[Switching from acenocoumarol to phenprocoumon: step in personalised anticoagulation?] / Overstappen van acenocoumarol naar fenprocoumon.

Acenocoumarol and phenprocoumon are vitamin K antagonists (VKA) with average half-lives of 11 hours and 160 hours, respectively. They are used to treat and prevent thrombosis in mechanical cardiac valve replacement, atrial fibrillation and venous thromboembolism. There are historical regional differences in preferred VKA in the Netherlands. Safe and effective treatment requires the international normalized ratios (INRs) to be in the therapeutic range, and stable. Theoretically, the longer-acting phenprocoumon would yield a higher time in therapeutic range (TTR) and lower INR variability. In practice, switching from acenocoumarol to phenprocoumon eventually improves INR variability and in some patients TTR as well. However, during the preceding transition period, INRs are more often volatile and supratherapeutic. Furthermore, switching to an alternative VKA could weaken integrated care, as other healthcare providers are less experienced with it. Healthcare providers must coordinate an intended switch with the anticoagulation clinic.

Plasma clot formation and clot lysis to compare effects of different anticoagulation treatments on hemostasis in patients with atrial fibrillation.

The effect of direct oral anticoagulants (DOACs) on turbidimetric measurements of plasma clot formation and susceptibility to fibrinolysis may facilitate a comparison between different classes of anticoagulants in plasma samples. We obtained 424 citrate plasma samples from 226 atrial fibrillation patients on anticoagulation and 24 samples without anticoagulation serving as controls. As comparators, we measured the international normalized ratio (INR) for phenprocoumon samples (N = 166), anti-Xa for low molecular weight heparin (LMWH) samples (N = 42), and DOAC levels with mass spectrometry (dabigatran N = 40, rivaroxaban N = 110, apixaban N = 42). Plasma clot formation and lysis were recorded continuously on a photometer after addition of an activation mix (tissue factor 2 pmol/l and tissue plasminogen activator 333 ng/ml). We used linear regression and ANCOVA for correlation analysis. Clot formation lag phase was prolonged in the presence of anticoagulants in a concentration-dependent manner for DOACs (dabigatran Spearman r = 0.74; rivaroxaban r = 0.78; apixaban r = 0.72, all p < 0.0001), INR dependent for phenprocoumon (r = 0.59, p < 0.0001), anti-Xa level dependent in LMWH samples (r = 0.90, p < 0.0001). Maximum rate of clot formation and peak clot turbidity were reduced in the presence of anticoagulants, but correlated only moderately with the comparator measures of anticoagulation. The clot lysis time was inversely correlated with DOAC concentrations in the presence of recombinant thrombomodulin. A direct ex vivo comparison between the effects of different classes of anticoagulants is possible with turbidimetric measurement of plasma clot formation and lysis. Anticoagulation inhibited clot formation in a plasma concentration manner for DOACs, INR dependent for phenprocoumon, and anti-Xa dependent for LMWH. Susceptibility to fibrinolysis increased with increasing DOAC concentrations.

A combinatorial screen of the CLOUD uncovers a synergy targeting the androgen receptor.

Approved drugs are invaluable tools to study biochemical pathways, and further characterization of these compounds may lead to repurposing of single drugs or combinations. Here we describe a collection of 308 small molecules representing the diversity of structures and molecular targets of all FDA-approved chemical entities. The CeMM Library of Unique Drugs (CLOUD) covers prodrugs and active forms at pharmacologically relevant concentrations and is ideally suited for combinatorial studies. We screened pairwise combinations of CLOUD drugs for impairment of cancer cell viability and discovered a synergistic interaction between flutamide and phenprocoumon (PPC). The combination of these drugs modulates the stability of the androgen receptor (AR) and resensitizes AR-mutant prostate cancer cells to flutamide. Mechanistically, we show that the AR is a substrate for γ-carboxylation, a post-translational modification inhibited by PPC. Collectively, our data suggest that PPC could be repurposed to tackle resistance to antiandrogens in prostate cancer patients.

Statin use decreases coagulation in users of vitamin K antagonists.

