困难气道评估研究现状与进展述评。

A review of the current status and progress in difficult airway assessment research.

机构信息

Department of Anesthesiology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.

Southwest Medical University, Luzhou, China.

出版信息

Eur J Med Res. 2024 Mar 13;29(1):172. doi: 10.1186/s40001-024-01759-x.

Abstract

A difficult airway is a situation in which an anesthesiologist with more than 5 years of experience encounters difficulty with intubation or mask ventilation. According to the 2022 American Society of Anesthesiologists Practice Guidelines for the Management of Difficult Airway, difficult airways are subdivided into seven detailed categories. This condition can lead to serious adverse events and therefore must be diagnosed accurately and quickly. In this review, we comprehensively summarize and discuss the different methods used in clinical practice and research to assess difficult airways, including medical history, simple bedside assessment, comprehensive assessment of indicators, preoperative endoscopic airway examination, imaging, computer-assisted airway reconstruction, and 3D-printing techniques. We also discuss in detail the latest trends in difficult airway assessment through mathematical methods and artificial intelligence. With the continuous development of artificial intelligence and other technologies, in the near future, we will be able to predict whether a patient has a difficult airway simply by taking an image of the patient's face through a cell phone program. Artificial intelligence and other technologies will bring great changes to the development of airway assessment, and at the same time raise some new questions that we should think about.

摘要

困难气道是指具有 5 年以上经验的麻醉医师在插管或面罩通气时遇到困难的情况。根据 2022 年美国麻醉医师学会困难气道管理实践指南,困难气道细分为七个详细类别。这种情况可能导致严重的不良事件,因此必须准确快速地诊断。在这篇综述中,我们全面总结和讨论了用于评估困难气道的不同方法,包括病史、简单的床边评估、指标综合评估、术前内镜气道检查、影像学、计算机辅助气道重建和 3D 打印技术。我们还详细讨论了通过数学方法和人工智能评估困难气道的最新趋势。随着人工智能和其他技术的不断发展,在不久的将来,我们只需通过手机程序拍摄患者的面部图像,就可以预测患者是否存在困难气道。人工智能和其他技术将给气道评估的发展带来巨大变化,同时也提出了一些我们应该思考的新问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27e9/10935786/d2204a95a9cd/40001_2024_1759_Fig1_HTML.jpg

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