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在异常性高睡眠症患者的睡眠惯性视觉模拟尺度中,临床重要差异最小
Richard K Bogan1, Douglas S Fuller2, Marisa Whalen2
1University of South Carolina School of Medicine, Columbia, SC.
概括
这项研究为在异常性高睡眠症患者的睡眠惯性视觉模拟量表 (SI-VAS) 确定了临床重要差异 (MCID) 的最小值. 这些发现有助于临床医生评估睡眠惯性有意义的改善,增强患者的护理.
科学领域:
- 神经学 神经学
- 睡眠医学 睡眠医学
- 临床测量 临床测量
背景情况:
- 睡眠惯性是异常性高睡眠症的重要症状,影响日常功能.
- 目前的睡眠惯性测量工具缺乏确定的临床重要差异 (MCID).
研究的目的:
- 建议在患有异常性高睡眠症的成年人中使用睡眠惯性视觉模拟量表 (SI-VAS) 进行最小临床重要差异 (MCID).
- 为了验证SI-VAS与已建立的临床尺度对异常性高睡眠症严重程度和患者报告的结果.
主要方法:
- 从低氧酸盐的第三阶段随机性戒断研究 (NCT03533114) 后期分析数据.
- SI-VAS MCID估计以患者的全球变化印象 (PGIc),异常性高睡眠严重程度量表 (IHSS) 和睡眠问卷的功能结果 (FOSQ-10) 为点.
主要成果:
- SI-VAS得分变化与PGIc有很强的相关性 (P<0.0001),这表明MCID为10-12毫米.
- 在SI-VAS和IHSS (r=0.79,P<0.0001) 和FOSQ-10 (r=-0.74,P<0.0001) 之间观察到很高的相关性.
- 估计的MCID为每4单位IHSS变化6.0毫米,每2单位FOSQ-10变化8.5毫米.
结论:
- 为SI-VAS建立一个MCID增强了它在评估睡眠惯性方面的临床实用性.
- 本MCID提供了解释SI-VAS在异常性高睡眠症研究中的发现的背景.
- 临床医生可以使用SI-VAS MCID来确定睡眠惯性有意义的改善,从而有可能改善患者的治疗结果.
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