Genetic variations of phenprocoumon metabolism in patients with ventricular assist devices.

OBJECTIVES: Anticoagulation in patients with ventricular assist device (VAD) support is crucial and to date, no alternative to vitamin K antagonists (VKAs) can be safely used. Genetic variances of cytochrome p450 2C9 (CYP2C9) and vitamin K epoxide reductase (VKORC) have been recently connected with variation of VKA maintenance as well as loading doses. In this retrospective study, we assessed the incidence of genetic variations and the influence of different genotypes of CYP2C9 and VKORC1 in VAD patients. METHODS: A total of 161 patients received a VAD implant in our institution between January 2006 and July 2014. Of these, 63 consented to genetic analysis and completed an interview with standardized questions on phenprocoumon (PC) dosage, international normalized ratio and anticoagulation-related complications. Determination of VKORC (-1639 G > A; -1173 C > T) and of CYP2C9 (*2, 430 C > T; *3, 1075 A > C) polymorphisms was performed by polymerase chain reaction and restriction analysis. RESULTS: The most common VKORC-1639 allele combination was wild-type GG (41%) followed by GA (32%) and AA (27%). Patients with VKORC1 polymorphisms AA and GA needed less PC in the maintenance phase of anticoagulation (P < 0.001) compared with wild-type GG patients. In contrast, CYP2C9 polymorphisms showed no effect on PC doses. Similar findings were observed in the initiation phase of PC therapy. High complications rates under PC therapy were observed particularly at the beginning. CONCLUSIONS: VKORC polymorphism affects PC dosage in the initiation as well as the maintenance phase. High rates of bleeding complications and thromboembolic events were found at the beginning of PC therapy in VAD patients. Therefore, a genotype-guided dosage algorithm might be useful in VAD patients.

PPARA gene and phenprocoumon: a new predictor of response variability.

Phenprocoumon is an anticoagulant used for thromboembolic disorder prophylaxis metabolized mainly by CYP3A4. However, polymorphisms in this gene did not explain the observed variability. PPARA (peroxisome proliferator-activated receptor-α) is a nuclear receptor that, among others, influences CYP3A4 gene expression. The aim of this study was to determine whether PPARA gene polymorphisms and the CYP3A4*22 allele are associated with phenprocoumon dose variability. A total of 198 patients on a stable dose of phenprocoumon were included in the study. Genotyping was performed by allele discrimination using standardized TaqMan assays. Differences between the average phenprocoumon dose and genotypes/haplotypes were assessed by analysis of variance and multiple linear regression analyses. Patients with the PPARA rs4253728A allele needed higher phenprocoumon doses. However, the effect size (3%) of this association was small. The CYP3A4*22 allele was not associated with the dose of phenprocoumon. As this is the first report of an association between PPARA gene polymorphisms and phenprocoumon dose, future studies are warranted to confirm these results.

[Perioperative management of anticoagulation]. / Perioperatives Gerinnungsmanagement bei oraler Antikoagulation.

BACKGROUND: The aim of the perioperative management of anticoagulation in patients with long-term oral anticoagulation is to minimize bleeding complications of surgical interventions. OBJECTIVES: We aimed to give a summary of current data and to give practical recommendations for colleagues practicing surgery. MATERIAL AND METHODS: This article gives a narrative overview of available data from 31 publications between 2000 and 2013. RESULTS: Every perioperative decision on whether to continue oral anticoagulation is preceded by an assessment of the risk of bleeding and embolism. In cases with a low risk of bleeding, oral anticoagulation can usually be continued. In contrast, for larger interventions with a moderate to high risk of bleeding, a discontinuation of phenprocoumon with temporary bridging is required. In this case it is common practice to discontinue phenprocoumon 7-9 days preoperatively and administer heparin mostly in the form of low molecular weight heparin (LMWH) depending on the international normalized ratio (INR). In contrast perioperative management of direct oral anticoagulants (DOAC) is discussed controversially. Based on the pharmacokinetics of the DAOC, the recommendations are to minimize the anticoagulation-free interval to 2-4 half-lives (HWZ) preoperatively (1-5 days) and early postoperative restart. In this case no bridging is necessary. On the other hand, an early interruption of DOAC 5 days prior to surgery to a minimum of 2 days postoperatively is favored by some surgeons to assure an adequate perioperative hemostasis. Depending on the risk of thromboembolism, bridging is required. These recommendations are justified by limited clinical experience and the absence of antagonism. CONCLUSION: The perioperative management of coagulation is still a challenge. While there are consolidated decision aids for phenprocoumon, the approach under DOAC treatment is still controversial due to limited data.

