Population pharmacokinetics of gentamicin in neonates using a nonlinear, mixed-effects model.

The population pharmacokinetics of gentamicin in neonates was determined using a nonlinear, mixed-effects model (NONMEM). The final regression equations derived to estimate clearance (Cl) and volume of distribution (Vd) were Cl = 0.120 * (WT/2.4)1.36 L/hr and Vd = 0.429 * (WT) L. The interindividual variability (% CV) for clearance was 26.2% and for volume of distribution 15.9%. Intraindividual variability was 11.0%. In a separate group of 30 neonates, the predictive ability of the NONMEM-generated population variables was compared to the predictions from a standard two-stage population analysis. The trough concentrations predicted using NONMEM-generated parameters were significantly less biased and more precise; there were no significant differences between the methods in predicting peaks. NONMEM is a useful tool for determining population pharmacokinetics and appears to be consistent across populations using routine clinical data and limited observation.     

Pharmacokinetics, safety, and biologic effects of azithromycin in extremely preterm infants at risk for ureaplasma colonization and bronchopulmonary dysplasia

Ureaplasma spp. respiratory tract colonization is a significant risk factor for bronchopulmonary dysplasia (BPD), a chronic lung disorder in preterm infants. As an initial step preparatory to future clinical trials to evaluate the clinical efficacy of azithromycin to prevent BPD, the authors characterized the pharmacokinetics, safety, and biological effects of a single intravenous dose of azithromycin (10 mg/kg) in preterm neonates (n = 12) 24 to 28 weeks gestation at risk for Ureaplasma infection and BPD. A 2-compartment structural model with the clearance and volume of peripheral compartment (V2) allometrically scaled on body weight (WT) best described the pharmacokinetics of azithromycin in preterm neonates. The estimated parameters were clearance [0.18 L/h × WT(kg)(0.75)], intercompartmental clearance [1.0 L/h], volume of distribution of central compartment [0.93 L], and V2 [14.2 L × WT(kg)]. There were no serious adverse events attributed to azithromycin. A single dose of azithromycin did not suppress inflammatory cytokines or myeloperoxidase activity in tracheal aspirates. These results demonstrated the safety of azithromycin and developed a pharmacokinetic model that is useful for future simulation-based clinical trials for eradicating Ureaplasma and preventing BPD in preterm neonates.     

The pharmacokinetics of theophylline in premature neonates during the first few days after birth

The aims of the study were to estimate the pharmacokinetic parameters, clearance rate (CL), and volume of distribution (V) of theophylline in premature neonates during the first few days after birth, and to identify factors contributing to interindividual variability. The authors obtained 263 serum concentrations from 105 apneic premature neonates receiving intravenous (IV) theophylline. Mean (SD) birth weight and postnatal ages were 1.3 (0.3) kg and 1.1 (0.3) days, respectively. The data were analyzed using the nonlinear mixed effects model (NONMEM). A one-compartment model with first order elimination was used. The final models were: CL (L/h) = 0.006 * WGT 0.75 * P, V (L) = 0.63 * WGT, WGT = weight (kg) P = 1.47 with oxygen support and 1.0 without oxygen support. The CL in the study population was low, resulting in long half-lives. After inclusion of the above covariates, as well as interoccasion variability, the interindividual variability in CL was 56% and in V was 47%. Interoccasion variability in CL and V was 34% and 35% respectively. Theophylline pharmacokinetics are variable in the premature neonate during the first week of life, and this high variability makes it difficult to predict drug concentrations with the same degree of accuracy as in other populations.     

Population pharmacokinetic modelling of Emfilermin (recombinant human leukaemia inhibitory factor, r-hLIF) in healthy postmenopausal women and in infertile patients undergoing in vitro fertilization and embryo transfer

