Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT03749629 |
Other study ID # |
2018P002499 |
Secondary ID |
|
Status |
Completed |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
May 1, 2019 |
Est. completion date |
March 15, 2022 |
Study information
Verified date |
April 2022 |
Source |
Massachusetts General Hospital |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
The overall goal of this study is to assess the effectiveness of a widely available and
widely used combinatorial pharmacogenomic (PGx) test for the treatment of major depressive
disorder. Pharmacogenomic tests use genetic information to guide medication treatment
decisions. The tests inform clinicians and patients of potential gene-drug interactions by
analyzing pharmacokinetic (PK) genes (how drugs are metabolized) as well as pharmacodynamic
(PD) genes (how drugs work). While combinatorial PGx testing is attractive to clinicians,
patients, healthcare systems, and insurers, limited data demonstrate that PGx testing will
result in better outcomes compared to evidence-based guideline treatment. Therefore, the
investigators will conduct a prospective randomized comparative effectiveness study of best
practice guidelines plus combinatorial PGx-guided treatment versus best-practice guideline
concordant treatment alone.
Description:
Depressive disorders are the fourth leading cause of the burden of disease worldwide and is
projected to be the first cause by 2030 1. According to the World Health Organization
depression carries the greatest burden of disability among all mental and behavioral
disorders. Specifically, depression accounts for 3.7% of all U.S. disability-adjusted life
years and 8.3% of all U.S. years lived with disability. In 2014, it was estimated that 15.7
million adults in the United States had at least one major depressive episode in the past
year and 43% people with severe depressive symptoms reported serious difficulties in work,
home, and social activities 2. The current standard of care is based on trial-and-error of a
multitude of medications; this approach often leads to patient and clinician frustration
after each treatment failure (side effects or non-response) and can decrease compliance and
engagement in treatment. One way to reduce this trial-and-error process, is to use
pharmacogenomic (PGx) testing to guide medication treatment and increase the likelihood of
response by reducing the number of ineffective medication trials.
Pharmacogenomics, the use of genetic information by patients, clinicians, and healthcare
systems to match patients with pharmacologic treatments, is an important step towards
precision/personalized medicine. Pharmacogenomics can make the practice of medicine more
efficient by giving the right medications specifically to those who are most likely to
benefit from them and to avoid giving the wrong medications to those who are most likely not
to benefit based on each patient's individual genetic makeup. The PGx test for the treatment
of depression is now commercially available and is reimbursable by insurance, including
Medicaid and Medicare. A recent comprehensive overview of the state of PGx testing for
depression, its promise, and limitations concluded that more research is needed in this
rapidly-developing field3. Specifically, the gap is that while PGx-guided antidepressant
treatment results in better outcomes compared to treatment as usual in tightly controlled
clinical trials, it has not yet been tested in real world settings, nor has it been compared
to best practice guidelines. It is less clear how well PGx tests make a difference in short
and long-term patient-centered outcomes compared to guideline-concordant care of depression.
For this study, the investigators are collaborating with Assurex Health and their product
GeneSight® Psychotropic powered by CPGx® technology, the only test for depression
reimbursable by Medicaid and Medicare. GeneSight® is a neuropsychiatric, combinatorial, PGx
test that provides recommendations for psychotropic medications (antidepressants, mood
stabilizers, hypnotics for insomnia, and antipsychotics) based on a patient's individual
genetic profile. The test combines pharmacokinetic (PK) metabolism genes (how drugs are
metabolized) as well as pharmacodynamic (PD) genes (how drugs work) to predict dosing
adjustments and response.
GeneSight® classifies medications based on the severity of the gene-drug interactions in
color-coded categories: green "use as directed," yellow "moderate gene-drug interaction," and
red "significant gene-drug interaction." The results are presented in a report which is
easily understandable by patients and clinicians. Furthermore, GeneSight® addresses concerns
reported by individuals in MoodNetwork: alleviating symptoms, identifying effective
alternative treatments, reducing barriers to care/treatment, and using genetic studies to
identify responders to treatment. This study answers questions that patients and clinicians
care about and has the potential to improve outcomes.
Cogito, Inc. is the industry leader in the mobile sensing technology of mood. Cogito has
developed a mobile phone application that assesses depression by tracking everyday usage of
mobile phones, without the need to actively input data (e.g., rating depression). The
application uses indicators such as phone call/text frequency or voice parameters to deduce
depression severity. To date, this application has been tested in two studies: Defense
Advanced Research Projects Agency (DARPA) funded a study in 73 patients with major depression
and PTSD3, and a more recent NIMH funded study with 200 patients with major depression and
bipolar disorder in collaboration with the MoodNetwork PPRN. The application is highly
sensitive and specific in detecting depression. However, given the preliminary nature of
these findings, the study investigators will use the Cogito platform as a secondary (more
exploratory) outcome measure and the use of this application will be optional. The use of
passive sensing technology has the advantage that it does not rely on patients' self-report
and can be used for low cost longitudinal monitoring of patients for the changes in
depression symptoms.
If a study clinician meets with one of their patients and determines that they may be
eligible for the study, a member of the study staff (i.e. site PI, treating clinician, or
research assistant) will describe the study to the patient and answer any questions. If the
participant is interested, they will complete the consent form accessed via MoodNetwork.org.
Patients will be offered to take home the Consent Form and call back if they wish to
participate. If they decide to participate, they will contact the member of the research team
and will be given the study website link to sign consent. Following their consent,
participants will be prompted to complete questionnaires to determine study eligibility on
MoodNetwork.org. If the patient is eligible for the study, they will be informed of the
option to use the Cogito Companion mobile app and if they want to use it, they will be asked
to download the mobile app (so that the study team can passively monitor any potential
depressive symptoms throughout the course of the study) and they will be randomized to either
the PGx-guided psychiatric treatment arm or the best practice guidelines arm. A member of
study staff will then administer the PGx test (i.e., a buccal swab). If the participant is in
the PGx-guided psychiatric treatment arm, the treating clinician will receive their results
within two business days and contact the participant to inform them of the results and
discuss any medication changes. If the participant is in the best practice guidelines arm,
the treating clinician will not receive the PGx test results until after the follow-up phase
(one year). The clinician, however, will still contact the patient to discuss medication
changes (in line with the Canadian Network for Mood and Anxiety Treatments (CANMAT)
guidelines instead of the GeneSite test results).