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心肺耦联分析预测抑郁患者的早期治疗反应:一项初步研究。

Cardiopulmonary coupling analysis predicts early treatment response in depressed patients: A pilot study.

机构信息

Department of Sleep Medicine, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, China.

Department of Sleep Medicine, Shenzhen Kangning Hospital, No. 1080 Cuizhu Road, Shenzhen, Guangdong 518020, China.

出版信息

Psychiatry Res. 2019 Jun;276:6-11. doi: 10.1016/j.psychres.2019.04.002. Epub 2019 Apr 2.

DOI:10.1016/j.psychres.2019.04.002
PMID:30981097
Abstract

This pilot study evaluated the effect of anti-depression treatment on sleep quality and symptoms of depression in patients with major depressive disorder, and identified cardiopulmonary coupling (CPC) indices for predicting early response. Forty-one Han Chinese patients with major depressive disorder were assessed for objective sleep quality before treatment (baseline) and at 2 weeks using CPC. Subjective sleep quality and depression levels were measured at baseline and 2 and 4 weeks after treatment, using the 24-item Hamilton Rating Scale for Depression (HAMD-24), Epworth Sleepiness Scale (ESS), and Pittsburgh Sleep Quality Index (PSQI). Objective and subjective sleep quality, and depression symptoms, improved after treatment. Significant correlations were found between CPC variables at baseline and depression symptom improvement after 2 weeks of treatment. Total sleep time at baseline significantly correlated with somnipathy score reduction at week 2. Total in-bed time at week 2 significantly correlated with reductions in anxiety/somatic symptoms and retardation score, and total HAMD-24 score at week 4. In binary logistic regression, the total in-bed time at baseline was significantly associated with treatment response. Our findings suggest that objective sleep quality measured by CPC analysis is useful for predicting treatment response to antidepressant treatment in patients with major depressive disorder.

摘要

这项初步研究评估了抗抑郁治疗对伴有重度抑郁症患者睡眠质量和抑郁症状的影响,并确定了心肺耦联(CPC)指数,以预测早期反应。41 名汉族重度抑郁症患者在治疗前(基线)和 2 周时使用 CPC 评估客观睡眠质量。使用 24 项汉密尔顿抑郁量表(HAMD-24)、爱泼沃斯嗜睡量表(ESS)和匹兹堡睡眠质量指数(PSQI)在基线和治疗 2 周和 4 周时测量主观睡眠质量和抑郁水平。治疗后,客观和主观睡眠质量以及抑郁症状均得到改善。在基线时的 CPC 变量与治疗 2 周后的抑郁症状改善之间存在显著相关性。基线时的总睡眠时间与第 2 周时的失眠症状评分降低显著相关。第 2 周的总卧床时间与焦虑/躯体症状和迟滞评分以及第 4 周的总 HAMD-24 评分降低显著相关。在二项逻辑回归中,基线时的总卧床时间与治疗反应显著相关。我们的研究结果表明,通过 CPC 分析测量的客观睡眠质量有助于预测抗抑郁治疗对重度抑郁症患者的治疗反应。

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