Population pharmacokinetics of recombinant human C1 esterase inhibitor in children with hereditary angioedema.

BACKGROUND: Recombinant human C1 esterase inhibitor (rhC1-INH) is indicated in the United States for the treatment of acute hereditary angioedema (HAE) attacks in adolescents and adults; it is also indicated in Europe for children aged 2 years and older. A need exists for further insight into potential pharmacokinetic (PK) differences in functional C1-INH levels by age (ie, children, adolescents, and adults). OBJECTIVE: To perform population PK modeling to predict C1-INH levels by age after by age rhC1-INH administration. METHODS: Data from a phase 2 pediatric trial (children aged 4-13 years at screening) were added to a database of 6 trials in adults and adolescents. An unpublished population PK model was refined and used to simulate C1-INH exposure. RESULTS: Analysis included 153 individuals (14 healthy volunteers; 139 patients with HAE) and 1788 functional C1-INH measurements (59 from 20 patients in the pediatric trial). Bodyweight (population weight, 16-128 kg) was a key predictor of C1-INH volume of distribution. Age was not a predictor of C1-INH PK after the inclusion of bodyweight in the model. Simulations of the recommended rhC1-INH dosing regimen (bodyweight <84 kg, 50 U/kg; ≥84 kg, 4200 U) revealed that overall C1-INH exposure was comparable among age groups. Predicted peak functional C1-INH concentrations were at or above the lower level of normal (≥0.7 U/mL) for 99.8% of adults (≥18 years), 99.8% of adolescents (14-17 years), and 96.0% of children (2-13 years). CONCLUSION: The analyses support the same weight-based rhC1-INH dosing for HAE attacks in children as currently recommended for adolescents and adults. These results support clinical trial data, which revealed similar safety and efficacy profiles across these age groups.

Evaluation of the effect of dabrafenib and metabolites on QTc interval in patients with BRAF V600-mutant tumours.

AIMS: The effect of repeat oral supratherapeutic dosing of the BRAF inhibitor dabrafenib on QTc interval was assessed in patients with BRAF V600-mutant tumours. METHODS: Part 1 of this phase 1, multicentre, 2-part study (BRF113773/NCT01738451) assessed safety/tolerability of dabrafenib 225 or 300 mg twice daily (BID) to inform part 2 dosing. Patients in part 2 received dabrafenib-matched placebo on day -1, single-dose dabrafenib 300 mg on day 1, 300 mg BID on days 2 to 7, and 300 mg on day 8 (morning), followed by 24-h Holter electrocardiographic monitoring and pharmacokinetics sample collection each dose day. Pharmacokinetics/pharmacodynamics analysis assessed combined dabrafenib and metabolite effects on QTc interval. RESULTS: Part 1 (n = 12) determined supratherapeutic dosing, 300 mg BID, for part 2. Thirty-one patients completed part 2. Mean maximum ΔΔQTcF occurred on day 8, 10 h postdose (2.86 msec; 90% CI, -1.36 to 7.07). Categorical analysis showed no placebo and dabrafenib outliers (increase >60 msec; QTcF >500 msec). Day 1 dabrafenib 300 mg Cmax and AUC(0-∞) were ≈ 2-fold higher than with single-dose 150 mg. Day 8 AUC(0-τ) with 300 mg BID was ≈ 2.7-fold higher than with 150 mg BID. Dabrafenib metabolites showed similar trends. Pharmacokinetics/pharmacodynamics modelling/simulation showed that median QTc increase was <5 msec (upper 90% CI, <10 msec). No unexpected toxicities occurred with supratherapeutic dosing. CONCLUSION: Repeat oral supratherapeutic dabrafenib 300 mg BID dosing had no clinically relevant effect on QTc interval, with no new safety signals seen.

Population pharmacokinetics of dolutegravir in HIV-infected treatment-naive patients.

