Literature DB >> 15761357

Comparison of current injury scales for survival chance estimation: an evaluation comparing the predictive performance of the ISS, NISS, and AP scores in a Dutch local trauma registration.

Sander P G Frankema1, Ewout W Steyerberg, Michael J R Edwards, Arie B van Vugt.   

Abstract

BACKGROUND: Prediction of survival chances for trauma patients is a basic requirement for evaluation of trauma care. The current methods are the Trauma and Injury Severity Score (TRISS) and A Severity Characterization of Trauma (ASCOT). Scales for scoring injury severity are part of these methods. This study compared three injury scales, the Injury Severity Score (ISS), the New ISS (NISS), and the Anatomic Profile (AP), in three otherwise identical predictive models.
METHODS: Records of the Rotterdam Trauma Center were analyzed using logistic regression. The variables used in the models were age (as a linear variable), the corrected Revised Trauma Score (RTS), a denominator for blunt or penetrating trauma, and one of the three injury scales. The original TRISS and ASCOT models also were evaluated. The resulting models were compared in terms of their discriminative power, as indicated by the receiver-operator characteristic (ROC), and calibration (Hosmer-Lemeshow [HL]) for the entire range of injury severity.
RESULTS: For this study, 1,102 patients, with an average ISS of 15, met the inclusion criteria. The TRISS and ASCOT models, using original coefficients, showed excellent discriminative power (ROC, 0.94 and 0.96, respectively), but insufficient fits (HL, p = 0.001 and p = 0.03, respectively). The three fitted models also had excellent discriminative abilities (ROC, 0.95, 0.97, and 0.96, respectively). The custom ISS model was unable to fit the entire range of survival chances sufficiently (p = 0.01). Models using the NISS and AP scales provided adequate fits to the actual survival chances of the population (HL, 0.32 and 0.12, respectively).
CONCLUSIONS: The AP and NISS scores particularly both managed to outperform the ISS score in correctly predicting survival chances among a Dutch trauma population. Trauma registries stratifying injuries by the ISS score should evaluate the use of the NISS and AP scores.

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Year:  2005        PMID: 15761357     DOI: 10.1097/01.ta.0000152551.39400.6f

Source DB:  PubMed          Journal:  J Trauma        ISSN: 0022-5282


  19 in total

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3.  Model for predicting the injury severity score.

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Journal:  Acute Med Surg       Date:  2014-11-07

4.  Comparisons of the Outcome Prediction Performance of Injury Severity Scoring Tools Using the Abbreviated Injury Scale 90 Update 98 (AIS 98) and 2005 Update 2008 (AIS 2008).

Authors:  Hideo Tohira; Ian Jacobs; David Mountain; Nick Gibson; Allen Yeo
Journal:  Ann Adv Automot Med       Date:  2011

5.  The role of trauma scoring in developing trauma clinical governance in the Defence Medical Services.

Authors:  R J Russell; T J Hodgetts; J McLeod; K Starkey; P Mahoney; K Harrison; E Bell
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-01-27       Impact factor: 6.237

6.  [Definition of polytrauma in the German DRG system 2006. Up to 30% "incorrect classifications"].

Authors:  S Flohé; C Buschmann; J Nabring; P Merguet; P Luetkes; R Lefering; D Nast-Kolb; S Ruchholtz
Journal:  Unfallchirurg       Date:  2007-07       Impact factor: 1.000

7.  The exponential function transforms the Abbreviated Injury Scale, which both improves accuracy and simplifies scoring.

Authors:  M D Wang; W H Fan; W S Qiu; Z L Zhang; Y N Mo; F Qiu
Journal:  Eur J Trauma Emerg Surg       Date:  2013-10-05       Impact factor: 3.693

8.  A novel fuzzy-logic inference system for predicting trauma-related mortality: emphasis on the impact of response to resuscitation.

Authors:  Yusuf Alper Kilic; Ali Konan; Kaya Yorganci; Iskender Sayek
Journal:  Eur J Trauma Emerg Surg       Date:  2010-03-17       Impact factor: 3.693

9.  The definition of major trauma using different revisions of the abbreviated injury scale.

Authors:  Jan C Van Ditshuizen; Charlie A Sewalt; Cameron S Palmer; Esther M M Van Lieshout; Michiel H J Verhofstad; Dennis Den Hartog
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2021-05-27       Impact factor: 2.953

Review 10.  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

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