文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

使用可穿戴光学传感器检测睡眠呼吸暂停的挑战和陷阱:比较研究。

The Challenges and Pitfalls of Detecting Sleep Hypopnea Using a Wearable Optical Sensor: Comparative Study.

机构信息

Center for Sleep Medicine, Sleep Research and Epileptology, Barmelweid, Switzerland.

Barmelweid Academy, Clinic Barmelweid AG, Barmelweid, Switzerland.

出版信息

J Med Internet Res. 2021 Jul 29;23(7):e24171. doi: 10.2196/24171.


DOI:10.2196/24171
PMID:34326039
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8367170/
Abstract

BACKGROUND: Obstructive sleep apnea (OSA) is the most prevalent respiratory sleep disorder occurring in 9% to 38% of the general population. About 90% of patients with suspected OSA remain undiagnosed due to the lack of sleep laboratories or specialists and the high cost of gold-standard in-lab polysomnography diagnosis, leading to a decreased quality of life and increased health care burden in cardio- and cerebrovascular diseases. Wearable sleep trackers like smartwatches and armbands are booming, creating a hope for cost-efficient at-home OSA diagnosis and assessment of treatment (eg, continuous positive airway pressure [CPAP] therapy) effectiveness. However, such wearables are currently still not available and cannot be used to detect sleep hypopnea. Sleep hypopnea is defined by ≥30% drop in breathing and an at least 3% drop in peripheral capillary oxygen saturation (Spo) measured at the fingertip. Whether the conventional measures of oxygen desaturation (OD) at the fingertip and at the arm or wrist are identical is essentially unknown. OBJECTIVE: We aimed to compare event-by-event arm OD (arm_OD) with fingertip OD (finger_OD) in sleep hypopneas during both naïve sleep and CPAP therapy. METHODS: Thirty patients with OSA underwent an incremental, stepwise CPAP titration protocol during all-night in-lab video-polysomnography monitoring (ie, 1-h baseline sleep without CPAP followed by stepwise increments of 1 cmHO pressure per hour starting from 5 to 8 cmHO depending on the individual). Arm_OD of the left biceps muscle and finger_OD of the left index fingertip in sleep hypopneas were simultaneously measured by frequency-domain near-infrared spectroscopy and video-polysomnography photoplethysmography, respectively. Bland-Altman plots were used to illustrate the agreements between arm_OD and finger_OD during baseline sleep and under CPAP. We used t tests to determine whether these measurements significantly differed. RESULTS: In total, 534 obstructive apneas and 2185 hypopneas were recorded. Of the 2185 hypopneas, 668 (30.57%) were collected during baseline sleep and 1517 (69.43%), during CPAP sleep. The mean difference between finger_OD and arm_OD was 2.86% (95% CI 2.67%-3.06%, t=28.28; P<.001; 95% limits of agreement [LoA] -2.27%, 8.00%) during baseline sleep and 1.83% (95% CI 1.72%-1.94%, t=31.99; P<.001; 95% LoA -2.54%, 6.19%) during CPAP. Using the standard criterion of 3% saturation drop, arm_OD only recognized 16.32% (109/668) and 14.90% (226/1517) of hypopneas at baseline and during CPAP, respectively. CONCLUSIONS: arm_OD is 2% to 3% lower than standard finger_OD in sleep hypopnea, probably because the measured arm_OD originates physiologically from arterioles, venules, and capillaries; thus, the venous blood adversely affects its value. Our findings demonstrate that the standard criterion of ≥3% OD drop at the arm or wrist is not suitable to define hypopnea because it could provide large false-negative results in diagnosing OSA and assessing CPAP treatment effectiveness.