Pharmacogenetic-guided dosing of coumarin anticoagulants: algorithms for warfarin, acenocoumarol and phenprocoumon.

Coumarin derivatives, such as warfarin, acenocoumarol and phenprocoumon are frequently prescribed oral anticoagulants to treat and prevent thromboembolism. Because there is a large inter-individual and intra-individual variability in dose-response and a small therapeutic window, treatment with coumarin derivatives is challenging. Certain polymorphisms in CYP2C9 and VKORC1 are associated with lower dose requirements and a higher risk of bleeding. In this review we describe the use of different coumarin derivatives, pharmacokinetic characteristics of these drugs and differences amongst the coumarins. We also describe the current clinical challenges and the role of pharmacogenetic factors. These genetic factors are used to develop dosing algorithms and can be used to predict the right coumarin dose. The effectiveness of this new dosing strategy is currently being investigated in clinical trials.

[Gastrointestinal bleeding in cardiological patients]. / Gastrointestinale Blutungen beim kardiologischen Patienten.

Oral anticoagulation and antiplatelet therapy are risk factors for gastrointestinal (GI) bleeding. GI bleeding-especially lower GI bleeding-seems to be associated with a poorer outcome. With the introduction of dabigatrane and rivaroxaban, difficulties in the management of bleeding complications arose. Thus, the goal of the authors was to establish a standard operating procedure (SOP) for the treatment of severe GI bleeding associated with rivaroxaban, dabigatrane, and antiplatelet therapy. Bleeding complications during phenprocoumon treatment should be treated with prothrombin complex concentrates and vitamin K1. Dabigatrane elimination is highly dependent to the renal function. The measurement of drug concentrations of dabigatrane and rivaroxaban is useful to indicate an increased risk of bleeding complications. Severe bleeding associated with dabigatrane or rivaroxaban therapy should trigger prothrombin complex therapy, whereby in cases with severe bleeding associated with antiplatelet therapy platelet transfusion should be initiated. Low-dose aspirin should be continued after 24 h.

Quantifying the effect of covariates on concentrations and effects of steady-state phenprocoumon using a population pharmacokinetic/pharmacodynamic model.

BACKGROUND AND OBJECTIVES: The oral anticoagulant phenprocoumon, similar to other vitamin K antagonists, is characterized by pronounced interindividual variability in the doses needed to achieve the desired therapeutic effect. Previous studies assessed the effect of genetic and demographic covariates on empirical dose requirements of phenprocoumon to enable individualized dose prediction. The aim of the present study was to quantify major sources of interindividual variability separately on the pharmacokinetics and pharmacodynamics of phenprocoumon using a population pharmacokinetic-pharmacodynamic model. METHODS: A single steady-state blood sample was collected from 278 patients and assayed by liquid chromatography-tandem mass spectrometry for phenprocoumon and its metabolites. Genotyping was performed for variants of the cytochrome P450 (CYP) 2C9 (CYP2C9) and vitamin K epoxide reductase complex, subunit 1 (VKORC1) genes. Effects were quantified by international normalized ratio (INR). Data were analyzed simultaneously using NONMEM VII. RESULTS: The model confirmed CYP2C9 and VKORC1 variants as the major predictors of variability in phenprocoumon concentrations and effects, together with body weight, age, comedication with CYP3A modifiers (i.e. inhibitors or inducers) and presence of atrial fibrillation. These covariates explained 50.0 % of the observed variability in the model parameters. Phenprocoumon clearance fractions mediated per CYP2C9 allele were 13.4, 9.5 and 5.7 mL/h for the 1, 2 and 3 variants, respectively. An additional clearance fraction of 5.3 mL/h was independent of CYP2C9 activity. Homozygous VKORC1 wild-type carriers were estimated to have a 2.13-fold higher phenprocoumon exposure requirement than homozygous 1173 C>T carriers to achieve the same effect on INR. CONCLUSIONS: The model provides a deeper insight in the separate pharmacokinetic and pharmacodynamic parts of phenprocoumon action. Thus, it provides important information for individualized dose prediction, with the option to include further covariates not studied here with known effects on individual pharmacokinetic or pharmacodynamic processes.

