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Predicting Difficult Intubation in Emergency Department by Intubation Assessment Score

机译:通过插管评估评分预测急诊科的插管困难

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Background: The difficult intubation is associated with failure of emergency tracheal intubation. This study aimed to develop and validate a model for predicting difficult intubation in emergency department (ED).Methods: A cross-sectional study was conducted in the ED. We collected data from all consecutive adult patients who underwent emergency tracheal intubation. Patients were excluded if they were intubated by low experience intubator. The difficult intubation was defined by grade III or IV of Cormack and Lehane classification. We used multivariable regression model to identify significant predictors of difficult intubation and weighted points proportional to the beta coefficient values. The ability to discriminate was quantified by using the area under receiver operating characteristics curve (AuROC). The bootstrapping method was used to validate the performance.Results: A total of 1,212 intubations were analyzed. One hundred and fifty-seven intubations were enrolled in difficult intubation group. Five independence predictors were identified, and each was assigned a number of points proportional to its beta coefficient: male gender (one), large tongue (two), limit mouth opening (two), poor neck mobility (two), and presence of obstructed airway (three). Intubation assessment score model was created and applied to all subjects. The AuROC was 0.81 (95% confidence interval (CI): 0.77 - 0.85) for the development dataset, and 0.80 (95% CI: 0.76 - 0.85) for the validation dataset. We defined three risk groups: low risk (zero to one points), intermediate risk (two to three points), and high risk (above three points), and the difficult intubation rate was 4.7%, 22.5%, and 53.6%, respectively.Conclusions: Intubation assessment score model was constructed from patients’ simple characteristics and performed well in predicting difficult intubation and can discriminate between with and without difficult intubation.J Clin Med Res. 2018;10(3):247-253doi: https://doi.org/10.14740/jocmr3320w.
机译:背景:气管插管困难与紧急气管插管失败有关。这项研究旨在开发和验证预测急诊科(ED)困难插管的模型。方法:在ED中进行横断面研究。我们收集了所有接受紧急气管插管的连续成人患者的数据。如果患者通过经验不足的插管器进行插管,则将其排除在外。困难插管由Cormack和Lehane分类的III级或IV级定义。我们使用多变量回归模型来确定插管困难和权重与β系数值成正比的重要预测因子。通过使用接收器工作特性曲线(AuROC)下的面积来量化区分能力。结果:共分析了1,212次插管。气管插管组157例。确定了五个独立性预测因素,并为每个因素分配了与其beta系数成比例的分数:男性(一个),大舌头(两个),张开嘴巴(两个),颈部活动度差(两个)和阻塞的发生气道(三)。创建插管评估评分模型并将其应用于所有受试者。开发数据集的AuROC为0.81(95%置信区间(CI):0.77-0.85),而验证数据集的AuROC为0.80(95%CI:0.76- 0.85)。我们定义了三个风险组:低风险(零至一分),中风险(两至三分)和高风险(三分以上),并且插管困难率分别为4.7%,22.5%和53.6%。结论:插管评估评分模型是根据患者的简单特征构建的,在预测困难插管方面表现良好,可以区分插管困难与否。JClin Med Res。 2018; 10(3):247-253doi:https://doi.org/10.14740/jocmr3320w。

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