AIM: Dolutegravir is the newest integrase inhibitor approved for HIV treatment and has demonstrated potent antiviral activity in patient populations with a broad range of treatment experience. This analysis aimed to characterize the population pharmacokinetics of dolutegravir in treatment-naive patients and to evaluate the influence of patient covariates. METHODS: A population pharmacokinetic model was developed using a non-linear mixed effect modelling approach based on data from 563 HIV-infected, treatment-naive adult patients in three phase 2/3 trials who received dolutegravir (ranging from 10-50 mg once daily) alone or in combination with abacavir/lamivudine or tenofovir/emtricitabine. RESULTS: The pharmacokinetics of dolutegravir were adequately described by a linear one compartment model with first order absorption, absorption lag time and first order elimination. Population estimates for apparent clearance, apparent volume of distribution, absorption rate constant and absorption lag time were 0.901 l h(-1) , 17.4 l, 2.24 h(-1) , and 0.263 h, respectively. Weight, smoking status, age and total bilirubin were predictors of clearance, weight was a predictor of volume of distribution and gender was a predictor of bioavailability. However, the magnitude of the effects of these covariates on steady-state dolutegravir plasma exposure was relatively small (<32%) and was not considered clinically significant. Race/ethnicity, HBV/HCV co-infection, CDC classification, albumin, creatinine clearance, alanine aminotransferase or aspartate aminotransferase did not influence the pharmacokinetics of dolutegravir in this analysis. CONCLUSIONS: A population model that adequately characterizes dolutegravir pharmacokinetics has been developed. No dolutegravir dose adjustment by patient covariates is necessary in HIV-infected treatment-naive patients.

Population pharmacokinetic/pharmacodynamic modelling of eltrombopag in healthy volunteers and subjects with chronic liver disease.

AIMS: To characterize the pharmacokinetics (PK)/pharmacodynamics (PD) of eltrombopag in chronic liver disease (CLD). METHODS: The PK/PD model was developed using data from 79 CLD patients using nonlinear mixed-effects modelling. RESULTS: The PK of eltrombopag were described by a two-compartment model with dual sequential first-order absorption. Gender, race and severity of CLD were predictors of the apparent clearance of eltrombopag. The PD of eltrombopag in CLD were adequately described by a four-compartment lifespan model, in which eltrombopag stimulated platelet precursor production rate. East Asian CLD patients were less sensitive to the stimulatory effect of eltrombopag. Following a daily dose regimen of 50 mg eltrombopag, the time to achieve peak platelet counts was longer for the CLD population compared with patients who had immune thrombocytopenic purpura, but was comparable to patients with hepatitis C. Likewise, it took a longer time for platelet counts to rebound back to baseline once eltrombopag treatment was discontinued. CONCLUSIONS: The time course of the platelet response in CLD was different from that in immune thrombocytopenic purpura but comparable to that in hepatitis C.

Bridging dolutegravir clinical viral response across doses and formulations using model-based exposure-response analysis in pediatrics.

OBJECTIVE: Dolutegravir (DTG) is a once-daily HIV-1 integrase inhibitor approved for the treatment of HIV-1 infection in adults and children from 4 weeks of age. The posology of DTG in children has been driven by exposure-matching relative to the adult dose for efficacy and safety. However, higher variability in pediatric exposures raises concern that efficacy may not be reliably extrapolated from adult trials. Therefore, we evaluated the relationship between DTG exposure and virologic response in children. DESIGN/METHODS: A population exposure-response analysis using logistic regression for virologic response was undertaken based on DTG exposure and covariate data from 146 pediatric participants with HIV-1 from age at least 4 weeks to less than 18 years treated for up to 48 weeks with DTG in IMPAACT P1093 study. RESULTS: None of the DTG exposure metrics were predictive of virologic response over the range of exposures in this analysis. Of the covariates tested, viral load at least 100 000 copies/ml at enrolment was a significant predictor of virologic response showing a lower probability of achieving a virologic response of HIV-1 RNA less than 50 copies/ml compared with participants with viral load less than 100 000 copies/ml at enrolment. Baseline viral load was also a significant predictor at week 48 whereby the probability of achieving a virologic response at week 48 decreased with increasing baseline viral load. CONCLUSION: This exposure-response analysis suggests that DTG exposures in children are all above the plateau of the exposure-response relationship. These results suggest that matching pediatric pharmacokinetic exposure parameters to those in adults is a reasonable approach for dose determination of DTG-containing formulations in pediatrics.

