自动呼吸事件评分在3型家庭睡眠呼吸暂停测试中的验证。

IF 3.4 2区 医学 Q2 CLINICAL NEUROLOGY
Nature and Science of Sleep Pub Date : 2025-07-11 eCollection Date: 2025-01-01 DOI:10.2147/NSS.S541933
Nanako Shiroshita, Ryoko Obata, Fusae Kawana, Mitsue Kato, Akihiro Sato, Sayaki Ishiwata, Shoichiro Yatsu, Hiroki Matsumoto, Jun Shitara, Azusa Murata, Megumi Shimizu, Takao Kato, Shoko Suda, Yasuhiro Tomita, Masaru Hiki, Ryo Naito, Takatoshi Kasai
{"title":"自动呼吸事件评分在3型家庭睡眠呼吸暂停测试中的验证。","authors":"Nanako Shiroshita, Ryoko Obata, Fusae Kawana, Mitsue Kato, Akihiro Sato, Sayaki Ishiwata, Shoichiro Yatsu, Hiroki Matsumoto, Jun Shitara, Azusa Murata, Megumi Shimizu, Takao Kato, Shoko Suda, Yasuhiro Tomita, Masaru Hiki, Ryo Naito, Takatoshi Kasai","doi":"10.2147/NSS.S541933","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Home sleep apnea tests (HSATs) using polygraphy devices are becoming increasingly important for evaluating obstructive sleep apnea. Alice NightOne, a widely used polygraphy device, includes automatic scoring software; however, more reliable scoring results can be provided by incorporating advanced algorithmic systems like Somnolyzer. Despite this, the accuracy of automatic scoring of this polygraphy device using such applications has not been specifically investigated. Thus, in this study, we aimed to compare the respiratory event indices (REIs) obtained via automatic scoring versus manual scoring.</p><p><strong>Patients and methods: </strong>Data of eligible patients who underwent HSAT with this polygraphy device were retrospectively analyzed using the following three methods: 1) manual scoring; 2) default automatic scoring of the analysis software; and 3) automatic scoring with the Somnolyzer system. The REIs were calculated using these three methods and expressed as mREI, aREI, and sREI, respectively. Correlations and agreements between the aREI, sREI, and mREI were assessed.</p><p><strong>Results: </strong>Data from 20 patients were analyzed. The mean mREI, aREI, and sREI were 14.7±13.3, 13.7±11.8, and 14.3±13.4 events/h, respectively. A strong correlation was found between aREI and mREI (coefficient, 0.976; P<0.01), with a mean difference between them of 1.0 and a limit of agreement of -5.3 to 7.3. The correlation between sREI and mREI was more prominent (coefficient, 0.996; P<0.001); their mean difference was 0.1, with a limit of agreement of -2.1 to 2.9.</p><p><strong>Conclusion: </strong>Automatic scoring of REI using this polygraphy device showed good correlation and agreement with manual scoring. The favorable correlation and agreement were more pronounced with the Somnolyzer system.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"1629-1637"},"PeriodicalIF":3.4000,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12264349/pdf/","citationCount":"0","resultStr":"{\"title\":\"Validation of Automated Respiratory Event Scoring in Type 3 Home Sleep Apnea Testing.\",\"authors\":\"Nanako Shiroshita, Ryoko Obata, Fusae Kawana, Mitsue Kato, Akihiro Sato, Sayaki Ishiwata, Shoichiro Yatsu, Hiroki Matsumoto, Jun Shitara, Azusa Murata, Megumi Shimizu, Takao Kato, Shoko Suda, Yasuhiro Tomita, Masaru Hiki, Ryo Naito, Takatoshi Kasai\",\"doi\":\"10.2147/NSS.S541933\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>Home sleep apnea tests (HSATs) using polygraphy devices are becoming increasingly important for evaluating obstructive sleep apnea. Alice NightOne, a widely used polygraphy device, includes automatic scoring software; however, more reliable scoring results can be provided by incorporating advanced algorithmic systems like Somnolyzer. Despite this, the accuracy of automatic scoring of this polygraphy device using such applications has not been specifically investigated. Thus, in this study, we aimed to compare the respiratory event indices (REIs) obtained via automatic scoring versus manual scoring.</p><p><strong>Patients and methods: </strong>Data of eligible patients who underwent HSAT with this polygraphy device were retrospectively analyzed using the following three methods: 1) manual scoring; 2) default automatic scoring of the analysis software; and 3) automatic scoring with the Somnolyzer system. The REIs were calculated using these three methods and expressed as mREI, aREI, and sREI, respectively. Correlations and agreements between the aREI, sREI, and mREI were assessed.</p><p><strong>Results: </strong>Data from 20 patients were analyzed. The mean mREI, aREI, and sREI were 14.7±13.3, 13.7±11.8, and 14.3±13.4 events/h, respectively. A strong correlation was found between aREI and mREI (coefficient, 0.976; P<0.01), with a mean difference between them of 1.0 and a limit of agreement of -5.3 to 7.3. The correlation between sREI and mREI was more prominent (coefficient, 0.996; P<0.001); their mean difference was 0.1, with a limit of agreement of -2.1 to 2.9.</p><p><strong>Conclusion: </strong>Automatic scoring of REI using this polygraphy device showed good correlation and agreement with manual scoring. The favorable correlation and agreement were more pronounced with the Somnolyzer system.</p>\",\"PeriodicalId\":18896,\"journal\":{\"name\":\"Nature and Science of Sleep\",\"volume\":\"17 \",\"pages\":\"1629-1637\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12264349/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature and Science of Sleep\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/NSS.S541933\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature and Science of Sleep","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/NSS.S541933","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