PURPOSE: The purpose of the study is to determine the immediate and long-term effect of statins on coagulation in patients treated with vitamin K antagonists (VKAs). METHODS: We selected patients on VKAs of two Dutch anticoagulation clinics who initiated treatment with a statin between 2009 and 2013. Patients who initiated or stopped concomitant drugs that interact with VKAs or were hospitalised during follow-up were excluded. The VKA dosage (mg/day) after statin initiation was compared with the last VKA dosage before the statin was started. Immediate and long-term differences in VKA dosage (at 6 and 12 weeks) were calculated with a paired student t test. RESULTS: Four hundred thirty-five phenprocoumon users (mean age 70 years, 60 % men) and 303 acenocoumarol users (mean age 69 years, 58 % men) were included. After start of statin use, the immediate phenprocoumon dosage was 0.02 mg/day (95 % CI, 0.00 to 0.03) lower. At 6 and 12 weeks, these phenprocoumon dosages were 0.03 (95 % CI, 0.01 to 0.05) and 0.07 mg/day (95 % CI, 0.04 to 0.09) lower as compared with the dosage before first statin use. In acenocoumarol users, VKA dosage was 0.04 mg/day (95%CI, 0.01 to 0.07) (immediate effect), 0.10 (95 % CI, 0.03 to 0.16) (at 6 weeks), and 0.11 mg/day (95 % CI, 0.04 to 0.18) (after 12 weeks) lower. CONCLUSIONS: Initiation of statin treatment was associated with an immediate and long-term minor although statistically significant decrease in VKA dosage in both phenprocoumon and acenocoumarol users, which suggests that statins may have anticoagulant properties.

Pharmacoepidemiological assessment of drug interactions with vitamin K antagonists.

PURPOSE: We present a database of prescription drugs and international normalized ratio (INR) data and the applied methodology for its use to assess drug-drug interactions with vitamin K antagonists (VKAs). We use the putative interaction between VKAs and tramadol as a case study. METHODS: We used a self-controlled case series to estimate the incidence rate ratio (IRR) comparing the rate of INR measurements of ≥4.0 in concomitant tramadol and VKA-exposed periods to VKA-only-exposed periods. Secondary analyses considered specific subgroups, alternative exposure criteria, alternative outcome definitions, and other drugs. RESULTS: We identified 513 VKA users with at least 1 INR measurement ≥4.0 and concomitant tramadol and VKA exposure during the observation period. The overall IRR was 1.80 (95% confidence interval [CI], 1.53-2.10), with a stronger association among users of phenprocoumon compared to warfarin (IRR, 3.37; 95%CI, 2.50-4.53 and IRR, 1.46; 95%CI, 1.20-1.76, respectively). We observed larger IRRs with stricter outcome definitions. Concomitant tramadol and VKA exposure was also associated with an increased rate of low INR measurements (i.e., <1.5; IRR, 1.70; 95%CI, 1.37-2.13). Morphine and, to some extent, oxycodone, penicillin, beta-blockers, and inhaled beta-agonists were associated with high INR. CONCLUSIONS: The approach successfully identified an interaction between tramadol and VKA. However, associations observed for other drugs with no known VKA interaction suggest that the current approach may have too low specificity to be useful as a screening tool, at least for drugs for which time-varying confounding may be present.

Avaliação da estabilidade de anticoagulação entre a Varfarina e a Femprocumona / Oral anticoagulation stability assessment with Warfarin and Phenprocoumon

Fundamentos: A varfarina e a femprocumona são os anticoagulantes orais mais utilizados; no entanto, até então, não existem estudos randomizados comparando a estabilidade da anticoagulação entre estes dois fármacos. Objetivos: Comparar a varfarina e femprocumona quanto à estabilidade na manutenção de anticoagulação em nível terapêutico (razão normatizada internacional [RNI] entre 2,0 e 3,0) e avaliar a incidência de complicações hemorrágicas e tromboembólicas decorrentes de anticoagulação inadequada.Métodos: Ensaio clínico, randomizado, duplo-cego, incluindo pacientes em tratamento vigente com anticoagulante oral, porém com RNI abaixo do alvo terapêutico nas últimas três semanas, randomizados para uso de varfarina ou femprocumona. O ajuste da dose da medicação foi realizado conforme algoritmo pré-estabelecido. Resultados: Foram randomizados 62 pacientes, sendo 31 em cada grupo, durante as cinco primeiras semanas de estudo. Verificou-se que a femprocumona se mostrou mais instável comparada à varfarina. A partir da sexta aferição de RNI, o grupo femprocumona apresentou melhora na estabilidade do valor do RNI, porém não houve significância estatística. Também não houve diferença significativa em relação aos efeitos colaterais dos fármacos. Conclusão: A varfarina demonstrou maior eficácia na estabilidade do RNI em relação à femprocumona.

