Adaptive non-invasive ventilation treatment for sleep apnea.

IF 2.8 Q3 ENGINEERING, BIOMEDICAL Healthcare Technology Letters Pub Date : 2024-05-26 eCollection Date: 2024-10-01 DOI:10.1049/htl2.12087
Fleur T Tehrani, James H Roum
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Abstract

The purpose of this study was to investigate the effectiveness of two non-invasive mechanical ventilation (NIV) modalities to treat sleep apnea: (1) Average Volume Assured Pressure Support (AVAPS) NIV, and (2) Pressure Support (PS) NIV with Continuously Calculated Average Required Ventilation (CCARV). Two detailed (previously developed and tested) simulation models were used to assess the effectiveness of the NIV modalities. One simulated subjects without chronic obstructive pulmonary disease (COPD), and the other simulated patients with COPD. Sleep apnea was simulated in each model (COPD and Non-COPD), and the ability of each NIV modality to normalize breathing was measured. In both NIV modalities, a low level continuous positive airway pressure was used and a backup respiratory rate was added to the algorithm in order to minimize the respiratory work rate. Both modalities could help normalize breathing in response to an episode of sleep apnea within about 5 min (during which time blood gases were within safe limits). AVAPS NIV and PS NIV with CCARV have potential value to be used for treatment of sleep apnea. Clinical evaluations are needed to fully assess the effectiveness of these NIV modalities.

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自适应无创通气治疗睡眠呼吸暂停。
本研究的目的是调查两种无创机械通气(NIV)模式治疗睡眠呼吸暂停的效果:(1) 平均容积保证压力支持(AVAPS)NIV,以及 (2) 压力支持(PS)NIV 和持续计算平均所需通气量(CCARV)。为了评估 NIV 模式的有效性,我们使用了两个详细的(之前开发并测试过的)模拟模型。其中一个模拟的是没有慢性阻塞性肺病(COPD)的受试者,另一个模拟的是患有慢性阻塞性肺病的患者。每个模型(慢性阻塞性肺病和非慢性阻塞性肺病)都模拟了睡眠呼吸暂停,并测量了每种 NIV 模式使呼吸正常化的能力。在这两种 NIV 模式中,都使用了低水平持续气道正压,并在算法中加入了备用呼吸频率,以最大限度地降低呼吸做功率。这两种模式都能在睡眠呼吸暂停发作后 5 分钟内帮助呼吸恢复正常(在此期间,血气处于安全范围内)。AVAPS NIV 和带有 CCARV 的 PS NIV 具有治疗睡眠呼吸暂停的潜在价值。要全面评估这些 NIV 模式的有效性,还需要进行临床评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Healthcare Technology Letters
Healthcare Technology Letters Health Professions-Health Information Management
CiteScore
6.10
自引率
4.80%
发文量
12
审稿时长
22 weeks
期刊介绍: Healthcare Technology Letters aims to bring together an audience of biomedical and electrical engineers, physical and computer scientists, and mathematicians to enable the exchange of the latest ideas and advances through rapid online publication of original healthcare technology research. Major themes of the journal include (but are not limited to): Major technological/methodological areas: Biomedical signal processing Biomedical imaging and image processing Bioinstrumentation (sensors, wearable technologies, etc) Biomedical informatics Major application areas: Cardiovascular and respiratory systems engineering Neural engineering, neuromuscular systems Rehabilitation engineering Bio-robotics, surgical planning and biomechanics Therapeutic and diagnostic systems, devices and technologies Clinical engineering Healthcare information systems, telemedicine, mHealth.
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