Hermans Lieke W A, Regis Marta, Fonseca Pedro, Hoondert Bertram, Leufkens Tim R M, Overeem Sebastiaan, van Gilst Merel M
Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.
Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, the Netherlands.
Nat Sci Sleep. 2021 Mar 12;13:349-360. doi: 10.2147/NSS.S295699. eCollection 2021.
Assessing objective measures of sleep fragmentation could yield important features reflecting impaired sleep quality in people with insomnia. Survival analysis allows the specific examination of the stability of NREM sleep, REM sleep and wake. The objective of this study was to assess the differences between survival dynamics of NREM sleep, REM sleep and wake between people with insomnia and healthy controls.
We analyzed retrospective polysomnography recordings from 86 people with insomnia and 94 healthy controls. For each participant, survival dynamics of REM sleep, NREM sleep and wake were represented using Weibull distributions. We used lasso penalized parameter selection in combination with linear regression to analyze the difference between participant groups with respect to the Weibull scale and shape parameters, while correcting for age, sex, total sleep time and relevant interaction effects.
Significant effects of group were found for the NREM scale parameter, and for the wake scale and shape parameters. Results indicated that people with insomnia had less stable NREM sleep and more stable wake after sleep onset compared to healthy controls. Additionally, the altered distribution of wake segment lengths indicated an increased difficulty to fall asleep after longer awakenings in the insomnia group. However, these differences were mainly observed in younger participants. Significant effects of group for the survival parameters of REM sleep were not found.
As illustrated by our results, survival analysis can be very useful for disentangling different types of sleep fragmentation in people with insomnia. For instance, the current findings suggest that people with insomnia have an increased fragmentation of NREM sleep, but not necessarily of REM sleep. Additional research into the underlying mechanisms of NREM sleep fragmentation could possibly lead to a better understanding of impaired sleep quality in people with insomnia, and consequently to improved treatment.
评估睡眠片段化的客观指标可能会得出反映失眠患者睡眠质量受损的重要特征。生存分析允许对非快速眼动睡眠(NREM睡眠)、快速眼动睡眠(REM睡眠)和清醒状态的稳定性进行具体检查。本研究的目的是评估失眠患者与健康对照者在NREM睡眠、REM睡眠和清醒状态的生存动态之间的差异。
我们分析了86名失眠患者和94名健康对照者的回顾性多导睡眠图记录。对于每个参与者,REM睡眠、NREM睡眠和清醒状态的生存动态用威布尔分布表示。我们使用套索惩罚参数选择结合线性回归来分析参与者组在威布尔尺度和形状参数方面的差异,同时校正年龄、性别、总睡眠时间和相关的交互作用。
在NREM尺度参数、清醒状态的尺度和形状参数方面发现了显著的组效应。结果表明,与健康对照者相比,失眠患者的NREM睡眠稳定性较差,睡眠开始后的清醒状态更稳定。此外,清醒片段长度分布的改变表明失眠组在较长时间醒来后入睡困难增加。然而,这些差异主要在年轻参与者中观察到。未发现组对REM睡眠生存参数的显著效应。
正如我们的结果所示,生存分析对于理清失眠患者不同类型的睡眠片段化非常有用。例如,目前的研究结果表明,失眠患者的NREM睡眠片段化增加,但REM睡眠不一定如此。对NREM睡眠片段化潜在机制的进一步研究可能有助于更好地理解失眠患者的睡眠质量受损情况,从而改善治疗。