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

被引:36
|
作者
Sewalt, C. A. [1 ]
Venema, E. [1 ,2 ]
Wiegers, E. J. A. [1 ]
Lecky, F. E. [7 ,8 ]
Schuit, S. C. E. [3 ,4 ]
den Hartog, D. [5 ]
Steyerberg, E. W. [1 ,6 ]
Lingsma, H. F. [1 ]
机构
[1] Erasmus MC, Univ Med Ctr, Dept Publ Hlth, Rotterdam, Netherlands
[2] Erasmus MC, Univ Med Ctr, Dept Neurol, Rotterdam, Netherlands
[3] Erasmus MC, Univ Med Ctr, Dept Emergency Med, Rotterdam, Netherlands
[4] Erasmus MC, Univ Med Ctr, Dept Internal Med, Rotterdam, Netherlands
[5] Erasmus MC, Univ Med Ctr, Dept Surg, Trauma Res Unit, Rotterdam, Netherlands
[6] Leiden Univ, Med Ctr, Dept Biomed Data Sci, Leiden, Netherlands
[7] Univ Sheffield, Salford Royal NHS Fdn Trust, Sch Hlth & Related Res, Sheffield, S Yorkshire, England
[8] Univ Manchester, Trauma Audit & Res Network, Salford, Lancs, England
关键词
INJURY SEVERITY SCORE; FIELD TRIAGE; PREDICTING MORTALITY; MULTIPLE TRAUMA; IMPUTATION; SCALE; CARE; TOOL;
D O I
10.1002/bjs.11304
中图分类号
R61 [外科手术学];
学科分类号
摘要
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 center dot 602 (95 per cent c.i. 0 center dot 596 to 0 center dot 608) for the Mechanism, Glasgow Coma Scale, Age and Arterial Pressure model to 0 center dot 793 (0 center dot 789 to 0 center dot 797) for the modified Rapid Emergency Medicine Score (mREMS) in predicting in-hospital mortality (11 882 patients). Major trauma was identified in 52 818 patients, with discrimination from a C-statistic value of 0 center dot 589 (0 center dot 586 to 0 center dot 592) for mREMS to 0 center dot 735 (0 center dot 733 to 0 center dot 737) for the Kampala Trauma Score in predicting major trauma. None of the prediction models met acceptable undertriage and overtriage rates. Conclusion Currently available prehospital trauma models perform reasonably in predicting in-hospital mortality, but are inadequate in identifying patients with major trauma. Future research should focus on which patients would benefit from treatment in a major trauma centre.
引用
收藏
页码:373 / 380
页数:8
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