Literature DB >> 24743713

Treatment outcomes of depression: the pharmacogenomic research network antidepressant medication pharmacogenomic study.

David A Mrazek1, Joanna M Biernacka, Donald E McAlpine, Joachim Benitez, Victor M Karpyak, Mark D Williams, Daniel K Hall-Flavin, Pamela J Netzel, Victoria Passov, Barbara M Rohland, Gen Shinozaki, Astrid A Hoberg, Karen A Snyder, Maureen S Drews, Michelle K Skime, Jessica A Sagen, Daniel J Schaid, Richard Weinshilboum, David J Katzelnick.   

Abstract

BACKGROUND: The effectiveness of selective serotonin reuptake inhibitors (SSRIs) in patients with major depressive disorder (MDD) is controversial. AIMS: The clinical outcomes of subjects with nonpsychotic MDD were reported and compared with the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study outcomes to provide guidance on the effectiveness of SSRIs.
METHODS: Subjects were treated with citalopram/escitalopram for up to 8 weeks. Depression was measured using the Quick Inventory of Depressive Symptomatology-Clinician Rated (QIDS-C16) and the 17-item Hamilton Depression Rating Scale.
RESULTS: The group of subjects with at least 1 follow-up visit had a remission (QIDS-C16 ≤ 5) rate of 45.8% as well as a response (50% reduction in QIDS-C16) rate of 64.8%, and 79.9% achieved an improvement of 5 points or higher in QIDS-C16 score. The Pharmacogenomic Research Network Antidepressant Medication Pharmacogenomic Study subjects were more likely to achieve a response than STAR*D study subjects. After adjustment for demographic factors, the response rates were not significantly different. When reporting the adverse effect burden, 60.5% of the subjects reported no impairment, 31.7% reported a minimal-to-mild impairment, and 7.8% reported a moderate-to-severe burden at the 4-week visit.
CONCLUSIONS: Patients contemplating initiating an SSRI to treat their MDD can anticipate a high probability of symptom improvement (79.9%) with a low probability that their symptoms will become worse. Patients with lower baseline severity have a higher probability of achieving remission. The Pharmacogenomic Research Network Antidepressant Medication Pharmacogenomic Study replicates many findings of the first phase of the STAR*D study after controlling for the differences between the studies.

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Year:  2014        PMID: 24743713      PMCID: PMC3992481          DOI: 10.1097/JCP.0000000000000099

Source DB:  PubMed          Journal:  J Clin Psychopharmacol        ISSN: 0271-0749            Impact factor:   3.153


  13 in total

1.  A rating scale for depression.

Authors:  M HAMILTON
Journal:  J Neurol Neurosurg Psychiatry       Date:  1960-02       Impact factor: 10.154

2.  Evaluation of outcomes with citalopram for depression using measurement-based care in STAR*D: implications for clinical practice.

Authors:  Madhukar H Trivedi; A John Rush; Stephen R Wisniewski; Andrew A Nierenberg; Diane Warden; Louise Ritz; Grayson Norquist; Robert H Howland; Barry Lebowitz; Patrick J McGrath; Kathy Shores-Wilson; Melanie M Biggs; G K Balasubramani; Maurizio Fava
Journal:  Am J Psychiatry       Date:  2006-01       Impact factor: 18.112

3.  Self-rated global measure of the frequency, intensity, and burden of side effects.

Authors:  Stephen R Wisniewski; A John Rush; G K Balasubramani; Madhukar H Trivedi; Andrew A Nierenberg
Journal:  J Psychiatr Pract       Date:  2006-03       Impact factor: 1.325

4.  Antidepressants on trial: how valid is the evidence?

Authors:  Gordon Parker
Journal:  Br J Psychiatry       Date:  2009-01       Impact factor: 9.319

5.  An evaluation of the quick inventory of depressive symptomatology and the hamilton rating scale for depression: a sequenced treatment alternatives to relieve depression trial report.