Mechanical heart valve recipients: anticoagulation in patients with genetic variations of phenprocoumon metabolism.

OBJECTIVES: Oral anticoagulation in mechanical heart valve recipients remains crucial, and vitamin K antagonists (VKA) are still the gold standard. Polymorphisms of vitamin K epoxide oxidase reductase (VKORC) and cytochrome p450 (CYP2C9) were recently found to influence VKA metabolism. We retrospectively investigated the prevalence of these genotypes and associated anticoagulation-related complications in our patients. METHODS: Between August 1998 and August 2008, 563 patients received mechanical heart valve replacement in our institution. Of these, 179 completed a questionnaire on anticoagulation-related complications and consented to genetic analysis. We analysed polymorphisms of VKORC (-1639 G>A; 1173 C>T) and of CYP2C9 (*2, 144 C>T; *3, 359 A>C) by PCR and restriction analysis. RESULTS: For VKORC-1639/1173 alleles, there were 62 (35%) patients with the combination GG/CC, 91 (51%) with GA/CT, 25 (14%) with AA/TT and 1 (1%) with AA/CT. Phenprocoumon (PC) dosage was related to VKORC polymorphism (P < 0.001) with lower doses required for AA/TT patients. Overall, there were 27 severe bleedings and 11 thromboembolic events. For GG/CC, the incidence of major bleeding events and thromboembolic events was 13 and 6%, respectively, and for AA/TT, it was 27 and 12%, respectively. Variation in international normalized ratio (INR) >1.5 was associated with severe bleeding complications (P = 0.025) and GA/CT patients were predisposed to INR variations >1.5 (P = 0.028). No influence of CYP2C9 polymorphism on PC dosage and anticoagulation-related complications was found. CONCLUSIONS: VKORC polymorphism affects PC dosage and anticoagulation-related complication rates in mechanical heart valve recipients. Genotyping may help to identify patients at particular risk of anticoagulation-related complications.

Prediction of phenprocoumon maintenance dose and phenprocoumon plasma concentration by genetic and non-genetic parameters.

PURPOSE: The anticoagulation response to vitamin K antagonists is characterised by high inter-individual variability. The impact of single nucleotide polymorphisms (SNPs) in several genes of enzymes involved in the vitamin K cycle on phenprocoumon dose variability and phenprocoumon plasma concentrations is still under investigation. METHODS: We assessed the influence of VKORC1 c.-1639G>A, CYP2C9*2, CYP2C9*3, CYP4F2 c.1297G>A, CALU c.*4A>G, EPHX1 c.337T>C, GGCX c.214+597G>A, F7 c.-402G>A, F7 c.-401G>T, PROC c.-228C>T and PROC c.-215G>A along with clinical and demographic parameters on steady-state phenprocoumon therapy in 75 patients. A prediction model was developed for total phenprocoumon plasma concentrations and daily phenprocoumon doses required for therapeutic anticoagulation. RESULTS: The VKORC1 c.-1639 genotype was the main predictor of the phenprocoumon daily dose (adjusted R(2) = 37.6%) and the total phenprocoumon concentration (adjusted R(2) = 38.3%). CYP2C9 affected the phenprocoumon concentration, but not the dose requirements. SNPs in the other genes of the vitamin K cycle, concomitant medication, nicotine use and alcohol consumption did not predict phenprocoumon concentrations and phenprocoumon dose requirements in a multiple linear regression model. Phenprocoumon concentrations were predicted by VKORC1 c.-1639, CYP2C9 genotype, age and BMI. The final prediction model for the daily phenprocoumon dose requirements comprised VKORC1 c.-1639 genotype, age and height accounting for 48.6% of the inter-individual variability. CONCLUSIONS: A rough prediction of phenprocoumon maintenance doses can be achieved by a limited set of parameters (VKORC1, age, height). The investigated SNPs in CYP4F2, CALU, EPHX1, GGCX, F7, and PROC did not improve the predictive value of a pharmacogenetic-based dosing equation for phenprocoumon.

