• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

抑郁症状改善轨迹及相关预测因素分析:度洛西汀在双盲安慰剂对照试验中的分析

Trajectories of depression symptom improvement and associated predictor analysis: An analysis of duloxetine in double-blind placebo-controlled trials.

作者信息

Tokuoka Hirofumi, Takahashi Hitoshi, Ozeki Akichika, Kuga Atsushi, Yoshikawa Aki, Tsuji Toshinaga, Wohlreich Madelaine M

机构信息

Eli Lilly Japan K.K., Neuroscience and Pain Products, Bio-Medicines, Medicines Development Unit Japan, Kobe, Hyogo, Japan.

Department of Psychiatry, Tokyo Women's Medical University, Tokyo, Japan.

出版信息

J Affect Disord. 2016 May 15;196:171-80. doi: 10.1016/j.jad.2016.02.039. Epub 2016 Feb 17.

DOI:10.1016/j.jad.2016.02.039
PMID:26922146
Abstract

BACKGROUND

In the treatment of major depressive disorder (MDD), it is not fully understood how individual symptoms improve over time (trajectory) in remitters. This study compared symptom improvement trajectories, as measured with the 17-item Hamilton Depression Rating Scale (HAM-D17), in remitters and nonremitters.

METHODS

This analysis is based on 10 placebo-controlled, randomized, double-blind trials of duloxetine (40-60mg/day) for treatment of MDD from baseline up to week 8. Remission was defined as a HAM-D17 total score ≤7 at week 8 (last observation carried forward). Trajectories of HAM-D17 items were assessed by mixed model repeated measures analysis for treatment and remitter-nonremitter comparisons. Grouping of the trajectories was performed by factor analysis. Predictor analysis using HAM-D17 items was conducted by logistic regression.

RESULTS

There were 1555 patients in the duloxetine group (489 [31.4%] remitters) and 1206 patients in the placebo group (290 [24.0%] remitters; P<.0001). For most items, the difference in trajectories between remitters and nonremitters appeared at early time points and increased over time. Treatment response trajectories were very similar for duloxetine and placebo remitters, while duloxetine nonremitters improved more than placebo nonremitters. For duloxetine remitters, we found 3 trajectory groups of HAM-D17 items. The predictor analysis showed that improvement in 6 individual items at week 1 or 2 was significantly associated with remission at week 8.

LIMITATIONS

Generalizability of these results may be limited by the relatively short observation period used to define remission.

CONCLUSIONS

Early monitoring of some symptoms of depression may prove useful in guiding treatment decisions.

摘要

背景

在重度抑郁症(MDD)的治疗中,对于病情缓解者个体症状随时间改善的轨迹(变化情况)尚未完全了解。本研究比较了病情缓解者和未缓解者使用17项汉密尔顿抑郁量表(HAM-D17)测量的症状改善轨迹。

方法

该分析基于10项度洛西汀(40 - 60mg/天)治疗MDD的安慰剂对照、随机、双盲试验,从基线期至第8周。缓解定义为第8周时HAM-D17总分≤7(末次观察值结转)。通过混合模型重复测量分析评估HAM-D17各项目的轨迹,以进行治疗组及缓解者与未缓解者的比较。轨迹分组通过因子分析进行。使用HAM-D17各项目进行预测分析采用逻辑回归。

结果

度洛西汀组有1555例患者(489例[31.4%]病情缓解者),安慰剂组有1206例患者(290例[24.0%]病情缓解者;P <.0001)。对于大多数项目,缓解者和未缓解者的轨迹差异在早期时间点出现,并随时间增加。度洛西汀和安慰剂缓解者的治疗反应轨迹非常相似,而度洛西汀未缓解者比安慰剂未缓解者改善更多。对于度洛西汀缓解者,我们发现HAM-D17项目有3个轨迹组。预测分析表明,第1周或第2周6个单项的改善与第8周的缓解显著相关。