Authors:  A John Rush; Ira H Bernstein; Madhukar H Trivedi; Thomas J Carmody; Stephen Wisniewski; James C Mundt; Kathy Shores-Wilson; Melanie M Biggs; Ada Woo; Andrew A Nierenberg; Maurizio Fava
Journal:  Biol Psychiatry       Date:  2005-09-30       Impact factor: 13.382

6.  Methods of testing feasibility for sequenced treatment alternatives to relieve depression (STAR*D).

Authors:  Stephen R Wisniewski; Diane Stegman; Madhukar Trivedi; Mustafa M Husain; Heather Eng; Kathy Shores-Wilson; James Luther; Melanie M Biggs; Diane Burroughs; A Louise Ritz; Maurizio Fava; Frederic Quitkin; A John Rush
Journal:  J Psychiatr Res       Date:  2004 May-Jun       Impact factor: 4.791

7.  The 16-Item Quick Inventory of Depressive Symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression.

Authors:  A John Rush; Madhukar H Trivedi; Hicham M Ibrahim; Thomas J Carmody; Bruce Arnow; Daniel N Klein; John C Markowitz; Philip T Ninan; Susan Kornstein; Rachel Manber; Michael E Thase; James H Kocsis; Martin B Keller
Journal:  Biol Psychiatry       Date:  2003-09-01       Impact factor: 13.382

8.  SLC6A4 variation and citalopram response.

Authors:  D A Mrazek; A J Rush; J M Biernacka; D J O'Kane; J M Cunningham; E D Wieben; D J Schaid; M S Drews; V L Courson; K A Snyder; J L Black; R M Weinshilboum
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2009-04-05       Impact factor: 3.568

9.  Sequenced treatment alternatives to relieve depression (STAR*D): rationale and design.

Authors:  A John Rush; Maurizio Fava; Stephen R Wisniewski; Philip W Lavori; Madhukar H Trivedi; Harold A Sackeim; Michael E Thase; Andrew A Nierenberg; Frederic M Quitkin; T Michael Kashner; David J Kupfer; Jerrold F Rosenbaum; Jonathan Alpert; Jonathan W Stewart; Patrick J McGrath; Melanie M Biggs; Kathy Shores-Wilson; Barry D Lebowitz; Louise Ritz; George Niederehe
Journal:  Control Clin Trials       Date:  2004-02

10.  Initial severity and antidepressant benefits: a meta-analysis of data submitted to the Food and Drug Administration.

Authors:  Irving Kirsch; Brett J Deacon; Tania B Huedo-Medina; Alan Scoboria; Thomas J Moore; Blair T Johnson
Journal:  PLoS Med       Date:  2008-02       Impact factor: 11.069

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  18 in total

1.  New insights into the pharmacogenomics of antidepressant response from the GENDEP and STAR*D studies: rare variant analysis and high-density imputation.

Authors:  C Fabbri; K E Tansey; R H Perlis; J Hauser; N Henigsberg; W Maier; O Mors; A Placentino; M Rietschel; D Souery; G Breen; C Curtis; L Sang-Hyuk; S Newhouse; H Patel; M Guipponi; N Perroud; G Bondolfi; M O'Donovan; G Lewis; J M Biernacka; R M Weinshilboum; A Farmer; K J Aitchison; I Craig; P McGuffin; R Uher; C M Lewis
Journal:  Pharmacogenomics J       Date:  2017-11-21       Impact factor: 3.550

Review 2.  Pharmacogenomics in the treatment of mood disorders: Strategies and Opportunities for personalized psychiatry.

Authors:  Azmeraw T Amare; Klaus Oliver Schubert; Bernhard T Baune
Journal:  EPMA J       Date:  2017-09-05       Impact factor: 6.543

3.  Acylcarnitine metabolomic profiles inform clinically-defined major depressive phenotypes.

Authors:  Ahmed T Ahmed; Siamak MahmoudianDehkordi; Sudeepa Bhattacharyya; Matthias Arnold; Duan Liu; Drew Neavin; M Arthur Moseley; J Will Thompson; Lisa St John Williams; Gregory Louie; Michelle K Skime; Liewei Wang; Patricio Riva-Posse; William M McDonald; William V Bobo; W Edward Craighead; Ranga Krishnan; Richard M Weinshilboum; Boadie W Dunlop; David S Millington; A John Rush; Mark A Frye; Rima Kaddurah-Daouk
Journal:  J Affect Disord       Date:  2019-11-30       Impact factor: 4.839

4.  Validation of the 17-item Hamilton Depression Rating Scale definition of response for adults with major depressive disorder using equipercentile linking to Clinical Global Impression scale ratings: analysis of Pharmacogenomic Research Network Antidepressant Medication Pharmacogenomic Study (PGRN-AMPS) data.

Authors:  William V Bobo; Gabriela C Angleró; Gregory Jenkins; Daniel K Hall-Flavin; Richard Weinshilboum; Joanna M Biernacka
Journal:  Hum Psychopharmacol       Date:  2016-03-21       Impact factor: 1.672

5.  The International SSRI Pharmacogenomics Consortium (ISPC): a genome-wide association study of antidepressant treatment response.