Population pharmacokinetics of recombinant human C1 inhibitor in patients with hereditary angioedema.

AIMS: To characterize the pharmacokinetics (PK) of recombinant human C1 inhibitor (rhC1INH) in healthy volunteers and hereditary angioedema (HAE) patients. METHODS: Plasma levels of C1INH following 294 administrations of rhC1INH in 133 subjects were fitted using nonlinear mixed-effects modelling. The model was used to simulate maximal C1INH levels for the proposed dosing scheme. RESULTS: A one-compartment model with Michaelis-Menten elimination kinetics described the data. Baseline C1INH levels were 0.901 [95% confidence interval (CI): 0.839-0.968] and 0.176 U ml(-1) (95% CI: 0.154-0.200) in healthy volunteers and HAE patients, respectively. The volume of distribution of rhC1INH was 2.86 l (95% CI: 2.68-3.03). The maximal rate of elimination and the concentration corresponding to half this maximal rate were 1.63 U ml(-1) h(-1) (95% CI: 1.41-1.88) and 1.60 U ml(-1) (95% CI: 1.14-2.24), respectively, for healthy volunteers and symptomatic HAE patients. The maximal elimination rate was 36% lower in asymptomatic HAE patients. Peak C1INH levels did not change upon repeated administration of rhC1INH. Bodyweight was found to be an important predictor of the volume of distribution. Simulations of the proposed dosing scheme predicted peak C1INH concentrations above the lower level of the normal range (0.7 U ml(-1)) for at least 94% of all patients. CONCLUSIONS: The population PK model for C1INH supports a dosing scheme on a 50 U kg(-1) basis up to 84 kg, with a fixed dose of 4200 U above 84 kg. The PK of rhC1INH following repeat administration are consistent with the PK following the first administration.

Population pharmacokinetic modeling and simulation of maribavir to support dose selection and regulatory approval in adolescents with posttransplant refractory cytomegalovirus.

Maribavir was approved by the US Food and Drug Administration for the treatment of patients aged ≥12 years and weighing ≥35 kg with posttransplant cytomegalovirus infection/disease refractory (with/without resistance) to valganciclovir, ganciclovir, cidofovir, or foscarnet, with an oral dose of 400 mg twice daily. With no pediatric clinical data available and difficulty in trial recruitment, population pharmacokinetic modeling and simulations were conducted to predict the pharmacokinetics and inform maribavir dosing in adolescents.

Population Pharmacokinetic Modeling of Dolutegravir to Optimize Pediatric Dosing in HIV-1-Infected Infants, Children, and Adolescents.

BACKGROUND AND OBJECTIVE: HIV treatment options remain limited in children. Dolutegravir is a potent and well-tolerated, once-daily HIV-1 integrase inhibitor recommended for HIV-1 infection in both adults and children down to 4 weeks of age. To support pediatric dosing of dolutegravir in children, we used a population pharmacokinetic model with dolutegravir data from the P1093 and ODYSSEY clinical trials. The relationship between dolutegravir exposure and selected safety endpoints was also evaluated. METHODS: A population pharmacokinetic model was developed with data from P1093 and ODYSSEY to characterize the pharmacokinetics and associated variability and to evaluate the impact of pharmacokinetic covariates. The final population pharmacokinetic model simulated exposures across weight bands, doses, and formulations that were compared with established adult reference data. Exploratory exposure-safety analyses evaluated the relationship between dolutegravir pharmacokinetic parameters and selected clinical laboratory parameters and adverse events. RESULTS: A total of N = 239 participants were included, baseline age ranged from 0.1 to 17.5 years, weight ranged from 3.9 to 91 kg, 50% were male, and 80% were black. The final population pharmacokinetic model was a one-compartment model with first-order absorption and elimination, enabling predictions of dolutegravir concentrations in the pediatric population across weight bands and doses/formulations. The predicted geometric mean trough concentration was comparable to the adult value following a 50-mg daily dose of dolutegravir for all weight bands at recommended doses. Body weight, age, and formulation were significant predictors of dolutegravir pharmacokinetics in pediatrics. Additionally, during an exploratory exposure-safety analysis, no correlation was found between dolutegravir exposure and selected safety endpoints or adverse events. CONCLUSIONS: The dolutegravir dosing in children ≥ 4 weeks of age on an age/weight-band basis provides comparable exposures to those historically observed in adults. Observed pharmacokinetic variability was higher in this pediatric population and no additional safety concerns were observed. These results support the weight-banded dosing of dolutegravir in pediatric participants currently recommended by the World Health Organization.

