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创伤患者早期死亡的预测模型。

A predictive model of early mortality in trauma patients.

机构信息

Department of Trauma, Critical Care, and Acute Surgery, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239-3098, USA.

Department of Trauma, Critical Care, and Acute Surgery, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239-3098, USA.

出版信息

Am J Surg. 2014 May;207(5):642-7; discussion 647. doi: 10.1016/j.amjsurg.2013.12.009. Epub 2014 Jan 31.

Abstract

BACKGROUND

Rapid thrombelastography (rTEG) is a real-time whole-blood viscoelastic coagulation assay. We hypothesized that admission rTEG and clinical data are independent predictors of trauma-related mortality.

METHODS

Prospective observational data (patient demographics, admission vital signs, laboratory studies, and injury characteristics) from trauma patients enrolled within 6 hours of injury were collected. Mann-Whitney U test and analysis of variance test assessed significance (P ≤ .05). Logistic regression analyses determined the association of the studied variables with 24-hour mortality.

RESULTS

Seven hundred ninety-five trauma patients were enrolled, of which 55 died within 24 hours of admission. Admission variables which independently predicted 24-hour mortality were as follows: Glasgow Coma Scale ≤8, hemoglobin <11 g/dL, international normalized ratio >1.5, Ly30 >8%, and penetrating injury (P < .05). This 5-variable model's area under the receiver operator characteristic curve was .88. The Hosmer-Lemeshow goodness-of-fit test was .90.

CONCLUSIONS

This 5-variable model provides a rapid prediction of 24-hour mortality. The inclusion of rTEG Ly30 demonstrates the association of fibrinolysis with outcome and may support the early use of antifibrinolytic therapies.

摘要

背景

快速血栓弹力描记术(rTEG)是一种实时全血粘弹性凝血检测方法。我们假设入院 rTEG 和临床数据是创伤相关死亡率的独立预测因素。

方法

前瞻性观察性数据(患者人口统计学、入院生命体征、实验室研究和损伤特征)从损伤后 6 小时内入组的创伤患者中收集。曼-惠特尼 U 检验和方差分析检验评估显著性(P ≤.05)。逻辑回归分析确定研究变量与 24 小时死亡率的关联。

结果

共纳入 795 例创伤患者,其中 55 例在入院后 24 小时内死亡。独立预测 24 小时死亡率的入院变量如下:格拉斯哥昏迷评分≤8、血红蛋白<11g/dL、国际标准化比值>1.5、Ly30>8%和穿透性损伤(P<.05)。该 5 变量模型的受试者工作特征曲线下面积为.88。Hosmer-Lemeshow 拟合优度检验为.90。

结论

该 5 变量模型可快速预测 24 小时死亡率。纤维蛋白溶解与结局相关,rTEG Ly30 的纳入可能支持早期使用抗纤维蛋白溶解治疗。

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