摘要

目的:使用测谎仪的家庭睡眠呼吸暂停测试(hsat)在评估阻塞性睡眠呼吸暂停方面变得越来越重要。广泛使用的测谎仪Alice NightOne包括自动评分软件;然而,更可靠的评分结果可以通过结合先进的算法系统,如Somnolyzer。尽管如此,使用这种应用程序对这种测谎仪自动评分的准确性尚未进行专门研究。因此,在本研究中,我们旨在比较通过自动评分和手动评分获得的呼吸事件指数(REIs)。患者和方法:采用以下三种方法回顾性分析使用该测谎仪进行HSAT检查的符合条件的患者的数据:1)人工评分;2)分析软件默认自动评分;3)使用Somnolyzer系统自动评分。利用这三种方法计算rei,分别表示为mREI、aREI和sREI。评估了aREI、sREI和mREI之间的相关性和一致性。结果:对20例患者资料进行分析。平均mREI、aREI和sREI分别为14.7±13.3、13.7±11.8和14.3±13.4个事件/h。aREI与mREI呈极显著相关(系数0.976;结论:该测谎仪对REI的自动评分与人工评分具有良好的相关性和一致性。这种良好的相关性和一致性在促睡剂系统中更为明显。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Validation of Automated Respiratory Event Scoring in Type 3 Home Sleep Apnea Testing.

Validation of Automated Respiratory Event Scoring in Type 3 Home Sleep Apnea Testing.

Validation of Automated Respiratory Event Scoring in Type 3 Home Sleep Apnea Testing.

Validation of Automated Respiratory Event Scoring in Type 3 Home Sleep Apnea Testing.

Purpose: Home sleep apnea tests (HSATs) using polygraphy devices are becoming increasingly important for evaluating obstructive sleep apnea. Alice NightOne, a widely used polygraphy device, includes automatic scoring software; however, more reliable scoring results can be provided by incorporating advanced algorithmic systems like Somnolyzer. Despite this, the accuracy of automatic scoring of this polygraphy device using such applications has not been specifically investigated. Thus, in this study, we aimed to compare the respiratory event indices (REIs) obtained via automatic scoring versus manual scoring.

Patients and methods: Data of eligible patients who underwent HSAT with this polygraphy device were retrospectively analyzed using the following three methods: 1) manual scoring; 2) default automatic scoring of the analysis software; and 3) automatic scoring with the Somnolyzer system. The REIs were calculated using these three methods and expressed as mREI, aREI, and sREI, respectively. Correlations and agreements between the aREI, sREI, and mREI were assessed.

Results: Data from 20 patients were analyzed. The mean mREI, aREI, and sREI were 14.7±13.3, 13.7±11.8, and 14.3±13.4 events/h, respectively. A strong correlation was found between aREI and mREI (coefficient, 0.976; P<0.01), with a mean difference between them of 1.0 and a limit of agreement of -5.3 to 7.3. The correlation between sREI and mREI was more prominent (coefficient, 0.996; P<0.001); their mean difference was 0.1, with a limit of agreement of -2.1 to 2.9.

Conclusion: Automatic scoring of REI using this polygraphy device showed good correlation and agreement with manual scoring. The favorable correlation and agreement were more pronounced with the Somnolyzer system.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Nature and Science of Sleep
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信