Literature DB >> 25815419

Depression Subtypes in Predicting Antidepressant Response: A Report From the iSPOT-D Trial.

Bruce A Arnow1, Christine Blasey1, Leanne M Williams1, Donna M Palmer1, William Rekshan1, Alan F Schatzberg1, Amit Etkin1, Jayashri Kulkarni1, James F Luther1, A John Rush1.   

Abstract

OBJECTIVE: The study aims were 1) to describe the proportions of individuals who met criteria for melancholic, atypical, and anxious depressive subtypes, as well as subtype combinations, in a large sample of depressed outpatients, and 2) to compare subtype profiles on remission and change in depressive symptoms after acute treatment with one of three antidepressant medications.
METHOD: Participants 18-65 years of age (N=1,008) who met criteria for major depressive disorder were randomly assigned to 8 weeks of treatment with escitalopram, sertraline, or extended-release venlafaxine. Participants were classified by subtype. Those who met criteria for no subtype or multiple subtypes were classified separately, resulting in eight mutually exclusive groups. A mixed-effects model using the intent-to-treat sample compared the groups' symptom score trajectories, and logistic regression compared likelihood of remission (defined as a score ≤5 on the 16-item Quick Inventory of Depressive Symptomatology-Self-Report).
RESULTS: Thirty-nine percent of participants exhibited a pure-form subtype, 36% met criteria for more than one subtype, and 25% did not meet criteria for any subtype. All subtype groups exhibited a similar significant trajectory of symptom reduction across the trial. Likelihood of remission did not differ significantly between subtype groups, and depression subtype was not a moderator of treatment effect.
CONCLUSIONS: There was substantial overlap of the three depressive subtypes, and individuals in all subtype groups responded similarly to the three antidepressants. The consistency of these findings with those of the Sequenced Treatment Alternatives to Relieve Depression trial suggests that subtypes may be of minimal value in antidepressant selection.

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Year:  2015        PMID: 25815419     DOI: 10.1176/appi.ajp.2015.14020181

Source DB:  PubMed          Journal:  Am J Psychiatry        ISSN: 0002-953X            Impact factor:   18.112


  43 in total

Review 1.  Toward Circuit Mechanisms of Pathophysiology in Depression.

Authors:  Timothy Spellman; Conor Liston
Journal:  Am J Psychiatry       Date:  2020-05-01       Impact factor: 18.112

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

4.  Can C-reactive protein inform antidepressant medication selection in depressed outpatients? Findings from the CO-MED trial.

Authors:  Manish K Jha; Abu Minhajuddin; Bharathi S Gadad; Tracy Greer; Bruce Grannemann; Abigail Soyombo; Taryn L Mayes; A John Rush; Madhukar H Trivedi
Journal:  Psychoneuroendocrinology       Date:  2017-01-24       Impact factor: 4.905

5.  Functional Impairment and Changes in Depression Subtypes for Women in STAR*D: A Latent Transition Analysis.

Authors:  Christine M Ulbricht; Anthony J Rothschild; Kate L Lapane
Journal:  J Womens Health (Larchmt)       Date:  2015-10-21       Impact factor: 2.681

6.  Do baseline sub-threshold hypomanic symptoms affect acute-phase antidepressant outcome in outpatients with major depressive disorder? Preliminary findings from the randomized CO-MED trial.

Authors:  Manish K Jha; Ashley L Malchow; Bruce D Grannemann; A John Rush; Madhukar H Trivedi
Journal:  Neuropsychopharmacology       Date:  2018-08-15       Impact factor: 7.853

Review 7.  Canadian Network for Mood and Anxiety Treatments (CANMAT) 2016 Clinical Guidelines for the Management of Adults with Major Depressive Disorder: Section 3. Pharmacological Treatments.

Authors:  Sidney H Kennedy; Raymond W Lam; Roger S McIntyre; S Valérie Tourjman; Venkat Bhat; Pierre Blier; Mehrul Hasnain; Fabrice Jollant; Anthony J Levitt; Glenda M MacQueen; Shane J McInerney; Diane McIntosh; Roumen V Milev; Daniel J Müller; Sagar V Parikh; Norma L Pearson; Arun V Ravindran; Rudolf Uher
Journal:  Can J Psychiatry       Date:  2016-08-02       Impact factor: 4.356

Review 8.  Peripheral biomarkers of major depression and antidepressant treatment response: Current knowledge and future outlooks.

Authors:  Bharathi S Gadad; Manish K Jha; Andrew Czysz; Jennifer L Furman; Taryn L Mayes; Michael P Emslie; Madhukar H Trivedi
Journal:  J Affect Disord       Date:  2017-07-05       Impact factor: 4.839

9.  Unpacking Major Depressive Disorder: From Classification to Treatment Selection.

Authors:  Sidney H Kennedy; Amanda K Ceniti
Journal:  Can J Psychiatry       Date:  2017-12-26       Impact factor: 4.356

10.  Interleukin 17 selectively predicts better outcomes with bupropion-SSRI combination: Novel T cell biomarker for antidepressant medication selection.

Authors:  Manish K Jha; Abu Minhajuddin; Bharathi S Gadad; Tracy L Greer; Taryn L Mayes; Madhukar H Trivedi
Journal:  Brain Behav Immun       Date:  2017-07-08       Impact factor: 7.217

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