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评估智能手机视频片段的诊断准确性与儿童阻塞性睡眠呼吸暂停的多睡眠学相比
Cal McLean1, Zachary Jones2, Joseph Eliahoo3
1Paediatric Sleep and Respiratory, Imperial College Healthcare NHS Trust, London, UK cal.mclean1@nhs.net.
Archives of disease in childhood
|June 13, 2025
概括
一个新的视频分析工具VAPS显示出对诊断儿科阻塞性睡眠呼吸暂停综合征 (OSAS) 的前景. 这种方法可能有助于对儿童进行进一步的睡眠研究,改善早期发现和管理OSAS.
科学领域:
- 儿科睡眠医学 儿科睡眠医学
- 诊断准确性研究 诊断准确性研究
- 呼吸系统医学 呼吸系统医学
背景情况:
- 夜间多睡眠学 (PSG) 是诊断儿科阻塞性睡眠呼吸暂停综合征 (OSAS) 的黄金标准.
- 对儿科OSAS的验证查工具是有限的.
- 父母录制的视频为捕捉OSAS标志性行为提供了潜在的途径.
研究的目的:
- 为了比较标准化睡眠视频分析工具的诊断准确性,视频隐形学分析儿科睡眠呼吸暂停 (VAPS),与儿科OSAS的PSG.
- 评估VAPS作为儿科OSAS的潜在查和分类工具.
主要方法:
- 怀疑患有OSAS的2-12岁儿童接受了PSG.
- 父母记录1分钟的视频,他们的孩子在睡眠期间 (在医院和在家).
- 视频使用VAPS对9个OSAS指示性行为进行了评分,并与PSG结果进行了比较.
主要成果:
- VAPS评分显示了临床显著性和非显著性OSAS之间的良好的区分能力 (AUC=81.99%).
- 一个VAPS得分≥3显示高灵敏度 (92%) 检测OSAS.
- 当父母捕捉到最糟糕的呼吸时,AUC增加到85.45%,VAPS分数≥3达到96%的灵敏度.
结论:
- VAPS评分显示,它有可能成为对疑似儿科OSAS的儿童进行分类的有用工具.
- VAPS可以帮助引导患者进行适当的睡眠调查或治疗.
- 一个VAPS得分≤2 (低风险),3-6 (中等风险) 和≥7 (高风险) 可以指导临床决策.
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