摘要

背景:阻塞性睡眠呼吸暂停(OSA)是最常见的呼吸睡眠障碍,在普通人群中发病率为 9%至 38%。由于缺乏睡眠实验室或专家以及金标准实验室多导睡眠图诊断的高昂费用,约 90%的疑似 OSA 患者未得到诊断,这导致了患者生活质量下降,并增加了心脑血管疾病的医疗负担。可穿戴睡眠追踪器(如智能手表和臂带)正在兴起,为低成本的家庭 OSA 诊断和评估治疗(如持续气道正压通气 [CPAP] 治疗)效果带来了希望。然而,这些可穿戴设备目前尚不可用,无法用于检测睡眠呼吸暂停低通气。睡眠呼吸暂停低通气定义为呼吸下降≥30%,并且末梢毛细血管血氧饱和度(Spo)在指尖至少下降 3%。指尖和手臂或手腕上的常规氧减饱和度(OD)测量是否相同尚不清楚。 目的:我们旨在比较睡眠呼吸暂停低通气事件期间臂 OD(arm_OD)和指尖 OD(finger_OD)在未经 CPAP 治疗和 CPAP 治疗期间的差异。 方法:30 名 OSA 患者在全夜视频多导睡眠监测下进行递增式 CPAP 滴定方案(即 1 小时基线睡眠无 CPAP,然后根据个体情况每小时递增 1 cmHO 压力,从 5 递增至 8 cmHO)。睡眠呼吸暂停低通气期间,分别通过频域近红外光谱和视频多导睡眠监测光电容积描记法同时测量左二头肌的 arm_OD 和左食指指尖的 finger_OD。Bland-Altman 图用于说明基线睡眠和 CPAP 期间 arm_OD 和 finger_OD 之间的一致性。我们使用 t 检验来确定这些测量值是否存在显著差异。 结果:共记录了 534 次阻塞性呼吸暂停和 2185 次呼吸暂停低通气。在 2185 次呼吸暂停低通气中,668 次(30.57%)发生在基线睡眠期间,1517 次(69.43%)发生在 CPAP 睡眠期间。在基线睡眠期间,手指 OD 和臂 OD 的平均差值为 2.86%(95%置信区间 2.67%-3.06%,t=28.28;P<.001;95%限差值[-2.27%,8.00%]),CPAP 期间的平均差值为 1.83%(95%置信区间 1.72%-1.94%,t=31.99;P<.001;95%限差值[-2.54%,6.19%])。使用 3%饱和度下降的标准标准,臂 OD 在基线和 CPAP 期间仅分别识别出 16.32%(109/668)和 14.90%(226/1517)的呼吸暂停低通气。 结论:在睡眠呼吸暂停低通气中,臂 OD 比标准指尖 OD 低 2%至 3%,这可能是因为测量的臂 OD 源自生理上的动静脉、小静脉和毛细血管,因此静脉血会影响其值。我们的研究结果表明,手臂或手腕上的标准≥3%OD 下降标准不适合定义呼吸暂停低通气,因为它可能会导致 OSA 诊断和 CPAP 治疗效果评估的大量假阴性结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3f4/8367170/2d530bae564c/jmir_v23i7e24171_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3f4/8367170/18206d25bf2f/jmir_v23i7e24171_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3f4/8367170/3a36c1248d97/jmir_v23i7e24171_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3f4/8367170/edcde926bc4d/jmir_v23i7e24171_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3f4/8367170/eedd532de3a5/jmir_v23i7e24171_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3f4/8367170/2d530bae564c/jmir_v23i7e24171_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3f4/8367170/18206d25bf2f/jmir_v23i7e24171_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3f4/8367170/3a36c1248d97/jmir_v23i7e24171_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3f4/8367170/edcde926bc4d/jmir_v23i7e24171_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3f4/8367170/eedd532de3a5/jmir_v23i7e24171_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3f4/8367170/2d530bae564c/jmir_v23i7e24171_fig5.jpg

相似文献

[1]
The Challenges and Pitfalls of Detecting Sleep Hypopnea Using a Wearable Optical Sensor: Comparative Study.

J Med Internet Res. 2021-7-29

[2]
Quantitative Changes in Muscular and Capillary Oxygen Desaturation Measured by Optical Sensors during Continuous Positive Airway Pressure Titration for Obstructive Sleep Apnea.

