Ultra rapid lispro (Lyumjev®) shortens time to recovery from hyperglycaemia compared to Humalog® in individuals with type 1 diabetes on continuous subcutaneous insulin infusion.

AIMS: To compare the time to hyperglycaemia recovery after ultra rapid lispro (URLi; Lyumjev®) versus Humalog in a randomized, double-blind crossover study. MATERIALS AND METHODS: Thirty-two adults with type 1 diabetes on continuous subcutaneous insulin infusion participated in two periods: each period included hyperglycaemia induced by a missed mealtime bolus (day 1) and by suspension of basal insulin delivery (day 2). When hyperglycaemia [plasma glucose (PG) >240 mg/dl] occurred, a correction bolus of URLi or Humalog was given and time to hyperglycaemia recovery (PG = 140 mg/dl), pharmacokinetics and glucodynamics were compared. RESULTS: Following a missed mealtime bolus, URLi significantly reduced maximum PG (-13 mg/dl; p = .02), and produced numerically more rapid decline in PG (23 mg/dl/h; p = .07), and faster recovery from hyperglycaemia (-23 min; p = .1) versus Humalog, although differences were not significant. Following basal suspension, URLi significantly reduced maximum PG (-6 mg/dl; p = .02), and produced faster PG decline (24 mg/dl/h; p < .001) and faster recovery from hyperglycaemia (-16 min; p < .01) vs. Humalog. Following a correction bolus of URLi, accelerated insulin lispro absorption was observed versus Humalog: early 50% tmax was reduced by 6 or 12 min, and AUC0-15min was increased 2.5- or 4.3-fold after correction boluses by subcutaneous infusion (day 1) or injection (day 2), respectively (all p < .001). CONCLUSIONS: During episodes of hyperglycaemia commonly experienced in people with type 1 diabetes, URLi provided a faster recovery versus Humalog from a missed mealtime bolus or during basal insulin suspension. URLi shows significant acceleration of insulin absorption versus Humalog when boluses are administered by subcutaneous infusion or injection.

Model-informed precision dosing for alemtuzumab in paediatric and young adult patients undergoing allogeneic haematopoietic cell transplantation.

Alemtuzumab is a lymphodepleting monoclonal antibody utilized in conditioning regimens for allogeneic haematopoietic cell transplantation (HCT). A recently proposed therapeutic range of 0.15-0.6 µg/mL on the day of transplantation is associated with better HCT outcomes. The purpose of this study was to characterize alemtuzumab population pharmacokinetic/pharmacodynamic (PK/PD) and to propose individualized subcutaneous dosing schemes to achieve this optimal level for paediatric patients. METHODS: Alemtuzumab concentration and absolute lymphocyte count (ALC) profiles were obtained from 29 paediatric and young adult patients (median age 6.4 y; range 0.28-21.4 y) with nonmalignant disorders undergoing HCT. PK/PD analyses were performed using nonlinear mixed effects modelling. Monte Carlo simulation was conducted to evaluate different improved dosing approaches. RESULTS: A one-compartment model with sequential zero- and first-order absorption adequately described subcutaneously administered alemtuzumab PK. Model fit was significantly improved by including allometrically scaled body weight on clearance (0.080 L/h/70 kg) and volume of distribution (17.4 L/70 kg). ALC reduction following subcutaneous alemtuzumab was swift. An inhibitory Emax model best characterized the relationship between alemtuzumab concentration and ALC. Emax and EC50 were estimated as 1.18 × 103 /µL and 0.045 µg/mL, respectively. The currently used per kg dosing was found to cause uneven alemtuzumab exposure across different age and weight cohorts. Simulations indicated optimal target achieving dose as allometry-based dose of 18 mg × (weight/70)0.75 or body surface area-based dose of 10 mg/m2 , divided over 3 days, with a potential individualized top-up dose; both of which yielded similar results. CONCLUSION: An allometry- or body surface area-based starting dosing regimen in combination with individualized Bayesian PK estimation using concentration feedback is proposed for alemtuzumab precision dosing in children undergoing allogeneic HCT.

Test-dose pharmacokinetics guided melphalan dose adjustment in reduced intensity conditioning allogeneic transplant for non-malignant disorders.

