Jin Won Young Yong, Jeong Jin Hee, Kim Dong Hoon, Kim Tae Yun, Kang Changwoo, Lee Soo Hoon, Lee Sang Bong, Kim Seong Chun, Park Yong Joo, Lim Daesung
Department of Emergency Medicine,Gyeongsang National University School of Medicine, Jinju-si, Gyeongsangnam-do-Republic of Korea.
Ulus Travma Acil Cerrahi Derg. 2018 Nov;24(6):532-538. doi: 10.5505/tjtes.2018.29434.
The aim of this study was to identify factors predicting early mortality in trauma patients.
This was a study of 6288 trauma patients admitted to the hospital between July 2011 and June 2016. Among the variables recorded for a prospective trauma registry, the following were selected for analysis: sex; age; a combination of the Glasgow Coma Scale score, age, and systolic blood pressure (SBP) (GAP); a combination of the mechanism of injury, the Glasgow Coma Scale score, age, and SBP (MGAP); SBP; respiratory rate; peripheral oxygen saturation (SpO2 value); the Glasgow Coma Scale score; laboratory variables; and presentation time. Logistic regression analysis was used to explore associations between these variables and early mortality.
In total, 296 (4.6%) patients died within 24 hours. Univariate regression analysis indicated that age, the GAP, the MGAP, SBP, SpO2, the Glasgow Coma Scale score, base excess, hemoglobin level, platelet count, INR, and presentation time predicted early mortality. Multivariate regression showed that the GAP, the MGAP, SpO2, base excess, platelet count, and INR were independently predictive. The areas under the receiver operator curve comparisons for the GAP and MGAP models revealed the superiority of the GAP-based model.
The GAP model, SpO2, base excess, platelet count, and INR predicted the early mortality of trauma patients.
本研究旨在确定创伤患者早期死亡的预测因素。
这是一项对2011年7月至2016年6月期间入院的6288例创伤患者的研究。在为前瞻性创伤登记记录的变量中，选择以下变量进行分析：性别；年龄；格拉斯哥昏迷量表评分、年龄和收缩压（SBP）的组合（GAP）；损伤机制、格拉斯哥昏迷量表评分、年龄和SBP的组合（MGAP）；SBP；呼吸频率；外周血氧饱和度（SpO2值）；格拉斯哥昏迷量表评分；实验室变量；以及就诊时间。采用逻辑回归分析探讨这些变量与早期死亡之间的关联。
共有296例（4.6%）患者在24小时内死亡。单因素回归分析表明，年龄、GAP、MGAP、SBP、SpO2、格拉斯哥昏迷量表评分、碱剩余、血红蛋白水平、血小板计数、国际标准化比值（INR）和就诊时间可预测早期死亡。多因素回归显示，GAP、MGAP、SpO2、碱剩余、血小板计数和INR具有独立预测性。GAP和MGAP模型的受试者工作特征曲线下面积比较显示基于GAP的模型具有优越性。
GAP模型、SpO2、碱剩余、血小板计数和INR可预测创伤患者的早期死亡。
