Predicting the warfarin maintenance dose in elderly inpatients at treatment initiation: accuracy of dosing algorithms incorporating or not VKORC1/CYP2C9 genotypes

2011 ◽  
Vol 9 (4) ◽  
pp. 711-718 ◽  
Author(s):  
C. MOREAU ◽  
E. PAUTAS ◽  
I. GOUIN-THIBAULT ◽  
J.-L. GOLMARD ◽  
I. MAHÉ ◽  
...  
Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 189-189
Author(s):  
Caroline Moreau ◽  
Eric Pautas ◽  
Isabelle Gouin-Thibault ◽  
Jean-Louis Golmard ◽  
Marie-Anne Loriot ◽  
...  

Abstract Abstract 189 In frail elderly patients, the low warfarin maintenance dose requirements and high risk of thrombosis and bleeding raise specific challenges, especially at treatment initiation. Because of a narrow therapeutic index and a marked interindividual variability in dosage requirements, warfarin induction doses must be tailored to individual and disease-specific factors. The aim of our multicenter study was to investigate whether VKORC1 and CYP2C9 genotypes helped to predict the warfarin maintenance dose when added to demographic, clinical data and INR values prospectively collected at baseline and during warfarin induction. In a cohort of elderly inpatients, we developed clinical and pharmacogenetic models and evaluated their accuracy in predicting the warfarin maintenance dose comparatively to the accuracy of a dosing algorithm based solely on INR values. The derivation sample consisted in 115 Caucasian inpatients (mean age, 86 years), all initiated using the same warfarin induction protocol designed for the elderly (Siguret, Am J Med 2005, Gouin-Thibault J Am Geriatr Soc 2010): INR was measured at baseline, the day after three 4-mg warfarin intake (Day 3) (INR3) and on Day 6±1: their values allowed to adjust the dose according to the algorithm. The actual daily warfarin maintenance dose was defined as the amount of warfarin required to achieve a stable INR in the 2.0–3.0 range in two consecutive samples at least 48–72 h apart, in the absence of dosage changes within the previous 4 days. At baseline, the clinical model failed to accurately predict the maintenance dose (R2 <10%). Adding the VKORC1 and CYP2C9 genotypes to the model increased R2 to 31%, indicating that genetic factors were the main determinants of the maintenance dose in our population before warfarin initiation (Table). On Day 3, the predictive information provided by the VKORC1 genotype was completely embedded in the INR3, whereas the CYP2C9 genotype remained (albeit slightly) a significant predictor (Table). After 6±1 days, neither genotype correlated with the warfarin dose (Table). Finally, the maintenance dose was safely predicted by our simple dosing-algorithm solely based on INR3 (R2 0.77) and INR6±1 (R2 0.81), without genetic information: it underestimated the dose by more than 1 mg in fewer than 10% of patients and overestimated the dose by more than 1 mg in fewer than 2%. All clinical models were validated in an independent sample of 55 elderly inpatients, in whom warfarin therapy was initiated using the same dosing algorithm. In 2007, the US FDA added to the warfarin labeling information consideration of the VKORC1 and CYP2C9 genotypes for dose determination. However, our results do not support the routine prospective use of genetically guided dosing in elderly inpatients starting warfarin therapy. Our simple dosing algorithm, which is inexpensive and widely applicable, safely and accurately predicts the warfarin maintenance dose in elderly inpatients at treatment initiation without requiring genetic information. Table. Clinical and pharmacogenetic regression models for predicting daily warfarin maintenance doses in the derivation sample Clinical Models Pharmacogenetic Models Models (M) Variable Final model P value Models (M-G) Variable Final model P value M0 INR0 0.0091 M0-G Age 0.0119 Indication (a) 0.0222 INR0 0.0479 CYP2C9, per variant allele (b) 0.0174 VKORC1 –1639A, per A allele (c) <0.0001 R2 0.06 R2 0.31 M3 Age 0.0243 M3-G Age 0.0234 Indication (a) 0.0229 Indication (a) 0.0190 INR3 <0.0001 INR3 <0.0001 CYP2C9, per variant allele (b) 0.0267 VKORC1 –1639A, per A allele (c) NS R2 0.52 R2 0.55 M6 Age 0.0313 M6-G Age 0.0313 INR6±1 <0.0001 INR6±1 <0.0001 ΔDose6±1 <0.0001 ΔDose6±1 <0.0001 INR6±1/ΔDose6±1 0.0011 INR6±1/ΔDose6±1 0.0011 CYP2C9, per variant allele (b) NS VKORC1 –1639A, per A allele (c) NS R2 0.80 R2 0.80 (a) indication for warfarin: 0 for venous and 1 for arterial thromboembolic disease; (b) CYP2C9 coded 0 (wild-type), 1 (CYP2C9 *2 or CYP2C9 *3 variant allele), or 2 (2 variant alleles); (c)VKORC1 coded 0 (wild-type GG); ΔDose6±1, cumulated dose (mg) between Day 0 and the day on which INR6±1 was measured. Disclosures: No relevant conflicts of interest to declare.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Lihong Tian ◽  
Pingping Xiao ◽  
Bingrong Zhou ◽  
Yishan Chen ◽  
Lijuan Kang ◽  
...  

