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Evaluation of a warfarin dosing algorithm including CYP2C9, VKORC1, and CYP4F2 polymorphisms and non-genetic determinants for the Iranian population

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Abstract

Background

The response to warfarin, as an oral anticoagulant agent, varies widely among patients from different ethnic groups. In this study, we tried to ascertain and determine the relationship between non-genetic factors and genetic polymorphisms with warfarin therapy; we then proposed a new warfarin dosing prediction algorithm for the estimation of drug sensitivity and resistance in the Iranian population.

Methods

Overall, 200 warfarin-treated patients with stable doses were recruited, the demographic and clinical characteristics were documented, and genotyping was done using a sequencing assay.

Results

The outcomes of our investigation showed that the genetic polymorphisms of VKORC1(-1639 G > A), CYP2C9*3, CYP2C9*2, amiodarone use, and increasing age were found to be related to a significantly lower mean daily warfarin dose. In contrast, the CYP4F2*3 variant and increased body surface area were linked with an increased dose of warfarin in the Iranians. Our descriptive model could describe 56.5% of the variability in response to warfarin. This population-specific dosing model performed slightly better than other previously published warfarin algorithms for our patient’s series. Furthermore, our findings provided the suggestion that incorporating the CYP4F2*3 variant into the dosing algorithm could result in a more precise calculation of warfarin dose requirements in the Iranian population.

Conclusions

We proposed and validated a population-specific dosing algorithm based on genetic and non-genetic determinants for Iranian patients and evaluated its performance. Accordingly, by using this newly developed algorithm, prescribers could make more informed decisions regarding the treatment of Iranian patients with warfarin.

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Availability of data and materials

The datasets generated during and/or analyzed during the current study are available from the corresponding author upon reasonable request.

Abbreviations

BSA:

Body surface area

CYP2C9 :

Cytochrome P450 2C9

CYP4F2 :

Cytochrome P450 4F2

INR:

International normalized ratio

MAE:

Mean absolute error

MAPE:

Mean absolute percentage error

MRE:

Mean relative error

SD:

Standard deviation

VIF:

Variance inflation factor

VKORC1:

Vitamin K epoxide reductase complex 1

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Acknowledgements

We appreciate each patient's continued involvement in this study. We also thank all the nurses and staff of Booali Sina Hospital for their assistance during the study. We would like to thank Dr. Haj Manouchehri, Bahar Laboratory, Qazvin, for contributing to method development. We highly thank Dr. Hamidreza Javadi, Qazvin University of medical science, for his valuable and constructive suggestions regarding the initial design of this study.

Funding

This research study was funded by the Cellular and Molecular Research Center, Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran (28/20/17123).

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Authors and Affiliations

Authors

Contributions

MFD conceived the idea, carried out the experiments, gathered and evaluated the data, and wrote the main manuscript. FSR edited, guided, and supervised the manuscript. SSF examined and selected the appropriate patients to be included in the study. AJ analyzed and interpreted the data. SC and DHA conceived and designed the experimental methodologies. Finally, BR developed the concept of the presented idea, guided the experiments, supervised the study, and edited the whole manuscript.

Corresponding author

Correspondence to Babak Rahmani.

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Conflict of interest

The authors state that they have no interest conflict.

Ethical approval

The local Ethical Committee of Qazvin University of Medical Sciences (QUMS), Qazvin, Iran, approved this study (IR.QUMS.REC.1397.367), and from all patients, before entering the study, written informed consent was acquired.

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Farajzadeh-Dehkordi, M., Samiee-Rad, F., Farzam, S.S. et al. Evaluation of a warfarin dosing algorithm including CYP2C9, VKORC1, and CYP4F2 polymorphisms and non-genetic determinants for the Iranian population. Pharmacol. Rep 75, 695–704 (2023). https://doi.org/10.1007/s43440-023-00476-2

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