Evaluation of an Antidepressant Pharmacogenomic Algorithm in an Outpatient Clinical Setting
NCT ID: NCT01610063
Last Updated: 2017-03-30
Study Results
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View full resultsBasic Information
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COMPLETED
NA
227 participants
INTERVENTIONAL
2009-01-31
2013-05-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
DIAGNOSTIC
NONE
Study Groups
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Guided
A pharmacogenomic algorithm (GeneSight) guided treatment decisions for antidepressant medication selection and appropriate dosing.
Pharmacogenomic algorithm
Genetic test results for 4 genes were put through algorithm and provided to physician for guidance prescribing medication.
Unguided
Treatment as usual
No interventions assigned to this group
Interventions
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Pharmacogenomic algorithm
Genetic test results for 4 genes were put through algorithm and provided to physician for guidance prescribing medication.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
2. Major depressive disorder or depressive disorder not otherwise specified as ascertained by a physician or mental health professional licensed to diagnose.
3. Patient is an outpatient and not in imminent need of inpatient hospitalization, or a discharging inpatient with scheduled follow-up with a Behavioral Health psychiatrist.
4. Patient has been referred to see a psychiatrist for optimum medication management.
5. Patient's Hamilton Depression Rating score is \>14
6. Ability to read, understand and sign an informed consent document
Exclusion Criteria
2. Patients with a diagnosis of Bipolar I disorder
3. Patients with a diagnosis of Schizophrenia or Schizoaffective disorder
4. Patients who are legally unable to consent to enrollment in the study (i.e. patients with legal guardians)
18 Years
80 Years
ALL
No
Sponsors
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Assurex Health Home
INDUSTRY
Mayo Clinic
OTHER
Responsible Party
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Daniel K. Hall-Flavin
PI
Principal Investigators
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Daniel K. Hall-Flavin
Role: PRINCIPAL_INVESTIGATOR
Mayo Clinic
Locations
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Franciscan Skemp HealthCare
La Crosse, Wisconsin, United States
Countries
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Other Identifiers
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08-005610
Identifier Type: -
Identifier Source: org_study_id
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