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经口机器人手术中口咽暴露困难的术前预测因素:咽评分。

Preoperative predictors of difficult oropharyngeal exposure for transoral robotic surgery: The Pharyngoscore.

机构信息

Humanitas University, Department of Biomedical Sciences, Milan, Italy.

Otorhinolaryngology - Head & Neck Surgery Unit, Humanitas Research Hospital - IRCCS, Milan, Italy.

出版信息

Head Neck. 2021 Oct;43(10):3010-3021. doi: 10.1002/hed.26792. Epub 2021 Jun 16.

Abstract

BACKGROUND

Insufficient exposure may require termination of procedure in transoral robotic surgery (TORS). The aim of study was to develop a "Pharyngoscore" to quantify the risk of difficult oropharyngeal exposure (DOE) before TORS.

METHODS

Three-hundred six patients undergoing any surgical procedure at one Academic Hospital were prospectively enrolled. Oropharynx was exposed with Feyh-Kastenbauer retractor. Exposure was evaluated by direct and endoscopic visualization of the four oropharyngeal subsites. Preoperative clinical/anthropometric parameters were studied in good oropharyngeal exposure and DOE groups. Logistic regression was performed to explore association between clinical/anthropometric parameters and DOE. Statistically significant parameters at multivariate analysis were incorporated into a nomogram.

RESULTS

Sixty-five (21.2%) subjects were characterized by DOE. Variables associated with DOE at univariate analysis were male (p = 0.031), modified Mallampati Class (MMC) ≥ III (p < 0.001), smaller interincisor gap (p < 0.001), and larger neck circumference (p = 0.006). MMC, interincisor gap, and neck circumference were significant at multivariate analysis and were presented with a nomogram for creating the Pharyngoscore.

CONCLUSIONS

The Pharyngoscore is a promising tool for calculating DOE probability before TORS.

摘要

背景

经口机器人手术(TORS)中,如果暴露不足,可能需要终止手术。本研究旨在开发一种“咽评分”,以便在 TORS 之前量化行难暴露的风险。

方法

前瞻性纳入在一家学术医院接受任何手术的 306 名患者。使用 Feyh-Kastenbauer 牵开器暴露口咽。通过直接和内镜观察四个口咽亚部位来评估暴露情况。在良好的口咽暴露和 DOE 组中研究了术前临床/人体测量参数。使用逻辑回归来探索临床/人体测量参数与 DOE 之间的关联。多元分析中具有统计学意义的参数被纳入列线图。

结果

65 名(21.2%)患者表现为 DOE。单因素分析中与 DOE 相关的变量为男性(p=0.031)、改良 Mallampati 分级(MMC)≥III 级(p<0.001)、切牙间隙较小(p<0.001)和颈围较大(p=0.006)。MMC、切牙间隙和颈围在多因素分析中具有统计学意义,并通过列线图来创建咽评分。

结论

咽评分是一种有前途的工具,可用于计算 TORS 前的 DOE 概率。

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