Literature DB >> 25586212

The international Study to Predict Optimized Treatment in Depression (iSPOT-D): outcomes from the acute phase of antidepressant treatment.

Radu Saveanu1, Amit Etkin2, Anne-Marie Duchemin1, Andrea Goldstein-Piekarski2, Anett Gyurak2, Charles Debattista3, Alan F Schatzberg3, Satish Sood4, Claire V A Day5, Donna M Palmer5, William R Rekshan6, Evian Gordon6, A John Rush7, Leanne M Williams8.   

Abstract

We aimed to characterize a large international cohort of outpatients with MDD within a practical trial design, in order to identify clinically useful predictors of outcomes with three common antidepressant medications in acute-phase treatment of major depressive disorder (MDD). The international Study to Predict Optimized Treatment in Depression has presently enrolled 1008 treatment-seeking outpatients (18-65 years old) at 17 sites (five countries). At pre-treatment, we characterized participants by symptoms, clinical history, functional status and comorbidity. Participants were randomized to receive escitalopram, sertraline or venlafaxine-extended release and managed by their physician following usual treatment practices. Symptoms, function, quality of life, and side-effect outcomes were assessed 8 weeks later. The relationship of anxiety to response and remission was assessed by comorbid Axis I diagnosis, presence/absence of anxiety symptoms, and dimensionally by anxiety symptom severity. The sample had moderate-to-severe symptoms, but substantial comorbidity and functional impairment. Of completers at week 8, 62.2% responded and 45.4% reached remission on the 17-item Hamilton Rating Scale for Depression; 53.3% and 37.6%, respectively on the 16-item Quick Inventory of Depressive Symptoms. Functional improvements were seen across all domains. Most participants had side effects that occurred with a frequency of 25% or less and were reported as being in the "none" to minimal/mild range for intensity and burden. Outcomes did not differ across medication groups. More severe anxiety symptoms at pre-treatment were associated with lower remission rates across all medications, independent of depressive severity, diagnostic comorbidity or side effects. Across medications, we found consistent and similar improvements in symptoms and function, and a dimensional prognostic effect of comorbid anxiety symptoms. These equivalent outcomes across treatments lay the foundation for identifying potential neurobiological and genetic predictors of treatment outcome in this sample.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Escitalopram; International practical trial; Major depressive disorder; Response and remission; Sertraline; Venlafaxine-XR

Mesh:

Substances:

Year:  2014        PMID: 25586212     DOI: 10.1016/j.jpsychires.2014.12.018

Source DB:  PubMed          Journal:  J Psychiatr Res        ISSN: 0022-3956            Impact factor:   4.791


  40 in total

1.  Anxious and non-anxious major depressive disorder in the World Health Organization World Mental Health Surveys.

Authors:  R C Kessler; N A Sampson; P Berglund; M J Gruber; A Al-Hamzawi; L Andrade; B Bunting; K Demyttenaere; S Florescu; G de Girolamo; O Gureje; Y He; C Hu; Y Huang; E Karam; V Kovess-Masfety; S Lee; D Levinson; M E Medina Mora; J Moskalewicz; Y Nakamura; F Navarro-Mateu; M A Oakley Browne; M Piazza; J Posada-Villa; T Slade; M Ten Have; Y Torres; G Vilagut; M Xavier; Z Zarkov; V Shahly; M A Wilcox
Journal:  Epidemiol Psychiatr Sci       Date:  2015-02-27       Impact factor: 6.892

2.  The chicken and egg of anxiety and depression.

Authors:  A Schatzberg
Journal:  Epidemiol Psychiatr Sci       Date:  2015-06       Impact factor: 6.892

3.  Depression in the Primary Care Setting. Reply.

Authors:  Lawrence T Park; Carlos A Zarate
Journal:  N Engl J Med       Date:  2019-06-06       Impact factor: 91.245

Review 4.  Effect of treatments for depression on quality of life: a meta-analysis.

Authors:  Stefan G Hofmann; Joshua Curtiss; Joseph K Carpenter; Shelley Kind
Journal:  Cogn Behav Ther       Date:  2017-04-25

5.  Human amygdala engagement moderated by early life stress exposure is a biobehavioral target for predicting recovery on antidepressants.

Authors:  Andrea N Goldstein-Piekarski; Mayuresh S Korgaonkar; Erin Green; Trisha Suppes; Alan F Schatzberg; Trevor Hastie; Charles B Nemeroff; Leanne M Williams
Journal:  Proc Natl Acad Sci U S A       Date:  2016-10-10       Impact factor: 11.205

6.  Heart rate variability as a biomarker of anxious depression response to antidepressant medication.

Authors:  Katharina Kircanski; Leanne M Williams; Ian H Gotlib
Journal:  Depress Anxiety       Date:  2018-10-12       Impact factor: 6.505

Review 7.  Precision psychiatry: a neural circuit taxonomy for depression and anxiety.

Authors:  Leanne M Williams
Journal:  Lancet Psychiatry       Date:  2016-04-14       Impact factor: 27.083

8.  Do comorbid social and other anxiety disorders predict outcomes during and after cognitive therapy for depression?

Authors:  Jeffrey R Vittengl; Lee Anna Clark; Jasper A J Smits; Michael E Thase; Robin B Jarrett
Journal:  J Affect Disord       Date:  2018-08-25       Impact factor: 4.839

9.  Deep phenotyping of attention impairments and the 'Inattention Biotype' in Major Depressive Disorder.

Authors:  Arielle S Keller; Tali M Ball; Leanne M Williams
Journal:  Psychol Med       Date:  2019-09-03       Impact factor: 7.723

10.  Effect of antidepressant treatment on cognitive impairments associated with depression: a randomised longitudinal study.

Authors:  Carrie Shilyansky; Leanne M Williams; Anett Gyurak; Anthony Harris; Timothy Usherwood; Amit Etkin
Journal:  Lancet Psychiatry       Date:  2016-03-16       Impact factor: 27.083

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