heinz; Oswald F Wagner
Journal:  Wien Klin Wochenschr       Date:  2012-04-17       Impact factor: 1.704

3.  Predicting on-going hemorrhage and transfusion requirement after severe trauma: a validation of six scoring systems and algorithms on the TraumaRegister DGU.

Authors:  Thomas Brockamp; Ulrike Nienaber; Manuel Mutschler; Arasch Wafaisade; Sigune Peiniger; Rolf Lefering; Bertil Bouillon; Marc Maegele
Journal:  Crit Care       Date:  2012-07-20       Impact factor: 9.097

4.  Advances in prehospital trauma care.

Authors:  Kelvin Williamson; Ramaiah Ramesh; Andreas Grabinsky
Journal:  Int J Crit Illn Inj Sci       Date:  2011-01

5.  Revised trauma scoring system to predict in-hospital mortality in the emergency department: Glasgow Coma Scale, Age, and Systolic Blood Pressure score.

Authors:  Yutaka Kondo; Toshikazu Abe; Kiyotaka Kohshi; Yasuharu Tokuda; E Francis Cook; Ichiro Kukita
Journal:  Crit Care       Date:  2011-08-10       Impact factor: 9.097

6.  Renaissance of base deficit for the initial assessment of trauma patients: a base deficit-based classification for hypovolemic shock developed on data from 16,305 patients derived from the TraumaRegister DGU®.

Authors:  Manuel Mutschler; Ulrike Nienaber; Thomas Brockamp; Arasch Wafaisade; Tobias Fabian; Thomas Paffrath; Bertil Bouillon; Marc Maegele
Journal:  Crit Care       Date:  2013-03-06       Impact factor: 9.097

7.  Advanced accident research system based on a medical and engineering data in the metropolitan area of Florence.

Authors:  Simone Piantini; David Grassi; Marco Mangini; Marco Pierini; Giovanni Zagli; Rosario Spina; Adriano Peris
Journal:  BMC Emerg Med       Date:  2013-03-14

Review 8.  Systematic review of predictive performance of injury severity scoring tools.

Authors:  Hideo Tohira; Ian Jacobs; David Mountain; Nick Gibson; Allen Yeo
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2012-09-10       Impact factor: 2.953

9.  Comparison of the predictive performance of the BIG, TRISS, and PS09 score in an adult trauma population derived from multiple international trauma registries.

Authors:  Thomas Brockamp; Marc Maegele; Christine Gaarder; J Carel Goslings; Mitchell J Cohen; Rolf Lefering; Pieter Joosse; Paal A Naess; Nils O Skaga; Tahnee Groat; Simon Eaglestone; Matthew A Borgman; Philip C Spinella; Martin A Schreiber; Karim Brohi
Journal:  Crit Care       Date:  2013-07-11       Impact factor: 9.097

10.  Improvement of prognostic performance in severely injured patients by integrated clinico-transcriptomics: a translational approach.

Authors:  Daniel Rittirsch; Veit Schoenborn; Sandro Lindig; Elisabeth Wanner; Kai Sprengel; Sebastian Günkel; Barbara Schaarschmidt; Sonja Märsmann; Hans-Peter Simmen; Paolo Cinelli; Michael Bauer; Ralf A Claus; Guido A Wanner
Journal:  Crit Care       Date:  2015-11-26       Impact factor: 9.097

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