Population Pharmacokinetic Analysis of Fluticasone Furoate/Umeclidinium Bromide/Vilanterol in Patients with Chronic Obstructive Pulmonary Disease.

BACKGROUND: Population pharmacokinetic methods were used to characterize the pharmacokinetics of fluticasone furoate (FF), umeclidinium (UMEC), and vilanterol (VI) in patients with chronic obstructive pulmonary disease (COPD) when administered as a fixed-dose combination via a single closed inhaler. METHODS: Plasma concentration data from three studies were analyzed using non-linear mixed-effects modeling in NONMEM®. RESULTS: The pooled dataset consisted of 2948, 2589, and 3331 FF, UMEC, and VI observations from 714, 622, and 817 patients with COPD, respectively. There were 41%, 13%, and 21% of observations below the quantification limit for FF, UMEC, and VI, respectively. The pharmacokinetics of FF, UMEC, and VI were all adequately described by a two-compartment model with first-order absorption. The following covariates were statistically significant, but none were considered to be clinically relevant. For FF, Japanese heritage and FF/VI treatment on apparent inhaled clearance (CL/F) with FF CL/F 35% lower in patients of Japanese heritage across all treatments and FF CL/F 42% higher in patients with COPD following FF/VI administration. This is in line with the product label. For UMEC, weight, age, and smoking status on CL/F and weight on apparent volume of distribution (V2/F) with every 10% increase in age from 60 years of age leading to approximately a 6% decrease in UMEC CL/F and every 10% increase in weight from 70 kg leading to approximately a 6% increase in UMEC CL/F and approximately an 8% increase in UMEC V2/F. For a subject with COPD who smoked, UMEC CL/F was 28% higher. For VI, weight on CL/F and smoking status on V2/F with an approximately 4% increase in VI CL/F for every 10% increase in weight from 70 kg, and for a subject with COPD who smoked, VI V2/F was 46% higher. The majority of these covariates have been previously identified in historical analyses. None of these effects were clinically relevant in terms of systemic exposures and do not warrant dose adjustment. CONCLUSIONS: All FF, UMEC, and VI plasma concentrations were well interspersed with historical data and were all adequately described by a two-compartment model with first-order absorption. There were no clinically relevant differences in FF, UMEC, or VI systemic exposures when administered as FF/UMEC/VI, FF/VI + UMEC, or the dual combinations FF/VI and/or UMEC/VI.

Population Pharmacokinetic and Pharmacodynamic Modeling and Effects on Platelet Counts of Different Dosages of Eltrombopag in Chinese Patients With Chronic Primary Immune Thrombocytopenia.

