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Evaluation of CYP2C9- and VKORC1-based pharmacogenetic algorithm for warfarin dose in Gaza-Palestine

AIM: To evaluate applicability of CYP2C9*2, *3 and VKORC1–1639G > A based algorithm to predict warfarin stable dose (WSD) in a group of Palestinian patients. PATIENTS & METHODS: Warfarin doses were retrospectively calculated for 101 Palestinian patients under warfarin therapy using three mode...

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Autores principales: Ayesh, Basim Mohammad, Abu Shaaban, Ahmed Shaker, Abed, Abdalla Asaf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Future Science Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5859345/
https://www.ncbi.nlm.nih.gov/pubmed/29568565
http://dx.doi.org/10.4155/fsoa-2017-0112
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author Ayesh, Basim Mohammad
Abu Shaaban, Ahmed Shaker
Abed, Abdalla Asaf
author_facet Ayesh, Basim Mohammad
Abu Shaaban, Ahmed Shaker
Abed, Abdalla Asaf
author_sort Ayesh, Basim Mohammad
collection PubMed
description AIM: To evaluate applicability of CYP2C9*2, *3 and VKORC1–1639G > A based algorithm to predict warfarin stable dose (WSD) in a group of Palestinian patients. PATIENTS & METHODS: Warfarin doses were retrospectively calculated for 101 Palestinian patients under warfarin therapy using three models. Performance of the three models was assessed in 47 patients found to take WSD. RESULTS: Frequency of CYP2C9*2, *3 and VKORC1–1639G > A alleles is 13.6, 0.0 and 46.5% respectively. The international warfarin pharmacogenetics consortium algorithm was more reliable (MAE = 8.9 ± 1.4; R(2) = 0.350) than both the clinical algorithm (MAE = 10.4 ± 1.4; R(2) = 0.128;) and the fixed-dose algorithm (MAE = 11.1 ± 1.7). CONCLUSION: The international warfarin pharmacogenetics consortium algorithm can be reliably applied for predicting the WSD in Palestinian population.
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spelling pubmed-58593452018-03-22 Evaluation of CYP2C9- and VKORC1-based pharmacogenetic algorithm for warfarin dose in Gaza-Palestine Ayesh, Basim Mohammad Abu Shaaban, Ahmed Shaker Abed, Abdalla Asaf Future Sci OA Research Article AIM: To evaluate applicability of CYP2C9*2, *3 and VKORC1–1639G > A based algorithm to predict warfarin stable dose (WSD) in a group of Palestinian patients. PATIENTS & METHODS: Warfarin doses were retrospectively calculated for 101 Palestinian patients under warfarin therapy using three models. Performance of the three models was assessed in 47 patients found to take WSD. RESULTS: Frequency of CYP2C9*2, *3 and VKORC1–1639G > A alleles is 13.6, 0.0 and 46.5% respectively. The international warfarin pharmacogenetics consortium algorithm was more reliable (MAE = 8.9 ± 1.4; R(2) = 0.350) than both the clinical algorithm (MAE = 10.4 ± 1.4; R(2) = 0.128;) and the fixed-dose algorithm (MAE = 11.1 ± 1.7). CONCLUSION: The international warfarin pharmacogenetics consortium algorithm can be reliably applied for predicting the WSD in Palestinian population. Future Science Ltd 2018-01-10 /pmc/articles/PMC5859345/ /pubmed/29568565 http://dx.doi.org/10.4155/fsoa-2017-0112 Text en © 2018 BM Ayesh, AA Shaabanb, AA Abed This work is licensed under a Creative Commons Attribution 4.0 License (http://creativecommons.org/licenses/by/4.0/)
spellingShingle Research Article
Ayesh, Basim Mohammad
Abu Shaaban, Ahmed Shaker
Abed, Abdalla Asaf
Evaluation of CYP2C9- and VKORC1-based pharmacogenetic algorithm for warfarin dose in Gaza-Palestine
title Evaluation of CYP2C9- and VKORC1-based pharmacogenetic algorithm for warfarin dose in Gaza-Palestine
title_full Evaluation of CYP2C9- and VKORC1-based pharmacogenetic algorithm for warfarin dose in Gaza-Palestine
title_fullStr Evaluation of CYP2C9- and VKORC1-based pharmacogenetic algorithm for warfarin dose in Gaza-Palestine
title_full_unstemmed Evaluation of CYP2C9- and VKORC1-based pharmacogenetic algorithm for warfarin dose in Gaza-Palestine
title_short Evaluation of CYP2C9- and VKORC1-based pharmacogenetic algorithm for warfarin dose in Gaza-Palestine
title_sort evaluation of cyp2c9- and vkorc1-based pharmacogenetic algorithm for warfarin dose in gaza-palestine
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5859345/
https://www.ncbi.nlm.nih.gov/pubmed/29568565
http://dx.doi.org/10.4155/fsoa-2017-0112
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