Abstract

BackgroundLimited controlled data exist to guide treatment choices for clinicians caring for patients with major depressive disorder (MDD). Although many putative predictors of treatment response have been reported, most were identified through retrospective analyses of existing datasets and very few have been replicated in a manner that can impact clinical practice. One major confound in previous studies examining predictors of treatment response is the patient’s treatment history, which may affect both the predictor of interest and treatment outcomes. Moreover, prior treatment history provides an important source of selection bias, thereby limiting generalizability. Consequently, we initiated a randomized clinical trial designed to identify factors that moderate response to three treatments for MDD among patients never treated previously for the condition.Methods/designTreatment-naïve adults aged 18 to 65 years with moderate-to-severe, non-psychotic MDD are randomized equally to one of three 12-week treatment arms: (1) cognitive behavior therapy (CBT, 16 sessions); (2) duloxetine (30–60 mg/d); or (3) escitalopram (10–20 mg/d). Prior to randomization, patients undergo multiple assessments, including resting state functional magnetic resonance imaging (fMRI), immune markers, DNA and gene expression products, and dexamethasone-corticotropin-releasing hormone (Dex/CRH) testing. Prior to or shortly after randomization, patients also complete a comprehensive personality assessment. Repeat assessment of the biological measures (fMRI, immune markers, and gene expression products) occurs at an early time-point in treatment, and upon completion of 12-week treatment, when a second Dex/CRH test is also conducted. Patients remitting by the end of this acute treatment phase are then eligible to enter a 21-month follow-up phase, with quarterly visits to monitor for recurrence. Non-remitters are offered augmentation treatment for a second 12-week course of treatment, during which they receive a combination of CBT and antidepressant medication. Predictors of the primary outcome, remission, will be identified for overall and treatment-specific effects, and a statistical model incorporating multiple predictors will be developed to predict outcomes.DiscussionThe PReDICT study’s evaluation of biological, psychological, and clinical factors that may differentially impact treatment outcomes represents a sizeable step toward developing personalized treatments for MDD. Identified predictors should help guide the selection of initial treatments, and identify those patients most vulnerable to recurrence, who thus warrant maintenance or combination treatments to achieve and maintain wellness.Trial registrationClinicaltrials.gov Identifier: NCT00360399. Registered 02 AUG 2006. First patient randomized 09 FEB 2007.

Highlights

  • Limited controlled data exist to guide treatment choices for clinicians caring for patients with major depressive disorder (MDD)

  • The PReDICT study’s evaluation of biological, psychological, and clinical factors that may differentially impact treatment outcomes represents a sizeable step toward developing personalized treatments for MDD

  • It is difficult to ascertain the financial burden of MDD, one well-conducted study in the United States (US) found that among primary care patients, healthcare costs of individuals suffering from MDD were twice those of individuals without MDD [3]; these differences resulted largely from increased healthcare costs associated with depressed patients’ utilization of medical services at four times the rate of patients who did not suffer from depression

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Summary

Discussion

Previous treatment with psychotherapy or medication may impact subsequent response to treatment and may produce persisting biological, behavioral, cognitive, and emotional changes [137]. He has served on speakers’ bureaus or received honoraria from Astra-Zeneca, Eli Lilly, GSK, Pfizer, and Wyeth. MJO reports research support from NIH, Lundbeck A/S, Cyberonics, Eli Lilly, Ortho- McNeil Janssen, AstraZeneca, Dainippon Sumitomo Pharma, SK Life Sciences, and Sunovion Pharmaceuticals He has served as a consultant to H Lundbeck A/S, and RJ Reynolds, and has a patent for a method of assessing antidepressant drug therapy via transport inhibition of monoamine neurotransmitters (US 7,148,027 B2). He serves on a scientific advisory board for Questcor Pharmaceuticals.

Background
Methods/design
Primary psychiatric diagnosis of DSM-IV-defined major depressive disorder
Lifetime history of DSM-IV defined bipolar disorder or schizophrenia
Urine drug screen positive for drugs of abuse at screening visit
Neuroimaging methods
44. National Institute of Mental Health
46. World Medical Association
50. Williams JB
54. Hamilton M
Findings
62. Sheehan DV
Full Text
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