Warfarin Maintenance Dose In Patients Research Articles

An Adapted Neural-Fuzzy Inference System Model Using Preprocessed Balance Data to Improve the Predictive Accuracy of Warfarin Maintenance Dosing in Patients After Heart Valve Replacement.

Tailoring warfarin use poses a challenge for physicians and pharmacists due to its narrow therapeutic window and substantial inter-individual variability. This study aimed to create an adapted neural-fuzzy inference system (ANFIS) model using preprocessed balance data to improve the predictive accuracy of warfarin maintenance dosing in Chinese patients undergoing heart valve replacement (HVR). This retrospective study enrolled patients who underwent HVR between June 1, 2012, and June 1, 2016, from 35 centers in China. The primary outcomes were the mean difference between predicted warfarin dose by ANFIS models and actual dose and the models' predictive accuracy, including the ideal predicted percentage, the mean absolute error (MAE), and the mean squared error (MSE). The eligible cases were divided into training, internal validation, and external validation groups. We explored input variables by univariate analysis of a general linear model and created two ANFIS models using imbalanced and balanced training sets. We finally compared the primary outcomes between the imbalanced and balanced ANFIS models in both internal and external validation sets. Stratified analyses were conducted across warfarin doses (low, medium, and high doses). A total of 15,108 patients were included and grouped as follows: 12,086 in the imbalanced training set; 2820 in the balanced training set; 1511 in the internal validation set; and 1511 in the external validation set. Eight variables were explored as predictors related to warfarin maintenance doses, and imbalanced and balanced ANFIS models with multi-fuzzy rules were developed. The results showed a low mean difference between predicted and actual doses (< 0.3 mg/d for each model) and an accurate prediction property in both the imbalanced model (ideal prediction percentage, 74.39-78.16%; MAE, 0.37 mg/daily; MSE, 0.39 mg/daily) and the balanced model (ideal prediction percentage, 73.46-75.31%; MAE, 0.42 mg/daily; MSE, 0.43 mg/daily). Compared to the imbalanced model, the balanced model had a significantly higher prediction accuracy in the low-dose (14.46% vs. 3.01%; P < 0.001) and the high-dose warfarin groups (34.71% vs. 23.14%; P = 0.047). The results from the external validation cohort confirmed this finding. The ANFIS model can accurately predict the warfarin maintenance dose in patients after HVR. Through data preprocessing, the balanced model contributed to improved prediction ability in the low- and high-dose warfarin groups.

Genetic variant in the promoter region of microRNA‑137 reduces the warfarin maintenance dose in patients with atrial fibrillation.

A substantial body of research has confirmed that Vitamin K epoxide reductase complex subunit 1 (VKORC1) plays a role in contributing to the high interpatient variability in the warfarin maintenance dose. The aim of the present study was to examine the impact of SNPs of miR‑137 on the warfarin maintenance dose. Computational analysis and luciferase assay were used to search the targets of miR‑137, and luciferase assay was also used to confirm the effect of the polymorphisms on the transcription of the promoter. The regulatory relationship between miR‑137 and VKORC1 was detected using real‑time PCR. We then performed statistical analysis to find the warfarin maintenance dose in the different groups. A total of 155 subjects were enrolled in our research, and the characteristics of the patients were collected. Using computational analysis, we identified that miR‑137 binds to the VKORC1 3'untranslated region (3'UTR) and regulates the expression of VKORC1. This hypothesis was confirmed by luciferase reporter assay as miR‑137 significantly reduced the VKORC1 3'UTR luciferase activity, while the luciferase activity of mutant VKORC1 3'UTR was similar to the scramble control. According to the result of the luciferase reporter assay, we found that miR‑137 SNP with the presence of the A allele apparently reduced the luciferase activity. Using real‑time PCR, we revealed that miR‑137 negatively regulated the expression of VKORC1 in a concentration‑dependent manner in liver cells. Furthermore, no difference was noted regarding the warfarin maintenance dose between the different age or gender groups, and furthermore AC + AA carriers showed a markedly higher warfarin maintenance dose than CC carriers. These findings collectively provide support that VKORC1 is a direct target of miR‑137 and the miR‑137 rs2660304 polymorphism is associated with warfarin maintenance dose in patients with atrial fibrillation. The rs2660304 polymorphism is a potential biomarker for predicting the clinical efficacy of warfarin in these patients.

