阻塞性睡眠呼吸暂停的人工智能筛查工具：基于睡眠医疗中心门诊患者的研究。

IF 3 2区医学 Q2 CLINICAL NEUROLOGY

Nature and Science of Sleep Pub Date : 2025-03-08 eCollection Date: 2025-01-01 DOI:10.2147/NSS.S503124

Jian Tan, Wei Chen, Dan Yu, Tiantian Peng, Cheng Li, Kai Lv

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引用次数: 0

摘要

目的：由于缺乏针对不同人群的明确筛查指南，门诊人群中阻塞性睡眠呼吸暂停（OSA）的识别策略不明确，大量潜在的OSA门诊患者未被及时发现。本研究旨在评估人工智能睡眠筛查在门诊患者中的适用性和准确性，为不同人群的OSA筛查提供参考。方法：采用IV型可穿戴式人工智能睡眠监测（AISM）设备对睡眠医学中心睡眠门诊的成人进行OSA筛查，并收集患者的一般人口学资料。分析了通过AISM筛查获得的流行病学特征。评价了AISM对OSA诊断的准确性，并与多导睡眠图（PSG）进行了比较。结果：共有1492名参与者完成了所有研究。数据共1448例，其中男性1096例，女性352例，其中超重620例（42.82%），肥胖429例（29.63%）。男性患病率为78.19%，女性患病率为55.97% （χ2 = 95.72, P < 0.001）。在男性中，肥胖人群患中度至重度阻塞性睡眠呼吸暂停的风险为74.21%，而在女性中，这一风险为50%。年龄、体质指数（BMI）、氧去饱和指数（ODI）与最低氧饱和度和平均氧饱和度呈正相关和负相关。共有100名参与者完成了PSG和AISM监测，其中AISM诊断轻度OSA和中重度OSA的准确率分别为94%和98%。结论：AISM具有较好的准确性，采用客观方便的睡眠检测装置对门诊患者进行大样本筛查是可行的。睡眠门诊成人阻塞性睡眠呼吸暂停的患病率较高，年龄、性别和BMI是阻塞性睡眠呼吸暂停的危险因素。

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Artificial Intelligence Screening Tool for Obstructive Sleep Apnoea: A Study Based on Outpatients at a Sleep Medical Centre.

Purpose: Due to the lack of clear screening guidelines for different populations, identify strategies for obstructive sleep apnea (OSA) in the outpatient population are unclear, a large number of potential OSA outpatients have not been identified in time. The purpose of our study was to evaluate the applicability and accuracy of artificial intelligence sleep screening in outpatients and to provide a reference for OSA screening in different populations.

Methods: A type IV wearable artificial intelligence sleep monitoring (AISM) device was used to screen adults in the sleep clinic of the Sleep Medical Center for OSA screening, and the general demographic data of the patients were collected. The epidemiological characteristics obtained by AISM screening were analysed. The accuracy of the AISM for the diagnosis of OSA was evaluated and compared with that of polysomnography (PSG).

Results: A total of 1492 participants completed all the studies. The data included 1448 cases total, including 1096 male patients and 352 female patients, with 620 of the total patients being overweight (42.82%) and 429 being obese patients (29.63%). The prevalence of males was 78.19%, and that of females was 55.97% (χ2 = 95.72, P < 0.001). In males, the risk of moderate to severe OSA was 74.21% in obese people, while in females, the risk was 50%. Age, body mass index (BMI) and the oxygen desaturation index (ODI) were positively correlated and negatively correlated with the lowest and mean oxygen saturation. A total of 100 participants completed both PSG and AISM monitoring, and the accuracies of the AISM in diagnosing mild and moderate-to-severe OSA were 94% and 98%, respectively.

Conclusion: The AISM exhibits good accuracy, and the use of an objective and convenient sleep detection device to screen a large sample population of outpatients is feasible. The prevalence of OSA in adults in sleep clinics is high, and age, sex, and BMI are risk factors for OSA.

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来源期刊

Nature and Science of Sleep Neuroscience-Behavioral Neuroscience

CiteScore

5.70

自引率

5.90%

发文量

245

审稿时长

16 weeks

期刊介绍： Nature and Science of Sleep is an international, peer-reviewed, open access journal covering all aspects of sleep science and sleep medicine, including the neurophysiology and functions of sleep, the genetics of sleep, sleep and society, biological rhythms, dreaming, sleep disorders and therapy, and strategies to optimize healthy sleep. Specific topics covered in the journal include: The functions of sleep in humans and other animals Physiological and neurophysiological changes with sleep The genetics of sleep and sleep differences The neurotransmitters, receptors and pathways involved in controlling both sleep and wakefulness Behavioral and pharmacological interventions aimed at improving sleep, and improving wakefulness Sleep changes with development and with age Sleep and reproduction (e.g., changes across the menstrual cycle, with pregnancy and menopause) The science and nature of dreams Sleep disorders Impact of sleep and sleep disorders on health, daytime function and quality of life Sleep problems secondary to clinical disorders Interaction of society with sleep (e.g., consequences of shift work, occupational health, public health) The microbiome and sleep Chronotherapy Impact of circadian rhythms on sleep, physiology, cognition and health Mechanisms controlling circadian rhythms, centrally and peripherally Impact of circadian rhythm disruptions (including night shift work, jet lag and social jet lag) on sleep, physiology, cognition and health Behavioral and pharmacological interventions aimed at reducing adverse effects of circadian-related sleep disruption Assessment of technologies and biomarkers for measuring sleep and/or circadian rhythms Epigenetic markers of sleep or circadian disruption.