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无创通气自动化技术:设备对睡眠相关呼吸事件反应的基准评估。

Noninvasive Ventilation Automated Technologies: A Bench Evaluation of Device Responses to Sleep-Related Respiratory Events.

机构信息

Université Paris-Saclay, UVSQ, ERPHAN, Versailles, France.

ASV Santé, Gennevilliers, France.

出版信息

Respir Care. 2023 Jan;68(1):18-30. doi: 10.4187/respcare.09807. Epub 2022 Oct 11.

Abstract

BACKGROUND

Noninvasive ventilation (NIV) is the reference standard treatment for most situations of chronic respiratory failure. NIV settings must be titrated to both preserve upper-airway patency and control hypoventilation. Automatic adjustment of pressure support (PS) and expiratory positive airway pressure (EPAP) may facilitate the initiation and follow-up of domiciliary NIV. However, whether the automatic-adjustment algorithms embedded into current devices accurately detect, respond to, and score common sleep-related respiratory events remains unclear.

METHODS

A bench was set up to simulate central hypopnea (CH), central apnea (CA), obstructive hypopnea (OH), and obstructive apnea (OA). Four home ventilators were evaluated, with their dedicated modes for automatic PS and EPAP adjustment.

RESULTS

All 4 devices increased PS during CH, CA, and OH. However, PS adjustment varied widely in magnitude, with tidal volumes within 100 ± 20% of the target being provided by only 3 devices for CH, one for CA, and one for OH. Two devices increased EPAP for OH and 3 for OA, including one that also increased EPAP for CA. Only 2 devices scored residual hypopnea after simulated CA, and only one scored a residual event after OH. One device scored no event.

CONCLUSIONS

Current NIV devices differed markedly in their responses to, and reporting of, standardized sleep-related respiratory events. Further improvements in embedded NIV algorithms are needed to allow more widespread out-of-laboratory initiation and follow-up of NIV.

摘要

背景

无创通气(NIV)是大多数慢性呼吸衰竭情况的标准治疗方法。NIV 参数的设置必须同时保持上呼吸道通畅和控制通气不足。压力支持(PS)和呼气末正压(EPAP)的自动调节可能有助于家庭 NIV 的启动和随访。然而,目前设备中嵌入的自动调节算法是否能准确地检测、响应和评分常见的与睡眠相关的呼吸事件尚不清楚。

方法

建立了一个工作台来模拟中枢性低通气(CH)、中枢性呼吸暂停(CA)、阻塞性低通气(OH)和阻塞性呼吸暂停(OA)。评估了 4 台家用呼吸机,它们具有专门用于自动 PS 和 EPAP 调节的模式。

结果

所有 4 种设备在 CH、CA 和 OH 期间都增加了 PS。然而,PS 调节的幅度差异很大,只有 3 种设备在 CH 时提供的潮气量在目标值的 100 ± 20%以内,1 种设备在 CA 时提供,1 种设备在 OH 时提供。2 种设备在 OH 时增加了 EPAP,3 种设备在 OA 时增加了 EPAP,其中一种设备也在 CA 时增加了 EPAP。只有 2 种设备在模拟 CA 后能正确地评分残留的低通气,只有 1 种设备在 OH 后能正确地评分残留的事件。1 种设备没有评分。

结论

目前的 NIV 设备在对标准化的与睡眠相关的呼吸事件的反应和报告方面存在明显差异。需要进一步改进嵌入式 NIV 算法,以允许更广泛地在实验室外启动和随访 NIV。

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Advances in non-invasive positive airway pressure technology.无创正压通气技术的进展。
Respirology. 2020 Apr;25(4):372-382. doi: 10.1111/resp.13631. Epub 2019 Jul 5.

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