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Relationship between warfarin dosage and international normalized ratio: a dose–response analysis and evaluation based on multicenter data

  • Pharmacodynamics
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Abstract

Purpose

The objectives of the study were to establish a dose–response model for warfarin based on the relationship between daily warfarin dose and international normalized ratio (INR) and to evaluate the stability and reliability of the established model using external data.

Methods

Clinical data were recorded from 676 outpatients with a steady-state warfarin dosage. Demographic characteristics, concomitant medications, daily dosage of warfarin, CYP2C9 and VKORC1 genotypes, and INR were recorded. Data analysis based on the Michaelis–Menten equation to describe the relationship between daily warfarin dose and INR was performed using NONMEM. The reliability and stability of the final model were evaluated using goodness-of-fit plots, resampling techniques with a nonparametric bootstrap, and external data.

Results

The daily warfarin dose and INR were described by a more pharmacologically expressive model than multivariate linear regression (MLR) model. The population standard value of Km was 3.56 mg, and the Hill coefficient was 0.512, with individual variabilities of 53.1% and 55.9%, respectively. CYP2C9 *1/*3, VKORC1 AA, concomitant amiodarone, and nonheart valve replacement reduced the warfarin Km by 30.4%, 74.3%, 34.5%, and 39.4%, respectively. The Km value decreased with age and increased with fat free mass (FFM). INR prediction error (73.0%) of the external datasets was within ± 20%.

Conclusion

A dose–response model of warfarin was established based on the relationship between daily warfarin dose and INR. Expected genotype effects on Km and demographic characteristics were confirmed. The model has the potential to be a powerful tool for individualized warfarin therapy for Chinese outpatients.

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References

  1. International Warfarin Pharmacogenetics C, Klein TE, Altman RB, Eriksson N, Gage BF, Kimmel SE, Lee MT, Limdi NA, Page D, Roden DM, Wagner MJ, Caldwell MD, Johnson JA (2009) Estimation of the warfarin dose with clinical and pharmacogenetic data. N Engl J Med 360(8):753–764. https://doi.org/10.1056/NEJMoa0809329

    Article  Google Scholar 

  2. Gong IY, Tirona RG, Schwarz UI, Crown N, Dresser GK, Larue S, Langlois N, Lazo-Langner A, Zou G, Roden DM, Stein CM, Rodger M, Carrier M, Forgie M, Wells PS, Kim RB (2011) Prospective evaluation of a pharmacogenetics-guided warfarin loading and maintenance dose regimen for initiation of therapy. Blood 118(11):3163–3171. https://doi.org/10.1182/blood-2011-03-345173

    Article  CAS  PubMed  Google Scholar 

  3. Limdi NA, Brown TM, Yan Q, Thigpen JL, Shendre A, Liu N, Hill CE, Arnett DK, Beasley TM (2015) Race influences warfarin dose changes associated with genetic factors. Blood 126(4):539–545. https://doi.org/10.1182/blood-2015-02-627042

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. O'Dell KM, Igawa D, Hsin J (2012) New Oral anticoagulants for atrial fibrillation: a review of clinical trials. Clin Ther 34(4):894–901. https://doi.org/10.1016/j.clinthera.2012.01.019

    Article  CAS  PubMed  Google Scholar 

  5. Wadhera RK, Russell CE, Piazza G (2014) Warfarin versus novel oral anticoagulants how to choose? Circulation 130(22):E191–E193. https://doi.org/10.1161/Circulationaha.114.010426

    Article  PubMed  Google Scholar 

  6. Bajalan M, Biggs TC, Jayaram S, Mainwaring J, Salib R (2015) A guide to new anticoagulant medications for ENT surgeons. J Laryngol Otol 129(12):1167–1173. https://doi.org/10.1017/S0022215115002765

    Article  CAS  PubMed  Google Scholar 

  7. Limdi NA, Veenstra DL (2008) Warfarin pharmacogenetics. Pharmacotherapy 28(9):1084–1097. https://doi.org/10.1592/phco.28.9.1084

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Turagam MK, Velagapudi P, Bongu NR, Kocheril AG (2014) Novel anticoagulants vs warfarin for stroke prevention in atrial fibrillation. Cardiovasc Hematol Disord Drug Targets 14(1):79–86

    Article  CAS  PubMed  Google Scholar 

  9. Hirsh J, Fuster V, Ansell J, Halperin JL, American Heart A, American College of Cardiology F (2003) American Heart Association/American College of Cardiology Foundation guide to warfarin therapy. Circulation 107(12):1692–1711. https://doi.org/10.1161/01.CIR.0000063575.17904.4E

    Article  PubMed  Google Scholar 

  10. Hamberg AK, Dahl ML, Barban M, Scordo MG, Wadelius M, Pengo V, Padrini R, Jonsson EN (2007) A PK-PD model for predicting the impact of age, CYP2C9, and VKORC1 genotype on individualization of warfarin therapy. Clin Pharmacol Ther 81(4):529–538. https://doi.org/10.1038/sj.clpt.6100084

