SUMMARY BACKGROUND: There is currently intense debate as to whether pharmacogenetic algorithms for estimating the initial dose of coumarins provide a more accurate dose than the fixed-dose approach. Recently, it has been suggested that the greatest benefit of pharmacogenetic algorithms is observed in patients with extreme dose requirements. OBJECTIVES: To identify clinical and genetic factors that better characterize patients who need extreme acenocoumarol doses for steady anticoagulation state. PATIENTS/ METHODS: We reviewed 9538 patients with a steady acenocoumarol dose from three Spanish hospitals, selecting 83 who took <or= 5.00 mg week(-1) (percentile 5, p5) and 203 taking >or= 30.00 mg week(-1) (p95). We also selected patients matched by gender and age taking 13.50-14.00 mg week(-1) (p50). We genotyped VKORC1 (rs9923231), CALU (rs1043550), GGCX (rs699664), CYP2C9 (rs1799853; rs1057910), CYP4F2 (rs2108622) and F7 (rs5742910) single-nucleotide polymorphisms (SNPs). RESULTS: Comparison between p5 and p95 revealed five parameters with significant differences: body surface area (BSA) (P = 0.006), age, VKORC1, CYP2C9 and CYP4F2 genotypes (all P < 0.001). First VKORC1, and second, CYP2C9 SNPs played a strong effect by determining extreme doses, particularly in p95. Only one out of 203 p95 had the VKORC1 A-1639A genotype, but this subject was CYP2C9*1/*1. In contrast, nine out of 83 p5 carried the VKORC1 G-1639G genotype, although six of them were CYP2C9*3 homozygotes and another two were heterozygotes. Surprisingly, CYP4F2 V433M SNP displayed prevalences that suggest that its influence might only be evident when patients are treated with high doses. CONCLUSION: Two clinical data, age and BSA, and three SNPs in the VKORC1, CYP2C9 and CYP4F2 genes strongly predict outlier patients treated with acenocoumarol.
SUMMARY BACKGROUND: There is currently intense debate as to whether pharmacogenetic algorithms for estimating the initial dose of coumarins provide a more accurate dose than the fixed-dose approach. Recently, it has been suggested that the greatest benefit of pharmacogenetic algorithms is observed in patients with extreme dose requirements. OBJECTIVES: To identify clinical and genetic factors that better characterize patients who need extreme acenocoumarol doses for steady anticoagulation state. PATIENTS/ METHODS: We reviewed 9538 patients with a steady acenocoumarol dose from three Spanish hospitals, selecting 83 who took <or= 5.00 mg week(-1) (percentile 5, p5) and 203 taking >or= 30.00 mg week(-1) (p95). We also selected patients matched by gender and age taking 13.50-14.00 mg week(-1) (p50). We genotyped VKORC1 (rs9923231), CALU (rs1043550), GGCX (rs699664), CYP2C9 (rs1799853; rs1057910), CYP4F2 (rs2108622) and F7 (rs5742910) single-nucleotide polymorphisms (SNPs). RESULTS: Comparison between p5 and p95 revealed five parameters with significant differences: body surface area (BSA) (P = 0.006), age, VKORC1, CYP2C9 and CYP4F2 genotypes (all P < 0.001). First VKORC1, and second, CYP2C9 SNPs played a strong effect by determining extreme doses, particularly in p95. Only one out of 203 p95 had the VKORC1 A-1639A genotype, but this subject was CYP2C9*1/*1. In contrast, nine out of 83 p5 carried the VKORC1 G-1639G genotype, although six of them were CYP2C9*3 homozygotes and another two were heterozygotes. Surprisingly, CYP4F2V433M SNP displayed prevalences that suggest that its influence might only be evident when patients are treated with high doses. CONCLUSION: Two clinical data, age and BSA, and three SNPs in the VKORC1, CYP2C9 and CYP4F2 genes strongly predict outlier patients treated with acenocoumarol.
Authors: Mirjana K Kovac; Ljiljana B Rakicevic; Jelena S Kusic-Tisma; Dragica P Radojkovic Journal: J Thromb Thrombolysis Date: 2013-01 Impact factor: 2.300
Authors: Antonio J Carcas; Alberto M Borobia; Marta Velasco; Francisco Abad-Santos; Manuel Quintana Díaz; Carmen Fernández-Capitán; Nuria Ruiz-Giménez; Olga Madridano; Pilar Llamas Sillero Journal: Trials Date: 2012-12-13 Impact factor: 2.279
Authors: Alberto M Borobia; Rubin Lubomirov; Elena Ramírez; Alicia Lorenzo; Armando Campos; Raul Muñoz-Romo; Carmen Fernández-Capitán; Jesús Frías; Antonio J Carcas Journal: PLoS One Date: 2012-07-20 Impact factor: 3.240