Background: Although warfarin and phenprocoumon are the most widely used oral anticoagulants, there a r e n o r a n d o m i z e d s t u d i e s c o m p a r i n g t h e anticoagulation stability of these two drugs.Objectives: To compare warfarin and phenprocoumon in terms of therapeutic anticoagulation maintenance stability (international normalized ratio [INR] between 2.0 and 3.0) and evaluate the incidence of thromboembolic and hemorrhagic complications arising from inadequate anticoagulation.Methods: Randomized double-blind clinical trial with patients undergoing current oral anticoagulant treatment but with INR below the therapeutic target during the past 3 weeks, randomized for warfarin or phenprocoumon. Medication dosages were adjusted in compliance with a predetermined algorithm.Results: With 62 patients randomized into two groups of 31 each during the first five weeks of the study, phenprocoumon was found to be more unstable than warfarin. From the sixth INR measurement onwards, the stability of the INR value improved in the phenprocoumon group, but with no statistical significance. There were no significant differences in the side effects of the drugs.Conclusion: Warfarin demonstrated greater effectiveness for INR stability than phenprocoumon.

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.

Secondary intracerebral hemorrhage due to early initiation of oral anticoagulation after ischemic stroke: an experimental study in mice.

BACKGROUND AND PURPOSE: The uncertain risk of secondary intracerebral hemorrhage (sICH) frequently keeps clinicians from initiating oral anticoagulation (OAC) early after ischemic cardioembolic stroke. The goal of this experimental study was to determine the risk of sICH depending on the timing of OAC initiation relative to stroke onset and to address the role of hematogenous macrophages for repair processes preventing OAC-associated sICH. METHODS: C57BL/6 mice were subjected to transient middle cerebral artery occlusion. Subgroups were treated with either the vitamin K antagonist (VKA) phenprocoumon or the direct thrombin inhibitor dabigatran etexilate. Hematogenous macrophages were depleted using intraperitoneal injections of clodronate-filled liposomes. RESULTS: Time to therapeutic OAC was 48 hours with VKA and 0.5 hours with dabigatran etexilate treatment. In VKA-treated mice, the risk of sICH was high if effective OAC was already present at stroke onset or achieved within 48 hours after ischemia. With more delayed OAC, the risk of sICH rapidly decreased. Compared with VKA treatment, effective anticoagulation with dabigatran etexilate was associated with a significantly reduced extent of sICH, either if present at stroke onset or if achieved 48 hours later. Partial depletion of macrophages greatly increased the extent of OAC-associated sICH in the subacute stage of 3 to 4 days after ischemia. CONCLUSIONS: Our findings suggest that repair mechanisms involving hematogenous macrophages rapidly decrease the risk of OAC-associated sICH in the first days after ischemic stroke. The lower risk of sICH under dabigatran etexilate compared with VKA treatment may facilitate early initiation of OAC after cardioembolic stroke.

Impact of pharmacokinetic (CYP2C9) and pharmacodynamic (VKORC1, F7, GGCX, CALU, EPHX1) gene variants on the initiation and maintenance phases of phenprocoumon therapy.