Biosensors (Basel). 2021-12-21

[3]
Polysomnography in patients with obstructive sleep apnea: an evidence-based analysis.

Ont Health Technol Assess Ser. 2006

[4]
Clinical guidelines for the manual titration of positive airway pressure in patients with obstructive sleep apnea.

J Clin Sleep Med. 2008-4-15

[5]
Continuous positive airway pressure device-based automated detection of obstructive sleep apnea compared to standard laboratory polysomnography.

Sleep Breath. 2009-10-14

[6]
Rules for scoring respiratory events in sleep: update of the 2007 AASM Manual for the Scoring of Sleep and Associated Events. Deliberations of the Sleep Apnea Definitions Task Force of the American Academy of Sleep Medicine.

J Clin Sleep Med. 2012-10-15

[7]
Accuracy of a novel auto-CPAP device to evaluate the residual apnea-hypopnea index in patients with obstructive sleep apnea.

Sleep Breath. 2015-5

[8]
Reliability of respiratory event detection with continuous positive airway pressure in moderate to severe obstructive sleep apnea - comparison of polysomnography with a device-based analysis.

Sleep Breath. 2023-8

[9]
Treatment of obstructive sleep apnea with a self-titrating continuous positive airway pressure (CPAP) system.

Sleep. 1996-7

[10]
Evaluating changes in pulse transit time drop index in patients with obstructive sleep apnea before and during CPAP therapy.

Clin Respir J. 2022-9

引用本文的文献

[1]
The Value of Smartwatches in the Health Care Sector for Monitoring, Nudging, and Predicting: Viewpoint on 25 Years of Research.

J Med Internet Res. 2024-10-25

[2]
Comparison of OPPO Watch Sleep Analyzer and Polysomnography for Obstructive Sleep Apnea Screening.

Nat Sci Sleep. 2024-2-8

[3]
The Comparison of Early Hemodynamic Response to Single-Pulse Transcranial Magnetic Stimulation following Inhibitory or Excitatory Theta Burst Stimulation on Motor Cortex.

Brain Sci. 2023-11-20

[4]
Highly integrated watch for noninvasive continual glucose monitoring.

Microsyst Nanoeng. 2022-2-23

[5]
Quantitative Changes in Muscular and Capillary Oxygen Desaturation Measured by Optical Sensors during Continuous Positive Airway Pressure Titration for Obstructive Sleep Apnea.

Biosensors (Basel). 2021-12-21

本文引用的文献

[1]
Respiratory activity extracted from wrist-worn reflective photoplethysmography in a sleep-disordered population.

Physiol Meas. 2020-7-8

[2]
A new smart wristband equipped with an artificial intelligence algorithm to detect atrial fibrillation.

Heart Rhythm. 2020-5

[3]
Frequency-Domain Techniques for Cerebral and Functional Near-Infrared Spectroscopy.

Front Neurosci. 2020-4-7

[4]
Validation of Single Centre Pre-Mobile Atrial Fibrillation Apps for Continuous Monitoring of Atrial Fibrillation in a Real-World Setting: Pilot Cohort Study.

J Med Internet Res. 2019-12-3

[5]
Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis.

J Med Internet Res. 2019-11-28

[6]
Near-infrared spectroscopy-derived muscle oxygen saturation on a 0% to 100% scale: reliability and validity of the Moxy Monitor.

J Biomed Opt. 2019-11

[7]
Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation.

N Engl J Med. 2019-11-14

[8]
Wearable technologies for developing sleep and circadian biomarkers: a summary of workshop discussions.

Sleep. 2020-2-13

[9]
Social Jetlag and Chronotypes in the Chinese Population: Analysis of Data Recorded by Wearable Devices.

J Med Internet Res. 2019-5-11

[10]
Quantitative real-time pulse oximetry with ultrafast frequency-domain diffuse optics and deep neural network processing.

Biomed Opt Express. 2018-11-5

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索