AIMS: The aim of this analysis was to develop a population pharmacokinetic model for Emfilermin (recombinant human leukaemia inhibitory factor, r-hLIF) following subcutaneous administration to healthy postmenopausal women and to infertile patients undergoing in vitro fertilization and embryo transfer (IVF-ET). METHODS: Data from three studies, a single and a repeat dose Phase I study in postmenopausal women as well as a proof of concept study in patients undergoing in vitro fertilization and embryo transfer were combined and analyzed. The structural pharmacokinetic model was developed using the rich data from the Phase I studies and the full pharmacostatistical model was then derived using all the data. RESULTS: The pharmacokinetics of r-hLIF after repeated subcutaneous administration were described by a one-compartment disposition model with a zero order input. The duration of the absorption phase was short (0.8 h) and invariant. The apparent clearance in postmenopausal women was 57 l h(-1) (CV = 17%). In in vitro fertilization and embryo transfer patients, the apparent clearance was decreased by 35% compared with postmenopausal women. The apparent volume of distribution was 235 l (interindividual CV = 28%) and exhibited an interoccasion variability of 23%. It increased (for weight above 62 kg) or decreased (for weight below 62 kg) by 29% for every 10 kg body weight. The median posthoc estimates of apparent clearance and volume of distribution and their variability were consistent with the population estimates. In postmenopausal women, the results were consistent with those obtained by noncompartmental analysis. The residual variability on r-hLIF serum concentrations was 20%. CONCLUSIONS: The pharmacokinetics of r-hLIF after repeated SC administration were described by a one compartment disposition model, with zero order input, in postmenopausal women and those undergoing IVF or intracytoplasmic sperm injection and embryo transfer. Absorption of r-hLIF was rapid as was its subsequent clearance. The apparent volume of distribution of r-hLIF was moderate to high, depended on body weight and showed interoccasion variability.     

Orogastric and intravenous indomethacin administration to very premature neonates with patent ductus arteriosus: population pharmacokinetics, absolute bioavailability, and treatment outcome

A population pharmacokinetic model was developed after administration of orogastric and/or intravenous indomethacin for the treatment of patent ductus arteriosus in preterm infants. Plasma indomethacin concentrations (n=227) were obtained from 90 preterm infants of median gestational age 27 weeks, mean postnatal age of 12 days, and a mean current weight (WT) of 1010 g. Infants received one to three courses of indomethacin (0.1 mg/kg per day for 6 days). A one-compartment model was fitted to the data to obtain estimates of clearance (CL), volume of distribution (V), absorption rate constant (Ka) and orogastric bioavailability (F), using NONMEM. Model robustness was assessed by bootstrapping with replacement (500 samples). The structural model was: CL (L/h)=0.0166 (WT / 0.936)1.54; V (L)=0.484 (WT / 0.936)1.41; F=0.986; Ka (h(-1))=0.786. The interindividual variability for CL and V was 57.7% and 45.6%, respectively. There remained considerable residual unexplained variability (45.4%). Mean (range) conditional estimates from individual infants for CL, V, and elimination half-life were 18.9 (4.7-45.5) mL/h/kg, 509 (191-1120) mL/kg, and 20.0 (12.0-37.3) hours, respectively. Complete ductus closure occurred in 67% of patients. Infants of lower gestational age or birth weight had less chance of successful ductal closure. There was no obvious dose-response relationship between systemic exposure to varying plasma indomethacin concentrations and ductus closure, which does not support individualized indomethacin dosing based on monitoring to a target plasma concentration.     

Population pharmacokinetics of intramuscular gentamicin administered to young infants with suspected severe sepsis in Kenya

AIMS: To determine the population pharmacokinetics of intramuscular (i.m.) gentamicin in African infants with suspected severe sepsis. METHODS: Samples were withdrawn 1 h after a single i.m. injection of 8 mg x kg(-1) gentamicin and the next morning prior to any further dosing. Concentration-time data were analysed with the population pharmacokinetic package NONMEM. Data were fitted using a one-compartment model with a log-normal model for interindividual variability and an additive residual error model. The influence of a range of clinical characteristics was tested on the pharmacokinetics of intramuscular gentamicin and the effect of incorporating interindividual variability on bioavailability was examined. RESULTS: The data set comprised 107 patients and 203 concentrations. Peak concentrations ranged from 3.0 mg x L(-1) to 19.8 mg x L(-1) (median 10.6 mg x L(-1)) and 'next day' samples from 0.3 mg x L(-1) to 6.2 mg x L(-1).The best models were clearance/bioavailability (CL) (L x h(-1)) = 0.0913 x weight (kg) x (age (days) + 1)/11)0.130 and volume of distribution/bioavailability (V) = 2.02 x (1 + 0.277 x (weight -3)). Therefore, an infant with the median weight of 3 kg and age 10 days would have a predicted CL of 0.274 L x h(-1) and V of 2.02 L. Interindividual variability in CL was 40% and in V was 42%. This model required a term for covariance between CL and V. When variability in bioavailability was introduced as an alternative model, interindividual variability in CL was 22%, in V 18% and in relative bioavailability 36%. CONCLUSIONS: Intramuscular administration of 8 mg x kg(-1) gentamicin daily to infants gives mean 1 h peak concentration of 10.6 mg x L(-1) and a trough concentration of less than 2 mg x L(-1). Wide variability in the peak concentration may reflect variable absorption rate or bioavailability.     

