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新型声学监测系统可定量监测麻醉护理期间的误吸风险。

New acoustic monitoring system quantifying aspiration risk during monitored anaesthesia care.

机构信息

Department of Dental Anesthesiology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-Ku, Hiroshima, 734-8553, Japan.

Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.

出版信息

Sci Rep. 2023 Nov 18;13(1):20196. doi: 10.1038/s41598-023-46561-7.

Abstract

Respiratory monitoring is crucial during monitored anaesthesia care (MAC) to ensure patient safety. Patients undergoing procedures like gastrointestinal endoscopy and dental interventions under MAC have a heightened risk of aspiration. Despite the risks, no current system or device can evaluate aspiration risk. This study presents a novel acoustic monitoring system designed to detect fluid retention in the upper airway during MAC. We conducted a prospective observational study with 60 participants undergoing dental treatment under MAC. We utilized a prototype acoustic monitoring system to assess fluid retention in the upper airway by analysing inspiratory sounds. Water was introduced intraorally in participants to simulate fluid retention; artificial intelligence (AI) analysed respiratory sounds pre and post-injection. We also compared respiratory sounds pre-treatment and during coughing events. Coughing was observed in 14 patients during MAC, and 31 instances of apnoea were detected by capnography. However, 27 of these cases had breath sounds. Notably, with intraoral water injection, the Stridor Quantitative Value (STQV) significantly increased; furthermore, the STQV was substantially higher immediately post-coughing in patients who coughed during MAC. In summary, the innovative acoustic monitoring system using AI provides accurate evaluations of fluid retention in the upper airway, offering potential to mitigate aspiration risks during MAC.Clinical trial number: jRCTs 062220054.

摘要

呼吸监测在监测麻醉护理(MAC)中至关重要,以确保患者安全。接受胃肠内窥镜检查和牙科介入等手术的患者在 MAC 下有更高的误吸风险。尽管存在风险,但目前没有系统或设备可以评估误吸风险。本研究提出了一种新型的声学监测系统,旨在检测 MAC 期间上气道中的液体潴留。我们进行了一项前瞻性观察研究,共有 60 名接受 MAC 下牙科治疗的参与者。我们使用原型声学监测系统通过分析吸气声来评估上气道中的液体潴留。我们在参与者的口腔内引入水来模拟液体潴留;人工智能(AI)在注射前后分析呼吸声。我们还比较了治疗前和咳嗽期间的呼吸声。在 MAC 期间观察到 14 名患者咳嗽,并且通过二氧化碳描记法检测到 31 例呼吸暂停。然而,这些情况下有 27 例有呼吸音。值得注意的是,口腔内注水后,喘鸣定量值(STQV)显著增加;此外,在 MAC 期间咳嗽的患者咳嗽后立即的 STQV 明显更高。总之,使用人工智能的创新声学监测系统可对上气道中的液体潴留进行准确评估,为降低 MAC 期间的误吸风险提供了潜力。临床试验注册号:jRCTs 062220054。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c273/10657450/e3c0606ed88d/41598_2023_46561_Fig1_HTML.jpg

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