AIMS: We studied melphalan pharmacokinetics (PK) and feasibility of melphalan full-dose adjustment based on test-dose PK in children and young adults with non-malignant disorders (NMD) undergoing allogeneic hematopoietic cell transplantation (HCT) using reduced intensity conditioning (RIC) containing alemtuzumab, fludarabine and melphalan. METHODS: Patients received test-dose melphalan (10% of planned full-dose) prior to conditioning. Blood samples for PK were obtained around test and full-dose melphalan (140 mg/m2 or 4.7 mg/kg in patients <10 kg). Melphalan concentration was measured by liquid chromatography electrospray ionization tandem mass-spectrometry assay and data were analysed using a population-PK model and Bayesian estimation. Test and full-dose melphalan clearance estimates were evaluated by pairwise Wilcoxon test and Bland-Altman plot. RESULTS: Twenty-four patients undergoing 25 transplants were included in the final analysis. Patients received standard full-dose melphalan in 17 transplants, with median area under the concentration-time curve (AUC) of 5.5 mg*h/L (range, 3.0-9.5 mg*h/L). Patients received test-dose melphalan in 23 transplants with a test-dose PK predicted full-dose AUC range of 2.9-16.8 mg*h/L. In seven transplants where patients had baseline organ impairment, test-dose PK predicted higher exposure for standard full-dose (median AUC 13.8 mg*h/L). Melphalan full-dose was adjusted in these patients, with achievement of desired target AUC (3.6-5.4 mg*h/L) and no excess toxicity. Mean ratio of test-dose clearance to full-dose clearance was 1.03. Twenty of 22 patients (91%) were within the 95% confidence intervals of the clearance ratio. CONCLUSION: Melphalan test-dose PK reliably predicts full-dose PK and allows for accurate adjustment of full-dose melphalan in RIC-HCT for NMD. This approach can avoid excess toxicity from increased systemic exposure, especially in patients with organ impairment.

Optimal Teicoplanin Dosing Regimen in Neonates and Children Developed by Leveraging Real-World Clinical Information.

BACKGROUND: Teicoplanin is a glycopeptide antibiotic used for the treatment of methicillin-resistant Staphylococcus aureus infections. To ensure successful target attainment, therapeutic drug monitoring-informed dosage adjustment is recommended. However, it relies on the experience of the clinician and the frequency of drug measurements. This study aimed to design a new optimal dosing regimen of teicoplanin with a maintenance dosing strategy for neonates and children based on their physiological characteristics. METHODS: Data from teicoplanin-treated patients (n = 214) were collected from electronic medical records. Covariate analyses were performed using population pharmacokinetic (PK) modeling with 399 serum teicoplanin concentrations from 48 neonates and 166 children. Multiple PK simulations were conducted to explore optimal dosing regimens that would allow control of the trough concentration to the target of 15-30 mg/L quicker than the current standard regimen. RESULTS: Allometrically scaled body weight, postmenstrual age (PMA), renal function, and serum albumin were implemented as substantial covariates for teicoplanin clearance in a two-compartment PK model. Covariate analyses and comprehensive simulation assessments recommended the following modifications to the current regimen: (1) decreased dose for premature babies (PMA ≤28 weeks), (2) decreased dose for children with renal dysfunction, and (3) increased dose for children (0.5-11 years) with an estimated glomerular filtration rate of ≥90 mL/min/1.73 m2. CONCLUSIONS: This study leverages real-world clinical information and proposes new optimal dosing regimens for teicoplanin in neonates and children through PK modeling and simulation analyses, taking into account the age, including PMA, and renal function of patients.

Teicoplanin physiologically based pharmacokinetic modeling offers a quantitative assessment of a theoretical influence of serum albumin and renal function on its disposition.

PURPOSE: Variability in teicoplanin pharmacokinetics has been explained by multiple factors such as body weight, renal function, and serum albumin level. To improve mechanistic understanding of the causes of variability, a physiologically based pharmacokinetic (PBPK) model can be used as a systematic platform. In this study, a PBPK model of teicoplanin was developed to quantitatively assess the effects of physiological changes due to disease status using virtual populations. METHODS: Predictive performance of the models was evaluated by comparing simulated and observed concentration-time profiles of teicoplanin. Subsequently, sensitivity analyses were conducted to identify potential factors contributing to individual differences in teicoplanin PK. RESULTS: The developed PBPK model generated concentration-time profiles that were comparable to clinical observations in healthy adults, including Caucasians and Japanese, and after single-dose and multiple-dose administration. The predicted PK parameters (i.e., Cmax, AUC, clearance) were within a two-fold range of the observed data in patients with renal impairments as well as healthy adults. Changes in total and unbound teicoplanin concentrations at 72 h, after various dosing regimens (tested 4-14 mg/kg q12h for three doses as a loading dose and then 4-14 mg/kg daily as a maintenance dose), were sensitive to renal function and serum albumin concentrations. CONCLUSION: The PBPK model of teicoplanin provides mechanistic insight into the factors altering its disposition and allows assessments of the theoretical and quantitative impact of individual changes in physiological parameters on its PK even when an actual assessment with adequate sample sizes of patients is challenging.