Development and validation of a population pharmacokinetic model for ritonavir used as a booster or as an antiviral agent in HIV-1-infected patients

AIMS: The aim of this study was to develop and validate a population pharmacokinetic model of ritonavir, used as an antiviral agent or as a booster, in a large patient population and to identify factors influencing its pharmacokinetics. METHODS: Ambulatory HIV-1-infected patients from the outpatient clinic of the Slotervaart Hospital, Amsterdam, the Netherlands, who were being treated with a ritonavir-containing regimen were included. During regular visits, blood samples were collected for the determination of ritonavir plasma concentrations and several clinical chemistry parameters. Furthermore, complete pharmacokinetic curves were available in some patients. Single and multiple compartment models with zero-order and first-order absorption, with and without absorption lag-time, with linear and nonlinear elimination were tested, using nonlinear mixed effect modelling (NONMEM). Pharmacokinetic parameters and interindividual, interoccasion and residual variability were estimated. In addition, the influence of several factors (e.g. patient characteristics, comedication) on the pharmacokinetics of ritonavir was explored. RESULTS: From 186 patients 505 ritonavir plasma concentrations at a single time-point and 55 full pharmacokinetic profiles were available, resulting in a database of 1228 plasma ritonavir concentrations. In total 62% of the patients used ritonavir as a booster of their protease inhibitor containing antiretroviral regimen. First order absorption in combination with one-compartment disposition best described the pharmacokinetics of ritonavir. Clearance, volume of distribution and absorption rate constant were 10.5 l h(-1) (95% prediction interval (95% PI) 9.38-11.7), 96.6 l (95% PI 67.2-121) and 0.871 h(-1) (95% PI 0.429-1.47), respectively, with 38.3%, 80.0% and 169% interindividual variability, respectively. The interoccasion variability in the apparent bioavailability was 59.1%. The concomitant use of lopinavir resulted in a 2.7-fold increase in the clearance of ritonavir (P value < 0.001). No patients characteristics influenced the pharmacokinetics of ritonavir. CONCLUSIONS: The pharmacokinetic parameters of ritonavir were adequately described by our population pharmacokinetic model. Concomitant use of the protease inhibitor lopinavir strongly influenced the pharmacokinetics of ritonavir. The model has been validated and can be used for further investigation of the interaction between ritonavir and other protease inhibitors.     

Population kinetics of tobramycin in neonates

The population kinetics of tobramycin were studied in 140 neonates (100/40 patients for the index/validation groups, respectively) of 30 to 42 weeks' gestational age and 0.8 to 4.25 kg current body weight in their first 2 weeks of life, undergoing routine therapeutic drug monitoring of their tobramycin serum levels. The 365 tobramycin concentration measurements obtained were analyzed by use of NONMEM according to a one-compartment open model with zero-order absorption and first-order elimination. The effect of a variety of demographic, developmental, and clinical factors (gender, height, birth weight, current weight, gestational age, postnatal age, postconceptional age, and serum creatinine concentration) on clearance and volume of distribution was investigated. Forward selection and backward elimination regression identified significant covariates. The final pharmacostatistical model with influential covariates was as follows (full population): clearance (L/h) = 0.0508 x current weight (kg), multiplied by 0.843 if birth weight was 2.5 kg or less (low-birthweight infants), and volume of distribution (L) = 0.533 x current weight (kg). Using the proportional error model for the random-effects parameters, interindividual variability for clearance and for volume of distribution was determined to be 25.8% and 21.9%, respectively, and the residual variability was 19.2%. In this study, the use of the NONMEM gave significant and consistent information on the pharmacokinetics and the determinants of the pharmacokinetic variability of tobramycin in neonates when compared with available bibliographic information. Moreover, the final population pharmacokinetic model may be used to design a priori recommendations for tobramycin and to improve the dosing readjustments through Bayesian estimation.     