    Article  CAS  PubMed  Google Scholar 

  11. Xue L, Holford N, Ding XL, Shen ZY, Huang CR, Zhang H, Zhang JJ, Guo ZN, Xie C, Zhou L, Chen ZY, Liu LS, Miao LY (2017) Theory-based pharmacokinetics and pharmacodynamics of S- and R-warfarin and effects on international normalized ratio: influence of body size, composition and genotype in cardiac surgery patients. Br J Clin Pharmacol 83(4):823–835. https://doi.org/10.1111/bcp.13157

    Article  CAS  PubMed  Google Scholar 

  12. Zhao L, Chen CX, Li B, Dong L, Guo YQ, Xiao XJ, Zhang EY, Qin L (2014) Verification of pharmacogenetics-based warfarin dosing algorithms in Han-Chinese patients undertaking mechanic heart valve replacement. PLoS One 9 (4) DOI ARTN e94573 https://doi.org/10.1371/journal.pone.0094573

  13. Wu LX, Qi L, Li Y (2016) Challenges faced by young Chinese doctors. Lancet 387 (10028): 1617–1617

  14. Hamberg AK, Hellman J, Dahlberg J, Jonsson EN, Wadelius M (2015) A Bayesian decision support tool for efficient dose individualization of warfarin in adults and children. BMC Med Inform Decis Mak 15:7. https://doi.org/10.1186/s12911-014-0128-0

    Article  PubMed  PubMed Central  Google Scholar 

  15. Janmahasatian S, Duffull SB, Ash S, Ward LC, Byrne NM, Green B (2005) Quantification of lean bodyweight. Clin Pharmacokinet 44(10):1051–1065. https://doi.org/10.2165/00003088-200544100-00004

    Article  PubMed  Google Scholar 

  16. Ding JJ, Wang Y, Lin WW, Wang CL, Zhao LM, Li XG, Zhao ZG, Miao LY, Jiao Z (2015) A population pharmacokinetic model of Valproic acid in pediatric patients with epilepsy: a non-linear pharmacokinetic model based on protein-binding saturation. Clin Pharmacokinet 54(3):305–317. https://doi.org/10.1007/s40262-014-0212-8

    Article  CAS  PubMed  Google Scholar 

  17. Sasaki T, Tabuchi H, Higuchi S, Ieiri I (2009) Warfarin-dosing algorithm based on a population pharmacokinetic/pharmacodynamic model combined with Bayesian forecasting. Pharmacogenomics 10(8):1257–1266. https://doi.org/10.2217/pgs.09.65

    Article  CAS  PubMed  Google Scholar 

  18. Ette EI, Williams PJ (2004) Population pharmacokinetics I: background, concepts, and models. Ann Pharmacother 38(10):1702–1706. https://doi.org/10.1345/aph.1D374

    Article  PubMed  Google Scholar 

  19. Minto C, Schnider T (1998) Expanding clinical applications of population pharmacodynamic modelling. Br J Clin Pharmacol 46(4):321–333. https://doi.org/10.1046/j.1365-2125.1998.00792.x

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Yuan HY, Chen JJ, Lee MT, Wung JC, Chen YF, Charng MJ, Lu MJ, Hung CR, Wei CY, Chen CH, Wu JY, Chen YT (2005) A novel functional VKORC1 promoter polymorphism is associated with inter-individual and inter-ethnic differences in warfarin sensitivity. Hum Mol Genet 14(13):1745–1751. https://doi.org/10.1093/hmg/ddi180

    Article  CAS  PubMed  Google Scholar 

  21. Heimark LD, Wienkers L, Kunze K, Gibaldi M, Eddy AC, Trager WF, Oreilly RA, Goulart DA (1992) The mechanism of the interaction between amiodarone and warfarin in humans. Clin Pharmacol Ther 51(4):398–407

    Article  CAS  PubMed  Google Scholar 

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Acknowledgments

The authors would like to acknowledge the Chinese individualized drug therapy group of the International Network for the Rational Use of Drugs (INRUD). The authors would also like to acknowledge the English language editing of American Journal Experts.

Funding

This study was supported by the National Natural Science Foundation of China (grant numbers 81803628, 81700298, and 81503140), the National Key New Drug Creation Special Programs (2017ZX09304-021), the Suzhou Key Laboratory of Drug Clinical Research and Personalized Medicine (SZS201719), and People’s Livelihood Science and Technology Foundation of Suzhou Science and Technology Bureau (SYS201736).

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Correspondence to Zhenya Shen or Liyan Miao.

Ethics declarations

The present study was approved by the Health Authority Ethics Committee of the First Affiliated Hospital of Soochow University and was in accordance with the Declaration of Helsinki.

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The authors declare that they have no conflict of interest.

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Ling Xue, Yuzhen Zhang, and Cheng Xie should be considered joint first author.

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Xue, L., Zhang, Y., Xie, C. et al. Relationship between warfarin dosage and international normalized ratio: a dose–response analysis and evaluation based on multicenter data. Eur J Clin Pharmacol 75, 785–794 (2019). https://doi.org/10.1007/s00228-019-02655-8

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  • DOI: https://doi.org/10.1007/s00228-019-02655-8

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