Radiological indicators to predict the application of assistant intubation techniques for patients undergoing cervical surgery

• Published in: BMC anesthesiology Vol. 20; no. 1; p. 238
• Main Authors: Liu, Bingchuan, Song, Yanan, Liu, Kaixi, Zhou, Fang, Ji, Hongquan, Tian, Yun, Han, Yong Zheng
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 17.09.2020; BioMed Central; BMC
• Subjects: Airway management; Anesthesia; Assistant intubation technique; Back surgery; Clinical study; Comparative analysis; Difficult laryngoscope; Hyoid bone; Intubation; Laryngoscopy; Magnetic resonance imaging; Medical personnel; Medical research; Methods; Occipital bone; Ostomy; Palate; Patients; Radiological indicator; Statistical analysis; Surgery; Tracheotomy; Trauma; Vertebrae; X-rays; Assistant intubation technique; Difficult laryngoscope; Clinical study; Radiological indicator
• ISSN: 1471-2253; 1471-2253
• DOI: 10.1186/s12871-020-01153-0

We aimed to distinguish the preoperative radiological indicators to predict the application of assistant techniques during intubation for patients undergoing selective cervical surgery. A total of 104 patients were enrolled in this study. According to whether intubation was successfully accomplished by simple Macintosh laryngoscopy, patients were divided into Macintosh laryngoscopy group (n = 78) and Assistant technique group (n = 26). We measured patients' radiographical data via their preoperative X-ray and MRI images, and compared the differences between two groups. Binary logistic regression model was applied to distinguish the meaningful predictors. Receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to describe the discrimination ability of indicators. The highest Youden's index corresponded to an optimal cut-off value. Ten variables exhibited significant statistical differences between two groups (P <  0.05). Based on logistic regression model, four further showed correlation with the application of assistant techniques, namely, perpendicular distance from hard palate to tip of upper incisor (X2), atlanto-occipital gap (X9), angle between a line passing through posterior-superior point of hard palate and the lowest point of the occipital bone and a line passing through the anterior-inferior point and the posterior-inferior point of the second cervical vertebral body (Angle E), and distance from skin to hyoid bone (MRI 7). Angle E owned the largest AUC (0.929), and its optimal cut-off value was 19.9° (sensitivity = 88.5%, specificity = 91.0%). the optimal cut-off value, sensitivity and specificity of other three variables were X2 (30.1 mm, 76.9, 76.9%), MRI7 (16.3 mm, 69.2, 87.2%), and X9 (7.3 mm, 73.1, 56.4%). Four radiological variables possessed potential ability to predict the application of assistant intubation techniques. Anaesthesiologists are recommended to apply assistant techniques more positively once encountering the mentioned cut-off values.