Genotype distributions of CYP2C9 and VKORC1 in southern Thais and their association with warfarin maintenance dose in patients with cardiac surgery

Background: Pharmacodynamics of warfarin are influenced by genetic polymorphisms of its metabolic enzymes. Objectives: To determine CYP2C9 and VKORC1 genotypes in a population in southern Thailand, and their association with warfarin maintenance doses. Methods: We genotyped CYP2C9*2 (rs1799853), CYP2C9*3 (rs1057910), VKORC1 (rs9923231 and rs9934438) from the blood DNA of 210 healthy controls, and determined the association of 2 polymorphic markers (CYP2C9*3 and rs9923231) in 154 patients with aortic valve protheses, with warfarin maintenance dose and coagulopathy. Results: CYP2C9*3 was detected in 17/210 controls; all were heterozygous variants (-*1*3). No CYP2C9*2 polymorphisms were detected. The 2 VKORC1 polymorphisms were in complete linkage disequilibrium. The genotype distribution of VKORC1 (rs9923231) was 118:72:20 for AA:AG:GG. The warfarin maintenance dose in patients with CYP2C9*1*3 (20.7 mg/week) was significantly less than in patients with CYP2C9*1*1 (31.7 mg/ week; P (AA:AG:GG; 23.8:35.3:47.3 mg/week). The incidence of prolonged prothrombin time (INR > 5) was significantly higher in the VKORC1-AA group (45/76) than the AG (22/64) or GG (3/16) groups. The median time to achieve a stable INR was highest for patients with a GG genotype (342 days) compared with 20 days for those with AA, and 160 days for those with AG. Other factors associated with warfarin maintenance dose were body surface area, age (>45 years), and concomitant drug use. Conclusion: Polymorphisms of CYP2C9*3 and VKORC1 are present in southern Thais. We recommend pharmacogenetic studies of these markers as a component of warfarin therapy. Keywords: Pharmacogenetics, Thai patients, warfarin

Effects of VKORC1 Genetic Polymorphisms on Warfarin Maintenance Dose Requirement in a Chinese Han Population.

BackgroundVKORC1 is reported to be capable of treating several diseases with thrombotic risk, such as cardiac valve replacement. Some single-nucleotide polymorphisms (SNPs) in VKORC1 are documented to be associated with clinical differences in warfarin maintenance dose. This study explored the correlations of VKORC1–1639 G/A, 1173 C/T and 497 T/G genetic polymorphisms with warfarin maintenance dose requirement in patients undergoing cardiac valve replacement.Material/MethodsA total of 298 patients undergoing cardiac valve replacement were recruited. During follow-up, clinical data were recorded. Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method was applied to detect VKORC1–1639 G/A, 1173 C/T and 497 T/G polymorphisms, and genotypes were analyzed.ResultsCorrelations between warfarin maintenance dose and baseline characteristics revealed statistical significances of age, gender and operation methods with warfarin maintenance dose (all P<0.05). Warfarin maintenance dose in VKORC1–1639 G/A AG + GG carriers was obviously higher than in AA carriers (P<0.001). As compared with patients with TT genotype in VKORC1 1173 C/T, warfarin maintenance dose was apparently higher in patients with CT genotype (P<0.001). Linear regression analysis revealed that gender, operation method, method for heart valve replacement, as well as VKORC1–1639 G/A and 1173 C/T gene polymorphisms were significantly related to warfarin maintenance dose (all P<0.05).ConclusionsVKORC1 gene polymorphisms are key genetic factors to affect individual differences in warfarin maintenance dose in patients undergoing cardiac valve replacement; meanwhile, gender, operation method and method for heart valve replacement might also be correlate with warfarin maintenance dose.

Prediction of Warfarin Maintenance Dose in Han Chinese Patients Using a Mechanistic Model Based on Genetic and Non-Genetic Factors

Many attempts have been made to predict the warfarin maintenance dose in patients beginning warfarin therapy using a descriptive model based on multiple linear regression. Here we report the first attempt to develop a comprehensive mechanistic model integrating in vitro-in vivo extrapolation (IVIVE) with a pharmacokinetic-pharmacodynamic model to predict the warfarin maintenance dose in Han Chinese patients. The model incorporates demographic factors [sex, age, body weight (BW)] and the genetic polymorphisms of cytochrome P450 (CYP) 2C9 (CYP2C9) and vitamin K epoxide reductase complex subunit 1 (VKORC1). Information on the various factors, mean warfarin daily dose and International Normalized Ratio (INR) was available for a cohort of 197 Han Chinese patients. Based on in vitro enzyme kinetic parameters for S-warfarin metabolism, demographic data for Han Chinese and some scaling factors, the S-warfarin clearance (CL) was predicted for patients in the cohort with different CYP2C9 genotypes using IVIVE. The plasma concentration of S-warfarin after a single oral dose was simulated using a one-compartment pharmacokinetic model with first-order absorption and a lag time and was combined with a mechanistic coagulation model to simulate the INR response. The warfarin maintenance dose was then predicted based on the demographic data and genotypes of CYP2C9 and VKORC1 for each patient and using the observed steady-state INR (INRss) as a target value. Finally, sensitivity analysis was carried out to determine which factor(s) affect the warfarin maintenance dose most strongly. The predictive performance of this mechanistic model is not inferior to that of our previous descriptive model. There were significant differences in the mean warfarin daily dose in patients with different CYP2C9 and VKORC1 genotypes. Using IVIVE, the predicted mean CL of S-warfarin for patients with CYP2C9*1/*3 (0.092l/h, n=11) was 57% less than for those with wild-type *1/*1 (0.215l/h, n=186). In addition, *1/*1 patients needed about 1 week to reach steady state, whereas *1/*3 patients needed about 2 weeks. In terms of the predicted INRss values, only ten patients had INRss values outside the expected therapeutic range (1.5-2.8). To evaluate our mechanistic model, we predicted the warfarin maintenance dose for 183 patients and explained 42% of its variation, which is comparable to our previous prediction using a descriptive model based on multiple linear regression. The mean predicted/observed warfarin doses (mg/day) for different combinations of CYP2C9 and VKORC1 genotypes were 1.54/3.75 (n=1) for *1/*1 and GG, 3.33/3.66 (n=36) for *1/*1 and AG, 2.31/2.41 (n=136) for *1/*1 and AA, and 1.56/1.69 (n=10) for *1/*3 and AA, respectively. Sensitivity analysis indicated BW and genetic polymorphisms of CYP2C9 and VKORC1 were important factors affecting the warfarin maintenance dose in the study population. The mechanistic model reported is the first to integrate IVIVE with a pharmacokinetic-pharmacodynamic model to describe the association of the warfarin maintenance dose with sex, age, BW and the genotypes of CYP2C9 and VKORC1. The model was effective in predicting S-warfarin clearance and in simulating its plasma concentration-time curve in a cohort of Han Chinese patients. In addition, the model accurately predicted the INR response and warfarin maintenance dose in a cohort of Han Chinese patients.