Compared to warfarin, little is known about the effect of pharmacogenomics on the inter-individual variability of phenprocoumon therapy. In a retrospective cohort study, we investigated the impact of VKORC1 c.-1639G>A; CYP2C9*2 , CYP2C9*3 ; GGCX c.214+597G>A; CALU c.*4A>G; EPHX1 c.337T>C; F7 c.-402G>A, and F7 c.-401G>T on the initiation (n=54) and maintenance phases (n=91) of phenprocoumon therapy. We assessed the following outcome parameters: time to stable international normalised ratio (INR), time to first supra-therapeutic INR, time out of INR range, probability of over-anticoagulation, number of anticoagulation clinic visits. During the initiation phase, homozygotes for the VKORC1 c.-1639 A and G alleles achieved stable INRs later (p<0.001), spent more time at supra-therapeutic INRs (p<0.001), had increased risks of over-anticoagulation (odds ratio 19.83, p=0.003 and 4.45, p=0.045, respectively), and had higher frequencies of anticoagulation clinic visits (p<0.001) compared to GA carriers. CYP2C9*2, *3 carriers reached stable INRs faster (p=0.024) with fewer anticoagulation clinic visits (p=0.001) than wild-type carriers. EPHX1 c.337 C carrier spent significantly more time above range in the initiation phase (p=0.023). GGCX , CALU , and F7 gene variants did not affect outcome parameters of the initiation phase and none of the genotypes had an impact on maintenance phase parameters. Compared to the VKORC1 genotype, early INR values were less informative in the prediction of outcome parameters such as time to stable INR and time above the INR range. Our study is limited by the retrospective study design with no standardised protocol in a usual care setting. Therefore, our findings should be validated in a larger, controlled prospective study.

Oral anticoagulation with coumarin derivatives and antiplatelet effects of clopidogrel.

AIMS: A relevant proportion of patients receiving aspirin and clopidogrel after percutaneous coronary intervention (PCI) also require oral anticoagulation with a coumarin derivative such as phenprocoumon. Both clopidogrel and phenprocoumon are metabolized by the hepatic cytochrome P450 system and a drug-drug interaction may exist at this level. The aim of this study was to investigate the impact of phenprocoumon on the antiplatelet effects of clopidogrel in patients with coronary artery disease. METHODS AND RESULTS: Patients (n = 1223) eligible for this study were under dual maintenance antiplatelet treatment with aspirin and clopidogrel. Adenosine diphosphate-induced platelet aggregation (in AU*min) was measured with multiple electrode platelet aggregometry on a Multiplate analyzer (Dynabyte, Munich, Germany). From the entire study population, 124 (10.1%) patients were under concomitant phenprocoumon treatment at the time point of platelet function testing. Platelet aggregation (median [interquartile range]) was significantly higher in patients with (n = 124) concomitant phenprocoumon treatment compared with patients without (n = 1099) phenprocoumon treatment (308 [190-493] AU*min vs. 224 [145-390] AU*min; P = 0.0001, adjusted P = 0.002). CONCLUSION: Phenprocoumon significantly attenuates the antiplatelet effects of clopidogrel. The impact of this interaction on the risk of thrombotic and bleeding events after PCI requires further investigations.

Risk of major bleeding during concomitant use of antibiotic drugs and coumarin anticoagulants.

BACKGROUND: Coumarin anticoagulants are prone to drug-drug interactions. For example, antibiotic drugs may enhance the anticoagulant effect of coumarins. However, whether such interactions are associated with an increased risk of bleeding, and if so, how frequently this occurs remains unknown. OBJECTIVE: To assess the risk of major bleeding associated with the concomitant use of antibiotic drugs and coumarin anticoagulant therapy. METHODS: We analyzed a retrospective cohort study including all users of acenocoumarol or phenprocoumon in the PHARMO Record Linkage System (age range: 40-80 years). All patients were followed up until end of last coumarin treatment, hospitalization for bleeding, death, or end of study period. For each patient, the number of days on either coumarins alone, or on coumarins in combination with antibiotic drugs was determined. From these data, the relative risks of major bleeding were calculated. RESULTS: A total of 52,102 users of acenocoumarol and 7885 users of phenprocoumon met the inclusion criteria of our study cohort and contributed 139,159 person-years of follow-up. During follow-up, 838 patients (1.4%) were hospitalized for a bleeding while taking coumarins. Of the 62 different antibiotics taken by study members, 19 were associated with a bleeding episode. Of these, 10 were associated with a statistically significant increased bleeding risk. The relative risk of bleeding was three to five for doxycycline, amoxicillin, amoxicillin/clavulanic acid, ciprofloxacin, cotrimoxazole, azithromycin and pheneticillin, nine for tetracycline and 43 for cefradine and neomycin. CONCLUSION: Based on relative risks and incidence of use, amoxicillin (alone or with clavulanic acid) and doxycycline are the main antibiotic drugs associated with major bleeding when used in combination with coumarin.