Limited predictability of amikacin clearance in extreme premature neonates at birth

AIM: Identify and quantify factors describing variability of amikacin clearance in preterm neonates at birth. METHODS: Population pharmacokinetics of amikacin were estimated in a cohort of 205 extreme preterm neonates [post conception age (PCA) 27.8, SD 1.8, range 24-30 weeks; weight 1.07, SD 0.34, range 0.45-1.98 kg, postnatal age < 72 h]. Covariate analysis included weight, PCA, Apgar score, prophylactic administration of a nonsteroidal anti-inflammatory drug (NSAID) to the neonate, maternal indomethacin and betamethasone administration, and chorioamnionitis. RESULTS: A one-compartment linear disposition model with zero order input (0.3 h i.v. infusion) and first-order elimination was used. The population parameter estimate for volume of distribution (V) was 40.2 l per 70 kg. Clearance (CL) increased from 0.486 l h(-1) per 70 kg at 24 weeks PCA to 0.940 l h(-1) per 70 kg by 30 weeks PCA. The population parameter variability (PPV) for CL and V was 0.336 and 0.451. The use of a NSAID (either aspirin or ibuprofen) in the first day of life reduced amikacin clearance by 22%. Overall 65% of the variability of CL was predictable. Weight explained 48%, PCA 15% and NSAIDs 2%. CONCLUSIONS: Size and post-conception age are the major contributors to clearance variability in extreme premature neonates (<31 weeks PCA). The large (35% of total) unexplained variability in clearance reinforces the need for target concentration intervention to reduce variability in exposure to a safe and effective range.     

The population pharmacokinetics of theophylline in neonates and young infants

The population pharmacokinetics of theophylline were evaluated using 391 theophylline serum concentration measurements from 108 neonates and young infants (postnatal age 0-26 weeks), who received theophylline for the treatment of neonatal apnea. A one-compartment pharmacokinetic model with first-order elimination was used, with intravenous aminophylline and oral theophylline administration modeled as zero-order infusions. The effect of a variety of developmental and demographic factors on clearance (CL) and volume (V) were investigated. Hypothesis testing to evaluate potentially significant factors produced a final model in which clearance was based on weight (kg) raised to an exponential power and postnatal age (weeks), with CL (ml/hr) = 17.5 (weight)1.28 + 1.17 (postnatal age). Clearance was reduced by 12% for patients receiving parenteral nutrition. Volume of distribution in this population was adequately described using only weight, with V (L) = 0.858 L/kg. Bioavailability of orally administered drug was not significantly less than unity. Interindividual variability in clearance was modest, with a coefficient of variation for clearance of 16%. An estimate of interindividual variability in volume could not be obtained. As a measure of residual variability in theophylline serum concentrations, the coefficients of variation for theophylline serum concentrations of 5.0, 10.0, and 13.0 mg/L were found to be approximately, 25, 12, and 9%, respectively. The identification of influential patient factors and the quantification of their influence on theophylline disposition allow for a priori estimates of theophylline pharmacokinetic parameters in these patients.     

Population Pharmacokinetics of Tirilazad: Effects of Weight,Gender, Concomitant Phenytoin,and Subarachnoid Hemorrhage

Purpose. Data collected during Phase I and II in the development of tirilazad were pooled and analyzed using nonlinear mixed effects models to assess covariates which might affect tirilazad pharmacokinetics. Methods. Four single dose and five multiple dose studies in normal volunteers were combined with two multiple dose studies performed in patients with subarachnoid hemorrhage (SAH) to identify factors related to intersubject variability in clearance (CL) and central compartment volume (Vc). Data from 253 subjects, which consisted of 7,219 tirilazad concentrations, were analyzed. The effects of weight, gender, patient versus volunteer status, and phenytoin use were evaluated. Results. Relative to male volunteers not receiving concomitant phenytoin, significant effects on clearance included: a 46% increase in volunteers receiving phenytoin, and an 82% increase in clearance associated with SAH patients (all of whom received phenytoin). Significant effects on Vc were: a 26% increase for female volunteers not receiving phenytoin, a 12% decrease for volunteers receiving concomitant phenytoin, a 152% increase for male SAH patients, and a 270% increase for female SAH patients. Incorporating patient covariate effects substantially reduced the interindividual variability (from 27.9% to 24.7% for clearance and from 48.2% to 37.5% for Vc). Residual variability was estimated at 66% coefficient of variation (CV) in SAH patients and at 22–48% CV over the range of predicted concentrations in normal volunteers. Conclusions. The most important factors affecting tirilazad pharmacokinetics are the administration of phenytoin (increased CL) and SAH (increased Vc and residual variability). The effect of gender on tirilazad pharmacokinetics was modest.     