Genetic Variation of VKORC1 and CYP4F2 Genes Related to Warfarin Maintenance Dose in Patients with Myocardial Infarction

The aim of this study was to investigate whether the VKORC1*3 (rs7294/9041 G > A), VKORC1*4 (rs17708472/6009 C > T), and CYP4F2 (rs2108622/1347 C > T) polymorphisms were associated with elevated warfarin maintenance dose requirements in patients with myocardial infarction (n = 105) from the Warfarin Aspirin Reinfarction Study (WARIS-II). We found significant associations between elevated warfarin dose requirements and VKORC1*3 and VKORC1*4 polymorphisms (P = .001 and P = .004, resp.), whereas CYP4F2 (1347 C > T) showed a weak association on higher warfarin dose requirements (P = .09). However, analysing these variant alleles in a regression analysis together with our previously reported data on VKORC1*2, CYP2C9*2 and CYP2C9*3 polymorphisms, gave no significant associations for neither VKORC1*3, VKORC1*4 nor CYP4F2 (1347 C > T). In conclusion, in patients with myocardial infarction, the individual contribution to warfarin dose requirements from VKORC1*3, VKORC1*4, and CYP4F2 (1347 C > T) polymorphisms was negligible. Our results indicate that pharmacogenetic testing for VKORC1*2, CYP2C9*2 and CYP2C9*3 is more informative regarding warfarin dose requirements than testing for VKORC1*3, VKORC1*4, and CYP4F2 (1347 C > T) polymorphisms.

Predicting warfarin maintenance dose in patients with venous thromboembolism based on the response to a standardized warfarin initiation nomogram.

Polymorphisms in the VKORC1 and CYP2C9 genes influence warfarin requirements. It has been suggested that dosing algorithms incorporating them might outperform usual care. Standardized warfarin initiation nomograms are safe and effective and patients' responses to them could be used to predict warfarin requirements without the need for genetic testing. To develop a model to predict warfarin dose requirements based on the response to a standard nomogram without using genetic testing. We included 363 outpatients with acute venous thromboembolism who were started on treatment using a standardized warfarin nomogram and achieved a stable maintenance warfarin dose defined as a dose prescribed twice consecutively after two consecutive INR measurements between 2.0 and 3.0. Linear regression was used to derive equations predicting the maintenance dose and models were validated using non-parametric bootstrapping and tested in an independent cohort. Three models were constructed for patients completing the nomogram until day 3 (warfarin dose (mg week(-1)) = Exp [2.737 + 1.896(INR(3)(-1))-0.008(Age)]; R2adj = 0.462), day 5 (warfarin dose (mg week(-1)) = Exp[2.261 + 2.412(INR(3)(-1)) -0.285(DeltaINR(5-3))]; R2adj = 0.603) and day 8 (warfarin dose (mg week(-1)) = Exp[1.574 + 1.788(INR(8)(-1)) + 0.024(cumulated warfarin dose until nomogram day 7)]; R2adj = 0.643), where Exp is the exponential function; INR3 and INR8 are the INR on days 3 or 8 of the nomogram, and DeltaINR(5-3) is the difference in the INR on days 5 and 3. All models were internally and externally validated and were accurate to within 25% of the actual dose in >60% of patients. Maintenance warfarin dose can be accurately predicted using individual response to a standard warfarin initiation nomogram without the need for costly genetic testing.