The influence on INRs and coagulation factors of the time span between blood sample collection and intake of phenprocoumon or acenocoumarol: consequences for the assessment of the dose.

Managing treatment with vitamin K antagonists, the prothrombin time (PT), expressed as international normalized ratio (INR), may not represent the INR during the entire 24 hour (h) period, and this variation may be different between long-acting phenprocoumon and short-acting acenocoumarol. For both drugs we investigated the variation in 24 h of the PT/INR, the consequencesfor the assessment of the doses and which vitamin K-dependent factor causes the daily variation. Patients on self-management took their medication at 6 p.m. and determined their INRs for eight weeks, once a week and three times daily (8.30 a.m., 6 p.m. and 11 p.m., thus 14.5 h, 24 h and 29 h after taking the medication, respectively). Acenocoumarol showed a significant variation in INRs over the 24 h period, with 22 out of 80 INRs >20% lower at 11 p.m. versus 8.30 a.m. Phenprocoumon showed only few variations. Patients managed by the anticoagulation clinic took their medication at 6 p.m. for four weeks and then at 8 a.m. for four weeks, 15 h and 25 h, respectively, before the weekly blood collection. PT/INR and coagulation factors VII, X and II were determined. With acenocoumarol, taken 25 h before blood collection, the INRs were significantly different compared to 15 h, especially attributed to plasma levels of factor VII. Those on phenprocoumon were equal. These variations of INRs during 24 h may have major effects on the prescribed dose of short-acting vitamin K antagonists, such as acenocoumarol, especially for INRs at the limits of the therapeutic ranges.

Quality of anticoagulation with unfractionated heparin plus phenprocoumon for the prevention of thromboembolic complications in cardioversion for non-valvular atrial fibrillation. Sub-analysis from the Anticoagulation in Cardioversion using Enoxaparin (ACE) trial.

INTRODUCTION: Anticoagulation in cardioversion for atrial fibrillation is performed using unfractionated heparin and oral anticoagulants. TEE-guided cardioversion, after achievement of therapeutic anticoagulation (1-3 days), may be an alternative to the traditional procedure (3-week anticoagulation followed by cardioversion). The quality of anticoagulation in atrial fibrillation has not been investigated in a randomised trial with TEE-guided cardioversion. We analysed respective data from the ACE trial on the quality of conventional anticoagulation, where most participating centres chose the TEE-guided approach. MATERIALS AND METHODS: In a randomised, prospective, multicentre trial, we analysed the efficacy of unfractionated heparin plus phenprocoumon in 248 patients on an intention-to-treat basis. There were 2373 evaluable anticoagulation measurements (out of 2925 measurements) and 4 categories of anticoagulation quality (under-, target, over- and severe over-anticoagulation). Of patients with evaluable measurements, 88% received short-term anticoagulation (4 weeks) in TEE-guided cardioversion. RESULTS: The median time to achieve therapeutic anticoagulation (aPTT> or =60 and <80 s or INR> or =2 and <3) was 3 days. Anticoagulation values were out of therapeutic range in 69.5% of measurements during 4- or 7-week follow-up, and never within therapeutic range in 10% of patients. Of the 15 primary endpoints observed (death, thromboembolism and major bleeding complications), only 3 were in patients with anticoagulation measurements within therapeutic range. CONCLUSIONS: In this study setting, with predominance of 4 weeks anticoagulation in TEE-guided cardioversion for atrial fibrillation, therapeutic anticoagulation was reached within 3 days using conventional anticoagulation. Despite careful dose adjustments, anticoagulation was out of therapeutic range in almost 70% of total measurements and 80% of primary endpoints.