Your browser doesn't support javascript.
loading
Effect of Pharmacogenomic Testing for Drug-Gene Interactions on Medication Selection and Remission of Symptoms in Major Depressive Disorder: The PRIME Care Randomized Clinical Trial.
Oslin, David W; Lynch, Kevin G; Shih, Mei-Chiung; Ingram, Erin P; Wray, Laura O; Chapman, Sara R; Kranzler, Henry R; Gelernter, Joel; Pyne, Jeffrey M; Stone, Annjanette; DuVall, Scott L; Lehmann, Lisa Soleymani; Thase, Michael E; Aslam, Muhammad; Batki, Steven L; Bjork, James M; Blow, Frederic C; Brenner, Lisa A; Chen, Peijun; Desai, Shivan; Dieperink, Eric W; Fears, Scott C; Fuller, Matthew A; Goodman, Courtney S; Graham, David P; Haas, Gretchen L; Hamner, Mark B; Helstrom, Amy W; Hurley, Robin A; Icardi, Michael S; Jurjus, George J; Kilbourne, Amy M; Kreyenbuhl, Julie; Lache, Daniel J; Lieske, Steven P; Lynch, Julie A; Meyer, Laurence J; Montalvo, Cristina; Muralidhar, Sumitra; Ostacher, Michael J; Paschall, Gayla Y; Pfeiffer, Paul N; Prieto, Susana; Przygodzki, Ronald M; Ranganathan, Mohini; Rodriguez-Suarez, Mercedes M; Roggenkamp, Hannah; Schichman, Steven A; Schneeweis, John S; Simonetti, Joseph A.
Affiliation
  • Oslin DW; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania.
  • Lynch KG; Department of Psychiatry, University of Pennsylvania, Philadelphia.
  • Shih MC; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania.
  • Ingram EP; Department of Psychiatry, University of Pennsylvania, Philadelphia.
  • Wray LO; VA Cooperative Studies Coordinating Center, Palo Alto, California.
  • Chapman SR; Department of Biomedical Data Science, Stanford University, Palo Alto, California.
  • Kranzler HR; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania.
  • Gelernter J; VA Center for Integrated Healthcare, Buffalo, New York.
  • Pyne JM; VA Office of Mental Health and Suicide Prevention, Washington, DC.
  • Stone A; Division of Geriatrics and Palliative Care, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York.
  • DuVall SL; VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
  • Lehmann LS; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania.
  • Thase ME; Department of Psychiatry, University of Pennsylvania, Philadelphia.
  • Aslam M; Departments of Psychiatry, Genetics, and Neuroscience, Yale University School of Medicine, New Haven, Connecticut.
  • Batki SL; Central Arkansas Veterans Healthcare System, Little Rock.
  • Bjork JM; Psychiatric Research Institute, University of Arkansas for Medical Sciences, Little Rock.
  • Blow FC; Central Arkansas Veterans Healthcare System, Little Rock.
  • Brenner LA; VA Informatics and Computing Infrastructure, Salt Lake City, Utah.
  • Chen P; VA Salt Lake City Health Care System, Salt Lake City, Utah.
  • Desai S; Department of Internal Medicine Division of Epidemiology, University of Utah School of Medicine, Salt Lake City.
  • Dieperink EW; VA Boston Healthcare System, Boston, Massachusetts.
  • Fears SC; Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
  • Fuller MA; Google, Mountain View, California.
  • Goodman CS; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania.
  • Graham DP; Department of Psychiatry, University of Pennsylvania, Philadelphia.
  • Hamner MB; Cincinnati VA Medical Center, Cincinnati, Ohio.
  • Helstrom AW; University of Cincinnati, Cincinnati, Ohio.
  • Hurley RA; San Francisco VA Health Care System, San Francisco, California.
  • Icardi MS; Department of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, San Francisco, California.
  • Jurjus GJ; Hunter Holmes McGuire VA Medical Center, Richmond, Virginia.
  • Kilbourne AM; Department of Psychiatry, Virginia Commonwealth University, Richmond.
  • Kreyenbuhl J; VA Center for Clinical Management Research, Ann Arbor, Michigan.
  • Lache DJ; Department of Psychiatry, University of Michigan, Ann Arbor.
  • Lieske SP; VA Rocky Mountain Mental Illness Research, Education, and Clinical Center, Rocky Mountain Regional VA Medical Center, Aurora, Colorado.
  • Lynch JA; Departments of Physical Medicine and Rehabilitation, Psychiatry, and Neurology, University of Colorado Anschutz Medical Campus, Aurora.
  • Meyer LJ; Louis Stokes VA Medical Center, Cleveland, Ohio.
  • Montalvo C; VISN 10 Geriatric Research, Education, and Clinical Center, Cleveland, Ohio.
  • Muralidhar S; Department of Psychiatry, Case Western Reserve University School of Medicine, Cleveland, Ohio.
  • Ostacher MJ; Hunter Holmes McGuire VA Medical Center, Richmond, Virginia.
  • Paschall GY; Minneapolis VA Health Care System, Minneapolis, Minnesota.
  • Pfeiffer PN; Department of Psychiatry, University of Minnesota Medical School, Minneapolis.
  • Prieto S; VA Greater Los Angeles Healthcare System, Los Angeles, California.
  • Przygodzki RM; Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles.
  • Ranganathan M; Department of Psychiatry, Case Western Reserve University School of Medicine, Cleveland, Ohio.
  • Rodriguez-Suarez MM; Veterans Health Administration Pharmacy Benefits Management Services, Washington, DC.
  • Roggenkamp H; W.G. (Bill) Hefner VA Medical Center, Salisbury, North Carolina.
  • Schichman SA; Michael E. DeBakey VA Medical Center, Houston, Texas.
  • Schneeweis JS; Menninger Department of Psychiatry, Baylor College of Medicine, Houston, Texas.
  • Simonetti JA; VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
JAMA ; 328(2): 151-161, 2022 07 12.
Article in En | MEDLINE | ID: mdl-35819423
ABSTRACT
Importance Selecting effective antidepressants for the treatment of major depressive disorder (MDD) is an imprecise practice, with remission rates of about 30% at the initial treatment.