VKORC1 -1639G>A and CYP2C9*3 are the major genetic predictors of phenprocoumon dose requirement.

PURPOSE: Phenprocoumon, similar to other coumarin-derived anticoagulants, is associated with a large variation in the individual dose requirement to achieve stable anticoagulation. Polymorphisms in the vitamin K epoxide reductase complex subunit 1 (VKORC1) and the liver enzyme cytochrome P450 2C9 (CYP2C9) effectively account for the variability in warfarin and acenocoumarol response but are less well-defined pharmacogenetic predictors in phenprocoumon therapy. METHODS: A retrospective study was performed on 185 outpatients attending anticoagulation clinics in Austria and Germany. These patients were genotyped for the VKORC1 -1639G>A and 3730G>A polymorphisms as well as for the CYP2C9 *2 and *3 polymorphisms using a reverse hybridisation-based teststrip assay. RESULTS: The VKORC1 -1639A allele, which was present at a frequency of 41.4% in the study cohort, significantly reduced the mean weekly phenprocoumon dose by 3 mg (19%) in the heterozygous and by 6.7 mg (43%) in the homozygous state compared to wild-type carriers (15.5 +/- 6.8 mg, p < 0.0001). A stepwise multiple regression analysis revealed that VKORC1 -1639G>A, age and CYP2C9*3 were the major independent determinants of phenprocoumon dose, accounting for 14.2, 9.1 and 4.7% of its variability, respectively (p A genotype had no additional predictive power for individual dose variability. CONCLUSION: Similar to warfarin and acenocoumarol, the VKORC1 -1639G>A polymorphism had the highest impact on the maintenance dose of phenprocoumon. The factor age was the second most important predictor and explained a greater percentage of the variability than CYP2C9 genotype.

[Pharmacogenomics in routine medical care]. / Pharmakogenomik in der Praxis.

Pharmacogenomics investigates inherited differences in drug responses including beneficial and adverse reactions. While a considerable amount of evidence for genetic influences on drug responses has been accumulated within the last decade, predominantly in small studies, its value in routine therapy is still a matter of debate. The aim of this review is to discuss well established examples where pharmacogenomic techniques can improve routine treatment. Examples include genotyping of CYP2D6 in the context of antidepressant therapy, analysis of TPMT variants for the prediction of mercaptopurine-induced bone marrow depression, VKORC1 and CYP2C9 analyses for a better control of anticoagulant administration and the SLCO1B1 variant in the context of statin-induced myopathies.

Genetic determinants of acenocoumarol and phenprocoumon maintenance dose requirements.

OBJECTIVE: The variability in warfarin dose requirement is attributable to genetic and environmental factors. Acenocoumarol (AC) and phenprocoumon (PC) are coumarin derivates widely prescribed in European countries for the prevention and treatment of thromboembolic events. The aim of our study was to investigate the contribution of genes involved in the vitamin K cycle to AC and PC maintenance doses. METHODS: Common single nucleotide polymorphisms (SNPs) in the genes encoding cytochrome P450 family member 2C9 (CYP2C9), vitamin K epoxide reductase complex subunit 1 (VKORC1), gamma-glutamyl carboxylase (GGCX), calumenin (CALU) and apolipoprotein E (APOE) were studied in 206 patients receiving AC or PC. RESULTS: Compared to patients with the VKORC1 C1173C genotype, maintenance doses for AC or PC were reduced to 74.6 or 70.2% in heterozygous C1173T subjects and to 48.6 or 48.1% in homozygous T1173T subjects (P < 0.0001). Furthermore maintenance doses for AC and PC were significantly lower in heterozygous CYP2C9*1*3, CYP2C9*2*3, and in CYP2C9*3*3 homozygote individuals compared to homozygous CYP2C9*1*1 subjects (P = 0.0004 and P = 0.0017, respectively). A multiple regression model including age, sex, last INR, VKORC1, and CYP2C9 genotypes explained ~50% of the variability in AC/PC dose requirements. CALU genotype combinations showed minor effects on PC dose requirements. No associations with AC or PC dose requirements were observed for sequence substitutions in the GGCX or APOE genes. CONCLUSION: These results reveal that interindividual variability in weekly AC and PC maintenance dose requirement is mainly dependent on the VKORC1 1173C>T and the CYP2C9*3 alleles. VKORC1 and CYP2C9 genotyping might provide helpful information to prevent serious bleeding events in subjects receiving AC or PC.

