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O-48 - the International Study to Predict Optimized Treatment - in Depression: Rational, Design and Initial Findings

Published online by Cambridge University Press:  15 April 2020

A. Rush
Affiliation:
Office of Clinical Sciences, Duke NUS Graduate Medical School, Singapore, Singapore Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA Singapore Clinical Research Institute Pte Ltd, Singapore, Singapore
L.M. Williams
Affiliation:
Westmead Millennium Institute, University of Sydney Medical School, Sydney, NSW, Australia BRAINnet Foundation, San Francisco, CA
S.H. Koslow
Affiliation:
BRAINnet Foundation, San Francisco, CA American Foundation for Suicide Prevention, New York, NY
S.R. Wisniewski
Affiliation:
Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
N.J. Cooper
Affiliation:
Brain Resource International Database, Sydney, NSW, Australia
C.B. Nemeroff
Affiliation:
Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL
A.F. Schatzberg
Affiliation:
Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
E. Gordon
Affiliation:
Westmead Millennium Institute, University of Sydney Medical School, Sydney, NSW, Australia Brain Resource International Database, Sydney, NSW, Australia

Abstract

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Background

The aim of iSPOT-D is to identify biological pretreatment measures that predict or moderate MDD treatment response or remission to escitalopram, sertraline or venlafaxine; and develop a model that incorporates multiple predictors and moderators.

Methods/design

The iSPOT-D study is a multi-center, international, randomized, prospective, open-label trial (1). It is enrolling 2016 MDD outpatients (ages 18–65) from primary or specialty care practices (672 per treatment arm; 672 age-, sex- and education-matched healthy controls). Study-eligible patients are antidepressant medication (ADM) naïve or washed-out with no protocol ADM contraindications. Baseline assessments include symptoms; distress; daily function; cognitive performance; electroencephalogram and event-related potentials; heart rate and genetic measures. A subset of these baseline assessments are repeated after eight weeks of treatment. Outcomes include the 17-item Hamilton Rating Scale for Depression (primary) and self-reported depressive symptoms, social functioning, quality of life, emotional regulation, and side-effect burden (secondary). Participants may then enter a naturalistic telephone follow-up at weeks 12, 16, 24 and 52. The first half of the sample will be used to identify potential predictors and moderators, and the second half to replicate and confirm.

Discussion

First enrolment was in December 2008, and enrollment of the first 50% (1008 MDD participants) was completed in Dec 2010. iSPOT-D evaluates clinical and biological predictors of treatment response in the largest known sample of MDD collected worldwide.

Conclusion

Initial findings reveal a remission rate of 45.4% and a response rate of 62.6% after 6–8 weeks of treatment. Initial findings will be discussed including factors for response prediction and MDD subtype differences.

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Abstract
Copyright
Copyright © European Psychiatric Association 2012
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