RT Journal Article
T1 A New Pharmacogenetic Algorithm to Predict the Most Appropriate Dosage of Acenocoumarol for Stable Anticoagulation in a Mixed Spanish Population.
A1 Tong, Hoi Y
A1 Dávila-Fajardo, Cristina Lucía
A1 Borobia, Alberto M
A1 Martínez-González, Luis Javier
A1 Lubomirov, Rubin
A1 Perea León, Laura María
A1 Blanco Bañares, María J
A1 Díaz-Villamarín, Xando
A1 Fernández-Capitán, Carmen
A1 Cabeza Barrera, José
A1 Carcas, Antonio J
K1 Algoritmos
K1 Anticoagulantes
K1 Humanos
K1 Farmacogenética
K1 España
K1 Acenocumarol
AB There is a strong association between genetic polymorphisms and the acenocoumarol dosage requirements. Genotyping the polymorphisms involved in the pharmacokinetics and pharmacodynamics of acenocoumarol before starting anticoagulant therapy would result in a better quality of life and a more efficient use of healthcare resources. The objective of this study is to develop a new algorithm that includes clinical and genetic variables to predict the most appropriate acenocoumarol dosage for stable anticoagulation in a wide range of patients. We recruited 685 patients from 2 Spanish hospitals and 1 primary healthcare center. We randomly chose 80% of the patients (n = 556), considering an equitable distribution of genotypes to form the generation cohort. The remaining 20% (n = 129) formed the validation cohort. Multiple linear regression was used to generate the algorithm using the acenocoumarol stable dosage as the dependent variable and the clinical and genotypic variables as the independent variables. The variables included in the algorithm were age, weight, amiodarone use, enzyme inducer status, international normalized ratio target range and the presence of CYP2C9*2 (rs1799853), CYP2C9*3 (rs1057910), VKORC1 (rs9923231) and CYP4F2 (rs2108622). The coefficient of determination (R2) explained by the algorithm was 52.8% in the generation cohort and 64% in the validation cohort. The following R2 values were evaluated by pathology: atrial fibrillation, 57.4%; valve replacement, 56.3%; and venous thromboembolic disease, 51.5%. When the patients were classified into 3 dosage groups according to the stable dosage (<11 mg/week, 11-21 mg/week, >21 mg/week), the percentage of correctly classified patients was higher in the intermediate group, whereas differences between pharmacogenetic and clinical algorithms increased in the extreme dosage groups. Our algorithm could improve acenocoumarol dosage selection for patients who will begin treatment with this drug, especially in extreme-dosage patients. The predictability of the pharmacogenetic algorithm did not vary significantly between diseases.
PB Public Library of Science
YR 2016
FD 2016-03-15
LK http://hdl.handle.net/10668/2497
UL http://hdl.handle.net/10668/2497
LA en
NO Tong HY, Dávila-Fajardo CL, Borobia AM, Martínez-González LJ, Lubomirov R, Perea León LM, et al. A New Pharmacogenetic Algorithm to Predict the Most Appropriate Dosage of Acenocoumarol for Stable Anticoagulation in a Mixed Spanish Population. PLoS ONE. 2016; 11(3):e0150456
NO Journal Article; Research Support, Non-U.S. Gov't;
DS RISalud
RD Apr 12, 2025