...
【24h】

A comparison study of the injury score models

机译:伤害评分模型的比较研究

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Background: A central component to the statistical analysis of trauma care is the probability of survival model, which predicts outcome of the trauma event taking into account various anatomical and physiological factors. One of the key input information to the survival model is the injury score which forms the cornerstone of trauma epidemiology. There are many scoring systems currently in use, and the Injury Severity Score (ISS) as the anatomical component of the injury in the probability of survival model is a widely used one. This paper examines the possibility of representing the anatomical component of the trauma using different injury severity scoring methods described in the literature. Material and methods: The dataset used consists of 75,371 cases from the Trauma Audit and Research Network (TARN). TARN regroups 110 hospitals in the UK and it is the largest European trauma registry. Various limitations of ISS have been described in the literature and an investigation into other scoring methods,which could be calculated from the available data, was proposed. Using the available database, the alternative injury scoring methods can be calculated and their use within a Trauma score and Injury Severity Score (TRISS) probability of survival model is assessed. Results: The current score performs reasonably well, but there is some improvement in calibration associated with introducing a score, which takes into account body-region locations of all injuries. Urban & Vogel.
机译:背景:创伤护理统计分析的一个重要组成部分是生存模型,该模型考虑了各种解剖和生理因素,可以预测创伤事件的结果。生存模型的关键输入信息之一是伤害评分,它是创伤流行病学的基石。当前有许多评分系统在使用,作为生存概率模型中损伤的解剖学组成部分的损伤严重度评分(ISS)被广泛使用。本文研究了使用文献中描述的不同损伤严重程度评分方法来代表创伤的解剖成分的可能性。资料和方法:所使用的数据集包括来自创伤审核与研究网络(TARN)的75,371个案例。 TARN对英国的110家医院进行了重组,它是欧洲最大的创伤登记处。文献中描述了国际空间站的各种局限性,并提出了对其他评分方法的研究,可以从现有数据中计算得出。使用可用的数据库,可以计算出替代的伤害评分方法,并评估它们在创伤评分和伤害严重度评分(TRISS)生存模型中的使用。结果:当前得分表现相当不错,但是引入得分后,在校准方面有了一些改进,该得分考虑了所有受伤部位的身体部位。 Urban&Vogel。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号