Literature DB >> 35819423

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.

David W Oslin1,2, Kevin G Lynch1,2, Mei-Chiung Shih3,4, Erin P Ingram1, Laura O Wray5,6,7, Sara R Chapman8, Henry R Kranzler1,2, Joel Gelernter9,10, Jeffrey M Pyne11,12, Annjanette Stone11, Scott L DuVall13,14,15, Lisa Soleymani Lehmann16,17,18, Michael E Thase1,2, Muhammad Aslam19,20, Steven L Batki21,22, James M Bjork23,24, Frederic C Blow25,26, Lisa A Brenner27,28, Peijun Chen29,30,31, Shivan Desai23, Eric W Dieperink32,33, Scott C Fears34,35, Matthew A Fuller31,36, Courtney S Goodman37, David P Graham38,39, Gretchen L Haas8,40, Mark B Hamner41,42, Amy W Helstrom1,2, Robin A Hurley37,43, Michael S Icardi44,45, George J Jurjus29,31, Amy M Kilbourne46,47, Julie Kreyenbuhl48,49, Daniel J Lache50,51, Steven P Lieske21, Julie A Lynch14,52, Laurence J Meyer14,53, Cristina Montalvo16,54, Sumitra Muralidhar46,55, Michael J Ostacher56,57, Gayla Y Paschall11, Paul N Pfeiffer25,26, Susana Prieto58, Ronald M Przygodzki46, Mohini Ranganathan9,59, Mercedes M Rodriguez-Suarez58, Hannah Roggenkamp34,60, Steven A Schichman11,61, John S Schneeweis62, Joseph A Simonetti27,63,64, Stuart R Steinhauer8,40, Trisha Suppes56,57, Maria A Umbert58, Jason L Vassy16,65, Deepak Voora66,67, Ilse R Wiechers6,68, Amanda E Wood69,70.   

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.

Entities:  

Mesh:

Substances:

Year:  2022        PMID: 35819423      PMCID: PMC9277497          DOI: 10.1001/jama.2022.9805

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   157.335


  18 in total

1.  Psychometric properties of the PTSD Checklist for Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition (PCL-5) in veterans.

Authors:  Michelle J Bovin; Brian P Marx; Frank W Weathers; Matthew W Gallagher; Paola Rodriguez; Paula P Schnurr; Terence M Keane
Journal:  Psychol Assess       Date:  2015-12-14

2.  Clinical validation of combinatorial pharmacogenomic testing and single-gene guidelines in predicting psychotropic medication blood levels and clinical outcomes in patients with depression.

Authors:  Anthony J Rothschild; Sagar V Parikh; Daniel Hain; Rebecca Law; Michael E Thase; Boadie W Dunlop; Charles DeBattista; Charles R Conway; Brent P Forester; Richard C Shelton; Matthew Macaluso; Krystal Brown; David Lewis; Alexander Gutin; Michael R Jablonski; John F Greden
Journal:  Psychiatry Res       Date:  2020-12-15       Impact factor: 3.222

3.  Updated U.S. population standard for the Veterans RAND 12-item Health Survey (VR-12).

Authors:  Alfredo J Selim; William Rogers; John A Fleishman; Shirley X Qian; Benjamin G Fincke; James A Rothendler; Lewis E Kazis
Journal:  Qual Life Res       Date:  2008-12-03       Impact factor: 4.147

4.  VA Primary Care and Mental Health Providers' Comfort with Genetic Testing: Survey Results from the PRIME Care Study.

Authors:  Leland E Hull; Kevin G Lynch; David W Oslin
Journal:  J Gen Intern Med       Date:  2019-06       Impact factor: 5.128

5.  Validation of the World Health Organization Alcohol, Smoking and Substance Involvement Screening Test (ASSIST): report of results from the Australian site.

Authors:  David Al Newcombe; Rachel E Humeniuk; Robert Ali
Journal:  Drug Alcohol Rev       Date:  2005-05

6.  The PHQ-9: validity of a brief depression severity measure.

Authors:  K Kroenke; R L Spitzer; J B Williams
Journal:  J Gen Intern Med       Date:  2001-09       Impact factor: 5.128

7.  The reliability of the Alcohol Timeline Followback when administered by telephone and by computer.

Authors:  L C Sobell; J Brown; G I Leo; M B Sobell
Journal:  Drug Alcohol Depend       Date:  1996-09       Impact factor: 4.492

8.  Study design and implementation of the PRecision Medicine In MEntal health Care (PRIME Care) Trial.

Authors:  David W Oslin; Sara Chapman; Scott L Duvall; Joel Gelernter; Erin P Ingram; Henry R Kranzler; Lisa Soleymani Lehmann; Julie A Lynch; Kevin G Lynch; Jeff M Pyne; Mei-Chiung Shih; Annjanette Stone; Michael E Thase; Laura O Wray
Journal:  Contemp Clin Trials       Date:  2020-12-11       Impact factor: 2.226

9.  Validation and standardization of the Generalized Anxiety Disorder Screener (GAD-7) in the general population.

Authors:  Bernd Löwe; Oliver Decker; Stefanie Müller; Elmar Brähler; Dieter Schellberg; Wolfgang Herzog; Philipp Yorck Herzberg
Journal:  Med Care       Date:  2008-03       Impact factor: 2.983

10.  Selecting among second-step antidepressant medication monotherapies: predictive value of clinical, demographic, or first-step treatment features.

Authors:  A John Rush; Stephen R Wisniewski; Diane Warden; James F Luther; Lori L Davis; Maurizio Fava; Andrew A Nierenberg; Madhukar H Trivedi
Journal:  Arch Gen Psychiatry       Date:  2008-08
View more
  3 in total

1.  Genetic Variation among Pharmacogenes in the Sardinian Population.

Authors:  Maria Laura Idda; Magdalena Zoledziewska; Silvana Anna Maria Urru; Gregory McInnes; Alice Bilotta; Viola Nuvoli; Valeria Lodde; Sandro Orrù; David Schlessinger; Francesco Cucca; Matteo Floris
Journal:  Int J Mol Sci       Date:  2022-09-02       Impact factor: 6.208

Review 2.  Diabetes precision medicine: plenty of potential, pitfalls and perils but not yet ready for prime time.

Authors:  Simon Griffin
Journal:  Diabetologia       Date:  2022-08-24       Impact factor: 10.460

Review 3.  Barriers to genetic testing in clinical psychiatry and ways to overcome them: from clinicians' attitudes to sociocultural differences between patients across the globe.

Authors:  Justo Pinzón-Espinosa; Marte van der Horst; Janneke Zinkstok; Jehannine Austin; Cora Aalfs; Albert Batalla; Patrick Sullivan; Jacob Vorstman; Jurjen J Luykx
Journal:  Transl Psychiatry       Date:  2022-10-11       Impact factor: 7.989

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.