商用智能手表的性能与夜间连续氧度测量和睡眠呼吸暂停评估的多睡眠指标相比
Sara H Browne1,2, Florin Vaida3, Anya Umlauf4
1Department of Medicine, University of California, San Diego, La Jolla, California.
概括
一个商业手腕设备准确地测量了夜间的氧和度,显示了检测和评估阻塞性睡眠呼吸暂停严重性的潜力. 这项技术可以提高睡眠呼吸暂停测试和治疗监测的可访问性.
科学领域:
- 睡眠医学 睡眠医学
- 生物医学工程 生物医学工程
- 可穿戴技术可穿戴技术
背景情况:
- 阻塞性睡眠呼吸暂停 (OSA) 诊断依赖于多睡眠学 (PSG),这是资源密集的.
- 持续的夜间氧和 (SpO2) 监测对于评估OSA严重程度至关重要.
- 商业手腕设备 (WDs) 为可访问的SpO2监测提供了一个潜在的替代方案.
研究的目的:
- 为了评估商业手腕设备 (WD) 的准确性和精度,用于连续一夜间的SpO2测量.
- 通过将其氧气脱度指数 (ODI) 与 PSG 衍生的 ODI 和呼吸暂停-呼吸暂停指数 (AHI) 进行比较,评估 WD 估计睡眠障碍呼吸严重性的能力.
- 为了确定WD在检测OSA及其严重程度方面的有效性,使用和不使用睡眠问卷数据.
主要方法:
- 51名参与者同时进行了一夜间的PSG和WD (三星Galaxy Watch 4) 监测.
- 来自WD的SpO2数据与使用Bland-Altman图表和根-平均平方误差 (RMSE) 的PSG测量进行了比较.
- 后勤回归模型和接收器操作特征 (ROC) 曲线被用于评估WD对OSA严重性 (ODI和AHI) 的预测性能.
主要成果:
- 与PSG相比,WD显示SpO2测量的偏差低 (0.91%) 和RMSE (2.54%),表明可靠的准确性.
- 单靠WD测量,就能在预测中度至重度OSA (AHI>15和>30) 方面实现出色的区别.
- 纳入睡眠问卷数据进一步提高了WD对OSA严重性的预测准确性 (AUC高达0.943对于AHI>30).
结论:
- 商用手腕设备提供可靠的 SpO2 夜间监测,准确度与 PSG 相当.
- 睡眠呼吸量测量,特别是与睡眠问卷相结合时,显示出在识别和确定阻塞性睡眠呼吸暂停的严重程度方面具有很好的潜力.
- 进一步评估纵向WD使用是有必要的,以探索其在改善OSA测试可访问性和支持治疗后续的作用.
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