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全身麻醉下大手术术中低体温的术前危险因素

Preoperative risk factors of intraoperative hypothermia in major surgery under general anesthesia.

作者信息

Kasai T, Hirose M, Yaegashi K, Matsukawa T, Takamata A, Tanaka Y

机构信息

Department of Anesthesiology, Kyoto Prefectural University of Medicine, Kamigyoku, Kyoto 602-8566, Japan.

出版信息

Anesth Analg. 2002 Nov;95(5):1381-3, table of contents. doi: 10.1097/00000539-200211000-00051.

Abstract

UNLABELLED

Preoperative factors, such as age and body habitus, affect intraoperative hypothermia during general anesthesia. In a preliminary study, we developed a logistic model to retrospectively evaluate predictors of intraoperative hypothermia in patients who received major surgery. The following factors were selected to develop the model: Z = -15.014 + 0.097 x (Age) + 0.263 x (Height) - 0.323 x (Weight) - 0.055 x (Preoperative systolic blood pressure) - 0.121 x (Preoperative heart rate). By using this model, the probability of hypothermia can be estimated by applying the following formula: Probability = 1/(1 + e(-)(Z)). If an estimated probability of hypothermia was >0.5, the sensibility of prediction was 81.5% and the specificity was 83%. In the second study, the model was applied prospectively to other patients, and the validity of the logistic model was evaluated. The core temperature showed a significant decrease in patients with a probability >0.7, who were predicted to be hypothermic, and their thermoregulatory vasoconstriction threshold also showed a significant decrease, compared with the patients with a probability <==0.3, who were predicted to be normothermic. We concluded that intraoperative hypothermia could be predicted from preoperative characteristics such as age, height, weight, systolic blood pressure, and heart rate.

IMPLICATIONS

Increases in age and height and decreases in weight systolic blood pressure and heart rate are major preoperative risk factors of intraoperative hypothermia during major surgery.

摘要

未标记

术前因素,如年龄和体型,会影响全身麻醉期间的术中体温过低。在一项初步研究中,我们建立了一个逻辑模型,以回顾性评估接受大手术患者术中体温过低的预测因素。选择以下因素来建立模型:Z = -15.014 + 0.097×(年龄)+ 0.263×(身高) - 0.323×(体重) - 0.055×(术前收缩压) - 0.121×(术前心率)。通过使用此模型,可通过应用以下公式估计体温过低的概率:概率 = 1 /(1 + e^(-Z))。如果估计的体温过低概率>0.5,则预测的敏感性为81.5%,特异性为83%。在第二项研究中,该模型被前瞻性应用于其他患者,并评估了逻辑模型的有效性。与预测为体温正常(概率<=0.3)的患者相比,预测为体温过低(概率>0.7)的患者核心温度显著下降,其体温调节性血管收缩阈值也显著降低。我们得出结论,术中体温过低可根据年龄、身高、体重、收缩压和心率等术前特征进行预测。

启示

年龄和身高增加以及体重、收缩压和心率降低是大手术期间术中体温过低的主要术前危险因素。

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