Literature DB >> 20735809

Revalidation and update of the TASH-Score: a scoring system to predict the probability for massive transfusion as a surrogate for life-threatening haemorrhage after severe injury.

M Maegele1, R Lefering, A Wafaisade, P Theodorou, S Wutzler, P Fischer, B Bouillon, T Paffrath.   

Abstract

BACKGROUND: The Trauma Associated Severe Haemorrhage (TASH)-Score has been recognized as an easy-to-calculate scoring system to predict the probability for massive transfusion (MT) as a surrogate for life-threatening haemorrhage after injury. Changes with respect to management and outcome of these patients over time prompted a revalidation and an update of the TASH-Score.
METHODS: The performance of the TASH-Score developed from the 1993-2003 TR-DGU database (Trauma Registry Deutsche Gesellschaft für Unfallchirurgie/German Trauma Society) was revalidated on 5834 datasets from the 2004-2007 TR-DGU database with respect to discrimination, precision and calibration. The performance of the TASH-Score applied onto the 2004-2007 TR-DGU database was compared to its initial performance, and the logistic function to calculate the probability for MT was modified for score adjustment. RESULTS/
CONCLUSIONS: When the original TASH-Score was applied onto the 2004-2007 TR-DGU database, a slight increase in discrimination was observed while precision was considerably lower. The predicted rate for MT within the development dataset was 13·9% while the observed incidence was 14·1%. In contrast, the predicted rate for MT within the revalidation dataset was 11·7%, while the observed rate was 8·4%. The logistic function to calculate MT probability was modified, and the TASH-Score was again evaluated against the most recent TR-DGU 2004-2007 database. The high performance of the score was not only restored but enhanced reflected by an increased ROC/AUC of 0·905. The score can be calculated quickly upon arrival of the patient in the emergency department and may be supportive to correct coagulopathy, to activate logistics and for research.
© 2010 The Author(s). Vox Sanguinis © 2010 International Society of Blood Transfusion.

Entities:  

Mesh:

Year:  2010        PMID: 20735809     DOI: 10.1111/j.1423-0410.2010.01387.x

Source DB:  PubMed          Journal:  Vox Sang        ISSN: 0042-9007            Impact factor:   2.144


  31 in total

Review 1.  Protocols for massive blood transfusion: when and why, and potential complications.

Authors:  E Guerado; A Medina; M I Mata; J M Galvan; M L Bertrand
Journal:  Eur J Trauma Emerg Surg       Date:  2015-12-09       Impact factor: 3.693

Review 2.  [The TraumaRegister DGU® dataset, its development over 25 years and advances in the care of severely injured patients].

Authors:  H Trentzsch; M Maegele; U Nienaber; T Paffrath; R Lefering
Journal:  Unfallchirurg       Date:  2018-10       Impact factor: 1.000

Review 3.  [Treatment of severely injured patients : Impact of the German Trauma Registry DGU®].

Authors:  B Bouillon; R Lefering; T Paffrath; J Sturm; R Hoffmann
Journal:  Unfallchirurg       Date:  2016-06       Impact factor: 1.000

4.  External validation of a smartphone app model to predict the need for massive transfusion using five different definitions.

Authors:  E I Hodgman; M W Cripps; M J Mina; E M Bulger; M A Schreiber; K J Brasel; M J Cohen; P Muskat; J G Myers; L H Alarcon; M H Rahbar; J B Holcomb; B A Cotton; E E Fox; D J Del Junco; C E Wade; H A Phelan
Journal:  J Trauma Acute Care Surg       Date:  2018-02       Impact factor: 3.313

5.  Increased long-term mortality with plasma transfusion after coronary artery bypass surgery.

Authors:  Henrik Bjursten; Alain Dardashti; Per Ederoth; Björn Brondén; Lars Algotsson
Journal:  Intensive Care Med       Date:  2012-10-10       Impact factor: 17.440

6.  Defining when to initiate massive transfusion: a validation study of individual massive transfusion triggers in PROMMTT patients.

Authors:  Rachael A Callcut; Bryan A Cotton; Peter Muskat; Erin E Fox; Charles E Wade; John B Holcomb; Martin A Schreiber; Mohammad H Rahbar; Mitchell J Cohen; M Margaret Knudson; Karen J Brasel; Eileen M Bulger; Deborah J Del Junco; John G Myers; Louis H Alarcon; Bryce R H Robinson
Journal:  J Trauma Acute Care Surg       Date:  2013-01       Impact factor: 3.313

7.  Viscoelastic Tissue Plasminogen Activator Challenge Predicts Massive Transfusion in 15 Minutes.

Authors:  Hunter B Moore; Ernest E Moore; Michael P Chapman; Benjamin R Huebner; Peter M Einersen; Solimon Oushy; Christopher C Silliman; Anirban Banerjee; Angela Sauaia
Journal:  J Am Coll Surg       Date:  2017-05-15       Impact factor: 6.113

8.  [Coagulation management of trauma patients with unstabile circulation : establishment of a hemoglobin-oriented standard operating procedure].

Authors:  P Hilbert; G O Hofmann; K zur Nieden; J Teichmann; J Jakubetz; R Stuttmann
Journal:  Anaesthesist       Date:  2012-08       Impact factor: 1.041

9.  A latent class model for defining severe hemorrhage: experience from the PROMMTT study.

Authors:  Mohammad H Rahbar; Deborah J del Junco; Hanwen Huang; Jing Ning; Erin E Fox; Xuan Zhang; Martin A Schreiber; Karen J Brasel; Eileen M Bulger; Charles E Wade; Bryan A Cotton; Herb A Phelan; Mitchell J Cohen; John G Myers; Louis H Alarcon; Peter Muskat; John B Holcomb
Journal:  J Trauma Acute Care Surg       Date:  2013-07       Impact factor: 3.313

10.  The impact of missing trauma data on predicting massive transfusion.

Authors:  Amber W Trickey; Erin E Fox; Deborah J del Junco; Jing Ning; John B Holcomb; Karen J Brasel; Mitchell J Cohen; Martin A Schreiber; Eileen M Bulger; Herb A Phelan; Louis H Alarcon; John G Myers; Peter Muskat; Bryan A Cotton; Charles E Wade; Mohammad H Rahbar
Journal:  J Trauma Acute Care Surg       Date:  2013-07       Impact factor: 3.313

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