Pharmacogenetic characteristics of patients with complicated phenprocoumon dosing.

PURPOSE: Anticoagulation therapy with coumarins necessitates a strict individualization of dosing. Whereas the impacts of the cytochrome P450 2C9 (CYP2C9) and vitamin K epoxide reductase (VKORC1) polymorphisms on warfarin dosing are clearly established, the role of these genetic variants on dosing and the safe use of phenprocoumon are less well investigated and, to a certain degree, controversial. METHODS: We studied the most frequent functional polymorphisms of VKORC1, CYP2C9, and CYP3A5 in 60 consecutive patients demonstrating complicated phenprocoumon-mediated anticoagulation and in 120 controls. RESULTS: The frequencies of the less active VKORC1 haplotype A-group alleles (p < 0.0001) and of CYP2C9 genotypes with two variant alleles (p = 0.035) were higher in the patient cohort than in the control group, while the frequency of patients carrying only one variant CYP2C9 allele was unchanged relative to the control subjects (RR 1.2; p = 0.49). CONCLUSION: The data suggest a fundamental role of VKORC1 haplotypes and a minor role of CYP2C9 variants in the anticoagulation property of phenprocoumon.

Evidence for a pharmacogenetic adapted dose of oral anticoagulant in routine medical practice.

Oral anticoagulants (OA) are a leading cause of fatal haemorrhagic adverse events in relation with an important interindividual variability of response to these drugs. Besides several clinical factors, this interindividual variability of response to OA has a pharmacogenetic basis. Carriers of cytochrome P450 2C9 (CYP2C9)-deficient alleles have a reduced clearance of warfarin and are exposed to dramatic overdoses in the first weeks of treatment. Genetic polymorphisms of vitamin K epoxide reductase (VKORC1), the target of OA, identify patients with a high sensitivity to OA who are at risk of early overdose. Most pharmacogenetic evidence is presently restricted to warfarin. Several warfarin dosing algorithms have been constructed, adapted on CYP2C9 and VKORC1 genotypes and clinical factors, to predict the best dose for each patient. Carriers of one of allelic variant need a 20-30% reduction of warfarin dose. However, definite evidence concerning the usefulness of these algorithms in terms of reducing the frequency of major bleeding episodes is still lacking. Ongoing prospective randomised trials will ascertain definitive answer over the coming years.

Pharmacogenetics of oral anticoagulants: a basis for dose individualization.

