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Trauma models to identify major trauma and mortality in the prehospital setting

Authors :
Sewalt, C.A. (Charlie)
Venema, E. (Esmee)
Wiegers-Groeneweg, E.J.A. (Eveline)
Lecky, F.E. (Fiona)
Klein Nagelvoort-Schuit, S.C.E. (Stephanie)
Hartog, D. (Dennis) den
Steyerberg, E.W. (Ewout)
Lingsma, H.F. (Hester)
Sewalt, C.A. (Charlie)
Venema, E. (Esmee)
Wiegers-Groeneweg, E.J.A. (Eveline)
Lecky, F.E. (Fiona)
Klein Nagelvoort-Schuit, S.C.E. (Stephanie)
Hartog, D. (Dennis) den
Steyerberg, E.W. (Ewout)
Lingsma, H.F. (Hester)
Publication Year :
2019

Abstract

Background: Patients with major trauma might benefit from treatment in a trauma centre, but early identification of major trauma (Injury Severity Score (ISS) over 15) remains difficult. The aim of this study was to undertake an external validation of existing prognostic models for injured patients to assess their ability to predict mortality and major trauma in the prehospital setting. Methods: Prognostic models were identified through a systematic literature search up to October 2017. Injured patients transported by Emergency Medical Services to an English hospital from the Trauma Audit and Research Network between 2013 and 2016 were included. Outcome measures were major trauma (ISS over 15) and in-hospital mortality. The performance of the models was assessed in terms of discrimination (concordance index, C-statistic) and net benefit to assess the clinical usefulness. Results: A total of 154 476 patients were included to validate six previously proposed prediction models. Discriminative ability ranged from a C-statistic value of 0·602 (95 per cent c.i. 0·596 to 0·608) for the Mechanism, Glasgow Coma Scale, Age and Arterial

Details

Database :
OAIster
Notes :
application/pdf, British Journal of Surgery, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1121176875
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1002.bjs.11304