NCT03952494

Brief Summary

The purpose of this study is to understand the effectiveness of pharmacogenomic testing in using antidepressants and to understand how EHR - driven clinical decision support system can be used to deliver PGx test results by healhcare providers.

Trial Health

30
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Timeline
Completed

Started Mar 2022

Geographic Reach
1 country

1 active site

Status
withdrawn

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

May 3, 2019

Completed
13 days until next milestone

First Posted

Study publicly available on registry

May 16, 2019

Completed
2.8 years until next milestone

Study Start

First participant enrolled

March 1, 2022

Completed
12 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

February 28, 2023

Completed
10 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2023

Completed
Last Updated

November 8, 2021

Status Verified

October 1, 2021

Enrollment Period

12 months

First QC Date

May 3, 2019

Last Update Submit

October 29, 2021

Conditions

Outcome Measures

Primary Outcomes (3)

  • Response, as defined by > 50% reduction in Hamilton Depressing Rating Scale ( HAM-D)

    The Hamilton Depression Rating Scale is used for rating the severity of depressive symptoms. Scores range from 0 to 50, with higher scores indicating greater severity of depression. The scoring system is as follows- 0-7 = Normal 8-13 = Mild Depression 14-18 = Moderate Depression 19-23 = Severe Depression \> 23 = Very severe Depression.

    24 weeks

  • Remission, as defined by < 8 on Hamilton Depressing Rating Scale ( HAM-D).

    The Hamilton Depression Rating Scale is used for rating the severity of depressive symptoms. Scores range from 0 to 50, with higher scores indicating greater severity of depression. The scoring system is as follows- 0-7 = Normal 8-13 = Mild Depression 14-18 = Moderate Depression 19-23 = Severe Depression \> 23 = Very severe Depression.

    24 weeks

  • Conformance between antidepressant medication prescription changes and recommendations from the pharmacogenomics testing

    Conformance is defined as the number of prescriptions that are in agreement with clinical decision support recommendations based on pharmacogenomics test results.

    24 weeks

Secondary Outcomes (2)

  • Self-reported side effects

    24 weeks

  • Provider Attitude

    24 weeks

Study Arms (2)

Intervention group

EXPERIMENTAL

Intervention group will have the PGx test results available via Epic, three days after the biospecimen is received.

Genetic: Genomind®Professional PGx Express TM

Control group

EXPERIMENTAL

The control group will be considered in TAU(treatment as usual) group but will have the PGx test results available after 24 weeks. Note: Patient in both the groups will be followed for 24 weeks and will take questionnaires every other week.

Genetic: Genomind®Professional PGx Express TM

Interventions

The current test includes the analysis of fifteen pharmacodynamic genes and nine pharmacokinetic genes that have been shown in numerous clinical studies to have implications for response to treatments used for depression, anxiety, obsessive-compulsive disorder (OCD), attention-deficit/hyperactivity disorder (ADHD), bipolar disorder, Posttraumatic Stress Disorder (PTSD), autism, schizophrenia, chronic pain and substance abuse. The genes assessed by the assay target major hepatic enzymes and key neurotransmitter pathways including serotonin, dopamine, norepinephrine and glutamate.

Control groupIntervention group

Eligibility Criteria

Age18 Years - 89 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Patients who quality the criteria below:
  • Patients with nonpsychotic MDD
  • Patients who would like to either start a new antidepressant or change their existing antidepressant treatment
  • Patients for whom antidepressant treatment is deemed appropriate by the treating clinician
  • \>18 years of age
  • Willingness to provide signed informed consent to participate in the study
  • Will be following up or continuously visiting their physician
  • Providers:
  • Outpatient practice providers
  • Providers who are familiar with Epic

You may not qualify if:

  • Patients:
  • Patients with medical contraindications that preclude antidepressant treatment
  • Patients with schizophrenia, schizoaffective disorder, or who have Bipolar I disorder
  • Patients currently on antipsychotic medications (e.g., typical and atypical antipsychotic drugs) and mood stabilizing agents (e.g., lithium, carbamazepine, valproate, lamotrigine, gabapentin, or other anticonvulsants)
  • Patients who are pregnant or have severe cognitive impairment
  • Patients requiring urgent care or inpatient hospitalization at the time of consent
  • Providers:
  • Unable or unwilling to commit time to introduce myGenes study to patients

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Weill Cornell Medicine

New York, New York, 10065, United States

Location

Related Publications (5)

  • Al-Harbi KS. Treatment-resistant depression: therapeutic trends, challenges, and future directions. Patient Prefer Adherence. 2012;6:369-88. doi: 10.2147/PPA.S29716. Epub 2012 May 1.