PURPOSE: This study characterized the population pharmacokinetic (pop-PK) and PK/pharmacodynamic (pop-PK/PD) properties of eltrombopag and evaluated platelet count (PLTC) response to different eltrombopag dosages through simulations in Chinese adult patients with chronic primary immune thrombocytopenia (cITP). METHODS: Pop-PK and pop-PK/PD models were developed from Chinese patients with cITP. Model-based simulations were then performed to predict PLTC response. FINDINGS: The pop-PK properties of eltrombopag were described by a 2-compartment model with first-order absorption and elimination and absorption lag time. Steady-state exposure in these Chinese patients was ~55% greater than that in non-East Asian patients. The pop-PK/PD properties of eltrombopag were described by a model with 4 transit compartments where the increase in platelet production rate was linearly related to the plasma eltrombopag concentration. Eleven percent of the patients were identified as nonresponders to eltrombopag. Simulations showed that ~70% to 80% of steady-state PLTC response was achieved at week 2, and the percentages of patients who achieved a PLTC of 50 to 150 × 10(9) cells/L were comparable between weeks 2 and 6 with 12.5-, 25-, 50-, and 75-mg once-daily dosing. The 25-mg once-daily dosage was associated with a more balanced response than were the 12.5-, 50-, and 75-mg once-daily dosages with regard to efficacy (percentages of patients with PLTC 50-150 × 10(9) cells/L, 27% vs 20%, 30%, and 30%, respectively) and the risk for thrombocytosis (percentages of patients with PLTC >250 × 10(9) cells/L, 4% vs 1%, 10%, and 16%). Simulations of PLTCs with the dose-titration regimen showed that ≥42% of patients achieved a PLTC 50 to 150 × 10(9) cells/L at week 6 or later, compared with ≤30% when the 12.5-, 25-, 50-, and 75-mg once-daily fixed doses were given. No more than 5% of patients who underwent dose titration had a PLTC >250 × 10(9) cells/L throughout 24 weeks of treatment, compared with 3%, 7%, 16%, and 24% when the once-daily fixed doses of eltrombopag were given. IMPLICATIONS: The pop-PK and pop-PK/PD properties of eltrombopag in these Chinese adult patients with cITP were adequately characterized in the present analyses. The modeling and simulation results support the eltrombopag dose-titration regimen, with 25 mg once daily as a starting dosage and a 2-week titration interval, in Chinese patients with cITP.

Interpretation and optimization of the dissolution specifications for a modified release product with an in vivo-in vitro correlation (IVIVC).

This article considers the in vivo significance attached to in vitro dissolution testing. Almost invariably, the in vitro dissolution test is interpreted in terms of bioequivalence. The literature that describes methods for setting in vitro dissolution specifications is reviewed. The most common interpretation of these specifications is a deterministic one, that is, those batches passing the dissolution specifications would be bioequivalent with the reference if tested in vivo and those failing the dissolution specifications would not be bioequivalent if tested in vivo. Due to random variation, the deterministic interpretation is not appropriate. Instead, we need to consider the conditional probability that a batch that has passed the in vitro dissolution test would demonstrate bioequivalence if tested in vivo, and that a batch known to have failed the in vitro dissolution test would demonstrate bioinequivalence if tested in vivo. One way to estimate these probabilities is by means of a simulated experiment in which the production and testing (in vivo and in vitro) of a large number of batches is computer simulated. Such a simulation can only be performed if the relationship between the in vitro dissolution characteristics and the in vivo performance of the product has been modeled. These models are generally referred to as in vivo-in vitro correlations (IVIVC). The results of one such experiment are described. The above-mentioned conditional probabilities are shown to depend on the choice of dissolution specifications. This result leads to the notion of optimal dissolution specifications. However, both of the conditional probabilities cannot be maximized simultaneously. The probability of making a correct decision on the basis of the in vitro dissolution test is introduced as a possible optimality criterion. This probability is a linear combination of the two conditional probabilities of interest. Using this criterion, the optimal dissolution specifications can be found by searching over the multidimensional space defined by the half width of each interval used in the specifications to find the combination that maximizes this probability. This process is demonstrated using the Nelder-Mead search routine. The choice of dissolution specifications has profound implications for the routine production of the product because if the specifications were very narrow the probability of a batch passing would be low, resulting in a low hit rate. The same computer program used to perform the simulation experiment can be used to estimate the hit rate. Furthermore, it can be used to explore the magnitude of changes required in the parameters describing the test product (particularly variability) to increase a low hit rate to an acceptable level.

Population PK/PD modeling of eltrombopag in subjects with advanced solid tumors with chemotherapy-induced thrombocytopenia.

