Objective: To study the performance of pharmacogenetics-based warfarin dosing algorithms in the initial and the stable warfarin treatment phases in a cohort of Han-Chinese patients undertaking mechanic heart valve replacement.
Methods: We searched PubMed, Chinese National Knowledge Infrastructure and Wanfang databases for selecting pharmacogenetics-based warfarin dosing models. Patients with mechanic heart valve replacement were consecutively recruited between March 2012 and July 2012. The predicted warfarin dose of each patient was calculated and compared with the observed initial and stable warfarin doses. The percentage of patients whose predicted dose fell within 20% of their actual therapeutic dose (percentage within 20%), and the mean absolute error (MAE) were utilized to evaluate the predictive accuracy of all the selected algorithms.
Results: A total of 8 algorithms including Du, Huang, Miao, Wei, Zhang, Lou, Gage, and International Warfarin Pharmacogenetics Consortium (IWPC) model, were tested in 181 patients. The MAE of the Gage, IWPC and 6 Han-Chinese pharmacogenetics-based warfarin dosing algorithms was less than 0.6 mg/day in accuracy and the percentage within 20% exceeded 45% in all of the selected models in both the initial and the stable treatment stages. When patients were stratified according to the warfarin dose range, all of the equations demonstrated better performance in the ideal-dose range (1.88-4.38 mg/day) than the low-dose range (<1.88 mg/day). Among the 8 algorithms compared, the algorithms of Wei, Huang, and Miao showed a lower MAE and higher percentage within 20% in both the initial and the stable warfarin dose prediction and in the low-dose and the ideal-dose ranges.
Conclusions: All of the selected pharmacogenetics-based warfarin dosing regimens performed similarly in our cohort. However, the algorithms of Wei, Huang, and Miao showed a better potential for warfarin prediction in the initial and the stable treatment phases in Han-Chinese patients undertaking mechanic heart valve replacement.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3984158 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0094573 | PLOS |
Pharmacogenet Genomics
December 2024
School of Nursing and Health, Henan University, Kaifeng, China.
Objective: Warfarin has a narrow therapeutic window and large variability in dosing that are affected by clinical and genetic factors. To help guide the dosing of warfarin, the Clinical Pharmacogenetics Implementation Consortium has recommended the use of pharmacogenetic algorithms, such as the ones developed by the International Warfarin Pharmacogenetics Consortium (IWPC) and by Gage et al. when genotype information is available.
View Article and Find Full Text PDFGenes (Basel)
September 2021
Department of Neurology, National Cerebral and Cardiovascular Center, Osaka 564-8565, Japan.
J Thromb Haemost
December 2021
Pharmacogenomics and Drug Metabolism Research Group, Division of Human Genetics, Department of Pathology & Institute of Infectious Disease and Molecular Medicine (IDM), Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Background: Warfarin dose variability observed in patients is attributed to variation in genes involved in the warfarin metabolic pathway. Genetic variation in CYP2C9 and VKORC1 has been the traditional focus in evaluating warfarin dose variability, with little focus on other genes.
Objective: We set out to evaluate 27 single nucleotide polymorphisms (SNPs) in the CYP2C cluster loci and 8 genes (VKORC1, ABCB1, CYP2C9, CYP2C19, CYP2C8, CYP1A2, CYP3A4, and CYP3A5) involved in pharmacokinetics of warfarin.
J Physiol Pharmacol
August 2018
Department of Pharmacodynamics, Medical University of Bialystok, Bialystok, Poland.
Predicting the clinical consequences of anticoagulant therapy by identifying gene variants could help in the risk assessment of thrombosis or bleeding before and after surgery and may result in choosing more beneficial therapy. This work provides an overview of pharmacogenetic data of commonly used anticoagulant medication. The review focuses on polymorphisms influencing the efficacy and safety of the parenteral and oral anticoagulants.
View Article and Find Full Text PDFThromb Res
November 2018
Institute of Cellular Medicine, Newcastle University and Newcastle upon Tyne Hospitals, NHS Foundation Trust, Newcastle upon Tyne, NE1 7RU, UK. Electronic address:
Introduction: Warfarin therapy is stopped for a fixed period prior to surgery to minimise risk of perioperative bleeding. However, anticoagulation subsides at varying rates among different patients. We evaluated the influence of genetic (CYP2C9 and VKORC1), patient and clinical factors on warfarin clearance and the decline in INR following warfarin withdrawal.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!