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前额叶θ波协调性及抑郁症状早期缓解对难治性抑郁症患者抗抑郁治疗结局预测的有效性:自然主义数据分析

The effectiveness of prefrontal theta cordance and early reduction of depressive symptoms in the prediction of antidepressant treatment outcome in patients with resistant depression: analysis of naturalistic data.

作者信息

Bares Martin, Novak Tomas, Kopecek Miloslav, Brunovsky Martin, Stopkova Pavla, Höschl Cyril

机构信息

Prague Psychiatric Center, Ustavni 91, 181 03, Prague 8-Bohnice, Czech Republic,

出版信息

Eur Arch Psychiatry Clin Neurosci. 2015 Feb;265(1):73-82. doi: 10.1007/s00406-014-0506-8. Epub 2014 May 22.

DOI:10.1007/s00406-014-0506-8
PMID:24848366
Abstract

Current studies suggest that an early improvement of depressive symptoms and the reduction of prefrontal theta cordance value predict the subsequent response to antidepressants. The aim of our study was (1) to compare the predictive abilities of early clinical improvement defined as ≥ 20 % reduction in Montgomery and Åsberg Depression Rating Scale (MADRS) total score at week 1 and 2, and the decrease of prefrontal theta cordance at week 1 in resistant depressive patients and (2) to assess whether the combination of individual predictors yields more robust predictive power than either predictor alone. Eighty-seven subjects were treated (≥ 4 weeks) with various antidepressants chosen according to the judgment of attending psychiatrists. Areas under curve (AUC) were calculated to compare predictive effect of defined single predictors (≥ 20 % reduction in MADRS total score at week 1 and 2, and the decrease of cordance at week 1) and combined prediction models. AUCs of all three predictors were not statistically different (pair-wise comparison). The model combining all predictors yielded an AUC value 0.91 that was significantly higher than AUCs of each individual predictor. The results indicate that the combined predictor model may be a useful and clinically meaningful tool for the prediction of antidepressant response in patients with resistant depression.

摘要

目前的研究表明,抑郁症状的早期改善以及前额叶θ波一致性值的降低可预测后续对抗抑郁药的反应。我们研究的目的是:(1)比较在第1周和第2周时蒙哥马利-阿斯伯格抑郁评定量表(MADRS)总分降低≥20%所定义的早期临床改善以及第1周时前额叶θ波一致性降低对难治性抑郁症患者的预测能力;(2)评估个体预测指标的组合是否比单一预测指标具有更强的预测能力。根据主治精神科医生的判断,选择了87名受试者接受各种抗抑郁药治疗(≥4周)。计算曲线下面积(AUC)以比较所定义的单一预测指标(第1周和第2周时MADRS总分降低≥20%,以及第1周时一致性降低)和联合预测模型的预测效果。所有三个预测指标的AUC在统计学上无差异(两两比较)。结合所有预测指标的模型得出的AUC值为0.91,显著高于每个单一预测指标的AUC。结果表明,联合预测指标模型可能是预测难治性抑郁症患者对抗抑郁药反应的一种有用且具有临床意义的工具。

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本文引用的文献

1
EEG biomarkers in major depressive disorder: discriminative power and prediction of treatment response.重度抑郁症的 EEG 生物标志物:鉴别能力和治疗反应预测。
Int Rev Psychiatry. 2013 Oct;25(5):604-18. doi: 10.3109/09540261.2013.816269.
2
Is it worth assessing progress as early as week 2 to adapt antidepressive treatment strategy? Results from a study on agomelatine and a global meta-analysis.是否值得早在第 2 周就评估进展以调整抗抑郁治疗策略?阿戈美拉汀的一项研究和全球荟萃分析的结果。
Eur Psychiatry. 2013 Aug;28(6):362-71. doi: 10.1016/j.eurpsy.2012.11.004. Epub 2013 Feb 14.
3
Neurophysiological predictors of non-response to rTMS in depression.
基于深度学习的 EEG 研究:rTMS 治疗反应的性别差异。
Brain Behav. 2022 Aug;12(8):e2696. doi: 10.1002/brb3.2696. Epub 2022 Jul 25.
4
Predicting Sex From EEG: Validity and Generalizability of Deep-Learning-Based Interpretable Classifier.基于脑电图预测性别:基于深度学习的可解释分类器的有效性和可推广性
Front Neurosci. 2020 Oct 27;14:589303. doi: 10.3389/fnins.2020.589303. eCollection 2020.
5
The Changes of qEEG Approximate Entropy during Test of Variables of Attention as a Predictor of Major Depressive Disorder.作为重度抑郁症预测指标的注意力变量测试期间定量脑电图近似熵的变化
Brain Sci. 2020 Nov 7;10(11):828. doi: 10.3390/brainsci10110828.
6
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Clin EEG Neurosci. 2021 Jan;52(1):3-28. doi: 10.1177/1550059420954054. Epub 2020 Sep 25.
7
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8
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J Neuropsychiatry Clin Neurosci. 2020 Spring;32(2):185-190. doi: 10.1176/appi.neuropsych.19030081. Epub 2019 Aug 9.
9
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Front Psychiatry. 2019 Jan 14;9:768. doi: 10.3389/fpsyt.2018.00768. eCollection 2018.
10
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Front Psychiatry. 2018 Oct 26;9:511. doi: 10.3389/fpsyt.2018.00511. eCollection 2018.
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Brain Stimul. 2012 Oct;5(4):569-76. doi: 10.1016/j.brs.2011.12.003. Epub 2012 Feb 22.
4
The neurobiology of depression.抑郁症的神经生物学。
Br Med Bull. 2012;101:127-45. doi: 10.1093/bmb/lds004. Epub 2012 Feb 14.
5
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6
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J Clin Psychiatry. 2011 Nov;72(11):1478-84. doi: 10.4088/JCP.10m06419.
7
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Neuropharmacology. 2012 Jan;62(1):264-9. doi: 10.1016/j.neuropharm.2011.07.017. Epub 2011 Jul 22.
8
Electroencephalography-derived biomarkers of antidepressant response.基于脑电图的抗抑郁反应生物标志物。
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9
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J Affect Disord. 2011 Mar;129(1-3):183-90. doi: 10.1016/j.jad.2010.09.007. Epub 2010 Sep 28.
10
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Neuropsychopharmacology. 2011 Jan;36(1):183-206. doi: 10.1038/npp.2010.166. Epub 2010 Sep 22.