Simplified warfarin dose-response pharmacodynamic models

Seongho Kim, Adam E. Gaweda, Dongfeng Wu, Lang Li, Shesh N. Rai, Michael E. Brier

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Warfarin is a frequently used oral anticoagulant for long-term prevention and treatment of thromboembolic events. Due to its narrow therapeutic range and large inter-individual dose-response variability, it is highly desirable to personalize warfarin dosing. However, the complexity of the conventional kinetic-pharmacodynamic (K-PD) models hampers the development of the personalized dose management. To avert this challenge, we propose simplified PD models for warfarin dose-INR response relationship, which is motivated by ideas from control theory. The simplified models were further applied to longitudinal data of 37 patients undergoing anticoagulation treatment using the standard two-stage approach and then compared with the conventional K-PD models. Data analysis shows that all models have a similar predictive ability, but the simplified models are most parsimonious.

Original languageEnglish (US)
Article number1550001
JournalBiomedical Engineering - Applications, Basis and Communications
Volume27
Issue number1
DOIs
StatePublished - Feb 14 2015

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Pharmacodynamics
Warfarin
International Normalized Ratio
Anticoagulants
Therapeutics
Kinetics
Control theory

Keywords

  • Dose-response model
  • Kinetic-pharmacodynamics
  • Mixed-effects model
  • Standard two-stage approach

ASJC Scopus subject areas

  • Biophysics
  • Biomedical Engineering
  • Bioengineering

Cite this

Simplified warfarin dose-response pharmacodynamic models. / Kim, Seongho; Gaweda, Adam E.; Wu, Dongfeng; Li, Lang; Rai, Shesh N.; Brier, Michael E.

In: Biomedical Engineering - Applications, Basis and Communications, Vol. 27, No. 1, 1550001, 14.02.2015.

Research output: Contribution to journalArticle

Kim, Seongho ; Gaweda, Adam E. ; Wu, Dongfeng ; Li, Lang ; Rai, Shesh N. ; Brier, Michael E. / Simplified warfarin dose-response pharmacodynamic models. In: Biomedical Engineering - Applications, Basis and Communications. 2015 ; Vol. 27, No. 1.
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