Prediction of the clearance of eleven drugs and associated variability in neonates, infants and children

BACKGROUND: Prediction of the exposure of neonates, infants and children to xenobiotics is likely to be more successful using physiologically based pharmacokinetic models than simplistic allometric scaling, particularly in younger children. However, such models require comprehensive information on the ontogeny of anatomical, physiological and biochemical variables; data that are not available from single sources.The Simcyp software integrates demographic, genetic, physiological and pathological information on adults with in vitro data on human drug metabolism and transport to predict population distributions of drug clearance (CL) and the extent of metabolic drug-drug interactions. The algorithms have now been extended to predict clearance and its variability in paediatric populations by incorporating information on developmental physiology and the ontogeny of specific cytochrome P450s. METHODS: Values of the clearance (median and variability) of 11 drugs (midazolam [oral and intravenous], caffeine, carbamazepine, cisapride, theophylline, diclofenac, omeprazole, S-warfarin, phenytoin, gentamicin and vancomycin) were predicted for 2,000 virtual subjects (birth to 18 years). In vitro enzyme pharmacokinetic parameters (maximum rate of metabolism [Vmax] and Michaelis-Menten constant [Km]) and in vivo clearance data were obtained from the literature. RESULTS: In neonates 70% (7/10) of predicted median clearance values were within 2-fold of the observed values. Corresponding results for infants, children and adolescents were 100% (9/9), 89% (17/19) and 94% (17/18), respectively. Predicted variability (95% confidence interval) was within 2-fold of the observed values in 70% (7/10), 67% (6/9), 63% (12/19) and 55% (10/18) of cases, respectively. The accuracy of the physiologically based model incorporated in the Simcyp software was superior to that of simple allometry, especially in children <2 years old. CONCLUSION: The in silico prediction of pharmacokinetic behaviour in paediatric patients is not intended to replace clinical studies. However, it provides a valuable aid to decision-making with regard to first-time dosing in children and study design. The clinical study then becomes 'confirmatory' rather than 'exploratory'.     

Population pharmacokinetics of cyclosporine in cardiopulmonary transplant recipients

A population pharmacokinetic analysis of cyclosporine (CsA) was performed, and the influence of covariates on CsA oral clearance and relative bioavailability was investigated. Data from 48 recipients of heart-lung (n = 21) or single (n = 18) or double (n = 9) lung transplant were included in the study. Patients received oral CsA as either a conventional formulation (Sandimmune) or a microemulsion (Neoral). Steady-state CsA concentrations were measured before and at approximately 2 and 6 hours after the morning dose of CsA at the end of weeks 1, 2, 3, 4, 13, 26, 39, and 52 posttransplantation. A total of 1004 CsA concentration observations were analyzed using mixed effects-modeling (NONMEM). A 1-compartment pharmacokinetic model and first-order oral absorption were used to fit the data. The absorption rate constants were fixed at 0.25 L/h for Sandimmune and 1.35 L/h for Neoral formulations. Oral clearance (CL/F) was estimated to be 22.1 L/h (95% confidence intervals [CI] 19.5-24.7 L/h). Itraconazole (ITRA), cystic fibrosis (CF), and weight (WT) were identified as significant covariates for CL/F according to the final model: CL/F = 22.1 - 11.3 x ITRA + 23.5 x CF + 0.129 x (WT - 58.7) L/h; where ITRA = 1 if the patient was taking concomitant itraconazole, otherwise 0; CF = 1 if the patient had cystic fibrosis, otherwise CF = 0; and WT is patient weight in kilograms. The relative oral bioavailability of Sandimmune to Neoral was 0.82. The bioavailability of both preparations increased during the first month posttransplantation. Age, gender, and type of transplant (single, double, or heart-lung) were not identified as significant covariates for CsA clearance. The population pharmacokinetic model developed identified some sources of variability in CsA pharmacokinetics; however, an appreciable degree of variability is still present in this patient population.     