Population pharmacokinetic modelling of busulfan and the influence of body composition in paediatric Fanconi anaemia patients.

AIMS: Fanconi anaemia (FA) is a rare disorder characterized by progressive bone marrow failure that requires haematopoietic cell transplantation (HCT). Busulfan is used in conditioning regimens prior to HCT. Doses used in non-FA patients cause life-threatening toxicities in FA patients and data on busulfan pharmacokinetics (PK) in this population are limited. This study characterized busulfan PK in paediatric FA patients using population PK modelling and evaluated the effect of body composition on steady-state concentrations (Css ). METHODS: A total of 200 busulfan plasma concentrations in 29 FA patients from a recent study (Clinicaltrials.gov; NCT01082133) were available for population PK modelling. The effect of different body size-scaled doses and body compositions on Css was investigated using population PK modelling. RESULTS: Fat free mass (FFM) was identified as the best size descriptor in a two-compartment busulfan PK model in FA patients. Conventional dosing, based on an amount of busulfan per kilogram of total body mass, resulted in higher Css in FA patients with higher body mass index (BMI). A newly proposed FFM-based dosing strategy would eliminate the observed trend of higher concentrations in high BMI patients, and achieve consistent Css across a wide BMI spectrum. CONCLUSIONS: This is the first study to describe the population PK of busulfan in paediatric FA patients. The proposed model will facilitate PK model-informed precision dosing. FFM-based dosing is expected to improve the probability of achieving target Css , particularly in obese patients, while minimizing the risk of overdosing.

Model-Informed Bayesian Estimation Improves the Prediction of Morphine Exposure in Neonates and Infants.

BACKGROUND: Pain control in infants is an important clinical concern, with potential long-term adverse neurodevelopmental effects. Intravenous morphine is routinely administered for postoperative pain management; however, its dose-concentration-response relationship in neonates and infants has not been well characterized. Although the current literature provides dosing guidelines for the average infant, it fails to control for the large unexplained variability in morphine clearance and response in individual patients. Bayesian estimation can be used to control for some of this variability. The authors aimed to evaluate morphine pharmacokinetics (PKs) and exposure in critically ill neonates and infants receiving standard-of-care morphine therapy and compare a population-based approach to the model-informed Bayesian techniques. METHODS: The PKs and exposure of morphine and its active metabolites were evaluated in a prospective opportunistic PK study using 221 discarded blood samples from 57 critically ill neonates and infants in the neonatal intensive care unit. Thereafter, a population-based PK model was compared with a Bayesian adaptive control strategy to predict an individual's PK profile and morphine exposure over time. RESULTS: Among the critically ill neonates and infants, morphine clearance showed substantial variability with a 40-fold range (ie, 2.2 to 87.1, mean 23.7 L/h/70 kg). Compared with the observed morphine concentrations, the population-model based predictions had an R of 0.13, whereas the model-based Bayesian predictions had an R of 0.61. CONCLUSIONS: Model-informed Bayesian estimation is a better predictor of morphine exposure than PK models alone in critically ill neonates and infants. A large variability was also identified in morphine clearance. A further study is warranted to elucidate the predictive covariates and precision dosing strategies that use morphine concentration and pain scores as feedbacks.

Busulfan Pharmacokinetics and Precision Dosing: Are Patients with Fanconi Anemia Different?

