从睡眠内镜和空气流形状的侧壁崩预测了阻塞性睡眠呼吸暂停中低分泌神经刺激的有效性
Daniel Vena1,2, Sara Op de Beeck3,4,2, Hyungchae Yang1,5
1Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
The European respiratory journal
|August 7, 2025
概括
口腔大侧壁崩与阻塞性睡眠呼吸暂停 (OSA) 的低分泌神经刺激 (HGNS) 疗效降低有关. 空气流形状分析可以预测HGNS的成功,改善患者对这种OSA治疗的选择.
科学领域:
- 睡眠医学 睡眠医学
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
- 医疗器械 医疗器械
背景情况:
- 阻塞性睡眠呼吸暂停 (OSA) 治疗选择通常依赖于药物诱导睡眠内镜 (DISE) 来识别喉崩部位.
- 低分泌神经刺激 (HGNS) 是一种有效的OSA治疗方法,但患者选择需要仔细评估崩模式.
研究的目的:
- 为了前性地证实口腔大侧壁 (OLW) 崩与OSA患者的HGNS疗效降低有关.
- 评估一种基于空气流的非侵入性方法来识别OLW崩及其与HGNS疗效的关联,旨在简化患者选择.
主要方法:
- 一项观察性队列研究包括369名接受了DISE和HGNS植入的患者.
- 在DISE (n=138) 和家庭睡眠测试 (n=46) 中收集了空气流数据,以估计OLW崩的概率.
- 线性回归分析了HGNS疗效与DISE或气流决定的OLW崩之间的关联,调整了基线呼吸暂停-呼吸暂停指数 (AHI).
主要成果:
- 与非OLW崩相比,DISE确定的OLW崩与HGNS疗效下降18.0%有关.
- 空气流形状决定的OLW崩概率增加与DISE流 (24.8%) 和HST (22.7%) 队列中的HGNS疗效降低有关.
结论:
- 口腔大侧壁崩被前性验证为影响HGNS治疗失败的重要因素.
- 基于空气流的OLW崩的识别提供了一种有希望的,不那么侵入性的方法来估计HGNS的疗效,并改善患者的选择.
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