舌高/口腔高比和颈前软组织测量对意外气道困难患者喉镜检查的预测价值:一项前瞻性观察研究。

IF 1.9 Q1 ANESTHESIOLOGY
Indian Journal of Anaesthesia Pub Date : 2025-09-01 Epub Date: 2025-08-12 DOI:10.4103/ija.ija_1360_24
Sambit Nandi, Aparajita Panda, Nitasha Mishra, Parnandi Bhaskar Rao, Anand Srinivasan
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引用次数: 0

摘要

背景和目的:有效的气道评估可预防插管失败。尽管标准工具的灵敏度有限,超声检查(USG)提供了希望,特别是在预测困难的喉镜检查。本研究旨在评估舌口高度比(TTOHR)和前颈部软组织测量对气道USG的影响,以预测喉镜检查困难。方法:本前瞻性观察性研究纳入120例全麻下择期手术患者,无预期气道困难。USG测量皮肤到舌骨距离(SHBD)、皮肤到会厌距离(SED)、皮肤到甲状舌骨膜距离(STHMD)、TTOHR。喉镜下改良的Cormack-Lehane (CL)分级是主要预后指标。统计分析包括ROC曲线分析、多变量logistic回归、多USG参数联合预测模型评价。结果:喉镜检查和插管困难发生率分别为11.6%和6.6%。SED的诊断效能最高,曲线下面积(AUC)为0.95[95%可信区间(CI): 0.91, 0.98],截断值为1.87 cm,灵敏度为100%,特异性为89%,诊断准确率为90%。STHMD的AUC为0.94 (95% CI: 0.88, 0.99), cut-off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,灵敏度为92%,特异性为98%,最高诊断准确率为97% (95% CI: 0.96, 1.00)。使用三个或四个参数测试的各种模型的AUC值在0.96至0.97之间。一个包含TTOHR、SHBD和STHMD的模型被认为是预测困难喉镜检查的最佳模型。结论:SED、STHMD和TTOHR分别具有较高的诊断准确性,auc范围为0.92 ~ 0.95。结合参数的模型分析优于单个测量,TTOHR和SHBD的贡献在统计上显著。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Evaluation of the predictive value of tongue height to oral cavity height ratio and anterior neck soft tissue measurements for difficult laryngoscopy in patients with unanticipated difficult airway: A prospective observational study.

Evaluation of the predictive value of tongue height to oral cavity height ratio and anterior neck soft tissue measurements for difficult laryngoscopy in patients with unanticipated difficult airway: A prospective observational study.

Evaluation of the predictive value of tongue height to oral cavity height ratio and anterior neck soft tissue measurements for difficult laryngoscopy in patients with unanticipated difficult airway: A prospective observational study.

Evaluation of the predictive value of tongue height to oral cavity height ratio and anterior neck soft tissue measurements for difficult laryngoscopy in patients with unanticipated difficult airway: A prospective observational study.

Background and aims: 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.

Methods: 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.

Results: 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.

Conclusion: 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.

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来源期刊
CiteScore
4.20
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44.80%
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