Authors:  J M Biernacka; K Sangkuhl; G Jenkins; R M Whaley; P Barman; A Batzler; R B Altman; V Arolt; J Brockmöller; C H Chen; K Domschke; D K Hall-Flavin; C J Hong; A Illi; Y Ji; O Kampman; T Kinoshita; E Leinonen; Y J Liou; T Mushiroda; S Nonen; M K Skime; L Wang; B T Baune; M Kato; Y L Liu; V Praphanphoj; J C Stingl; S J Tsai; M Kubo; T E Klein; R Weinshilboum
Journal:  Transl Psychiatry       Date:  2015-04-21       Impact factor: 6.222

6.  Beta-defensin 1, aryl hydrocarbon receptor and plasma kynurenine in major depressive disorder: metabolomics-informed genomics.

Authors:  Duan Liu; Balmiki Ray; Drew R Neavin; Jiabin Zhang; Arjun P Athreya; Joanna M Biernacka; William V Bobo; Daniel K Hall-Flavin; Michelle K Skime; Hongjie Zhu; Gregory D Jenkins; Anthony Batzler; Krishna R Kalari; Felix Boakye-Agyeman; Wayne R Matson; Swati S Bhasin; Taisei Mushiroda; Yusuke Nakamura; Michiaki Kubo; Ravishankar K Iyer; Liewei Wang; Mark A Frye; Rima Kaddurah-Daouk; Richard M Weinshilboum
Journal:  Transl Psychiatry       Date:  2018-01-10       Impact factor: 6.222

7.  ERICH3: vesicular association and antidepressant treatment response.

Authors:  Duan Liu; Yongxian Zhuang; Lingxin Zhang; Huanyao Gao; Drew Neavin; Tania Carrillo-Roa; Yani Wang; Jia Yu; Sisi Qin; Daniel C Kim; Erica Liu; Thanh Thanh Le Nguyen; Joanna M Biernacka; Rima Kaddurah-Daouk; Boadie W Dunlop; W Edward Craighead; Helen S Mayberg; Elisabeth B Binder; Mark A Frye; Liewei Wang; Richard M Weinshilboum
Journal:  Mol Psychiatry       Date:  2020-11-23       Impact factor: 13.437

8.  Optimizing prediction of response to antidepressant medications using machine learning and integrated genetic, clinical, and demographic data.

Authors:  Dekel Taliaz; Amit Spinrad; Ran Barzilay; Zohar Barnett-Itzhaki; Dana Averbuch; Omri Teltsh; Roy Schurr; Sne Darki-Morag; Bernard Lerer
Journal:  Transl Psychiatry       Date:  2021-07-08       Impact factor: 6.222

9.  TSPAN5, ERICH3 and selective serotonin reuptake inhibitors in major depressive disorder: pharmacometabolomics-informed pharmacogenomics.

Authors:  M Gupta; D Neavin; D Liu; J Biernacka; D Hall-Flavin; W V Bobo; M A Frye; M Skime; G D Jenkins; A Batzler; K Kalari; W Matson; S S Bhasin; H Zhu; T Mushiroda; Y Nakamura; M Kubo; L Wang; R Kaddurah-Daouk; R M Weinshilboum
Journal:  Mol Psychiatry       Date:  2016-02-23       Impact factor: 15.992

10.  Association of the Polygenic Scores for Personality Traits and Response to Selective Serotonin Reuptake Inhibitors in Patients with Major Depressive Disorder.

Authors:  Azmeraw T Amare; Klaus Oliver Schubert; Fasil Tekola-Ayele; Yi-Hsiang Hsu; Katrin Sangkuhl; Gregory Jenkins; Ryan M Whaley; Poulami Barman; Anthony Batzler; Russ B Altman; Volker Arolt; Jürgen Brockmöller; Chia-Hui Chen; Katharina Domschke; Daniel K Hall-Flavin; Chen-Jee Hong; Ari Illi; Yuan Ji; Olli Kampman; Toshihiko Kinoshita; Esa Leinonen; Ying-Jay Liou; Taisei Mushiroda; Shinpei Nonen; Michelle K Skime; Liewei Wang; Masaki Kato; Yu-Li Liu; Verayuth Praphanphoj; Julia C Stingl; William V Bobo; Shih-Jen Tsai; Michiaki Kubo; Teri E Klein; Richard M Weinshilboum; Joanna M Biernacka; Bernhard T Baune
Journal:  Front Psychiatry       Date:  2018-03-06       Impact factor: 4.157

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