开发一种诊断模型来检测轻度认知障碍的年轻和中年患者的阻断性睡眠呼吸暂停:一个前性观察性研究
Shuo Wang1, Ji-Min Fan2,3,4, Mian-Mian Xie2,3,4
1The School of Nursing, Fujian Medical University, Fuzhou, China.
Frontiers in neurology
|September 5, 2024
概括
阻塞性睡眠呼吸暂停 (OSA) 患者通常没有被诊断为轻度认知障碍 (MCI). 这项研究开发了使用可访问数据的简单查模型,以帮助识别OSA患者的MCI风险,帮助早期干预.
科学领域:
- 神经学 神经学
- 睡眠医学 睡眠医学
- 认知科学 认知科学
背景情况:
- 阻塞性睡眠呼吸暂停 (OSA) 经常与轻度认知障碍 (MCI) 相关,但由于诊断复杂性,MCI 在OSA患者中经常未被诊断出来.
- 在OSA患者中早期识别和干预MCI对于潜在地预防痴呆症进展至关重要.
研究的目的:
- 开发和验证针对轻度认知障碍 (MCI) 的简单查模型,专门为阻塞性睡眠呼吸暂停 (OSA) 患者量身定制.
- 创建适用于各种医疗保健环境的工具,可供专业人士使用,无需专门的神经学专业知识.
主要方法:
- 一项前性观察性研究,涉及350名怀疑患有OSA的患者,他们接受了多睡眠和认知评估 (MoCA,数字跨度测试).
- 来自233名新诊断的OSA患者的数据被分为培训 (70%) 和验证 (30%) 组.
- 使用后勤回归来识别预测因素,并开发并评估了三种伴随着nomograms的模型的准确性.
主要成果:
- 在新诊断的OSA患者中,有38.2%患有MCI.
- 开发了三个模型:模型1 (BMI,教育),模型2 (模型1 + N1,DST_B) 和模型3 (模型1 + DST).
- 所有模型都表现出强大的预测准确性 (C统计数据范围从0.803到0.849) 和校准.
结论:
- 在OSA患者中开发了三种有效和简单的MCI查模型,利用2-4个易于获得的参数.
- 这些模型为医疗保健专业人员提供了一个实用的工具,以识别有风险的OSA患者,以便进一步评估和干预.
- 促进及时管理,以潜在地减轻OSA患者的认知衰退.
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