Population pharmacokinetic model of cefazolin in total hip arthroplasty.

Cefazolin is an antibiotic recommended for infection prevention in total hip arthroplasty (THA). However, the dosing regimen necessary to achieve therapeutic concentrations in obese patients remains unclear. The aim of this study was to conduct a population analysis of cefazolin pharmacokinetics (PK) and assess whether cefazolin administration should be weight adapted in THA. Adult patients undergoing THA surgery received an injection of 2000 mg of cefazolin, doubled in the case of BMI > 35 kg/m2 and total body weight > 100 kg. A population PK study was conducted to quantify cefazolin exposure over time compared to the therapeutic concentration threshold. A total of 484 cefazolin measurements were acquired in 100 patients, of whom 29% were obese. A 2-compartment model best fitted the data, and creatinine clearance determined interpatient variability in elimination clearance. Our PK simulations using a 2000 mg cefazolin bolus showed that cefazolin concentrations remained above the threshold throughout surgery, regardless of weight or renal function. A 2000 mg cefazolin single injection without adaptation to weight or renal function and without intraoperative reinjection was efficient in maintaining therapeutic concentrations throughout surgery. The optimal target concentration and necessary duration of its maintenance remain unclear.

Pharmacokinetic Model for Cefuroxime Dosing during Cardiac Surgery under Cardiopulmonary Bypass.

Cefuroxime (CXM) is an antibiotic recommended for surgical site infection prevention in cardiac surgery. However, the dosing regimens commonly used do not sustain therapeutic concentrations throughout surgery. The aim of this study was to conduct a population analysis of CXM pharmacokinetics (PK), and to propose an optimized dosing regimen. Adult patients undergoing cardiac surgery under cardiopulmonary bypass (CPB) received a 1,500 mg CXM intravenous bolus followed by a 750 mg bolus at CPB priming, then every 2 h thereafter. Model-based PK simulations were used to develop an optimized dosing regimen and evaluate its efficacy in attaining various concentration thresholds, including those recommended in US and European guidelines. In total, 447 CXM measurements were acquired in 50 patients. A two-compartment model best fit the data, with total body weight and creatinine clearance determining interpatient variability in the central and peripheral volumes of distribution, and in elimination clearance, respectively. Using our optimized dosing regimen, different dosing schemes adapted to body weight and renal function were calculated to attain total concentration thresholds ranging from 12 to 96 mg/liter. Our simulations showed that the dosing regimens recommended in US and European guidelines failed to maintain concentrations above 48 mg/liter. Our individualized dosing strategy was capable of ensuring therapeutic CXM concentrations conforming to each target threshold. Our model yielded an optimized CXM dosing regimen adapted to body weight and renal function, and sustaining therapeutic concentrations consistent with each desired threshold. The optimal target concentration and necessary duration of its maintenance in cardiac surgery still remain unclear.

Value of quantifying ABC transporters by mass spectrometry and impact on in vitro-to-in vivo prediction of transporter-mediated drug-drug interactions of rivaroxaban.

ABC transporters, such as P-gp and BCRP, are involved in rivaroxaban pharmacokinetics and can lead to drug-drug interactions (DDIs). Investigations of the victim role for rivaroxaban and transporter-mediated DDI are commonly performed using in vitro models. However, interpretation of rivaroxaban efflux transport and DDI studies in cell models may be influenced by P-gp and BCRP transporter abundance. This study aimed to develop an LC-MS/MS quantification method for assessing the relationship between transporter expression and functionality in Caco-2ATCC, Caco-2ECACC, MDCK-MDR1, MDCK-BCRP cell models. First, the relative and absolute quantities of the transporters were determined by LC-MS/MS. P-gp and BCRP expression was then confirmed by western blotting and immunofluorescence staining. Finally, P-gp and BCRP functional activities and half-inhibitory concentrations (IC50s) of two specific inhibitors (verapamil and ko143) were determined by bidirectional transport experiments. P-gp and BCRP protein expression was detected at the cell membrane and was greater in the respective transfected models. Efflux ratios were correlated with P-gp and BCRP quantities. The lowest IC50s were obtained in the MDCK-MDR1 and MDCK-BCRP models for verapamil and ko143, respectively. In conclusion, this study demonstrated that LC-MS/MS can accurately quantify P-gp and BCRP efflux transporters and thereby improve the interpretation of transport data and in vitro-in vivo correlations.

Incidence and risk factors of major bleeding following major orthopaedic surgery with fondaparinux thromboprophylaxis. A time-to-event analysis.

