Value of ultrasonographic measurement of submental soft tissue distance in predicting poor ventilation with laryngeal mask airway
10.3760/cma.j.cn131073.20210120.00719
- VernacularTitle:超声测量颏下软组织距离预测喉罩通气不良的价值
- Author:
Hua ZHANG
1
;
Jurong XIA
;
Ranran FENG
;
Bo WANG
;
Lijun HE
Author Information
1. 杭州市第三人民医院麻醉疼痛科 310009
- Keywords:
Ultrasonography;
Chin;
Laryngeal mask airway;
Forecasting
- From:
Chinese Journal of Anesthesiology
2021;41(7):848-851
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To determine the value of ultrasonographic measurement of submental soft tissue distance in predicting poor ventilation with laryngeal mask airway (LMA).Methods:A total of 272 American Society of Anesthesiologists physical status Ⅰ or Ⅱ patients, aged 25-78 yr, weighing 40-85 kg, with mechanical ventilation time 30-120 min, scheduled for elective lower limb vascular surgery or lithotripsy under general anesthesia with LMA, were selected.The parameters of submental soft tissue of tongue thickness (TT), distance from skin to the hyoid bone (DSHB), distance from skin to epiglottis midway (DSEM) and distance from skin to anterior commissure of the vocal cords (DSAC) were measured using ultrasonography before operation.The type of LMA was chosen according to the instruction book.The development of failure of LMA placement at the first attempt, air leakage around LMA cuff during mechanical ventilation, peak airway pressure >20 cmH 2O and gastric insufflation detected by ultrasonography were recorded.The development of one or more adverse events mentioned above was considered to be poor ventilation.The patients were divided into normal ventilation group (N group) and poor ventilation group (P group) according to whether poor ventilation occurred.The receiver operating characteristic curve for ultrasonographic measurement of submental soft tissue distance in predicting poor ventilation with LMA was drawn, and the area under the curve (AUC) and 95% confidence interval (CI), sensitivity and specificity and cut-off value were calculated.The risk factors of which P values were less than 0.05 would enter the logistic regression analysis to stratify the risk factors for poor ventilation with LMA. Results:The AUC for TT, DSHB, DSEM and DSAC measured using ultrasonography in predicting poor ventilation with LMA (95%CI) was 0.866 (0.813-0.919), 0.755 (0.683-0.827), 0.835 (0.772-0.899) and 0.705 (0.628-0.782) ( P<0.05 or 0.01), respectively.The results of logistic regression analysis showed that TT≥6.140 cm, DSHB≥1.145 cm, DSEM≥2.175 cm and DSAC≥1.075 cm were risks factor for poor ventilation with LMA. Conclusion:Ultrasonographic measurement of TT, DSHB, DSEM and DSAC can predict the development of poor ventilation with LMA.
