用于预测阻塞性睡眠呼吸暂停-呼吸暂停综合征的早期嗅觉功能障碍的诺莫图:一个基于多中心的多中心研究.
Qingchun Pan1, Qi Yang1, Jing Huang2
1Department of Otolaryngology, Head and Neck Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Frontiers in neurology
|October 3, 2025
概括
这项研究开发了一种临床预测模型,以识别使用多睡眠学 (PSG) 和临床数据的嗅觉功能障碍高风险的阻断性睡眠呼吸暂停-低呼吸综合征 (OSAHS) 患者. 该模型有效预测嗅觉功能障碍,有助于早期干预.
科学领域:
- 睡眠医学 睡眠医学
- 神经学 神经学
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
背景情况:
- 阻塞性睡眠呼吸暂停-呼吸暂停综合征 (OSAHS) 与各种并发症有关,包括嗅觉功能障碍.
- 在OSAHS中早期识别患有嗅觉功能障碍的患者对于及时干预至关重要.
研究的目的:
- 开发和验证OSAHS患者嗅觉功能障碍的临床预测模型.
- 评估多睡眠学 (PSG) 参数和临床症状的综合预测值.
主要方法:
- 546名OSAHS患者的回顾性分析,分为培训,内部和外部验证集.
- 夜间的PSG用于睡眠参数评估和嗅探棒测试用于嗅觉评估.
- 拉索回归和物流回归建模,然后进行名图构造和ROC分析.
主要成果:
- 嗅觉功能障碍的总体发生率为38.64%.
- 确定了七个独立的预测因素:性别,年龄,呼吸暂停-呼吸暂停指数 (AHI),N3%,REM%,TS90%,以及蒙特利尔认知评估 (MoCA).
- 该模型表现出强大的预测效率 (AUC = 0.832) 具有良好的校准和临床效用.
结论:
- 结合性别,年龄,AHI,N3%,REM%,TS90%和MoCA的预测模型有效地识别了具有高风险的嗅觉功能障碍的OSAHS患者.
- 这种非侵入性工具为早期风险分层和干预计划提供了强大的歧视和校准.
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