It is well known that pharmacokinetics (PK)-guided busulfan (BU) dosing increases engraftment rates and lowers hepatotoxicity in patients undergoing hematopoietic cell transplantation (HCT). However, there are no published PK data in patients with Fanconi anemia (FA), who are known to have baseline DNA repair defect and related inherent sensitivity to chemotherapy. In our prospective, multi-institutional study of alternative donor HCT for FA using chemotherapy-only conditioning, we replaced the single dose of total-body irradiation with BU at initial doses of 0.8 to 1.0 mg/kg and 0.6 to 0.8 mg/kg given i.v. every 12 hours for 4 doses. Patients received the first dose of i.v. busulfan on day -8, and blood levels for PK were obtained. PK samples were drawn following completion of infusion. BU PK levels were collected at 2 hours, 2 hours and 15 minutes, and 4, 5, 6, and 8 hours from the start of infusion. The remaining 3 doses of BU were given on days -7 and -6. Thirty-seven patients with available BU PK data with a median age of 9.2 years (range, 4.3 to 44 years) are included in the final analyses. The overall BU PK profile in patients with FA is similar to non-FA patients after considering their body weight. In our cohort, a strong correlation between BU clearance and weight supports current practice of per kilogram dosing. However, not surprisingly, we show that the disease (ie, host) sensitivity related to FA is the main determinant of total dose of BU that can be safely administered to patients in this high-risk population. On the basis of our results, we propose an optimal BU concentration at steady-state level of ≤350 ng/mL (equivalent to total cumulative exposure of 16.4 mg*h/L for 4 doses over 2 days) for patients with FA undergoing HCT. To our knowledge, this is the first and largest report of prospective BU PK in patients with FA undergoing HCT, providing an optimal BU target cutoff to achieve stable donor engraftment while avoiding excessive toxicity.

Evidence of a clinically significant drug-drug interaction between cannabidiol and tacrolimus.

Cannabidiol (CBD), a major purified nonpsychoactive component of cannabis with anticonvulsant properties, was approved by the U.S. Food and Drug Administration (FDA) in June 2018 as an adjuvant treatment for refractory epilepsy (Epidiolex; GW Pharmaceuticals). CBD is metabolized by cytochrome P450 (CYP)3A4 and CYP2C19 with a growing body of evidence suggesting it is also a potent inhibitor of these pathways. We report for the first time a significant drug-drug interaction between the purified CBD product and tacrolimus. A participant in a CBD clinical trial for epilepsy who was also receiving tacrolimus showed an approximately 3-fold increase in dose-normalized tacrolimus concentrations while receiving 2000-2900 mg/day of CBD. Our report delineates an important concern for the transplant community with the increasing legalization of cannabis and advent of an FDA-approved CBD product. Larger studies are needed to better understand the impact of this drug-drug interaction in solid organ transplant recipients.

Adult and infant pharmacokinetic profiling of dihydrocodeine using physiologically based pharmacokinetic modeling.

We previously analysed the serum concentrations of dihydrocodeine in a 1-month-old infant with respiratory depression after being prescribed dihydrocodeine phosphate 2.0 mg/day divided t.i.d. for 2 days. The purpose was to develop a full physiologically based pharmacokinetic (PBPK) model that could account for these and other drug monitoring results. Based on experiments in Caco-2 cell monolayers, the effective permeability of dihydrocodeine in human jejunum was established as 1.28 × 10-4 cm/s. The in vitro Vmax /Km values for dihydrocodeine demethylation mediated by recombinant cytochrome P450 2D6 and 3A4 were 0.19 and 0.066 µl/min/pmol, respectively, and for dihydrocodeine 6-O-glucuronidation mediated by recombinant UGT2B4 and 2B7, the Vmax /Km values were 0.14 and 0.22 µl/min/mg protein, respectively. Renal clearance was calculated as 5.37 L/h on the total clearance value multiplied by the fraction recovered in urine. The reported plasma concentration-time profiles of dihydrocodeine after intravenous administration in healthy volunteers were used to adjust the tissue partitioning ratios. The developed model simulated the pharmacokinetic profiles of dihydrocodeine after single and multiple oral administrations reasonably well in the same population. Subsequently, the validated model was used to simulate pharmacokinetic profiles for five pediatric cases, including the 1-month-old Japanese boy and a 14-year-old Japanese girl who took an overdose of dihydrocodeine phosphate (37 mg). The simulated pharmacokinetic profiles for five virtual pediatric subjects matching the age, gender, and P450 2D6 phenotype of each case approximately reflected the observed values. These results suggested that our dihydrocodeine PBPK model reproduced the results of clinical cases reasonably well for subjects.

Micafungin antifungal prophylaxis in children undergoing HSCT: can we give higher doses, less frequently? A pharmacokinetic study.

