呼吸事件指数低估了睡眠呼吸暂停的严重程度与呼吸暂停-呼吸暂停指数相比
Minna Pitkänen1, Rajdeep Kumar Nath1,2, Henri Korkalainen1,3
1Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.
Sleep advances : a journal of the Sleep Research Society
|January 24, 2024
概括
伪造图 (PG) 低估了阻塞性睡眠呼吸暂停 (OSA) 的严重程度,而不是多睡眠图 (PSG). 调整PG计算提高了准确性,突出显示了与兴奋相关的下对于精确的OSA诊断的重要性.
科学领域:
- 睡眠医学 睡眠医学
- 呼吸系统生理学 呼吸系统生理学
背景情况:
- 测谎仪 (PG) 是诊断阻塞性睡眠呼吸暂停 (OSA) 的常见工具.
- 然而,PG缺乏脑电图,这限制了它准确评估睡眠时间和得分唤醒或低脑的能力.
- 这种差异导致PG衍生的呼吸事件指数 (REI) 和多睡眠学 (PSG) 衍生的呼吸暂停-呼吸暂停指数 (AHI) 之间的差异.
研究的目的:
- 在诊断OSA时,全面分析AHI和REI之间的差异.
- 评估不同计算方法 (TST与TAT) 对AHI和REI的影响.
- 为了确定与AHI相比,REI和修改指数的准确性,相关性和错误率.
主要方法:
- 对两个大型PSG数据集的分析 (n=1561).
- 计算常规的AHI (基于总睡眠时间 - TST) 和REI (基于总分析时间 - TAT).
- 基于TAT的AHI (AHITAT) 和基于TST的REI (REITST) 的计算,用于与AHI作为黄金标准进行比较分析.
主要成果:
- REI,AHITAT和REITST均显著低于AHI (p < 0.0001至p ≤ 0.01).这些都显著低于AHI (p < 0.0001至p ≤ 0.01).
- 对OSA严重程度的分类准确性在REI (42.1%-72.8%) 中最低,在AHITAT (68.4%-85.9%) 和REITST (65.9%-88.5%) 中得到改善.
- REITST与AHI显示了最高的相关性 (r=0.98-0.99) 和最低的平均绝对误差 (5.9-1.9),而REI具有最大的误差 (13.9-6.7).
结论:
- 与AHI相比,REI显著低估了OSA的严重程度.
- 将REI计算调整为TST (REITST) 可以提高准确性和与AHI的相关性.
- 与兴奋相关的低对于准确的OSA严重程度分类至关重要,这表明标准PG协议的局限性.
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