Evidence exists supporting the ability of genetic variations to influence patient drug response and side effects. Previous studies utilizing an open-label design have shown significant improvement in major depressive disorder (MDD) patient outcomes following use of the GeneSight Psychotropic (GEN) test. The first objective of this trial is to utilize a double-blinded, randomized clinical trial design to replicate previous findings of improvement in clinical outcomes in MDD subjects whose medication therapy was guided by GEN testing. Another objective is to determine the added benefit of Enhanced-GeneSight (E-GEN) compared to GEN for the pharmacogenomic guidance of treatment selections. Furthermore, this trial intends to develop an evidence-based case for the value of GEN and E-GEN to Canadian healthcare payers.
The primary objectives of this study are 1) to compare the efficacy of GEN to treatment as usual (TAU) in improving response to psychotropic treatment in outpatients suffering from a MDD and having had - within the current episode - an inadequate response to at least one psychotropic medication included in GEN; and 2) to validate the utility of the new CAMH markers and demonstrate the superior predictive capabilities and greater clinical utility of E-GEN as compared to GEN. This study is designed as a three-arm multi-centre, double-blind (participants and raters), randomized controlled trial to compare the clinical and economic outcomes of GEN, E-GEN and TAU for patients suffering from a MDD and having had - within the current episode - an inadequate response to at least one psychotropic medication included in GEN. Participants will be randomized in a 1:1:1 ratio to each of the three treatment arms. Recruitment will be 24 months. Follow-up will be 12 months. Subjects will complete short diagnostic interviews specific to their clinical diagnosis, basic metabolic measures (eg. blood pressure, weight), and provide buccal swab samples for genetic analysis (the unanalyzed buccal swabs and associated DNA will be biobanked). During the first visit, blood and urine samples will be required for laboratory panel screening and blood biobanking. Subjects will be monitored over a one year period and clinical measures and healthcare resource utilization will be obtained. Treating clinicians in the GEN and E-GEN arms will receive an easy to implement report providing pharmacogenomic guidance for prescribing psychotropic medications to their patients. The study will recruit subjects from 10 sites, stratified into 2 clusters. Nine study sites altogether will form one of the two stratified clusters. CAMH will constitute the tenth study site and the second stratified cluster.The sample size required for this study was calculated using effect size estimates drawn from a previous study conducted by Hall-Flavin et al \[Pharmacogenetics Genomics 2013; 23(10)\]. Assuming an effect size of 0.30 in HAM-D17 score favoring the treatment group, intra class coefficient between clusters of 20%, statistical power of 90%, an alpha level of 0.05, and an expected 16.7% rate of premature discontinuation by Week 8 (primary endpoint), a total of 570 subjects (i.e., 190 per treatment arm) are required to detect the same effect in this study.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
DOUBLE
Enrollment
542
Patient DNA will be collected for all subjects and measured for variations in drug target genes and in drug metabolizing genes.Recommendations for optimal choices and dose adjustments for the 33 most commonly prescribed antidepressant and antipsychotic medications will be provided to subjects randomized to the GEN arm. This pharmacogenomic-based interpretive report will be provided to treating clinicians of patients in the GEN arm of the study, allowing clinicians to use the report to support their treatment decisions.
The E-GEN test incorporates into the existing GEN product new markers that are predictive of side effect of antipsychotic-induced weight gain (AIWG). The pharmacogenomic-based interpretive report from E-GEN will be provided to treating clinicians of patients in the E-GEN arm of the study, allowing clinicians to use the report to support their treatment decisions.
Subjects randomized to the TAU arm will also require collection of patient DNA. A pharmacogenomic-based interpretive report will be generated from GEN, however, this report is not provided to the treating clinician until completion of the study.
Chatham-Kent Clinical Trials Research Center
Chatham, Ontario, Canada
Hamilton Community Health Centre Family Health Organization
Hamilton, Ontario, Canada
Hamilton Medical Research Group
Hamilton, Ontario, Canada
St. Joseph's Healthcare Hamilton (SJHH)
Hamilton, Ontario, Canada
Milestone Research
London, Ontario, Canada
London Health Sciences Centre
London, Ontario, Canada
Parkwood Institute, London
London, Ontario, Canada
Hopital Montfort
Ottawa, Ontario, Canada
Thornhill Medical Centre
Thornhill, Ontario, Canada
Canadian Phase Onward Inc.