Background: Micafungin has a distinct advantage for antifungal prophylaxis in HSCT owing to its better safety profile, specifically in terms of hepatic and renal toxicity. In children, prophylactic micafungin is given as either 1 mg/kg every day or 3 mg/kg every other day. Objectives: We performed a prospective single-centre observational study that investigated the pharmacokinetics (PK) of a single 5 mg/kg dose of micafungin in young children undergoing HSCT, to ascertain the eventual feasibility of twice-weekly prophylactic administration. Methods: Nine children, ≤10 years of age undergoing HSCT, were enrolled and received a single intravenous dose of 5 mg/kg micafungin. Blood samples were obtained for PK analysis. Micafungin plasma concentration of >0.2 mg/L was chosen for target attainment (i.e. considered adequate prophylactic concentration). In addition, a population PK model was developed based on current and our previous PK study data. We also evaluated PK model-based simulation of PK profiles and target attainment using Monte Carlo simulation, for several dosing scenarios. Results: Mean clearance was 15.3 mL/h/kg (range 11.0-21.4 mL/h/kg) and the mean elimination half-life was 11.6 h (range 7.8-16.6 h). The mean concentration at 96 h was 0.11 mg/L (range 0.03-0.26 mg/L). Eleven percent (n = 1) of patients achieved target attainment at the end of 96 h. Simulation data showed that 1 mg/kg daily dosing and 3 mg/kg alternate-day dosing strategies achieved at least 99% and 81% target attainment, respectively, whereas a 5 mg/kg with 3 day-interval dosing strategy resulted in 64%, 72% and 84% target attainments in patients with body weights of 10, 20 and 30 kg, respectively. Conclusions: Micafungin at 5 mg/kg dosing did not achieve target attainment at the end of 96 h for antifungal prophylaxis in children undergoing HSCT. Simulation data suggest that a dosing strategy of micafungin at 5 mg/kg every 72 h is more likely to achieve target attainment in children with a higher body weight in comparison with children with a lower body weight. A cautious approach is advisable when using a high, but less frequent, dosing strategy in very young children.

Bioequivalence between innovator and generic tacrolimus in liver and kidney transplant recipients: A randomized, crossover clinical trial.

BACKGROUND: Although the generic drug approval process has a long-term successful track record, concerns remain for approval of narrow therapeutic index generic immunosuppressants, such as tacrolimus, in transplant recipients. Several professional transplant societies and publications have generated skepticism of the generic approval process. Three major areas of concern are that the pharmacokinetic properties of generic products and the innovator (that is, "brand") product in healthy volunteers may not reflect those in transplant recipients, bioequivalence between generic and innovator may not ensure bioequivalence between generics, and high-risk patients may have specific bioequivalence concerns. Such concerns have been fueled by anecdotal observations and retrospective and uncontrolled published studies, while well-designed, controlled prospective studies testing the validity of the regulatory bioequivalence testing approach for narrow therapeutic index immunosuppressants in transplant recipients have been lacking. Thus, the present study prospectively assesses bioequivalence between innovator tacrolimus and 2 generics in individuals with a kidney or liver transplant. METHODS AND FINDINGS: From December 2013 through October 2014, a prospective, replicate dosing, partially blinded, randomized, 3-treatment, 6-period crossover bioequivalence study was conducted at the University of Cincinnati in individuals with a kidney (n = 35) or liver transplant (n = 36). Abbreviated New Drug Applications (ANDA) data that included manufacturing and healthy individual pharmacokinetic data for all generics were evaluated to select the 2 most disparate generics from innovator, and these were named Generic Hi and Generic Lo. During the 8-week study period, pharmacokinetic studies assessed the bioequivalence of Generic Hi and Generic Lo with the Innovator tacrolimus and with each other. Bioequivalence of the major tacrolimus metabolite was also assessed. All products fell within the US Food and Drug Administration (FDA) average bioequivalence (ABE) acceptance criteria of a 90% confidence interval contained within the confidence limits of 80.00% and 125.00%. Within-subject variability was similar for the area under the curve (AUC) (range 12.11-15.81) and the concentration maximum (Cmax) (range 17.96-24.72) for all products. The within-subject variability was utilized to calculate the scaled average bioequivalence (SCABE) 90% confidence interval. The calculated SCABE 90% confidence interval was 84.65%-118.13% and 80.00%-125.00% for AUC and Cmax, respectively. The more stringent SCABE acceptance criteria were met for all product comparisons for AUC and Cmax in both individuals with a kidney transplant and those with a liver transplant. European Medicines Agency (EMA) acceptance criteria for narrow therapeutic index drugs were also met, with the only exception being in the case of Brand versus Generic Lo, in which the upper limits of the 90% confidence intervals were 111.30% (kidney) and 112.12% (liver). These were only slightly above the upper EMA acceptance criteria limit for an AUC of 111.11%. SCABE criteria were also met for the major tacrolimus metabolite 13-O-desmethyl tacrolimus for AUC, but it failed the EMA criterion. No acute rejections, no differences in renal function in all individuals, and no differences in liver function were observed in individuals with a liver transplant using the Tukey honest significant difference (HSD) test for multiple comparisons. Fifty-two percent and 65% of all individuals with a kidney or liver transplant, respectively, reported an adverse event. The Exact McNemar test for paired categorical data with adjustments for multiple comparisons was used to compare adverse event rates among the products. No statistically significant differences among any pairs of products were found for any adverse event code or for adverse events overall. Limitations of this study include that the observations were made under strictly controlled conditions that did not allow for the impact of nonadherence or feeding on the possible pharmacokinetic differences. Generic Hi and Lo were selected based upon bioequivalence data in healthy volunteers because no pharmacokinetic data in recipients were available for all products. The safety data should be interpreted in light of the small number of participants and the short observation periods. Lastly, only the 1 mg tacrolimus strength was utilized in this study. CONCLUSIONS: Using an innovative, controlled bioequivalence study design, we observed equivalence between tacrolimus innovator and 2 generic products as well as between 2 generic products in individuals after kidney or liver transplantation following current FDA bioequivalence metrics. These results support the position that bioequivalence for the narrow therapeutic index drug tacrolimus translates from healthy volunteers to individuals receiving a kidney or liver transplant and provides evidence that generic products that are bioequivalent with the innovator product are also bioequivalent to each other. TRIAL REGISTRATION: ClinicalTrials.gov NCT01889758.