局限性

这些结果的可推广性可能受到用于定义缓解的相对较短观察期的限制。

结论

对某些抑郁症状的早期监测可能有助于指导治疗决策。

相似文献

1
Trajectories of depression symptom improvement and associated predictor analysis: An analysis of duloxetine in double-blind placebo-controlled trials.抑郁症状改善轨迹及相关预测因素分析:度洛西汀在双盲安慰剂对照试验中的分析
J Affect Disord. 2016 May 15;196:171-80. doi: 10.1016/j.jad.2016.02.039. Epub 2016 Feb 17.
2
Changes in energy during treatment of depression: an analysis of duloxetine in double-blind placebo-controlled trials.抑郁症治疗期间的能量变化:度洛西汀在双盲安慰剂对照试验中的分析。
Int J Clin Pract. 2015 Oct;69(10):1139-48. doi: 10.1111/ijcp.12658. Epub 2015 May 16.
3
A randomized, double-blind study of increasing or maintaining duloxetine dose in patients without remission of major depressive disorder after initial duloxetine therapy.一项关于在度洛西汀初始治疗后未缓解的重度抑郁症患者中增加或维持度洛西汀剂量的随机双盲研究。
J Clin Psychiatry. 2008 Sep;69(9):1383-92. doi: 10.4088/jcp.v69n0905.
4
The effect of duloxetine on painful physical symptoms in depressed patients: do improvements in these symptoms result in higher remission rates?度洛西汀对抑郁症患者疼痛性躯体症状的影响:这些症状的改善是否会导致更高的缓解率?
J Clin Psychiatry. 2004 Apr;65(4):521-30. doi: 10.4088/jcp.v65n0411.
5
Baseline patient characteristics associated with placebo remission and their impact on remission with duloxetine and selected SSRI antidepressants.与安慰剂缓解相关的基线患者特征及其对度洛西汀和选定 SSRI 抗抑郁药缓解的影响。
Curr Med Res Opin. 2013 Jul;29(7):827-33. doi: 10.1185/03007995.2013.795140. Epub 2013 Apr 25.
6
Novel Augmentation Strategies in Major Depression.重度抑郁症的新型强化治疗策略
Dan Med J. 2017 Apr;64(4).
7
Desvenlafaxine 50 and 100 mg/d in the treatment of major depressive disorder: an 8-week, phase III, multicenter, randomized, double-blind, placebo-controlled, parallel-group trial and a post hoc pooled analysis of three studies.度洛西汀50毫克/天和100毫克/天治疗重度抑郁症:一项为期8周的III期多中心随机双盲安慰剂对照平行组试验及三项研究的事后汇总分析。
Clin Ther. 2009 Jun;31 Pt 1:1405-23. doi: 10.1016/j.clinthera.2009.07.006.
8
A meta-analysis of the efficacy of venlafaxine extended release 75-225 mg/day for the treatment of major depressive disorder.文拉法辛缓释片75 - 225毫克/天治疗重度抑郁症疗效的荟萃分析。
Curr Med Res Opin. 2017 Feb;33(2):317-326. doi: 10.1080/03007995.2016.1255185. Epub 2016 Nov 28.
9
Early Improvements in Individual Symptoms to Predict Later Remission in Major Depressive Disorder Treated With Mirtazapine.米氮平治疗的重度抑郁症患者个体症状早期改善对预测后期缓解的作用
J Clin Pharmacol. 2016 Sep;56(9):1111-9. doi: 10.1002/jcph.710. Epub 2016 Mar 7.
10
Duloxetine 60 mg once-daily in the treatment of painful physical symptoms in patients with major depressive disorder.度洛西汀每日一次60毫克用于治疗重度抑郁症患者的疼痛性躯体症状。
J Psychiatr Res. 2005 Jan;39(1):43-53. doi: 10.1016/j.jpsychires.2004.04.011.

引用本文的文献

1
Baseline depressive symptoms as predictors of efficacy and tolerability of the treatment with duloxetine: a network analysis approach.基线抑郁症状作为度洛西汀治疗疗效和耐受性的预测指标:一种网络分析方法
Front Psychiatry. 2023 Jun 16;14:1210289. doi: 10.3389/fpsyt.2023.1210289. eCollection 2023.
2
Evidence for machine learning guided early prediction of acute outcomes in the treatment of depressed children and adolescents with antidepressants.机器学习指导下抗抑郁药治疗抑郁儿童和青少年急性结局的早期预测证据。
J Child Psychol Psychiatry. 2022 Nov;63(11):1347-1358. doi: 10.1111/jcpp.13580. Epub 2022 Mar 15.
3
Prediction of short-term antidepressant response using probabilistic graphical models with replication across multiple drugs and treatment settings.
使用具有复制功能的概率图模型预测短期抗抑郁反应,该模型跨越多种药物和治疗环境。
Neuropsychopharmacology. 2021 Jun;46(7):1272-1282. doi: 10.1038/s41386-020-00943-x. Epub 2021 Jan 15.
4
Predicting antidepressant response by monitoring early improvement of individual symptoms of depression: individual patient data meta-analysis.通过监测抑郁个体症状的早期改善来预测抗抑郁反应:个体患者数据荟萃分析。
Br J Psychiatry. 2019 Jan;214(1):4-10. doi: 10.1192/bjp.2018.122. Epub 2018 Jun 28.
5
Predicting treatment outcomes of major depressive disorder by early improvement in painful physical symptoms: a pooled analysis of double-blind, placebo-controlled trials of duloxetine.通过疼痛性躯体症状的早期改善预测重度抑郁症的治疗结果:度洛西汀双盲、安慰剂对照试验的汇总分析
Neuropsychiatr Dis Treat. 2017 Sep 25;13:2457-2467. doi: 10.2147/NDT.S143093. eCollection 2017.