Literature DB >> 21555156

Clinical predictors of response and remission in inpatients with depressive syndromes.

Michael Riedel1, Hans-Jürgen Möller, Michael Obermeier, Mazda Adli, Michael Bauer, Klaus Kronmüller, Peter Brieger, Gerd Laux, Wolfram Bender, Isabella Heuser, Joachim Zeiler, Wolfgang Gaebel, Rebecca Schennach-Wolff, Verena Henkel, Florian Seemüller.   

Abstract

BACKGROUND: Most predictor analyses search for single predictors or rely on data from randomized controlled trials. We aimed at detecting a set of clinical baseline variables for prediction of response and remission in 1014 naturalistically treated inpatients with major depressive episode treated for 53.62 ± 47.5 days.
METHODS: A three-staged procedure was implemented. First, univariate tests were used for finding associations with baseline variables. Second, logistic regression and third-CART analyses were used to determine predictors of response to inpatient treatment.
RESULTS: Presence of suicidality, a higher initial HAMD-21 total score, an episode length <24 months, fewer previous hospitalizations, and absence of any ICD-10F4 comorbidity predicted response in 2 different statistical models. Remission was predicted by lower HAMD-21 baseline score, episode length <24 months and fewer previous hospitalizations in both models. LIMITATION: Results were assessed by a post-hoc analysis, based on prospectively collected data. No controlled study design.
CONCLUSION: Contrary to current beliefs, baseline suicidality might be associated with higher chances for response. In addition, baseline severity might impact outcome depending on which criterion (remission or response) used.
Copyright © 2011. Published by Elsevier B.V.

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Year:  2011        PMID: 21555156     DOI: 10.1016/j.jad.2011.04.007

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  23 in total

1.  Sensitivity to changes during antidepressant treatment: a comparison of unidimensional subscales of the Inventory of Depressive Symptomatology (IDS-C) and the Hamilton Depression Rating Scale (HAMD) in patients with mild major, minor or subsyndromal depression.

Authors:  Isabella Helmreich; Stefanie Wagner; Roland Mergl; Antje-Kathrin Allgaier; Martin Hautzinger; Verena Henkel; Ulrich Hegerl; André Tadić
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2011-09-30       Impact factor: 5.270

2.  Personalized prognostic prediction of treatment outcome for depressed patients in a naturalistic psychiatric hospital setting: A comparison of machine learning approaches.

Authors:  Christian A Webb; Zachary D Cohen; Courtney Beard; Marie Forgeard; Andrew D Peckham; Thröstur Björgvinsson
Journal:  J Consult Clin Psychol       Date:  2020-01

3.  Is the Ultimate Treatment Response Predictable with Early Response in Major Depressive Episode?

Authors:  Aslı Çiftçi; Halis Ulaş; Ahmet Topuzoğlu; Zeliha Tunca
Journal:  Noro Psikiyatr Ars       Date:  2016-09-01       Impact factor: 1.339

Review 4.  Using patient self-reports to study heterogeneity of treatment effects in major depressive disorder.

Authors:  R C Kessler; H M van Loo; K J Wardenaar; R M Bossarte; L A Brenner; D D Ebert; P de Jonge; A A Nierenberg; A J Rosellini; N A Sampson; R A Schoevers; M A Wilcox; A M Zaslavsky
Journal:  Epidemiol Psychiatr Sci       Date:  2016-01-26       Impact factor: 6.892

5.  A methylation study of long-term depression risk.

Authors:  Shaunna L Clark; Mohammad W Hattab; Robin F Chan; Andrey A Shabalin; Laura K M Han; Min Zhao; Johannes H Smit; Rick Jansen; Yuri Milaneschi; Lin Ying Xie; Gerard van Grootheest; Brenda W J H Penninx; Karolina A Aberg; Edwin J C G van den Oord
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6.  Psychosocial predictors of treatment response to cognitive-behavior therapy for late-life depression: an exploratory study.

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Authors:  K J Wardenaar; H M van Loo; T Cai; M Fava; M J Gruber; J Li; P de Jonge; A A Nierenberg; M V Petukhova; S Rose; N A Sampson; R A Schoevers; M A Wilcox; J Alonso; E J Bromet; B Bunting; S E Florescu; A Fukao; O Gureje; C Hu; Y Q Huang; A N Karam; D Levinson; M E Medina Mora; J Posada-Villa; K M Scott; N I Taib; M C Viana; M Xavier; Z Zarkov; R C Kessler
Journal:  Psychol Med       Date:  2014-07-17       Impact factor: 7.723

8.  Major depressive disorder subtypes to predict long-term course.

Authors:  Hanna M van Loo; Tianxi Cai; Michael J Gruber; Junlong Li; Peter de Jonge; Maria Petukhova; Sherri Rose; Nancy A Sampson; Robert A Schoevers; Klaas J Wardenaar; Marsha A Wilcox; Ali Obaid Al-Hamzawi; Laura Helena Andrade; Evelyn J Bromet; Brendan Bunting; John Fayyad; Silvia E Florescu; Oye Gureje; Chiyi Hu; Yueqin Huang; Daphna Levinson; Maria Elena Medina-Mora; Yoshibumi Nakane; Jose Posada-Villa; Kate M Scott; Miguel Xavier; Zahari Zarkov; Ronald C Kessler
Journal:  Depress Anxiety       Date:  2014-01-14       Impact factor: 6.505

9.  Diagnostic Biomarker Hsa_circ_0126218 and Functioning Prediction in Peripheral Blood Monocular Cells of Female Patients With Major Depressive Disorder.

Authors:  Tianyi Bu; Zhengxue Qiao; Wenbo Wang; Xiuxian Yang; Jiawei Zhou; Lu Chen; Jiarun Yang; Jia Xu; Yanping Ji; Yini Wang; Wenxin Zhang; Yanjie Yang; Xiaohui Qiu; Yunmiao Yu
Journal:  Front Cell Dev Biol       Date:  2021-05-20

10.  Predictors of Remission in Acute and Continuation Treatment of Depressive Disorders.

Authors:  Ha-Yeon Kim; Hee-Joon Lee; Min Jhon; Ju-Wan Kim; Hee-Ju Kang; Ju-Yeon Lee; Sung-Wan Kim; Il-Seon Shin; Jae-Min Kim
Journal:  Clin Psychopharmacol Neurosci       Date:  2021-08-31       Impact factor: 2.582

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