Personalized Anticoagulation: Optimizing Warfarin Management Using Genetics and Simulated Clinical Trials

Background— Clinical trials testing pharmacogenomic-guided warfarin dosing for patients with atrial fibrillation have demonstrated conflicting results. Non–vitamin K antagonist oral anticoagulants are expensive and contraindicated for several conditions. A strategy optimizing anticoagulant selection remains an unmet clinical need. Methods and Results— Characteristics from 14 206 patients with atrial fibrillation were integrated into a validated warfarin clinical trial simulation framework using iterative Bayesian network modeling and a pharmacokinetic–pharmacodynamic model. Individual dose–response for patients was simulated for 5 warfarin protocols—a fixed-dose protocol, a clinically guided protocol, and 3 increasingly complex pharmacogenomic-guided protocols. For each protocol, a complexity score was calculated using the variables predicting warfarin dose and the number of predefined international normalized ratio (INR) thresholds for each adjusted dose. Study outcomes included optimal time in therapeutic range ≥65% and clinical events. A combination of age and genotype identified different optimal protocols for various subpopulations. A fixed-dose protocol provided well-controlled INR only in normal responders ≥65, whereas for normal responders <65 years old, a clinically guided protocol was necessary to achieve well-controlled INR. Sensitive responders ≥65 and <65 and highly sensitive responders ≥65 years old required pharmacogenomic-guided protocols to achieve well-controlled INR. However, highly sensitive responders <65 years old did not achieve well-controlled INR and had higher associated clinical events rates than other subpopulations. Conclusions— Under the assumptions of this simulation, patients with atrial fibrillation can be triaged to an optimal warfarin therapy protocol by age and genotype. Clinicians should consider alternative anticoagulation therapy for patients with suboptimal outcomes under any warfarin protocol.

[1]  K. Coffman,et al.  Secondary , 2020, Definitions.

[2]  M. Biteker,et al.  PRescriptiOn PattERns of Oral Anticoagulants in Nonvalvular Atrial Fibrillation (PROPER study) , 2017, Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis.

[3]  H. Mulla,et al.  Personalised dosing of medicines for children , 2017, The Journal of pharmacy and pharmacology.

[4]  Jay J. Shen,et al.  Association of medication errors with drug classifications, clinical units, and consequence of errors: Are they related? , 2017, Applied nursing research : ANR.

[5]  G. Lip,et al.  Antithrombotic Treatment Patterns in Patients with Newly Diagnosed Nonvalvular Atrial Fibrillation: The GLORIA-AF Registry, Phase II. , 2015, The American journal of medicine.

[6]  J. Harper,et al.  The community pharmacy-based anticoagulation management service achieves a consistently high standard of anticoagulant care. , 2015, The New Zealand medical journal.

[7]  E. Antman,et al.  Genetics and the clinical response to warfarin and edoxaban: findings from the randomised, double-blind ENGAGE AF-TIMI 48 trial , 2015, The Lancet.

[8]  Murray B Trusler Well-managed warfarin is superior to NOACs. , 2015, Canadian family physician Medecin de famille canadien.

[9]  D. Malenka,et al.  Evaluation of practice patterns in the treatment of atrial fibrillation among the commercially insured , 2014, Current medical research and opinion.

[10]  Munir Pirmohamed,et al.  A Randomized Trial of Genotype-Guided Dosing of Warfarin , 2014 .

[11]  M Pirmohamed,et al.  Cost‐Effectiveness of Pharmacogenetics‐Guided Warfarin Therapy vs. Alternative Anticoagulation in Atrial Fibrillation , 2014, Clinical pharmacology and therapeutics.

[12]  Rita Barallon,et al.  A randomized trial of genotype-guided dosing of acenocoumarol and phenprocoumon. , 2013, The New England journal of medicine.

[13]  R. Califf,et al.  A pharmacogenetic versus a clinical algorithm for warfarin dosing. , 2013, The New England journal of medicine.

[14]  K. Bauer Pros and cons of new oral anticoagulants. , 2013, Hematology. American Society of Hematology. Education Program.

[15]  G. Lip,et al.  Factors affecting quality of anticoagulation control among patients with atrial fibrillation on warfarin: the SAMe-TT₂R₂ score. , 2013, Chest.