    PMID: 22654508BACKGROUND
  • Murray CJ, Atkinson C, Bhalla K, Birbeck G, Burstein R, Chou D, Dellavalle R, Danaei G, Ezzati M, Fahimi A, Flaxman D, Foreman, Gabriel S, Gakidou E, Kassebaum N, Khatibzadeh S, Lim S, Lipshultz SE, London S, Lopez, MacIntyre MF, Mokdad AH, Moran A, Moran AE, Mozaffarian D, Murphy T, Naghavi M, Pope C, Roberts T, Salomon J, Schwebel DC, Shahraz S, Sleet DA, Murray, Abraham J, Ali MK, Atkinson C, Bartels DH, Bhalla K, Birbeck G, Burstein R, Chen H, Criqui MH, Dahodwala, Jarlais, Ding EL, Dorsey ER, Ebel BE, Ezzati M, Fahami, Flaxman S, Flaxman AD, Gonzalez-Medina D, Grant B, Hagan H, Hoffman H, Kassebaum N, Khatibzadeh S, Leasher JL, Lin J, Lipshultz SE, Lozano R, Lu Y, Mallinger L, McDermott MM, Micha R, Miller TR, Mokdad AA, Mokdad AH, Mozaffarian D, Naghavi M, Narayan KM, Omer SB, Pelizzari PM, Phillips D, Ranganathan D, Rivara FP, Roberts T, Sampson U, Sanman E, Sapkota A, Schwebel DC, Sharaz S, Shivakoti R, Singh GM, Singh D, Tavakkoli M, Towbin JA, Wilkinson JD, Zabetian A, Murray, Abraham J, Ali MK, Alvardo M, Atkinson C, Baddour LM, Benjamin EJ, Bhalla K, Birbeck G, Bolliger I, Burstein R, Carnahan E, Chou D, Chugh SS, Cohen A, Colson KE, Cooper LT, Couser W, Criqui MH, Dabhadkar KC, Dellavalle RP, Jarlais, Dicker D, Dorsey ER, Duber H, Ebel BE, Engell RE, Ezzati M, Felson DT, Finucane MM, Flaxman S, Flaxman AD, Fleming T, Foreman, Forouzanfar MH, Freedman G, Freeman MK, Gakidou E, Gillum RF, Gonzalez-Medina D, Gosselin R, Gutierrez HR, Hagan H, Havmoeller R, Hoffman H, Jacobsen KH, James SL, Jasrasaria R, Jayarman S, Johns N, Kassebaum N, Khatibzadeh S, Lan Q, Leasher JL, Lim S, Lipshultz SE, London S, Lopez, Lozano R, Lu Y, Mallinger L, Meltzer M, Mensah GA, Michaud C, Miller TR, Mock C, Moffitt TE, Mokdad AA, Mokdad AH, Moran A, Naghavi M, Narayan KM, Nelson RG, Olives C, Omer SB, Ortblad K, Ostro B, Pelizzari PM, Phillips D, Raju M, Razavi H, Ritz B, Roberts T, Sacco RL, Salomon J, Sampson U, Schwebel DC, Shahraz S, Shibuya K, Silberberg D, Singh JA, Steenland K, Taylor JA, Thurston GD, Vavilala MS, Vos T, Wagner GR, Weinstock MA, Weisskopf MG, Wulf S, Murray; U.S. Burden of Disease Collaborators. The state of US health, 1990-2010: burden of diseases, injuries, and risk factors. JAMA. 2013 Aug 14;310(6):591-608. doi: 10.1001/jama.2013.13805.

    PMID: 23842577BACKGROUND
  • Perez V, Salavert A, Espadaler J, Tuson M, Saiz-Ruiz J, Saez-Navarro C, Bobes J, Baca-Garcia E, Vieta E, Olivares JM, Rodriguez-Jimenez R, Villagran JM, Gascon J, Canete-Crespillo J, Sole M, Saiz PA, Ibanez A, de Diego-Adelino J; AB-GEN Collaborative Group; Menchon JM. Efficacy of prospective pharmacogenetic testing in the treatment of major depressive disorder: results of a randomized, double-blind clinical trial. BMC Psychiatry. 2017 Jul 14;17(1):250. doi: 10.1186/s12888-017-1412-1.

    PMID: 28705252BACKGROUND
  • Han C, Wang SM, Bahk WM, Lee SJ, Patkar AA, Masand PS, Mandelli L, Pae CU, Serretti A. A Pharmacogenomic-based Antidepressant Treatment for Patients with Major Depressive Disorder: Results from an 8-week, Randomized, Single-blinded Clinical Trial. Clin Psychopharmacol Neurosci. 2018 Nov 30;16(4):469-480. doi: 10.9758/cpn.2018.16.4.469.

    PMID: 30466219BACKGROUND
  • Altar CA, Carhart J, Allen JD, Hall-Flavin D, Winner J, Dechairo B. Clinical Utility of Combinatorial Pharmacogenomics-Guided Antidepressant Therapy: Evidence from Three Clinical Studies. Mol Neuropsychiatry. 2015 Oct;1(3):145-55. doi: 10.1159/000430915. Epub 2015 Jul 31.

    PMID: 27606312BACKGROUND

Related Links

MeSH Terms

Conditions

Depression

Condition Hierarchy (Ancestors)

Behavioral SymptomsBehavior

Study Officials

  • Jyotishman Pathak, PhD

    Weill Medical College of Cornell University

    PRINCIPAL INVESTIGATOR
0

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
PARTICIPANT
Purpose
TREATMENT
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

May 3, 2019

First Posted

May 16, 2019

Study Start

March 1, 2022

Primary Completion

February 28, 2023

Study Completion

December 31, 2023

Last Updated

November 8, 2021

Record last verified: 2021-10

Data Sharing

IPD Sharing
Will not share

Locations