PURPOSE: Eltrombopag, a thrombopoietin receptor agonist, is being evaluated for the treatment of chemotherapy-induced thrombocytopenia. Due to the delay in platelet response after the administration of eltrombopag or chemotherapy, a modeling and simulation approach was used to optimize the eltrombopag dosing regimen. METHODS: Pharmacokinetic (PK) data from 2 studies in healthy subjects and PK and platelet data from a Phase II study in subjects with cancer receiving carboplatin/paclitaxel (where eltrombopag was given 10 days after chemotherapy) were used to develop a nonlinear mixed-effects PK/PD model. Alternative eltrombopag dosing regimens were then simulated. RESULTS: The PK model was a linear two-compartment model with first-order absorption. Being Asian, female, and >50 years of age were associated with higher eltrombopag exposure. The time course of platelet counts was described by a four-compartment transit model. Carboplatin inhibited platelet precursor production linearly with dose, with increased effect with each cycle of chemotherapy. Eltrombopag stimulated platelet precursor production, proportional to plasma eltrombopag concentration, and stimulation (slope of the concentration effect) was attenuated with each cycle of chemotherapy. CONCLUSIONS: Simulations indicated that eltrombopag administered 5 days before and 5 days after chemotherapy minimizes the decrease and fluctuations in platelet counts relative to other evaluated dosing regimens.

Population PK/PD modeling of eltrombopag in healthy volunteers and patients with immune thrombocytopenic purpura and optimization of response-guided dosing.

The relationship between plasma eltrombopag concentrations and increases in platelet counts (PLTC) was characterized in healthy volunteers (HVs) and patients with immune thrombocytopenic purpura (ITP) using population pharmacokinetic/pharmacodynamic (PK/PD) models. The semiphysiological model included 3 PK, 1 precursor production, 2 maturation, and 1 blood platelet compartments and assumed a linear increase in platelet production rate with eltrombopag concentrations. Thrombopoiesis was assumed to be the same in HVs and patients, whereas platelets degraded more rapidly in patients. A mixture model was used, with nonresponders accounting for 19% of the patients. The following covariates were predictive of higher PLTC in ITP patients based on PK or PD differences in descending order of magnitude: East Asian race, age 65 years or older, baseline PLTC greater than 15 Gi/L, female, and concurrent corticosteroid. Simulations support starting eltrombopag at a dose of 50 mg once daily, except in East Asian patients, for whom 25 mg once daily is warranted. Doses can be titrated at 2-week intervals (or longer) to achieve target PLTC.

Exposure-toxicity relationships for tipifarnib in cancer patients.

AIMS: To explore the potential relationship between systemic exposure to tipifarnib and the incidence of toxicity in cancer patients. METHODS: Data from 673 subjects (540 receiving tipifarnib and 133 receiving placebo) were included in the analysis. Tipifarnib was administered in doses ranging from 100 mg to 850 mg twice daily under fed conditions for 21 days in a 28 day cycle. Univariate and multivariate logistic regression models were used to evaluate the relationships between tipifarnib exposure and haematological (neutropenia and thrombocytopenia) and nonhaematological toxicities. Tipifarnib exposure was quantified as the area under the curve during the first cycle of chemotherapy (AUC), the maximum plasma concentration (C(max)), the time above plasma tipifarnib concentrations of 400 (T400) and 600 ng ml(-1) (T600), the cumulative area under the curve (AUC(T)), and the area under the curve density (AUC(D)), defined as the ratio AUC(T) to the duration of treatment. The nonhaematological toxicities measured were elevation of AST, ALT, bilirubin and serum creatinine, the occurrence of a skin rash, CNS or peripheral neuropathy, nausea and vomiting, diarrhoea and inflammation of the gastrointestinal tract. Odds ratios (OR) associated with drug exposure were used to measure the effect of the drug. RESULTS: Tipifarnib AUC exhibited a positive and significant association with neutropenia grade > or =3 (OR 1.69, 95% CI 1.47, 1.95) and thrombocytopenia grade > or =3 (OR 1.41, 95% CI 1.21, 1.63) in patients with solid tumours, but not in refractory or relapsed AML patients. The incidence of exposure-related nonhaematological toxicity is small regardless of tumour type. No association was found between tipifarnib AUC and the elevation of AST, ALT and total bilirubin, and nausea and vomiting. There was a weak relationship between tipifarnib AUC and serum creatinine elevation (OR 1.18, 95% CI 1.11, 1.26), CNS (OR 1.05, 95% CI 1.01, 1.10) and peripheral neurotoxicity (OR 1.10, 95% CI 1.03, 1.18), diarrhoea (OR 1.14, 95% CI 1.08, 1.21), gastrointestinal tract inflammation (OR 1.13, 95% CI 1.07, 1.19), and skin rash (OR 1.10, 95% CI 1.04, 1.17). CONCLUSIONS: In those patients who develop severe toxicity, dose reduction may improve the tolerability of tipifarnib. However, an exposure-guided approach to dosage adjustment to limit haematological and nonhaematological toxicity is not warranted.