Pretransplant Absolute Lymphocyte Counts Impact the Pharmacokinetics of Alemtuzumab.

Alemtuzumab is frequently used as part of reduced-intensity conditioning (RIC) regimens for allogeneic hematopoietic cell transplantation (HCT) in pediatric patients with nonmalignant diseases. We previously suggested an optimal day 0 targeted range of alemtuzumab, but there are no pediatric data regarding the pharmacokinetics (PK) of subcutaneous alemtuzumab to guide precision dosing trials. The goal of this study was to prospectively characterize alemtuzumab PK and to explore absolute lymphocyte count (ALC) as a predictor of interindividual variability. We prospectively enrolled 23 patients who received an alemtuzumab, fludarabine, and melphalan RIC regimen. Seventeen patients completed study and received 1 mg/kg alemtuzumab divided over 5 days subcutaneously, starting on day -14. The median age was 7 years (range, .5 to 18). Blood sampling for PK measurements and descriptive PK analyses were performed. The median maximum alemtuzumab concentration was 2.39 µg/mL (interquartile range, 1.98 to 2.92). The median terminal half-life was 5.2 days (interquartile range, 2.7 to 7.8). The median concentration at day 0 was 1.27 µg/mL (interquartile range, .35 to 1.51). Importantly, day 0 alemtuzumab levels and area under the curve negatively correlated with predose ALC and ALC area-time, respectively. In conclusion, we reported the PK of subcutaneous alemtuzumab given to pediatric allogeneic HCT patients and observed that almost all patients have persistence of lytic levels of alemtuzumab beyond day 0, at levels in excess of that needed to reduce the risk of acute graft-versus-host disease. Additionally, levels correlate with pretransplant ALC. These results will allow the development of population PK models for precision dosing trials.

Urinary kidney injury biomarkers and tobramycin clearance among children and young adults with cystic fibrosis: a population pharmacokinetic analysis.

BACKGROUND: Tobramycin is frequently used for treatment of bronchopneumonia in patients with cystic fibrosis (CF). Variability in tobramycin clearance (CL) is high in this population with few reliable approaches to guide dosing. OBJECTIVES: We sought to evaluate the pharmacokinetics of once-daily intravenous tobramycin in patients with CF and test the influence of covariates on tobramycin CL, including serum creatinine (SCr) and urinary biomarkers: neutrophil gelatinase-associated lipocalin (NGAL), retinol-binding protein (RBP) and kidney injury molecule-1 (KIM-1). METHODS: This was a prospective, observational cohort study of children/young adults with CF receiving once-daily intravenous tobramycin from October 2012 to May 2014 at Cincinnati Children's Hospital Medical Center. Therapeutic drug monitoring data were prospectively obtained. Population pharmacokinetic analyses were performed using non-linear mixed-effects modelling. RESULTS: Thirty-seven patients (median age 15.3 years, IQR 12.7-19.5) received 62 tobramycin courses. A one-compartment model with allometrically scaled weight for tobramycin CL and volume of distribution (V) best described the data. Urinary NGAL was associated with tobramycin CL (P < 0.001), as was urinary RBP (P < 0.001). SCr, estimated glomerular filtration rate and urinary KIM-1 were not significant covariates. The population pharmacokinetic parameter estimates were CL = 8.60 L/h/70 kg (relative standard error 4.3%) and V = 31.3 L/70 kg (relative standard error 4.7%). CONCLUSIONS: We describe urinary biomarkers as predictors of tobramycin CL using a population pharmacokinetic modelling approach. Our findings suggest that patient weight and urinary NGAL or RBP could be used to individualize tobramycin therapy in patients with CF.

