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严重钝挫伤患者低温预测死亡。

Hypothermia for prediction of death in severely injured blunt trauma patients.

机构信息

Department of Surgery, Hospital of the University of Munich-Campus Großhadern, Klinikum rechts der Isar, Technical University of Munich-TUM, Germany.

出版信息

Shock. 2012 Feb;37(2):131-9. doi: 10.1097/SHK.0b013e318245f6b2.

Abstract

Hypothermia is considered an independent predictor of death after trauma. The aim of this study was to assess these premises based on data from the TraumaRegistry DGU® (TR-DGU) using its outcome predication tool, the Revised Injury Severity Classification (RISC) score, in comparison with three previously published regression models by Shafi, Martin, and Wang. We hypothesized that body temperature on admission would improve accuracy of the RISC score. Data of 5,197 patients with documented body temperature on admission (T) and complete data for RISC score prognosis were selected from TR-DGU. Hypothermia was defined as T of 35°C or less. Patients were divided into hypothermia and normothermia group. Differences were assessed using Mann-Whitney U and chi-squared tests. Statistical significance was accepted at P < 0.01(). Moreover, we performed multivariate logistic regression analyses using TR-DGU data on the four models (including RISC) with hospital mortality as dependant variable. Results are given as mean or odds ratio (OR) with 95% confidence intervals (95% CIs). Hypothermic patients were more severely injured (Injury Severity Score, 35.0 vs. 29.2 points) and had higher rates of shock (38.3 vs. 16.8%), organ failure (71.8 vs. 46%), and sepsis (17.5 vs. 10.6%). Survival was worse (29.2 vs. 13.7%). Comparison of the above models revealed hypothermia as an independent risk factor (Martin: OR, 1.43 [95% CI, 2.21-1.42*]; and Wang: OR, 1.77 [95% CI, 2.21-1.42*]) only, although it would drop out from the model (RISC: OR, 1.12 [95% CI, 1.41-0.89; P = 0.33] and Shafi: OR, 1,.21 [95% CI, 1.60-0.92; P = 0.17]) as long as parameters to indicate hemorrhage and/or coagulopathy were included in sufficient number, a finding confirmed by a subsequent sensitivity analysis. We conclude that hypothermia is a result of injury severity and therefore unlikely to be an independent predictor of mortality. Our data suggest that hypothermia belongs closely to the hemorrhage/coagulopathy group of predictors.

摘要

体温过低被认为是创伤后死亡的独立预测因素。本研究旨在使用创伤登记处 DGU®(TR-DGU)的预后预测工具修订损伤严重度分类(RISC)评分,根据来自该登记处的数据评估这些前提,并与 Shafi、Martin 和 Wang 之前发表的三个回归模型进行比较。我们假设入院时的体温会提高 RISC 评分的准确性。从 TR-DGU 中选择了有记录的入院时体温(T)和 RISC 评分预后完整数据的 5197 名患者。体温过低定义为 T 低于 35°C。将患者分为体温过低组和正常体温组。使用 Mann-Whitney U 和卡方检验评估差异。P < 0.01() 时认为具有统计学意义。此外,我们使用 TR-DGU 数据对包括 RISC 在内的四个模型(共四个模型)进行了多变量逻辑回归分析,以医院死亡率为因变量。结果以平均值或比值比(OR)和 95%置信区间(95%CI)表示。体温过低的患者受伤更严重(损伤严重度评分 35.0 比 29.2 分),休克发生率更高(38.3%比 16.8%),器官衰竭发生率更高(71.8%比 46%),脓毒症发生率更高(17.5%比 10.6%)。生存率更差(29.2%比 13.7%)。对上述模型的比较表明,体温过低是一个独立的危险因素(Martin:OR,1.43[95%CI,2.21-1.42*];Wang:OR,1.77[95%CI,2.21-1.42*]),尽管它会从模型中剔除(RISC:OR,1.12[95%CI,1.41-0.89;P = 0.33]和 Shafi:OR,1.21[95%CI,1.60-0.92;P = 0.17]),只要足够数量的参数表明出血和/或凝血功能障碍即可。通过随后的敏感性分析证实了这一发现。我们得出结论,体温过低是损伤严重程度的结果,因此不太可能是死亡率的独立预测因素。我们的数据表明,体温过低与出血/凝血功能障碍预测因素密切相关。

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