The Utility of the Shock Index for Predicting Survival, Function and Health Status Outcomes in Major Trauma Patients: A Registry-Based Cohort Study

Lena Wikström, T. Kander, B. Gabbe
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引用次数: 1

Abstract

The shock index (SI; heart rate/systolic blood pressure) has been found to predict mortality in trauma patients. The aims of this study were to establish whether the SI improved the prediction of an existing model for both mortality and longer-term outcomes in major trauma patients. In total, 29,574 adult (>15 years) major trauma patients were included from the Victorian State Trauma Registry with a date of injury from July 2009 to June 2019. Outcomes of interest were survival to hospital discharge and function and health status at 6 months post-injury. Survival and function were analysed using measures of discrimination and calibration, whereas health status was assessed with R2 and MRSE measures. The area under the receiver operating characteristic curve (AUC) of the VSTR survival model improved when the SI was added (AUC 0.797 (0.787–0.807) versus AUC 0.807 (0.797–0.816), p < 0.001). For the prediction of functional outcome 6 months post-injury, the inclusion of the SI increased the AUC marginally (AUC 0.795 (0.786–0.803) versus AUC 0.799 (0.791–0.807), p < 0.001). When predicting in-hospital mortality and health status 6 months post-injury, including the SI resulted in a slightly better fit to the registry-risk adjustment model. In the future, external validation and the exploration of other models to improve prediction outcomes are warranted.
休克指数在预测重大创伤患者生存、功能和健康状况结果中的作用:一项基于登记的队列研究
休克指数(SI;心率/收缩压)已被发现可以预测创伤患者的死亡率。本研究的目的是确定SI是否改善了现有模型对重大创伤患者死亡率和长期结果的预测。维多利亚州创伤登记处共有29574名成年(>15岁)严重创伤患者,受伤日期为2009年7月至2019年6月。感兴趣的结果是出院后的存活率以及受伤后6个月的功能和健康状况。生存率和功能使用辨别和校准测量进行分析,而健康状况则使用R2和MRSE测量进行评估。当加入SI时,VSTR生存模型的受试者工作特征曲线下面积(AUC)有所改善(AUC 0.797(0.787–0.807)对AUC 0.807(0.797–0.816),p<0.001)。对于损伤后6个月的功能结果预测,加入SI略微增加了AUC(AUC 0.7 95(0.786–0.803)对AUC0.799(0.791–0.807,p<0.001)。在预测受伤后6个月的住院死亡率和健康状况时,包括SI在内的指标与注册风险调整模型的拟合程度略好。未来,外部验证和探索其他模型以改善预测结果是有必要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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