Developmental Changes in Hepatic Organic Cation Transporter OCT1 Protein Expression from Neonates to Children.

Organic cation transporter 1 (OCT1) plays an important role in the disposition of clinically important drugs, and the capacity of OCT1 activity is presumed to be proportional to the protein expression level in organ tissues. Knowledge of OCT1 protein expression in children, especially neonates and small infants, is currently very limited. Here, we report on the characterization of OCT1 protein expression in neonatal, infant, and pediatric liver samples performed using immunoblot analysis. OCT1 protein expression was detected in liver samples from neonates as early as postnatal days 1 and 2. This youngest group showed significantly lower OCT1 expression normalized by glyceraldehyde-6-phosphate dehydrogenase (values given as means ± S.D. in arbitrary units; 0.03 ± 0.02, n = 7) compared with samples from patients aged 3 to 4 weeks (0.08 ± 0.03, n = 5, P < 0.01), 3 to 6 months (0.23 ± 0.15, n = 7, P < 0.01), 11 months to 1 year (0.42 ± 0.32, n = 6, P < 0.01), and 8 to 12 years (1.00 ± 0.44, n = 7, P < 0.01). These data demonstrate an age-dependent increase in OCT1 expression from birth up to 8 to 12 years of age, and the findings of this study contribute to the understanding of OCT1 functional capacity and its effect upon the disposition of OCT1 substrates in neonates and small infants.

Population pharmacokinetics of temsirolimus and sirolimus in children with recurrent solid tumours: a report from the Children's Oncology Group.

AIMS: Temsirolimus is an inhibitor of the mammalian target of rapamycin (mTOR). Pharmacokinetic (PK) characterization of temsirolimus in children is limited and there is no paediatric temsirolimus population PK model available. The objective of this study was to simultaneously characterize the PK of temsirolimus and its metabolite sirolimus in paediatric patients with recurrent solid or central nervous system tumours and to develop a population PK model. METHODS: The PK data for temsirolimus and sirolimus were collected as a part of a Children's Oncology Group phase I clinical trial in paediatric patients with recurrent solid tumours. Serial blood concentrations obtained from 19 patients participating in the PK portion of the study were used for the analysis. Population PK analysis was performed by nonlinear mixed effect modelling using NONMEM. RESULTS: A three-compartment model with zero-order infusion was found to best describe temsirolimus PK. Allometrically scaled body weight was included in the model to account for body size differences. Temsirolimus dose was identified as a significant covariate on clearance. A sirolimus metabolite formation model was developed and integrated with the temsirolimus model. A two-compartment structure model adequately described the sirolimus data. CONCLUSION: This study is the first to describe a population PK model of temsirolimus combined with sirolimus formation and disposition in paediatric patients. The developed model will facilitate PK model-based dose individualization of temsirolimus and the design of future clinical studies in children.

Pharmacokinetic and pharmacogenetic analysis of immunosuppressive agents after laparoscopic sleeve gastrectomy.

BACKGROUND: Severe obesity has been shown to limit access to renal transplantation in patients with end-stage renal disease (ESRD). Laparoscopic sleeve gastrectomy (LSG) has been performed in the ESRD population to assist in achieving waitlist and transplant eligibility. Little is known about how LSG impacts the bioequivalence of tacrolimus products and immunosuppression pharmacokinetics. METHODS: This was a prospective, open-label, single-dose, crossover, two-period pharmacokinetic (PK) study. The purpose of this study was to assess single-dose PK of immediate-release tacrolimus (IR-TAC), extended-release tacrolimus (ER-TAC), and mycophenolic acid (MPA) in adult ESRD patients post-LSG. RESULTS: Twenty-three subjects were included in the 24-hour PK assessments. The ratio of geometric means between ER-TAC and IR-TAC was 103.5% (90% CI; 89.6%-119.6%) for AUC0-24 and 92.5% (90% CI; 80.4%-106.4%) for Cmax . PK parameters were similar between ER-TAC and IR-TAC, except for Cmin (P=.004) and Cmax (P=.04). MPA AUC0-24 was similar when given with either ER-TAC or IR-TAC (P=.32). Patients expressing CYP3A5*1 genotypes had lower tacrolimus AUC0-24 values vs those with CYP3A5*3/*3 (IR-TACP<.001; ER-TACP=.008). Genotype did not impact MPA PK. CONCLUSION: Dose modification of immunosuppressants post-LSG may not be necessary aside from standard therapeutic drug monitoring.

