推进儿童睡眠检测:一种专为家庭儿童评估设计的2型睡眠监测系统的实验室验证
Advancing Sleep Testing for Children: In-Laboratory Validation of a Type 2 Sleep-Monitoring System Designed for Home-Based Pediatric Assessment.
文献信息
| PMID | 42940751 |
|---|---|
| 原文 | 在 PubMed 查看原文 ↗ |
| 发表日期 | 2026 |
| 作者 | Benjamin D Fox |
| 作者单位 | Pulmonary Division, Shamir Medical Center, Be'er Ya'akov 7033001, Israel. |
| 期刊 | Children (Basel, Switzerland) |
| SCI 分区 | Q1 |
| IF | 2.7 |
| 研究类型 | 临床研究 · 临床 |
| 所属专科 | 耳科 |
中文摘要
背景: 旨在支持家庭评估的综合2型睡眠监测系统可能改善儿童睡眠评估的可及性,同时保留对睡眠结构和呼吸事件的评估。本研究评估了一种可穿戴2型睡眠监测系统与标准实验室多导睡眠监测在儿童中的临床性能。
方法: 因夜间睡眠评估转诊的儿童同时使用Dormotech可穿戴2型系统和实验室多导睡眠监测(Nox A1)进行记录。记录按照美国睡眠医学会指南进行人工判读。主要结局为呼吸暂停低通气指数(AHI)和严重程度分类;次要结局包括整体睡眠-觉醒和呼吸参数、可用性和安全性。
结果: 24名儿童完成了监督下的实验室记录并纳入分析(中位年龄10.5岁;第25-75百分位数,8.8-13.3;50.0%女性)。Dormotech的中位AHI为2.2(第25-75百分位数,0.9-3.4)事件/小时,多导睡眠监测为1.3(0.6-3.6)事件/小时(p = 0.808)。AHI严重程度分类显示高度一致(κ = 0.896),Bland-Altman配对差异(Nox - Dormotech)中位数为-0.2事件/小时,经验95%一致性界限为-1.9至6.7事件/小时。次要睡眠或呼吸参数未观察到显著差异。用户体验良好,无设备相关不良事件。
结论: 该综合2型系统在儿童呼吸和整体睡眠-觉醒指标方面与实验室多导睡眠监测显示出强一致性。这些发现证明了在监督实验室条件下的一致性,并为未来评估该系统在无监督使用环境中性能的研究提供了基础。
英文摘要
BACKGROUND: Comprehensive Type 2 sleep-monitoring systems designed to support home-based assessment may improve access to pediatric sleep assessment while preserving evaluation of sleep architecture and respiratory events. This study evaluated the clinical performance of a wearable Type 2 sleep monitoring system compared with standard in-laboratory polysomnography in children.
METHODS: Children referred for overnight sleep evaluation underwent simultaneous recordings using the Dormotech wearable Type 2 system and in-laboratory polysomnography (Nox A1). Recordings were manually scored according to American Academy of Sleep Medicine guidelines. Primary outcomes were apnea-hypopnea index (AHI) and severity classification; secondary outcomes included global sleep-wake and respiratory parameters, usability, and safety.
RESULTS: Twenty-four children completed supervised in-laboratory recordings and were included in the analysis (median age, 10.5 years; 25th-3.6) events/h with polysomnography (p = 0.808). AHI severity classification showed high agreement (κ = 0.896), with a med75th percentiles, 8.8-13.3; 50.0% female). Median AHI was 2.2 (25th-75th percentiles, 0.9-3.4) events/h with Dormotech and 1.3 (0.6-3.6) events/h with polysomnography (p = 0.808). AHI severity classification showed high agreement (κ = 0.896), with a median Bland-Altman paired difference (Nox - Dormotech) of -0.2 events/h and empirical 95% limits of agreement of -1.9 to 6.7 events/h. No significant differences were observed across secondary sleep or respiratory parameters. User experience was favorable, with no device-related adverse events.
CONCLUSIONS: The comprehensive Type 2 system demonstrated strong agreement with in-laboratory polysomnography across respiratory and global sleep-wake measures in children. These findings demonstrate agreement under supervised laboratory conditions and provide a foundation for future studies evaluating the system's performance in unsupervised use settings.