Instituto de Medicina Integral Professor Fernando Figueira, Recife, PE, Brazil; Universidade Federal de Campina Grande, Campina Grande, PB, Brazil.
Hospital das Cl.ínicas de Pernambuco, Recife, PE, Brazil.
Braz J Anesthesiol. 2022 Nov-Dec;72(6):736-741. doi: 10.1016/j.bjane.2021.09.008. Epub 2021 Oct 12.
There is currently some discussion over the actual usefulness of performing preoperative upper airway assessment to predict difficult airways. In this field, modified Mallampati test (MMT) is a widespread tool used for prediction of difficult airways showing only a feeble predictive performance as a diagnostic test. We therefore aimed at evaluating if MMT test would perform better when used as a screening test rather than diagnostic.
An accuracy prospective study was conducted with 570 patients undergoing general anesthesia for surgical procedures. We collected preoperatively data on sex, age, weight, height, body mass index (BMI), ASA physical status, and MMT. The main outcome was difficult laryngoscopy defined as Cormack and Lahane classes 3 or 4. Bivariate analyses were performed to build three different predictive models with their ROC curves.
Difficult laryngoscopy was reported in 36 patients (6.32%). Sex, ASA physical status, and MMT were associated with difficult laryngoscopy, while body mass index (BMI) was not. The MMT cut-off with the highest odds ratio was the class II, which also presented significantly higher sensitivity (94.44%). The balanced accuracy was 67.11% (95% CI: 62.78...71.44%) for the cut-off of class II and 71.68% (95% CI: 63.83...79.54) for the class III.
MMT seems to be more clinically useful when the class II is employed as the threshold for possible difficult laryngoscopies. At this cut-off, MMT shows the considerable highest sensitivity plus the highest odds ratio, prioritizing thus the anticipation of difficult laryngoscopies.
目前,对于术前评估上呼吸道以预测困难气道的实际有用性存在一些争议。在该领域,改良的 Mallampati 测试(MMT)是一种广泛用于预测困难气道的工具,但作为诊断测试,其预测性能较差。因此,我们旨在评估 MMT 测试作为筛选测试而非诊断测试时的性能是否会更好。
对 570 例接受全身麻醉行手术的患者进行准确性前瞻性研究。我们收集了术前性别、年龄、体重、身高、体重指数(BMI)、ASA 身体状况和 MMT 等数据。主要结局为喉镜检查困难,定义为 Cormack 和 Lahane 分级 3 或 4 级。进行了双变量分析,以建立三个不同的预测模型及其 ROC 曲线。
36 例(6.32%)患者报告存在喉镜检查困难。性别、ASA 身体状况和 MMT 与喉镜检查困难相关,而 BMI 则不相关。具有最高优势比的 MMT 截断值为 II 级,其灵敏度也显著更高(94.44%)。截断值为 II 级时的平衡准确性为 67.11%(95%CI:62.78%71.44%),截断值为 III 级时为 71.68%(95%CI:63.83%79.54%)。
当 II 级作为可能的喉镜检查困难的阈值时,MMT 似乎更具临床意义。在此截断值下,MMT 显示出相当高的灵敏度和最高的优势比,从而优先预测喉镜检查困难。