Literature DB >> 19881396

Pharmacogenomic trial design: use of a PK/PD model to explore warfarin dosing interventions through clinical trial simulation.

David H Salinger1, Danny D Shen, Kenneth Thummel, Ann K Wittkowsky, Paolo Vicini, David L Veenstra.   

Abstract

OBJECTIVE: Variants of two genes, CYP2C9 and VKORC1, explain approximately one third of variability in warfarin maintenance dose requirements. However, the clinical utility of using this information in addition to clinical and demographic data ('pharmacogenomic-guidance') is unclear, as few comparative clinical trials have been conducted to date. The objective of this study was to explore the incremental effect of pharmacogenomic-guided warfarin dosing under various conditions using clinical trial simulation.
METHODS: We used an existing pharmacokinetic/pharmacodynamic model to perform clinical trial simulations of pharmacogenomic-guided versus standard of care warfarin therapy. The primary outcome was the percentage of patient time spent in therapeutic range over the first month of therapy. We assessed the influence of the frequency of INR monitoring, and the use of a loading dose and dose increase delay in patients with CYP2C9 variants.
RESULTS: Pharmacogenomic guidance resulted in a 3-4 percentage point absolute increase in time spent in therapeutic range over the first month of therapy compared with standard of care. The improvement in time in range was greater when the frequency of INR monitoring in both arms was assumed to be lower. The absolute difference increased to 6-8 percentage points with the use of a loading dose and dose increase delay in patients with a CYP2C9 variant.
CONCLUSION: Our initial results imply that pharmacogenomic-guided warfarin dosing may be more useful in settings with less intensive patient follow-up, and when adjustments are made for slower therapeutic response in patients with a CYP2C9 variant. Further pharmacokinetic/pharmacodynamic model development may be useful for warfarin pharmacogenomic trial design.

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Year:  2009        PMID: 19881396      PMCID: PMC3164437          DOI: 10.1097/FPC.0b013e3283333b80

Source DB:  PubMed          Journal:  Pharmacogenet Genomics        ISSN: 1744-6872            Impact factor:   2.089


  18 in total

1.  Burden of potentially avoidable anticoagulant-associated hemorrhagic and thromboembolic events in the elderly.

Authors:  Carl van Walraven; Natalie Oake; Philip S Wells; Alan J Forster
Journal:  Chest       Date:  2007-02-22       Impact factor: 9.410

2.  Optimal level of oral anticoagulant therapy for the prevention of arterial thrombosis in patients with mechanical heart valve prostheses, atrial fibrillation, or myocardial infarction: a prospective study of 4202 patients.

Authors:  Marieke Torn; Suzanne C Cannegieter; Ward L E M Bollen; Felix J M van der Meer; Ernst E van der Wall; Frits R Rosendaal
Journal:  Arch Intern Med       Date:  2009-07-13

3.  Randomized trial of genotype-guided versus standard warfarin dosing in patients initiating oral anticoagulation.

Authors:  Jeffrey L Anderson; Benjamin D Horne; Scott M Stevens; Amanda S Grove; Stephanie Barton; Zachery P Nicholas; Samera F S Kahn; Heidi T May; Kent M Samuelson; Joseph B Muhlestein; John F Carlquist
Journal:  Circulation       Date:  2007-11-07       Impact factor: 29.690

4.  An analysis of the relative effects of VKORC1 and CYP2C9 variants on anticoagulation related outcomes in warfarin-treated patients.

Authors:  Lisa M Meckley; Ann K Wittkowsky; Mark J Rieder; Allan E Rettie; David L Veenstra
Journal:  Thromb Haemost       Date:  2008-08       Impact factor: 5.249

5.  CYP2C9 genotype-guided warfarin prescribing enhances the efficacy and safety of anticoagulation: a prospective randomized controlled study.

Authors:  Y Caraco; S Blotnick; M Muszkat
Journal:  Clin Pharmacol Ther       Date:  2007-09-12       Impact factor: 6.875

Review 6.  Pharmacogenetics of warfarin: regulatory, scientific, and clinical issues.

Authors:  Brian F Gage; Lawrence J Lesko
Journal:  J Thromb Thrombolysis       Date:  2007-10-01       Impact factor: 2.300

7.  Use of pharmacogenetic and clinical factors to predict the therapeutic dose of warfarin.

Authors:  B F Gage; C Eby; J A Johnson; E Deych; M J Rieder; P M Ridker; P E Milligan; G Grice; P Lenzini; A E Rettie; C L Aquilante; L Grosso; S Marsh; T Langaee; L E Farnett; D Voora; D L Veenstra; R J Glynn; A Barrett; H L McLeod
Journal:  Clin Pharmacol Ther       Date:  2008-02-27       Impact factor: 6.875

8.  Cost-effectiveness of using pharmacogenetic information in warfarin dosing for patients with nonvalvular atrial fibrillation.

Authors:  Mark H Eckman; Jonathan Rosand; Steven M Greenberg; Brian F Gage
Journal:  Ann Intern Med       Date:  2009-01-20       Impact factor: 25.391

9.  Pharmacokinetic and pharmacodynamic modeling of pegylated thrombopoietin mimetic peptide (PEG-TPOm) after single intravenous dose administration in healthy subjects.

Authors:  Mahesh N Samtani; Juan Jose Perez-Ruixo; Kathryn H Brown; Dirk Cerneus; Christopher J Molloy
Journal:  J Clin Pharmacol       Date:  2009-03       Impact factor: 3.126

Review 10.  Warfarin pharmacogenetics.

Authors:  Nita A Limdi; David L Veenstra
Journal:  Pharmacotherapy       Date:  2008-09       Impact factor: 4.705

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  2 in total

1.  The Creating an Optimal Warfarin Nomogram (CROWN) Study.

Authors:  Todd S Perlstein; Samuel Z Goldhaber; Kerrie Nelson; Victoria Joshi; T Vance Morgan; Lawrence J Lesko; Joo-Yeon Lee; Jogarao Gobburu; David Schoenfeld; Raju Kucherlapati; Mason W Freeman; Mark A Creager
Journal:  Thromb Haemost       Date:  2011-11-24       Impact factor: 5.249

2.  A systems approach to designing effective clinical trials using simulations.

Authors:  Vincent A Fusaro; Prasad Patil; Chih-Lin Chi; Charles F Contant; Peter J Tonellato
Journal:  Circulation       Date:  2012-12-21       Impact factor: 29.690

  2 in total

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