Pharmacogenomic Decision Support With GeneSight Psychotropic to Guide the Treatment With Antipsychotics
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|ClinicalTrials.gov Identifier: NCT02573168|
Recruitment Status : Completed
First Posted : October 9, 2015
Last Update Posted : November 19, 2020
Antipsychotics are approved to treat several conditions, including Schizophrenia, Schizoaffective Disorder, Bipolar Disorder, and Major Depressive Disorder among others. The typical and atypical antipsychotics, derive their therapeutic benefit predominantly from the antagonism of dopamine D2 and 5-HT2A receptors. Many of these compounds are associated with common and significant adverse effects (e.g. weight gain, extrapyramidal symptoms, hyperprolactinemia, sexual dysfunction, and cardiac effects) which negatively impact on adherence. Today, antipsychotic induced weight gain (AIWG) is a leading cause for antipsychotic discontinuation. Importantly as well, approximately 20-30% of all patients with schizophrenia do not respond adequately to an initial antipsychotic trial, and strikingly, 83% of those who go on to a second antipsychotic trial do not meet criteria for response.
To-date, no RCT has been conducted to evaluate the outcomes in patients taking antipsychotics following the use of pharmacogenomic guidance of treatment selections. Therefore, the rationale for this trial is to utilize a double-blinded RCT design to evaluate and compare the clinical outcomes in participants treated with the benefit of GEN and E-GEN testing. Furthermore, this trial also intends to develop an evidence- based case for the value of GEN and E-GEN to Canadian health-care payers.
|Condition or disease||Intervention/treatment||Phase|
|Schizophrenia Schizoaffective Disorder||Genetic: GeneSight Psychotropic (GEN) Genetic: Enhanced-GeneSight Psychotropic (E-GEN) Other: Treatment as Usual (TAU)||Not Applicable|
The primary objective for this study is to validate the clinical utility of the new Centre for Addiction in Mental Health (CAMH) antipsychotic induced weight gain (AIWG) markers and demonstrate the superior predictive capabilities of E-GEN as compared to GEN/TAU.
The second primary objective of this study is to compare the efficacy of GEN to treatment as usual (TAU) in improving response to psychotropic treatment in the subset of patients suffering from schizophrenia/schizoaffective disorder.
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 psychiatric disorders indicated for antipsychotic utilization. Participants will be randomized in a 1:1:1 ratio to each of the three treatment arms. Recruitment will be 36-months and follow-up 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 participants from 3 sites, stratified into 2 clusters. Chatham-Kent and Ontario Shores will form one of the stratified clusters. CAMH will constitute the second stratified cluster. The sample size required for this study was calculated for a large effect size (Cohen's d = 0.8) for weight change between treatment groups (GEN and E-GEN) and TAU. Sample size calculations are based on the weight gain differences observed between carriers and non-carriers of genetic risk markers in the CAMH discovery studies (18, 19, 20, 21, 22, 23). Assuming intraclass coefficient between clusters of 20%, statistical power of 80%, an alpha level of 0.05, and an expected drop-out rate of 28.3% by Week 12, a total of 90 participants (i.e., 30 per treatment arm) are required to detect the same effect in this study. Sample size calculations were determined using G*Power (version 22.214.171.124, Germany).
|Study Type :||Interventional (Clinical Trial)|
|Actual Enrollment :||103 participants|
|Intervention Model:||Parallel Assignment|
|Masking:||Double (Participant, Outcomes Assessor)|
|Official Title:||A Three-arm, Parallel Group, Multicentre, Double-blind, Randomized Controlled Trial Evaluating the Impact of GeneSight Psychotropic and Enhanced-GeneSight Psychotropic, on Change in Weight Following Antipsychotic Treatment in Patients Suffering From Disorders Indicated for Antipsychotic Utilization|
|Actual Study Start Date :||January 2016|
|Actual Primary Completion Date :||July 2019|
|Actual Study Completion Date :||September 2020|
Experimental: GeneSight Psychotropic (GEN)
The GeneSight Psychotropic (GEN) product is a pharmacogenomic decision support tool that helps clinicians to make informed, evidence-based decisions about proper drug selection. More specifically, patients are tested for clinically important genetic variants of multiple pharmacokinetic and pharmacodynamic genes that affect a patient's ability to metabolize, tolerate or respond to medications.