This meta-analysis was conducted to analyze the effect of NQO1 polymorphism on the warfarin maintenance dosage. Using strict inclusion and exclusion criteria, we searched PubMed, EMBASE, and the Cochrane Library for eligible studies published prior to July 7, 2021. The required data were extracted, and experts were consulted when necessary. Review Manager Version 5.4 software was used to analyze the relationship between NQO1 polymorphisms and the warfarin maintenance dosage. Four articles involving 757 patients were included in the meta-analysis. Patients who were NQO1 rs10517 G carriers (AG carriers or GG carriers) required a 48% higher warfarin maintenance dose than those who were AA carriers. Patients with NQO1 rs1800566 CT carriers required a 13% higher warfarin dose than those who were CC carriers, with no associations observed with the other comparisons of the NQO1 rs1800566 genotypes. However, the results obtained by comparing the NQO1 rs1800566 genotypes require confirmation, as significant changes in the results were found in sensitivity analyses. Our meta-analysis suggests that the NQO1 rs10517and NQO1 rs1800566 variant statuses affect the required warfarin maintenance dose.


1992 ◽  
Vol 52 (1) ◽  
pp. 42-49 ◽  
Author(s):  
Aharon Lubetsky ◽  
Uri Seligsohn ◽  
David Ezra ◽  
Hillel Halkin

2009 ◽  
Vol 19 (3) ◽  
pp. 226-234 ◽  
Author(s):  
Sheng-Wen Huang ◽  
Hai-Sheng Chen ◽  
Xian-Qun Wang ◽  
Ling Huang ◽  
Ding-Li Xu ◽  
...  

2007 ◽  
Vol 53 (7) ◽  
pp. 1199-1205 ◽  
Author(s):  
Yusheng Zhu ◽  
Michael Shennan ◽  
Kristen K Reynolds ◽  
Nancy A Johnson ◽  
Matthew R Herrnberger ◽  
...  

Abstract Background: CYP2C9 polymorphisms are associated with decreased S-warfarin clearance and lower maintenance dosage. Decreased expression of VKORC1 resulting from the −1639G&gt;A substitution has also been implicated in lower warfarin dose requirements. We investigated the additional contribution of this polymorphism to the variance in warfarin dose. Methods: Sixty-five patients with stable anticoagulation were genotyped for CYP2C9 and VKORC1 with Tag-It™ allele-specific primer extension technology. Plasma S-warfarin concentrations and warfarin maintenance dose were compared among patients on the basis of the VKORC1 −1639G&gt;A genotype. Results: Eighty percent of CYP2C9*1/*1 patients stabilized on &lt;4.0 mg/day warfarin had at least 1 VKORC1 −1639A allele. Mean warfarin doses (SD) were 6.7 (3.3), 4.3 (2.2), and 2.7 (1.2) mg/day for patients with the VKORC1 −1639GG, GA, and AA genotypes, respectively. Steady-state plasma concentrations of S-warfarin were lowest in patients with the VKORC1 −1639AA genotype and demonstrated a positive association with the VKORC1 −1639G allele copy number (trend P = 0.012). A model including VKORC1 and CYP2C9 genotypes, age, sex, and body weight accounted for 61% of the variance in warfarin daily maintenance dose. Conclusions: The VKORC1 −1639A allele accounts for low dosage requirements of most patients without a CYP2C9 variant. Higher plasma S-warfarin concentrations corresponding to increased warfarin maintenance dosages support a hypothesis for increased expression of the VKORC1 −1639G allele. VKORC1 and CYP2C9 genotypes, age, sex, and body weight account for the majority of variance in warfarin dose among our study population.


2019 ◽  
Vol 75 (7) ◽  
pp. 901-911 ◽  
Author(s):  
Maki Sasano ◽  
Masako Ohno ◽  
Yuya Fukuda ◽  
Shinpei Nonen ◽  
Sachiko Hirobe ◽  
...  

2014 ◽  
Vol 20 (4) ◽  
pp. 376-381 ◽  
Author(s):  
Paulo Caleb Junior Lima Santos ◽  
Renata Alonso Gadi Soares ◽  
Celia Maria Cassaro Strunz ◽  
Max Grinberg ◽  
João Fernando M. Ferreira ◽  
...  

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