[16]  J. Tu,et al.  Temporal trends in medication use and outcomes in atrial fibrillation. , 2013, The Canadian journal of cardiology.

[17]  R. de Caterina,et al.  Parenteral anticoagulants in heart disease: Current status and perspectives (Section II) , 2013, Thrombosis and Haemostasis.

[18]  Chih-Lin Chi,et al.  A Systems Approach to Designing Effective Clinical Trials Using Simulations , 2013, Circulation.

[19]  G. Lip,et al.  Vitamin K antagonists in heart disease: Current status and perspectives (Section III) , 2013, Thrombosis and Haemostasis.

[20]  B. Horne,et al.  A Randomized and Clinical Effectiveness Trial Comparing Two Pharmacogenetic Algorithms and Standard Care for Individualizing Warfarin Dosing (CoumaGen-II) , 2012, Circulation.

[21]  C. Richards,et al.  Emergency hospitalizations for adverse drug events in older Americans. , 2011, The New England journal of medicine.

[22]  S. Vinker,et al.  Quality of anticoagulation control among patients with atrial fibrillation. , 2011, The American journal of managed care.

[23]  R. Desnick,et al.  Combined CYP2C9, VKORC1 and CYP4F2 frequencies among racial and ethnic groups. , 2010, Pharmacogenomics.

[24]  R L Berg,et al.  Integration of Genetic, Clinical, and INR Data to Refine Warfarin Dosing , 2010, Clinical pharmacology and therapeutics.

[25]  R. Altman,et al.  Estimation of the warfarin dose with clinical and pharmacogenetic data. , 2009, The New England journal of medicine.

[26]  K. Nelander,et al.  INR variability in atrial fibrillation: a risk model for cerebrovascular events. , 2009, European journal of internal medicine.

[27]  B. Horne,et al.  Randomized Trial of Genotype-Guided Versus Standard Warfarin Dosing in Patients Initiating Oral Anticoagulation , 2007, Circulation.

[28]  Yusheng Zhu,et al.  Estimation of warfarin maintenance dose based on VKORC1 (-1639 G>A) and CYP2C9 genotypes. , 2007, Clinical chemistry.

[29]  E N Jonsson,et al.  A PK–PD Model for Predicting the Impact of Age, CYP2C9, and VKORC1 Genotype on Individualization of Warfarin Therapy , 2007, Clinical pharmacology and therapeutics.

[30]  M. Pirmohamed,et al.  Pharmacogenetics of warfarin: current status and future challenges , 2007, The Pharmacogenomics Journal.

[31]  H. Diener,et al.  Secondary Stroke Prevention With Ximelagatran Versus Warfarin in Patients With Atrial Fibrillation: Pooled Analysis of SPORTIF III and V Clinical Trials , 2007, Stroke.

[32]  T. Wienker,et al.  VKORC1 haplotypes and their impact on the inter-individual and inter-ethnical variability of oral anticoagulation , 2005, Thrombosis and Haemostasis.

[33]  Peter Wood,et al.  The impact of CYP2C9 and VKORC1 genetic polymorphism and patient characteristics upon warfarin dose requirements: proposal for a new dosing regimen. , 2005, Blood.

[34]  D. Tregouet,et al.  Cytochrome P450 2C9 (CYP2C9) and vitamin K epoxide reductase (VKORC1) genotypes as determinants of acenocoumarol sensitivity. , 2005, Blood.

[35]  S. Olsson,et al.  Stroke prevention with the oral direct thrombin inhibitor ximelagatran compared with warfarin in patients with non-valvular atrial fibrillation (SPORTIF III): randomised controlled trial , 2003, The Lancet.

[36]  J. Hixson-Wallace,et al.  Effect of Regimen Complexity on Patient Satisfaction and Compliance With Warfarin Therapy , 2001, Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis.

[37]  F R Rosendaal,et al.  A Method to Determine the Optimal Intensity of Oral Anticoagulant Therapy , 1993, Thrombosis and Haemostasis.

[38]  G. Lip,et al.  Factors Affecting Quality of Anticoagulation Control Among Patients With Atrial Fibrillation on Warfarin The SAMe-TT 2 R 2 Score , 2022 .

[39]  S. Kimmel,et al.  Improving Patient Adherence to Warfarin Therapy , 2022 .