Wu Danjuan, Tong Maoqing, Ji Yunxin, Ruan Liemin, Lou Zhongze, Gao He, Yang Qing
Sleep Disorder Diagnosis and Treatment Center, Department of Psychiatric, Ningbo City First Hospital, Ningbo Hospital of Zhejiang University, Zhejiang, China.
Central Laboratory of the Medical Research Center, Ningbo City First Hospital, Ningbo Hospital of Zhejiang University, Zhejiang, China.
Front Psychiatry. 2021 Sep 9;12:733998. doi: 10.3389/fpsyt.2021.733998. eCollection 2021.
To observe the changes in sleep characteristics and BDI scores in patients with short-term insomnia disorder (SID) using a longitudinal observational study. Fifty-four patients who met the criteria for SID of the International Classification of Sleep Disorders, third edition, were recruited. Depression levels were assessed using the Beck depression inventory (BDI) at enrollment and after 3 months of follow-up, respectively. Sleep characteristics were assessed by polysomnography. After 3 months of follow-up, the group was divided into SID with increased BDI score (BDI >15) and SID with normal BDI score (BDI ≤ 15) according to the total BDI score of the second assessment. The differences in rapid eye movement (REM) sleep latency, REM sleep arousal index, and NREM sleep arousal index between the two groups were statistically significant. The total BDI score was positively correlated with REM and NREM sleep arousal index and negatively correlated with REM sleep latency, which were analyzed by Pearson correlation coefficient. Multiple linear regression was used to construct a regression model to predict the risk of depression in which the prediction accuracy reached 83.7%. REM sleep fragmentation is closely associated with future depressive status in patients with SID and is expected to become an index of estimating depression risk.
采用纵向观察性研究，观察短期失眠障碍（SID）患者睡眠特征及贝克抑郁量表（BDI）评分的变化。招募了54例符合《国际睡眠障碍分类》第三版中SID标准的患者。分别在入组时和随访3个月后，使用贝克抑郁量表（BDI）评估抑郁水平。通过多导睡眠图评估睡眠特征。随访3个月后，根据第二次评估的BDI总分，将该组分为BDI评分升高的SID患者（BDI>15）和BDI评分正常的SID患者（BDI≤15）。两组之间的快速眼动（REM）睡眠潜伏期、REM睡眠唤醒指数和非快速眼动（NREM）睡眠唤醒指数差异有统计学意义。通过Pearson相关系数分析，BDI总分与REM和NREM睡眠唤醒指数呈正相关，与REM睡眠潜伏期呈负相关。采用多元线性回归构建预测抑郁风险的回归模型，预测准确率达到83.7%。REM睡眠片段化与SID患者未来的抑郁状态密切相关，有望成为评估抑郁风险的指标。