Population pharmacokinetics of extended-release injectable naltrexone (XR-NTX) in patients with alcohol dependence.

OBJECTIVE: Injectable extended-release naltrexone (XR-NTX; Vivitrol) has recently been approved for the treatment of alcohol dependence. A population pharmacokinetic (PPK) analysis examined the possibility of altered pharmacokinetics for naltrexone and its primary metabolite, 6beta-naltrexol, in subpopulations with a potential for alcohol-dependence treatment. METHOD: Data from four clinical studies of XR-NTX were pooled. Absorption was modeled as a sequential release in three phases. The pharmacokinetics of naltrexone and 6beta-naltrexol were modeled as one-compartment disposition submodels, parameterized in terms of clearance (CL) and volume of distribution (V). The impact of age, weight, gender, race, hepatic function, renal function, smoking, and alcohol/opioid dependence on PPK parameter estimates was analyzed. RESULTS: Plasma concentrations were available from 453 subjects. More than half of the subjects (59%) were alcohol dependent, and 27% were dependent on both alcohol and opioids. Naltrexone CL (140 L/h) and V (38,300 L) were dependent on weight (changes of 0.548 L/h/kg and 0.655 L/kg, respectively) and were 23% and 35% higher, respectively, in subjects with alcohol and/or opioid dependence than in healthy subjects. Naltrexone CL also was dependent on age (-0.108 L/h/year); 6beta-naltrexol CL (65.1 L/h) was dependent on creatinine CL (0.229 L/h/ml/minute) and alkaline phosphatase (-0.130 L/h/IU/L), and was increased by 18% in smokers and in alcohol- and/or opioid-dependent subjects. CONCLUSIONS: Although statistically significant covariate-parameter relationships were identified, they were not considered clinically meaningful, suggesting that dosing adjustments of XR-NTX based on weight, age, gender, health status, smoking status, creatinine CL, and hepatic function differences should not be necessary.

Population pharmacokinetics of tipifarnib in healthy subjects and adult cancer patients.

AIMS: To characterize the population pharmacokinetics of tipifarnib. METHODS: A total of 1083 subjects treated orally with a solution, capsule or tablet formulations of tipifarnib, given as a single dose or as multiple twice-daily doses (range 25-1300 mg) were combined with data from 1, 2 and 24 h intravenous infusions. A total of 3445 concentrations in the index data set were fitted by an open three-compartment linear disposition model with sequential zero-order input into the depot compartment, followed by a first-order absorption process, and lag time, using NONMEM V. The effect of patient covariates on tipifarnib pharmacokinetics was explored. The model was evaluated using goodness of fit plots and relative error measurements for 3894 concentrations in the test data set. Computer simulations were undertaken to evaluate the effect of covariates on tipifarnib pharmacokinetics. RESULTS: Tipifarnib oral bioavailability (26.7%) did not differ between the formulations. The absorption rate from the solution was faster than from the solid forms. Whereas the absorption rate and systemic clearance were more rapid in healthy subjects, the extent of absorption and the steady-state volume of distribution were comparable in cancer patients and healthy subjects. Systemic clearance in cancer patients (21.9 l h-1) exhibited a statistically significant relationship with total bilirubin. The typical volume of the central compartment in cancer patients (54.6 l 70 kg-1) was directly proportional to body weight. The clinical relevance of these covariates in cancer patients is questionable as there was a substantial overlap in simulated concentration-time profiles across a wide range of covariate values. CONCLUSIONS: A population PK approach has been used to integrate data gathered during clinical development and to characterize the pharmacokinetics of tipifarnib. Individualization of dose based on body weight or total bilirubin concentration in adult cancer patients is not warranted.