Coumarin derivatives, including warfarin, acenocoumarol and phenprocoumon, are the drugs of choice for long-term treatment and prevention of thromboembolic events. The management of oral anticoagulation is challenging because of a large variability in the dose-response relationship, which is in part caused by genetic polymorphisms. The narrow therapeutic range may result in bleeding complications or recurrent thrombosis, especially during the initial phase of treatment. The aim of this review is to systematically extract the published data reporting pharmacogenetic influences on oral anticoagulant therapy and to provide empirical doses for individual genotype combinations. To this end, we extracted all data from clinical studies of warfarin, phenprocoumon and acenocoumarol that reported genetic influences on either the dose demand or adverse drug effects, such as bleeding complications. Data were summarized for each substance, and the relative effect of each relevant gene was calculated across studies, assuming a linear gene-dose effect in Caucasians. Cytochrome P450 (CYP) 2C9, which is the main enzyme for rate-limiting metabolism of oral anticoagulants, had the largest impact on the dose demand. Compared with homozygous carriers of CYP2C9*1, patients homozygous for CYP2C9*3 were estimated to need 3.3-fold lower mean doses of warfarin to achieve the same international normalized ratio, with *2 carriers and heterozygous patients in between. Differences for acenocoumarol and phenprocoumon were 2.5-fold and 1.5-fold, respectively. Homozygosity of the vitamin K epoxide reductase complex subunit 1 (VKORC1) variant C1173T (*2) allele (VKORC1 is the molecular target of anticoagulant action) was related to 2.4-fold, 1.6-fold and 1.9-fold lower dose requirements compared with the wild-type for warfarin, acenocoumarol and phenprocoumon, respectively. Compared with CYP2C9 and VKORC1 homozygous wild-type individuals, patients with polymorphisms in these genes also more often experience severe overanticoagulation. An empirical dose table, which may be useful as a basis for dose individualization, is presented for the combined CYP2C9/VKORC1 genotypes. Genetic polymorphism in further enzymes and structures involved in the effect of anticoagulants such as gamma-glutamylcarboxylase, glutathione S-transferase A1, microsomal epoxide hydrolase and apolipoprotein E appear to be of negligible importance.Despite the clear effects of CYP2C9 and VKORC1 variants, these polymorphisms explain less than half of the interindividual variability in the dose response to oral anticoagulants. Thus, while individuals at the extremes of the dose requirements are likely to benefit, the overall clinical merits of a genotype-adapted anticoagulant treatment regimen in the entire patient populations remain to be determined in further prospective clinical studies.

Pharmacogenetic differences between warfarin, acenocoumarol and phenprocoumon.

Coumarin oral anticoagulant drugs have proven to be effective for the prevention of thromboembolic events. World-wide, warfarin is the most prescribed drug. In Europe, acenocoumarol and phenprocoumon are also administered. Yet it has been proven that variant alleles of the VKORC1 and CYP2C9 genotypes influence the pharmacokinetics and pharmacodynamics of these drugs. The combination of these two variant genotypes is a major cause of the inter-individual differences in coumarin anticoagulant drug dosage. Individuals who test positive for both variant genotypes are at increased risk of major bleeding. The impact of the CYP2C9 and VKORC1 genotype is most significant during the initial period of coumarin anticoagulant therapy. The effect of VKORC1 allelic variants is relatively similar for all three VKAs. The CYP2C9 polymorphism is associated with delayed stabilisation for coumarin anticoagulants. The effects of CYP2C9 polymorphisms on the pharmacokinetics and anticoagulant response are least pronounced in the case of phenprocoumon. In the long term, patients using phenprocoumon have more often international normalised ratio (INR) values in the therapeutic range, requiring fewer monitoring visits. This leads us to conclude that in the absence of pharmacogenetic testing, phenprocoumon seems preferable for use in long-term therapeutic anticoagulation. Pharmacogenetic testing before initiating coumarin oral anticoagulants may add to the safety of all coumarin anticoagulants especially in the elderly receiving multiple drugs.

VKORC1 and CYP2C9 genotypes and phenprocoumon anticoagulation status: interaction between both genotypes affects dose requirement.

In a prospective follow-up study of the effects of VKORC1 and CYP2C9 genotypes on the anticoagulation status of patients, we assessed the CYP2C9 and the VKORC1 C1173T genotypes of patients during the initial 6 months of phenprocoumon treatment. We used linear regression models and Cox proportional hazard models to determine the effects of the VKORC1 and CYP2C9 genotypes on phenprocoumon dose requirements, overanticoagulation, and time to achieve stability. Allele frequencies of interest within the cohort (N=281) were 40.8% VKORC1 T-1173, 12.8% CYP2C9*2, and 6.9% CYP2C9*3. In patients with the VKORC1 CC genotype, carriers of a CYP2C9 polymorphism needed dosages that were nearly 30% lower than those for CYP2C9*1/*1 patients (P<0.001). In patients with a VKORC1 polymorphism, differences between carriers of a CYP2C9 polymorphism and CYP2C9*1/*1 were far smaller and largely not statistically significant. A larger part of the variability in dose requirement was explained by the VKORC1 genotype than by the CYP2C9 genotype (28.7% and 7.2%, respectively). Carriers of a combination of a CYP2C9 polymorphism and a VKORC1 polymorphism had a strongly increased risk of severe overanticoagulation (hazard ratio (HR) 7.20, P=0.002). Only carriers of a CYP2C9*2 allele had a decreased chance to achieve stability compared to CYP2C9*1/*1 patients (HR 0.61, P=0.004). In conclusion, the VKORC1 genotype modifies the effect of the CYP2C9 genotype on phenprocoumon dose requirements. A combination of polymorphisms of both genotypes is associated with a strongly increased risk of overanticoagulation, whereas delayed stabilization is mainly associated with the CYP2C9 genotype.