Population pharmacokinetics of efavirenz in an unselected cohort of HIV-1-infected individuals

OBJECTIVE: The aim of this study was to characterise the population pharmacokinetics of efavirenz in a representative patient population and to identify patient characteristics influencing the pharmacokinetics of efavirenz, with the ultimate goal of further developing techniques that can be applied to optimise therapeutic drug monitoring of antiretroviral agents. METHODS: Ambulatory HIV-1-infected patients using an efavirenz-containing regimen were included. During regular visits, blood samples were collected for efavirenz plasma concentrations and clinical chemistry parameters. Concentrations of efavirenz were quantitatively assessed by a validated high-performance liquid chromatographic with ultraviolet detection method. Using nonlinear mixed-effect modelling (NONMEM), the pharmacokinetics of efavirenz were described. Disposition of efavirenz was described by a two-compartment model and absorption was modelled using a chain of three transition compartments. Apparent clearance (CL/F), volume of distribution after oral administration (V(d)/F), intercompartmental clearance, the peripheral volume of distribution and the intercompartmental transition rate constant (k(tr)) were estimated. Furthermore, interindividual, interoccasion and residual variability were estimated. The influence of patient characteristics on the pharmacokinetic parameters of efavirenz was explored. RESULTS: From 172 patients, 40 full pharmacokinetic curves and 315 efavirenz plasma concentrations at a single timepoint were available, resulting in a database of 1009 efavirenz plasma concentrations. CL/F, V(d)/F, and k(tr) were 11.7 L/h (4.3% relative standard error [RSE]), 189L (14.6% RSE) and 3.07 h(-1) (11.2% RSE), respectively. Residual variability in the model was composed of 0.14 mg/L additive error and 8.85% proportional error. Asian race and baseline total bilirubin (TBR) increased the relative bioavailability of efavirenz by 56% and 57%, respectively. No significant covariates were found for CL/F or V(d)/F. CONCLUSION: The pharmacokinetic parameters of efavirenz were adequately described with the developed population pharmacokinetic model. Asian race and baseline TBR were found to be significantly correlated with the bioavailability of efavirenz. The described model will be an essential tool in further optimisation of efavirenz-containing antiretroviral therapy, e.g. by the use of Bayesian estimation of individual pharmacokinetic parameters.     

Population pharmacokinetics of rectal theophylline in neonates

The population pharmacokinetics of theophylline were studied in 35 neonates receiving aminophylline suppositories for the treatment of apnoea of prematurity. Routinely measured theophylline serum concentrations (n = 138, range 3-20 mg/L) were modelled in NONMEM according to a one-compartment model. The influence of a number of clinical and demographic factors, e.g., weight (range 0.8-2.5 kg) and postnatal age (2-80 days), on clearance/bioavailability (CL/F) and volume/bioavailability (V/F) was investigated. Both these parameters were found to significantly correlate to weight alone in a directly proportional manner: CL/F = 40 +/- 2 ml/h/kg and V/F = 1.3 +/- 0.2 L/kg. The absorption was best described by a first-order process, having a half-life of 1.6 +/- 0.7 h. The interindividual variability in CL/F was 25%, whereas the same estimates in V/F and in the first-order absorption rate constant could not be obtained. The residual variability in theophylline concentrations was modelled with additive error with an estimated standard deviation of 1.78 mg/L. From these results, it was concluded that rectal administration of aminophylline in neonates is a therapeutically acceptable alternative to oral administration. The convenience gained by rectal, compared to oral, administrations may compensate, in many instances, for the possibly slightly higher variability in CL/F of the former.     