Genetic: GeneSight Psychotropic (GEN)
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.
Experimental: Enhanced-GeneSight Psychotropic (E-GEN)
The current GEN test lacks predictive genes for antipsychotic-induced weight gain (AIWG), a major complication of antipsychotic drug use. Therefore, the Enhanced-GeneSight Psychotropic (E-GEN), which is an enhanced version of the GEN test, was developed by incorporating 6 new genes (represented by 7 SNPs) that are predictive for AIWG, to those used in the GEN algorithm. An increasing risk level associated with AIWG is estimated by an increasing number of risk genotypes that a given patient possesses among the 7 SNPs.
Genetic: Enhanced-GeneSight Psychotropic (E-GEN)
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.
Active Comparator: Treatment as Usual (TAU)
The comparator chosen for this study provides a "real world" comparison of standard of care for patients who receive no pharmacogenomics guidance.
Patients randomized to the TAU arm will also have their DNA collected and a pharmacogenomic-based interpretive report will be generated using GEN testing. However, this report will not be shared with the treating clinicians until completion at 12 months of the study. Therefore, patients in this arm will receive clinical treatment as usual, without the use or knowledge of genotyping results by their treating clinicians.
Other: Treatment as Usual (TAU)
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.
- Change in patients' weight and waist-to-hip ratio [ Time Frame: From baseline to week 12 ]Mean change in patients' weight and waist-to-hip ratio from baseline and week 12 of the study
- Change in schizophrenic symptoms as assessed by the Positive and Negative Syndrome [ Time Frame: From baseline to Week 12 ]Mean change in the PANSS score from baseline to Week 12 of the study
- Time between baseline and discontinuation of treatment for any cause [ Time Frame: Baseline, Weeks 8 and 12, Months 6 and 12 ]
- Change in severity of illness as assessed by the Clinical Global Impression of Severity (CGI-S) [ Time Frame: Baseline, Week 12, Months 6 and 12 ]
- Change in global improvement as assessed by Clinical Global Impression of Improvement (CGI-I) [ Time Frame: Week 12, Months 6 and 12 ]
- Change in global therapeutic benefit and global severity of side effects as assessed by Clinical Global Impression Efficacy Index (CGI-EI) [ Time Frame: Week 12, Months 6 and 12 ]
- Changes to initial prescribing based on availability of pharmacogenomic data [ Time Frame: Screening and Baseline ]
- Response rates to psychotropic medication [ Time Frame: Baseline, Weeks 8 and 12, Months 6 and 12 ]A responder is defined as a participant with 20% decrease in PANSS score from baseline.
- Time to response [ Time Frame: Baseline, Weeks 8 and 12, Months 6 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, Months 6 and 12 ]
- Change in severity of dyskinesias as assessed by the Abnormal Involuntary Movement Scale (AIMS) [ Time Frame: Baseline 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 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 and 12 ]
- Pharmacogenetics in Psychiatry Follow-Up Questionnaire (PIP-FQ) [ Time Frame: Baseline, when prescription changes are made (expected average of every 4 weeks), Months 6 and 12 ]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.
- 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 and 12 ]
- Productivity losses (measured as economic costs) [ Time Frame: Baseline, Weeks 8 and 12, Months 6 and 12 ]
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT02573168
|Centre for Addiction and Mental Health|
|Toronto, Ontario, Canada, M6J 1H4|
|Study Chair:||Jean-Eric Tarride, PhD||St.Joseph's Healthcare, Hamilton/Mcmaster University|
|Principal Investigator:||James L Kennedy, MD||Centre for Addiction and Mental Health|
|Principal Investigator:||Bryan Dechairo, PhD||Assurex Health Inc.|