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全夜多导睡眠图研究在双相障碍和重性抑郁障碍中的鉴别作用。

Differentiation Across Bipolar Disorder and Major Depressive Disorder by Whole-Night Polysomnographic Findings.

机构信息

Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, China.

Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China.

出版信息

J Clin Psychiatry. 2024 Aug 14;85(3):23m15210. doi: 10.4088/JCP.23m15210.

Abstract

. There is growing evidence that understanding the role of sleep disturbance in bipolar disorder (BD) and major depressive disorder (MDD) is helpful when studying the high heterogeneity of patients across psychiatric disorders. The present study was designed to investigate the transdiagnostic role of sleep disturbance measured by polysomnography (PSG) in differentiating from MDD with BD. A total of 256 patients with MDD and 107 first-episode and never medicated patients with BD using the Fourth Edition, criteria were recruited. All patients completed 1 night of PSG recording, and the changes in objective sleep structure parameters were determined by PSG analysis. We showed that patients with MDD had statistically longer rapid eye movement (REM) latency, a higher percentage of stage N2 sleep, and lower percentages of stage N3 sleep and REM sleep than those with BD after controlling for confounding factors (all < .05). Moreover, using the logistic regression analysis, we identified that REM latency was associated with BD diagnosis among the PSG sleep features. The cutoff value for PSG characteristics to differentiate BD from MDD was 261 in REM latency (sensitivity: 41.4% and specificity: 84.1%). Our findings suggest that PSG-measured sleep abnormalities, such as reduced REM latency, may be a diagnostic differentiating factor between MDD and BD, indicating their roles in identifying homogeneous transdiagnostic subtypes across psychiatric disorders.

摘要

越来越多的证据表明,在研究精神障碍患者的高度异质性时,了解睡眠障碍在双相情感障碍 (BD) 和重度抑郁症 (MDD) 中的作用是有帮助的。本研究旨在通过多导睡眠图 (PSG) 测量睡眠障碍,探讨其在区分 MDD 和 BD 中的跨诊断作用。共招募了 256 名 MDD 患者和 107 名首发和未经药物治疗的 BD 患者,采用第四版标准。所有患者均完成了 1 晚 PSG 记录,并通过 PSG 分析确定客观睡眠结构参数的变化。我们发现,在控制混杂因素后,与 BD 相比,MDD 患者的 REM 潜伏期明显更长,N2 期睡眠百分比更高,N3 期和 REM 期睡眠百分比更低(均<.05)。此外,通过逻辑回归分析,我们确定 REM 潜伏期是 PSG 睡眠特征与 BD 诊断相关的因素。PSG 特征区分 BD 和 MDD 的截断值为 REM 潜伏期 261(灵敏度:41.4%,特异性:84.1%)。我们的研究结果表明,PSG 测量的睡眠异常,如 REM 潜伏期缩短,可能是 MDD 和 BD 的一个诊断区分因素,表明其在识别精神障碍跨诊断同质亚型方面的作用。

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