Nandi Sambit, Panda Aparajita, Mishra Nitasha, Rao Parnandi Bhaskar, Srinivasan Anand
Department of Onco-Anaesthesia and Palliative Medicine, Dr BRA-IRCH, AIIMS, New Delhi, India.
Department of Anesthesiology and Critical Care, AIIMS, Bhubaneswar, Odisha, India.
Indian J Anaesth. 2025 Sep;69(9):918-925. doi: 10.4103/ija.ija_1360_24. Epub 2025 Aug 12.
Effective airway assessment prevents intubation failure. Despite the limited sensitivity of standard tools, ultrasonography (USG) offers promise, especially in predicting difficult laryngoscopies. Our study aims to evaluate tongue-to-oral height ratio (TTOHR) and anterior neck soft tissue measurements on airway USG to predict difficult laryngoscopy.
This prospective observational study enroled 120 patients posted for elective surgery under general anaesthesia, without anticipated difficult airways. The skin to hyoid bone distance (SHBD), skin to epiglottis distance (SED), skin to thyrohyoid membrane distance (STHMD), and TTOHR were measured on USG. Modified Cormack-Lehane (CL) grading at laryngoscopy was the primary outcome. Statistical analysis included ROC curve analysis, multivariable logistic regression, and evaluation of predictive models combining multiple USG parameters.
The incidence of difficult laryngoscopy and intubation was 11.6% and 6.6%, respectively. The highest diagnostic performance was observed for SED, with an area under the curve (AUC) of 0.95 [95% confidence interval (CI): 0.91, 0.98], a cut-off value of 1.87 cm, a sensitivity of 100%, a specificity of 89%, and a diagnostic accuracy of 90%. STHMD followed with an AUC of 0.94 (95% CI: 0.88, 0.99), a cut-off of 1.58 cm, a sensitivity of 90%, a specificity of 86%, and a diagnostic accuracy of 84%. TTOHR showed an AUC of 0.92 (95% CI: 0.78, 1.00), with a cut-off value of 0.80, a sensitivity of 92%, a specificity of 98%, and the highest diagnostic accuracy of 97% (95% CI: 0.96, 1.00). Various models, tested using three or four parameters, showed AUC values ranging from 0.96 to 0.97. A model containing TTOHR, SHBD, and STHMD was identified as a best-fit model for predicting difficult laryngoscopy.
SED, STHMD, and TTOHR individually showed substantial diagnostic accuracy, with AUCs ranging from 0.92 to 0.95. Analysis of models combining parameters outperformed individual measurements, with statistically significant contributions from TTOHR and SHBD.
有效的气道评估可预防插管失败。尽管标准工具的敏感性有限,但超声检查(USG)具有一定前景,尤其是在预测困难喉镜检查方面。我们的研究旨在评估气道超声检查中舌至口腔高度比(TTOHR)和颈部前方软组织测量值,以预测困难喉镜检查。
这项前瞻性观察性研究纳入了120例计划在全身麻醉下进行择期手术且预计无气道困难的患者。在超声检查中测量皮肤至舌骨距离(SHBD)、皮肤至会厌距离(SED)、皮肤至甲状舌骨膜距离(STHMD)以及TTOHR。喉镜检查时改良的Cormack-Lehane(CL)分级是主要结局指标。统计分析包括ROC曲线分析、多变量逻辑回归以及对结合多个超声参数的预测模型的评估。
困难喉镜检查和插管的发生率分别为11.6%和6.6%。SED的诊断性能最佳,曲线下面积(AUC)为0.95 [95%置信区间(CI):0.91, 0.98],截断值为1.87 cm,敏感性为100%,特异性为89%,诊断准确性为90%。STHMD次之,AUC为0.94(95% CI:0.88, 0.99),截断值为1.58 cm,敏感性为90%,特异性为86%,诊断准确性为84%。TTOHR的AUC为0.92(95% CI:0.78, 1.00),截断值为0.80,敏感性为92%,特异性为98%,诊断准确性最高,为97%(95% CI:0.96, 1.00)。使用三个或四个参数测试的各种模型,AUC值在0.96至0.97之间。一个包含TTOHR、SHBD和STHMD的模型被确定为预测困难喉镜检查的最佳拟合模型。
SED、STHMD和TTOHR单独显示出较高的诊断准确性,AUC范围为0.9