Comparative pharmacokinetics of vitamin K antagonists: warfarin, phenprocoumon and acenocoumarol.

Vitamin K antagonists belong to the group of most frequently used drugs worldwide. They are used for long-term anticoagulation therapy, and exhibit their anticoagulant effect by inhibition of vitamin K epoxide reductase. Each drug exists in two different enantiomeric forms and is administered orally as a racemate. The use of vitamin K antagonists is complicated by a narrow therapeutic index and an unpredictable dose-response relationship, giving rise to frequent bleeding complications or insufficient anticoagulation. These large dose response variations are markedly influenced by pharmacokinetic aspects that are determined by genetic, environmental and possibly other yet unknown factors. Previous knowledge in this regard principally referred to warfarin. Cytochrome P450 (CYP) 2C9 has clearly been established as the predominant catalyst responsible for the metabolism of its more potent S-enantiomer. More recently, CYP2C9 has also been reported to catalyse the hydroxylation of phenprocoumon and acenocoumarol. However, the relative importance of CYP2C9 for the clearance of each anticoagulant substantially differs. Overall, the CYP2C9 isoenzyme appears to be most important for the clearance of warfarin, followed by acenocoumarol and, lastly, phenprocoumon. The less important role of CYP2C9 for the clearance of phenprocoumon is due to the involvement of CYP3A4 as an additional catalyst of phenprocoumon hydroxylation and significant excretion of unchanged drug in bile and urine, while the elimination of warfarin and acenocoumarol is almost completely by metabolism. Consequently, the effects of CYP2C9 polymorphisms on the pharmacokinetics and anticoagulant response are also least pronounced in the case of phenprocoumon; this drug seems preferable for therapeutic anticoagulation in poor metabolisers of CYP2C9. In addition to these vitamin K antagonists, oral thrombin inhibitors are currently under clinical development for the prevention and treatment of thromboembolism. Of these, ximelagatran has recently gained marketing authorisation in Europe. These novel drugs all feature some major advantages over traditional anticoagulants, including a wide therapeutic interval, the lack of anticoagulant effect monitoring and a low drug-drug interaction potential. However, they are also characterised by some pitfalls. Amendments of traditional anticoagulant therapy, including self-monitoring of international normalised ratio values or prospective genotyping for individual dose-tailoring may contribute to the continuous use of warfarin, phenprocoumon and acenocoumarol in the future.

A model-based algorithm for the monitoring of long-term anticoagulation therapy.

It has been shown that computerized algorithms for the prescription of coumarin derivates can improve the quality of long-term anticoagulation treatment. These algorithms are usually based on an empiric relationship between dosage and International Normalized Ratio and do not quantify the delaying effect of the drug's pharmacokinetics or the effect of alternating doses that are used to approximate a certain average dosage. Our objective was to develop a mathematical model that takes into account these effects and to develop a new algorithm based on this model that can be used to further optimize the quality of long-term anticoagulation treatment. We simplified a general model structure that was proposed by Holford in 1986 so that the parameters can be estimated using data that are available during long-term anticoagulation treatment. The constant parameters in the model were estimated separately for phenprocoumon and acenocoumarol using data from 1279 treatment courses from three different anticoagulation clinics in the Netherlands. The only variable parameter in the model is the sensitivity of the patient, which is estimated during the course of each treatment. A total of 194 dosage and appointment intervals that were proposed by the new algorithm were scored as 'good', 'acceptable', or 'bad' by two dosing experts. One hundred and seventy-eight (91.8%) proposals were considered good by at least one expert and bad by none. In 39 cases the experts disagreed. We believe that this algorithm will allow further improvement of anticoagulation treatments.