The effect of CYP3A5 and MDR1 polymorphic expression on cyclosporine oral disposition in renal transplant patients

Variability in CYP3A (CYP3A4/5) and P-glycoprotein (human MDR1 gene product) activity underlies interindividual differences in oral cyclosporine (CsA) bioavailability. Racial differences in polymorphic expression of CYP3A5 and MDR1 may explain observed interracial variability in oral bioavailability. Our objective was to evaluate the effect of CYP3A5 and MDR1 polymorphic expression on CsA oral disposition. Steady-state plasma concentration profiles (n = 19) were sampled in renal transplant recipients receiving concentration-adjusted CsA maintenance therapy. CsA plasma concentrations were measured by fluorescence polarization immunoassay. CYP3A5 and MDR1 genotypes were determined by real-time polymerase chain reaction. Noncompartmental pharmacokinetic analysis and nonlinear mixed-effects modeling (NONMEM) were performed to assess the effect of genotype on CsA pharmacokinetics. MDR1 C3435T genotype was identified as the best predictor of CsA systemic exposure. CsA oral clearance was significantly higher in subjects who carried at least one 3435T allele compared to homozygous wild-type individuals (40.0 +/- 2.2 vs. 26.4 +/- 3.1 L/h, p = 0.007). MDR1 C3435T genotype accounted for 43% of the interindividual variability of CsA oral clearance in the study population after accounting for interoccasion variability. The authors were unable to independently assess whether CYP3A5 correlated with any CsA pharmacokinetic parameter since all CYP3A5 nonexpressors were also 3435T allele carriers. MDR1 3435T allele carriers have enhanced oral clearance compared to individuals with the CC genotype. The frequency of the 3435T allele is lower in African Americans compared to Caucasians. Thus, the MDR1 C3435T genotype offers a potential mechanistic basis to explain interracial differences in CsA oral bioavailability. Further studies are needed to explore the relationship between CYP3A5 and MDR1 genotype and phenotype.     

Population pharmacokinetics of liposomal daunorubicin in children

AIMS: To investigate the population pharmacokinetics of daunorubicin in children after administration of liposomal daunorubicin (Daunoxome). METHODS: Plasma samples from 19 children with relapsed acute myeloic leukaemia and five children with other malignancies were collected. Daunoxome was administered as a 1- to 2.5 h infusion with doses ranging from 30 to 60 mg m(-2). Overall, 214 samples were analysed for daunorubicin using capillary electrophoresis, and population pharmacokinetic modelling was performed using NONMEM. RESULTS: The data were best described by a one compartment model. Inclusion of interoccasion variability in the model (16.7% for clearance) improved strongly the precision of the estimates. The inclusion of body surface area or height as a covariate decreased interindividual variability. However, the best fit was obtained using the absolute dose, and when weight was included as a covariate for clearance (CL) and volume of distribution (V ). The final parameter estimates were: CL 6.41 ml h(-1) kg(-1) +/- 0.5 51% and V 65.4 ml kg(-1) +/- 0.5 27% (population mean +/- 0.5 interindividual variability). The area under the curve at a dose of 60 mg m(-2) was 231 mg l (-1)h. CONCLUSIONS: In comparison with free daunorubicin, Daunoxome shows a low volume of distribution, a lower clearance and a lower interindividual variability in these parameters. This might be advantageous in reducing the variability in exposure to the drug.     

Population pharmacokinetics of tenofovir in AIDS patients

The interindividual variability of tenofovir pharmacokinetics in HIV+ patients is quite large, but the sources of variability are incompletely understood. Intraindividual variability has not been characterized, although it may have an impact on efficacy and therapeutic drug monitoring. The aims of the study were to estimate intraindividual variability of tenofovir clearance and to assess interactions with associated antiviral drugs. Tenofovir concentrations (median 2; range, 1-5) were measured in 175 patients during several dosing intervals. Covariates and dosing regimen of associated antiretroviral drugs were recorded prospectively. The data were analyzed by a population approach. The final model was a 2-compartment model with first-order absorption rate. The elimination clearance was found to be related to the ratio of body weight to serum creatinine. Among the 15 drugs coadministered, no interaction on tenofovir kinetics was significant. The global variability of CL/F, after accounting for variability to variation of body weight and serum creatinine, was about 50%, with 20% due to interindividual variability and 30% due to interoccasion variability. In a few patients, clearance (and AUC) could vary by a factor of 2 between occasions. The interoccasion variability was not related to the delay between occasions. In the context of drug monitoring, for a given patient, the dose should not be adapted unless the variation of concentration between 2 occasions is large, or the 24-hour trough concentration at steady state is lower than 12 microg/L.