AIMS: Increased exposure to fondaparinux, as observed in patients with renal impairment, may increase bleeding risk. This study aims to determine the time course of major bleeding after major orthopaedic surgery, identify predictors of bleeding and simulate the effect of a reduced dose of fondaparinux on bleeding for patients with moderate renal impairment (creatinine clearance = 20-50 ml min-1 ). METHODS: Data including fondaparinux anti-Xa activities from two multicentre prospective cohorts were used. In the first cohort, patients (n = 957) received fondaparinux 2.5 mg once a day. In the second, patients with moderate renal impairment (n = 436) received 1.5 mg once per day. The time-to-major bleeding after the end of surgery was modelled using a parametric survival analysis in NONMEM. RESULTS: The observed rate of major bleeding up to day 11 was 5.2%. The time-to-event analysis indicated that the hazard of bleeding was highest in the first days following surgery and then remained low thereafter. Independent significant predictors of an increased hazard of major bleeding were male sex, lower body weight and increased drug exposure. Simulated rates of major bleeding up to day 11 in patients with moderate renal impairment were 6.5% with fondaparinux 2.5 mg once daily and 3.8% with fondaparinux 1.5 mg once daily. CONCLUSION: The hazard of major bleeding is highest in the first postoperative days and increases with fondaparinux exposure. To reduce the risk of bleeding in patients with moderate renal impairment, this study supports the use of a lower dose of fondaparinux 1.5 mg once daily.

Individualized PK-based prophylaxis in severe haemophilia.

Over the past decades, haemophilia management has continually evolved, with prophylaxis now considered the treatment of choice. Prophylaxis primarily seeks to prevent bleeding and haemarthrosis episodes from occurring and avert the otherwise inevitable haemophilic arthropathy. Yet, numerous unanswered issues remain. These concern dose levels, dosing intervals, ways of integrating variability in bleeding phenotype, patient age, joint status, lifestyle, physical activity, treatment adherence and individual responses to FVIII or FIX concentrates. Individualized prophylaxis may thus be paramount. One crucial tool that may allow more accurate prophylaxis regimens to be implemented is the individual pharmacokinetic (PK) study. Therefore, physicians in charge of managing those living with haemophilia must be comfortable with PK profiling in order to be in a position to tailor patients' treatment, taking into account PK data, while minimizing patients' inconvenience, discomfort, as well as, possibly, treatment costs. For optimization of prophylaxis, recent development of recombinant molecules with more attractive PK properties, such as prolonged elimination half-life, increases the choice of dosing regimens, enabling decreased frequency of dosing for some, if deemed appropriate. For each patient, PK parameters can be determined, including trough levels, AUC, and time spent under a predefined threshold, with additional pharmacodynamic (PD) parameters possibly established by means of a global coagulation test like the thrombin generation test. Most importantly, target PK/PD parameters will need to consider clinical variables like patient age, body weight, joint status, treatment adherence, number of bleeding episodes, activity index or lifestyle.

Pharmacokinetic/pharmacodynamic model for unfractionated heparin dosing during cardiopulmonary bypass.

BACKGROUND: High-dose heparin is used during cardiopulmonary bypass (CPB) to prevent thrombosis in the circuits used for extracorporeal circulation. The aim of this study was, initially, to develop a population pharmacokinetic/pharmacodynamic (PK/PD) model to assess the variability of PK/PD parameters and their correlation with the results of the routine haemostatic test activated clotting time (ACT) and thereafter to develop a Bayesian estimator enabling an individualized dosing strategy. METHODS: Fifty consecutive patients undergoing cardiac surgery with CPB were included in the study. Heparin was administered as an initial bolus of 300 IU kg -1 followed by additional boluses of 5000 IU to maintain ACT <400 s. In total, 361 blood samples were collected. The PK and PD data were analysed using a non-linear mixed effect model. RESULTS: A two-compartment model with a linear elimination link to an E max model best described heparin anti-factor Xa activities and ACT. Covariate analysis showed that body weight was positively correlated with clearance and central compartment volume. Inclusion of body weight with these parameters decreased their variability by 11 and 15%, respectively. The Bayesian estimator performed well in predicting individual parameters in an independent group of patients. CONCLUSIONS: A population PK/PD analysis of heparin during CPB, using a routine haemostatic test, shows that Bayesian estimation might help to predict ACT on the basis of only one or two blood samples.

Interindividual variability in dabigatran and rivaroxaban exposure: contribution of ABCB1 genetic polymorphisms and interaction with clarithromycin.

