Accuracy of ultrasound measurement of airway parameters in predicting difficult mask ventilation
10.3760/cma.j.cn131073.20230525.01012
- VernacularTitle:超声测量气道参数预测困难面罩通气的准确性
- Author:
Jiaqi ZHANG
1
;
Weiwei ZHANG
;
Hao GUO
;
Ying XUE
;
Jianhui GAO
;
Yaoyao QIN
;
Nirong WANG
;
Shuzhen YU
Author Information
1. 山西医科大学麻醉学院，太原 030001
- Keywords:
Ultrasonography;
Respiration, artificial;
Laryngeal masks;
Forecasting
- From:
Chinese Journal of Anesthesiology
2023;43(10):1210-1213
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the accuracy of ultrasound measurement of airway parameters in predicting difficult mask ventilation (DMV).Methods:Ninety-six patients, aged 18-90 yr, with body mass index of 16-39 kg/m 2, of American Society of Anesthesiologists Physical Status classification Ⅰ or Ⅱ, undergoing elective endotracheal intubation under general anesthesia, were included in this study. Clinical airway evaluation was performed at 1 day before surgery, and modified Mallampati classification, thyromental distance and rating of the upper lip bite test were recorded. At 30 min before anesthesia induction, mandibular condylar motion, tongue longitudinal cross-sectional area and transverse diameter of tongue were measured by ultrasound, and the tongue volume (product of tongue longitudinal cross-sectional area and transverse diameter of tongue) was calculated. Mask ventilation was performed after induction of anesthesia, mask ventilation difficulty grade ≥Ⅲ was defined as DMV, the patients were divided into 2 groups according to whether DMV occurred: non-DMV group (NDMV group) and DMV group. Correlations between the clinical airway evaluation indexes and ultrasonic airway parameters with statistically significant differences between groups and DMV were assessed using Spearman′s rank correlation. The area under the receiver operating characteristics curve was used to evaluate the accuracy of each parameter in predicting DMV, the critical value was determined, and the accuracy, sensitivity, specificity, positive and negative predictive values were calculated. Results:The modified Mallampati classification, rating of the upper lip bite test, ultrasonic tongue longitudinal cross-sectional area, transverse diameter of tongue and tongue volume were positively correlated with DMV, and thyromental distance and mandibular condylar motion were negatively correlated with DMV ( P<0.05). The area under the receiver operating characteristics curve of mandibular condylar motion and tongue volume in predicting DMV were 0.898 and 0.862, respectively, the cut-off values were 1.19 cm and 99.94 cm 3, respectively, and the sensitivity and specificity were all over 70% and 90%, respectively, the positive predictive values were 92.31% and 88.46%, respectively. Conclusions:Ultrasonic measurements of mandibular condylar motion and tongue volume can accurately predict DMV.