Toronto, Ontario, Canada
...and 4 more locations
Change in depressive symptoms as assessed by the 17-item Hamilton Depression (HAM-D17) score
Mean change in the 17-item Hamilton Depression (HAM-D17) score from baseline to Week 8 of the study
Time frame: From baseline to Week 8
Change in depressive symptoms as assessed by the 16-Item Clinician Quick Inventory of Depressive Symptomatology (QIDS-SR16)
Time frame: Baseline, Weeks 8 and 12, and Month 12
Change in depressive symptoms as assessed by the 9-Item Patient Health Questionnaire (PHQ-9)
Time frame: Baseline, Weeks 8 and 12, and Month 12
Change in anxiety symptoms as assessed by theGeneralized Anxiety Disorder 7-Item (GAD-7) Scale
Time frame: Baseline, Weeks 8 and 12, and Month 12
Change in severity of illness as assessed by the Clinical Global Impression of Severity (CGI-S)
Time frame: Baseline, Week 12 and Month 12
Change in global improvement as assessed by the Clinical Global Impression of Improvement (CGI-I)
Time frame: Week 12, and Month 12
Change in global therapeutic benefit and global severity of side effects as assessed by the Clinical Global Impression Efficacy Index
Time frame: Week 12 and Month 12
Changes to initial prescribing based on availability of pharmacogenomic data
Time frame: Screening and Baseline
Response rates to psychotropic medication
A responder is defined as a participant with 50% decrease in HAM-D17 score from baseline.
Time frame: Baseline, Weeks 8 and 12, Months 6, 9 and 12
Remission rates
A remitter is defined as a participant with HAM-D17 score equal or less that 7.
Time frame: Baseline, Weeks 8 and 12, Months 6, 9 and 12
Time to response
Time frame: Baseline, Weeks 8 and 12, Months 6, 9 and 12
Time to remission
Time frame: Baseline, Weeks 8 and 12, Months 6, 9 and 12
Change in psychotropic medication side effects as assessed by the Udvalg for Kliniske Undersogeler (UKU) Side Effect Rating Scale
Time frame: Baseline, Weeks 8 and 12, and Month 12
Change in global measure of side effects (frequency, intensity, and burden domains) as assessed by the Frequency, Intensity, and Burden of Side Effects Ratings (FIBSER)
Time frame: Baseline, Weeks 8 and 12, and Month 12
Weight gain
Subject's weight
Time frame: Baseline, Weeks 8 and 12, and Month 12
Waist-to-hip ratio
Subject's waist and hip measurements
Time frame: Baseline, Weeks 8 and 12, and Month 12
Change in health related quality of life as assessed by the EuroQol (EQ-5D-5L)
Time frame: Baseline, Week 12, Months 6, 9 and 12
Change in health related quality of life as assessed by the Short Form (36) Health Survey (SF-36)
Time frame: Baseline, Week 12, Months 6, 9 and 12
Pharmacogenetics in Psychiatry Follow-up Questionnaire (PIPFQ)
The PIPFQ is a questionnaire developed by CAMH to evaluate each physician's attitude and experience to pharmacogenomic testing. Information is solicited from the physician on three different domains: the processing of the physician's last referral, the contact and outcome of the physician's patient, and the physician's perspective on the future of genetic studies in psychiatric drug treatment.
Time frame: Baseline, when prescription changes are made (expected average of every 4 weeks), and Month 12
Healthcare resource utilization (Composite measure of healthcare costs): physician visits, hospital utilization, emergency department visits, medication use, and laboratory tests
Time frame: Baseline, Weeks 8 and 12, Months 6, 9 and 12
Productivity losses (measured as economic costs)
Time frame: Baseline, Weeks 8 and 12, Months 6, 9 and 12
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