Essentials Rivaroxaban and dabigatran are substrates of the P-glycoprotein (P-gp) encoded by the ABCB1 gene. We tested the effect of ABCB1 polymorphisms and of a P-gp inhibitor on both drugs' pharmacokinetics. The ABCB1 genotype was not a clinically relevant determinant of both drugs' pharmacokinetics. Administration of P-gp inhibitors with dabigatran or rivaroxaban should be exercised with caution. SUMMARY: Background The direct oral anticoagulants (DOACs) dabigatran and rivaroxaban are both substrates of the P-glycoprotein (P-gp) transporter, encoded by the ABCB1 gene. Rivaroxaban is metabolized by cytochrome P450 A4 (CYP3A4). Interindividual variability in DOAC exposure and frequent P-gp-associated drug-drug interactions have been described in patients. Objective To assess the influence of ABCB1 polymorphisms on the pharmacokinetics of dabigatran and rivaroxaban, associated or not with clarithromycin, a P-gp and CYP3A4 inhibitor. Methods Sixty healthy male volunteers, selected according to ABCB1 genotype (20 homozygous mutated, 20 heterozygous mutated, and 20 wild-type for haplotype 2677-3435), were included in this randomized, two-center, crossover study. All received sequentially a single dose of dabigatran etexilate (300 mg) and rivaroxaban (40 mg) associated or not with clarithromycin. Peak plasma concentration and area under the curve (AUC) were compared across the three ABCB1 genotypes. The effect of clarithromycin on dabigatran or rivaroxaban pharmacokinetics was assessed. Results Interindividual coefficients of variation for AUC were 77% for dabigatran and 51% for rivaroxaban. ABCB1 genotype did not significantly affect drug pharmacokinetics: AUC ratios between mutant-allele carriers and wild-type volunteers were 1.27 (95% confidence interval [CI] 0.84-1.92) and 1.20 (95% CI 0.96-1.51) for dabigatran and rivaroxaban, respectively. Clarithromycin coadministration led to a two-fold increase in both drugs' AUC, irrespective of ABCB1 genotype: ratios of geometric means were 2.0 (95% CI 1.15-3.60) and 1.94 (95% CI 1.42-2.63) for dabigatran and rivaroxaban, respectively. Conclusions ABCB1 genotype is not a significant determinant of interindividual variability in dabigatran and rivaroxaban pharmacokinetics. The levels of one drug did not predict the levels of the other. Coadministration of a P-gp/CYP3A4 inhibitor with dabigatran or rivaroxaban may warrant caution in patients at risk of overexposure.

Antipsychotics: a real or confounding risk factor for venous thromboembolism?

In a meta-analysis of case-control studies, Zhang et al. (2011) found an increased risk of venous thromboembolic events (VTE) in patients exposed to antipsychotics (OR=2.39 [1.71-3.35]). Our updated meta-analysis including the 2 available cohort studies, recognized as a more relevant type of observational study, showed a weaker, but still strong association (OR=1.84 [1.39; 2.44]). In view of the lack of data on the confirmed risk factors for VTE in existing studies, prospective studies including adjustment for these risk factors are warranted to confirm this association and to assess the benefit/risk ratio of antipsychotics in high-risk patients.

Investigation of PK-PD drug-drug interaction between acenocoumarol and amoxicillin plus clavulanic acid.

A pharmacokinetic-pharmacodynamic (PK-PD) drug-drug interaction between acenocoumarol and amoxicillin + clavulanic acid antibiotic was assessed in eight healthy volunteers, using a population PK-PD) model. Each subject received at day 1 a single dose of 8 mg of acenocoumarol. Then 1 g of amoxicillin + 250 mg of clavulanic acid was given from days 3 to 9. On day 8, each subject received a single dose of 8 mg of acenocoumarol concomitantly with the antibiotic combination. Eleven blood samples were taken during 48 h following each acenocoumarol administration. Acenocoumarol plasma concentrations and prothrombin time were measured at each sampling time. We first identified the structural PK model by pooling data from this trial with individual data from other acenocoumarol PK trials. An indirect response model was used to fit PD data. Models were built using a non-linear mixed effect modelling approach with nonmem software. Covariates were tested on PK and PD parameters, including antibiotic treatment. Acenocoumarol PK data were fitted by a two-compartment, first-order input model with log normal inter-individual variability. Weight and antibiotic treatment were found to improve significantly the fit of PK data with a 15% decrease in acenocoumarol clearance with concomitant antibiotics (P < 0.05). An indirect response model was successfully applied to the PK-PD data of acenocoumarol. No covariate, including antibiotic treatment effect, significantly affected PT. Drug-drug interaction was demonstrated at the PK level, without any PD corollary.