Literature DB >> 31721487

Impact of Pharmacogenomics on Clinical Outcomes for Patients Taking Medications With Gene-Drug Interactions in a Randomized Controlled Trial.

Michael E Thase1,2, Sagar V Parikh3, Anthony J Rothschild4, Boadie W Dunlop5, Charles DeBattista6, Charles R Conway7, Brent P Forester8, Francis M Mondimore9, Richard C Shelton10, Matthew Macaluso11, James Li12, Krystal Brown13, Michael R Jablonski12, John F Greden3.   

Abstract

OBJECTIVE: The objective of the Genomics Used to Improve DEpression Decisions (GUIDED) trial was to evaluate the utility of pharmacogenomic testing to improve outcomes among patients with major depressive disorder (MDD) who had not responded to at least 1 prior medication trial. The objective of the present analysis was to assess outcomes for the subset of patients expected to benefit from combinatorial pharmacogenomic testing because they were taking medications with predicted gene-drug interactions.
METHODS: Participants (enrolled from April 14, 2014, to February 10, 2017) had an inadequate response to at least 1 psychotropic medication in the current episode of MDD. Patients were randomized to treatment as usual (TAU) or the guided-care arm, in which clinicians had access to a combinatorial pharmacogenomic test report to inform medication selection. Patients and raters were blinded to study arm through week 8. The following outcomes were assessed using the 17-item Hamilton Depre​ssion Rating Scale (HDRS-17): symptom improvement (percent change in HDRS-17 score), response (≥ 50% decrease in HDRS-17 score), and remission (HDRS-17 score ≤ 7). In the GUIDED trial, the primary endpoint of symptom improvement did not reach significance in the intent-to-treat cohort (P = .069). Here, a post hoc analysis of patients who were taking medications subject to gene-drug interactions at baseline as predicted by combinatorial pharmacogenomic testing (N = 912) is presented.
RESULTS: Among participants taking medications subject to gene-drug interactions at baseline, outcomes at week 8 were significantly improved for those in the guided-care arm compared to TAU (symptom improvement: 27.1% versus 22.1%, P = .029; response: 27.0% versus 19.0%, P = .008; remission: 18.2% versus 10.7%, P = .003). When patients who switched medications were assessed, all outcomes were significantly improved in the guided-care arm compared to TAU (P = .011 for symptom improvement, P = .011 for response, P = .008 for remission).
CONCLUSIONS: By identifying and focusing on the patients with predicted gene-drug interactions, use of a combinatorial pharmacogenomic test significantly improved outcomes among patients with MDD who had at least 1 prior medication failure. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT02109939​. © Copyright 2019 Physicians Postgraduate Press, Inc.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 31721487     DOI: 10.4088/JCP.19m12910

Source DB:  PubMed          Journal:  J Clin Psychiatry        ISSN: 0160-6689            Impact factor:   4.384


  14 in total

Review 1.  Pharmacogenomics of Cognitive Dysfunction and Neuropsychiatric Disorders in Dementia.

Authors:  Ramon Cacabelos
Journal:  Int J Mol Sci       Date:  2020-04-26       Impact factor: 5.923

2.  Multi-gene Pharmacogenomic Testing That Includes Decision-Support Tools to Guide Medication Selection for Major Depression: A Health Technology Assessment.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2021-08-12

Review 3.  Molecular Mechanisms Associated with Antidepressant Treatment on Major Depression.

Authors:  Lívia Ramos-da-Silva; Pamela T Carlson; Licia C Silva-Costa; Daniel Martins-de-Souza; Valéria de Almeida
Journal:  Complex Psychiatry       Date:  2021-07-09

4.  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.

Authors:  David W Oslin; Kevin G Lynch; Mei-Chiung Shih; Erin P Ingram; Laura O Wray; Sara R Chapman; Henry R Kranzler; Joel Gelernter; Jeffrey M Pyne; Annjanette Stone; Scott L DuVall; Lisa Soleymani Lehmann; Michael E Thase; Muhammad Aslam; Steven L Batki; James M Bjork; Frederic C Blow; Lisa A Brenner; Peijun Chen; Shivan Desai; Eric W Dieperink; Scott C Fears; Matthew A Fuller; Courtney S Goodman; David P Graham; Gretchen L Haas; Mark B Hamner; Amy W Helstrom; Robin A Hurley; Michael S Icardi; George J Jurjus; Amy M Kilbourne; Julie Kreyenbuhl; Daniel J Lache; Steven P Lieske; Julie A Lynch; Laurence J Meyer; Cristina Montalvo; Sumitra Muralidhar; Michael J Ostacher; Gayla Y Paschall; Paul N Pfeiffer; Susana Prieto; Ronald M Przygodzki; Mohini Ranganathan; Mercedes M Rodriguez-Suarez; Hannah Roggenkamp; Steven A Schichman; John S Schneeweis; Joseph A Simonetti; Stuart R Steinhauer; Trisha Suppes; Maria A Umbert; Jason L Vassy; Deepak Voora; Ilse R Wiechers; Amanda E Wood
Journal:  JAMA       Date:  2022-07-12       Impact factor: 157.335

5.  Peripheral biomarkers to predict the diagnosis of bipolar disorder from major depressive disorder in adolescents.

Authors:  Xiaohui Wu; Zhiang Niu; Yuncheng Zhu; Yifan Shi; Hong Qiu; Wenjie Gu; Hongmei Liu; Jie Zhao; Lu Yang; Yun Wang; Tiebang Liu; Yong Xia; Yan Yang; Jun Chen; Yiru Fang
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2021-08-25       Impact factor: 5.760

6.  CYP2C19 Phenotype and Body Weight-Guided Voriconazole Initial Dose in Infants and Children after Hematopoietic Cell Transplantation.

Authors:  Takuto Takahashi; Maryam A Mohamud; Angela R Smith; Pamala A Jacobson; Mutaz M Jaber; Abeer F Alharbi; James Fisher; Mark N Kirstein
Journal:  Antimicrob Agents Chemother       Date:  2021-08-17       Impact factor: 5.191

7.  A Randomized Controlled Trial of Combinatorial Pharmacogenetics Testing in Adolescent Depression.

Authors:  Jennifer L Vande Voort; Scott S Orth; Julia Shekunov; Magdalena Romanowicz; Jennifer R Geske; Jessica A Ward; Nicole I Leibman; Mark A Frye; Paul E Croarkin
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2021-06-05       Impact factor: 13.113

8.  Comparing sensitivity to change using the 6-item versus the 17-item Hamilton depression rating scale in the GUIDED randomized controlled trial.

Authors:  Boadie W Dunlop; Sagar V Parikh; Anthony J Rothschild; Michael E Thase; Charles DeBattista; Charles R Conway; Brent P Forester; Francis M Mondimore; Richard C Shelton; Matthew Macaluso; Jennifer Logan; Paul Traxler; James Li; Holly Johnson; John F Greden
Journal:  BMC Psychiatry       Date:  2019-12-27       Impact factor: 3.630

9.  Understanding the mechanisms of treatment response in depression, focus on electro-convulsive therapy.

Authors:  Elisabeth B Binder
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2020-10       Impact factor: 5.270

Review 10.  Effect of Pharmacogenetic-Based Decision Support Tools in Improving Depression Outcomes: A Systematic Review.

Authors:  Shimaa Aboelbaha; Monica Zolezzi; Hazem Elewa
Journal:  Neuropsychiatr Dis Treat       Date:  2021-07-21       Impact factor: 2.570

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.