Objective:

To determine whether pharmacogenomic testing affects antidepressant medication selection and whether such testing leads to better clinical outcomes. Design, Setting, and

Participants:

A pragmatic, randomized clinical trial that compared treatment guided by pharmacogenomic testing vs usual care. Participants included 676 clinicians and 1944 patients. Participants were enrolled from 22 Department of Veterans Affairs medical centers from July 2017 through February 2021, with follow-up ending November 2021. Eligible patients were those with MDD who were initiating or switching treatment with a single antidepressant. Exclusion criteria included an active substance use disorder, mania, psychosis, or concurrent treatment with a specified list of medications.

Interventions:

Results from a commercial pharmacogenomic test were given to clinicians in the pharmacogenomic-guided group (n = 966). The comparison group received usual care and access to pharmacogenomic results after 24 weeks (n = 978). Main Outcomes and

Measures:

The co-primary outcomes were the proportion of prescriptions with a predicted drug-gene interaction written in the 30 days after randomization and remission of depressive symptoms as measured by the Patient Health Questionnaire-9 (PHQ-9) (remission was defined as PHQ-9 ≤ 5). Remission was analyzed as a repeated measure across 24 weeks by blinded raters.

Results:

Among 1944 patients who were randomized (mean age, 48 years; 491 women [25%]), 1541 (79%) completed the 24-week assessment. The estimated risks for receiving an antidepressant with none, moderate, and substantial drug-gene interactions for the pharmacogenomic-guided group were 59.3%, 30.0%, and 10.7% compared with 25.7%, 54.6%, and 19.7% in the usual care group. The pharmacogenomic-guided group was more likely to receive a medication with a lower potential drug-gene interaction for no drug-gene vs moderate/substantial interaction (odds ratio [OR], 4.32 [95% CI, 3.47 to 5.39]; P < .001) and no/moderate vs substantial interaction (OR, 2.08 [95% CI, 1.52 to 2.84]; P = .005) (P < .001 for overall comparison). Remission rates over 24 weeks were higher among patients whose care was guided by pharmacogenomic testing than those in usual care (OR, 1.28 [95% CI, 1.05 to 1.57]; P = .02; risk difference, 2.8% [95% CI, 0.6% to 5.1%]) but were not significantly higher at week 24 when 130 patients in the pharmacogenomic-guided group and 126 patients in the usual care group were in remission (estimated risk difference, 1.5% [95% CI, -2.4% to 5.3%]; P = .45). Conclusions and Relevance Among patients with MDD, provision of pharmacogenomic testing for drug-gene interactions reduced prescription of medications with predicted drug-gene interactions compared with usual care. Provision of test results had small nonpersistent effects on symptom remission. Trial Registration ClinicalTrials.gov Identifier NCT03170362.
Subject(s)

Full text: 1 Collection: 01-internacional Health context: 1_ASSA2030 Database: MEDLINE Main subject: Depressive Disorder, Major / Drug Interactions / Inappropriate Prescribing / Pharmacogenomic Testing / Antidepressive Agents Type of study: Clinical_trials / Diagnostic_studies / Prognostic_studies / Qualitative_research Limits: Female / Humans / Male / Middle aged Country/Region as subject: America do norte Language: En Journal: JAMA Year: 2022 Document type: Article

Full text: 1 Collection: 01-internacional Health context: 1_ASSA2030 Database: MEDLINE Main subject: Depressive Disorder, Major / Drug Interactions / Inappropriate Prescribing / Pharmacogenomic Testing / Antidepressive Agents Type of study: Clinical_trials / Diagnostic_studies / Prognostic_studies / Qualitative_research Limits: Female / Humans / Male / Middle aged Country/Region as subject: America do norte Language: En Journal: JAMA Year: 2022 Document type: Article