"M-APNE评分:OSA的客观选工具,突出启发性流量量曲线下的区域"
Celal Satici1, Damla Azakli2, Sinem Nedime Sokucu1
1Yedikule Chest Disease and Thoracic Surgery Training and Research Hospital, Pulmonology, Istanbul, Turkey.
Sleep & breathing = Schlaf & Atmung
|January 14, 2025
概括
一个新的M-APNE评分有效地使用客观数据选阻塞性睡眠呼吸暂停 (OSA). 这种工具提高了准确性和资源分配,与现有的方法相比,用于识别患有OSA风险较高的患者.
科学领域:
- 睡眠医学 睡眠医学
- 呼吸系统医学 呼吸系统医学
- 诊断工具 诊断工具 诊断工具
背景情况:
- 多睡眠学 (PSG) 是阻断性睡眠呼吸暂停 (OSA) 诊断的黄金标准,但资源密集.
- 由于依赖于自我报告的症状,当前的查工具可能不足以诊断OSA.
- 需要客观的查工具来改善OSA诊断和资源分配.
研究的目的:
- 开发和验证一个客观的评分系统,用于查阻塞性睡眠呼吸暂停 (OSA).
- 识别患有OSA风险较高的个体,优化诊断资源的使用.
- 克服主观,基于症状的查工具的局限性.
主要方法:
- 开发了一个多变量逻辑回归模型,使用884名患者 (490名OSA) 的数据.
- 纳入的客观变量:男性性别,年龄,牙模式,吸气流量-体积曲线 (AreaFI) 下的面积和子周长.
- 使用曲线下面面积 (AUC) 度量,将M-APNE评分的分辨准确度与无呼吸暂停评分和无症状多变量呼吸暂停预测 (sMVAP) 模型进行了比较.
主要成果:
- 在培训,验证和测试组中,M-APNE评分表现良好,AUC从0.76到0.82.8不等.
- 与无呼吸失眠评分和sMVAP模型相比,M-APNE评分显示出更高的分辨准确性 (p < 0.001).
- 该模型表现出良好的校准,由Hosmer Lemeshow测试 (p = 0.46) 表示.
结论:
- M-APNE评分是用于查阻塞性睡眠呼吸暂停 (OSA) 的可靠和客观工具.
- 这种评分系统有可能减少错误分类错误,提高诊断准确度.
- M-APNE评分可以帮助更好地分配用于OSA诊断的资源.
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