Sleep Diagnostics and Monitoring Technology in Obstructive Sleep Apnea.

Q1 Medicine
Joyce K Lee-Iannotti
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引用次数: 0

Abstract

Objective: This article helps neurologists understand modern approaches to diagnosing obstructive sleep apnea, including the clinical role and limitations of home sleep apnea testing, and learn how they can integrate wearable and noncontact technologies into patient care to improve diagnostic efficiency, monitor treatment, and reduce health disparities.

Latest developments: Advances in home sleep apnea testing have expanded beyond traditional type III monitors to include wearable devices such as wrist sensors and smart rings and noncontact "nearable" systems that use radar or acoustic signals. Since 2019, the US Food and Drug Administration (FDA) has cleared numerous software-as-a-medical-device platforms that leverage artificial intelligence and multisignal integration to estimate sleep parameters. These tools improve accessibility, particularly for patients who are unable or unwilling to undergo in-laboratory polysomnography. However, awareness of racial bias in pulse oximetry, regulatory gaps, variable accuracy, and privacy concerns highlight the need for further validation to ensure equitable and reliable clinical use.

Essential points: Obstructive sleep apnea is common and underdiagnosed, particularly in patients with neurologic conditions. In-laboratory polysomnography remains the gold standard for the diagnosis of obstructive sleep apnea but is limited by cost and access, whereas home sleep apnea testing offers a validated alternative for appropriate patients. Wearable and nearable technologies expand diagnostic options, improving usability and scalability, although their accuracy and validation vary. Neurologists play a key role in identifying patients at high risk, selecting the appropriate test, and interpreting results with awareness of limitations such as pulse oximetry bias. Consumer devices can raise awareness but should not replace clinical evaluation, and modern continuous positive airway pressure (CPAP) platforms enhance remote monitoring and management.

阻塞性睡眠呼吸暂停的睡眠诊断与监测技术。
目的:本文帮助神经科医生了解诊断阻塞性睡眠呼吸暂停的现代方法,包括家庭睡眠呼吸暂停测试的临床作用和局限性,并学习如何将可穿戴和非接触式技术整合到患者护理中,以提高诊断效率,监测治疗情况,减少健康差距。最新进展:家庭睡眠呼吸暂停测试的进展已经超越了传统的III型监测仪,包括手腕传感器和智能戒指等可穿戴设备,以及使用雷达或声学信号的非接触式“近距离”系统。自2019年以来,美国食品和药物管理局(FDA)已经批准了许多利用人工智能和多信号集成来估计睡眠参数的软件即医疗设备平台。这些工具提高了可及性,特别是对于不能或不愿接受实验室多导睡眠检查的患者。然而,意识到脉搏血氧仪的种族偏见、监管差距、不同的准确性和隐私问题突出了进一步验证以确保公平可靠的临床使用的必要性。要点:阻塞性睡眠呼吸暂停很常见,但诊断不足,特别是在有神经系统疾病的患者中。实验室多导睡眠图仍然是诊断阻塞性睡眠呼吸暂停的金标准,但受成本和获取途径的限制,而家庭睡眠呼吸暂停测试为合适的患者提供了一种经过验证的替代方法。可穿戴和近距离技术扩大了诊断选择,提高了可用性和可扩展性,尽管它们的准确性和有效性各不相同。神经科医生在识别高危患者、选择合适的检测方法以及在意识到脉搏血氧测量偏差等局限性的情况下解释结果方面发挥着关键作用。消费者设备可以提高意识,但不应取代临床评估,现代持续气道正压(CPAP)平台增强了远程监测和管理。
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
CiteScore
5.80
自引率
0.00%
发文量
175
期刊介绍: Continue your professional development on your own schedule with Continuum: Lifelong Learning in Neurology®, the American Academy of Neurology" self-study continuing medical education publication. Six times a year you"ll learn from neurology"s experts in a convenient format for home or office. Each issue includes diagnostic and treatment outlines, clinical case studies, a topic-relevant ethics case, detailed patient management problem, and a multiple-choice self-assessment examination.
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