Developmental pharmacokinetics of sirolimus: Implications for precision dosing in neonates and infants with complicated vascular anomalies.

BACKGROUND: Sirolimus has recently been shown to be efficacious and tolerable in pediatric patients with complicated vascular anomalies. Nevertheless, dosing information remains very limited especially for neonates and infants. The purpose of this study was to develop an age-appropriate sirolimus starting dosing regimen based on the developmental changes in drug elimination capacity using data collected in neonates and infants. PROCEDURE: A recently developed sirolimus maturation model [Emoto et al. CPT Pharmacometrics Syst Pharmacol, 2016] was used to simulate clearance estimates using realistic age and weight covariates for age cohorts aged 0-24 months. Next, predose concentrations at steady state were generated for each age cohort of neonates and infants. Dose requirements to attain predefined target trough concentration ranges (10-15 and 5-10 ng/ml) were simulated across the different age groups. Starting doses were chosen to maximize the likelihood of achieving sirolimus-targeted concentrations. RESULTS: The trajectory of simulated sirolimus clearances increased with age and was in agreement with the previous findings in the Phase 2 study. The proposed dosing regimens covered eight age cohorts and resulted in target attainment of more than 75-95% across selected regimens. CONCLUSIONS: This study identified age-appropriate sirolimus dosing regimens for neonates and infants. The algorithm in combination with therapeutic drug management will facilitate sirolimus precision dosing in young children with vascular anomalies. A prospective evaluation is being planned.

Mycophenolate mofetil-related leukopenia in children and young adults following kidney transplantation: Influence of genes and drugs.

MMF is commonly prescribed following kidney transplantation, yet its use is complicated by leukopenia. Understanding the genetics mediating this risk will help clinicians administer MMF safely. We evaluated 284 patients under 21 years of age for incidence and time course of MMF-related leukopenia and performed a candidate gene association study comparing the frequency of 26 SNPs between cases with MMF-related leukopenia and controls. We matched cases by induction, steroid duration, race, center, and age. We also evaluated the impact of induction and SNPs on time to leukopenia in all cases. Sixty-eight (24%) patients had MMF-related leukopenia, of which 59 consented for genotyping and 38 were matched with controls. Among matched pairs, no SNPs were associated with leukopenia. With non-depleting induction, UGT2B7-900A>G (rs7438135) was associated with increased risk of MMF-related leukopenia (P = .038). Time to leukopenia did not differ between patients by induction agent, but 2 SNPs (rs2228075, rs2278294) in IMPDH1 were associated with increased time to leukopenia. MMF-related leukopenia is common after transplantation. UGT2B7 may influence leukopenia risk especially in patients without lymphocyte-depleting induction. IMPDH1 may influence time course of leukopenia after transplant.

Measuring Medication Adherence in Pediatric Cancer: An Approach to Validation.

Objective: This study described the prospective relationship between pharmacological and behavioral measures of 6-mercaptopurine (6MP) medication adherence in a multisite cohort of pediatric patients diagnosed with cancer ( N = 139). Methods: Pharmacological measures (i.e., metabolite concentrations) assessed 6MP intake. Behavioral measures (e.g., electronic monitoring) described adherence patterns over time. Results: Three metabolite profiles were identified across 15 months: one group demonstrated low levels of both metabolites (40.8%) consistent with nonadherence and/or suboptimal therapy; two other groups demonstrated metabolite clusters indicative of adequate adherence (59.2%). Those patients whose metabolite profile demonstrated low levels of both metabolites had consistently lower behavioral adherence rates. Conclusions: To our knowledge, this was the first study to prospectively validate a pharmacological measure of medication adherence with a behavioral adherence measure in a relatively large sample of pediatric patients with cancer. Using multiple methods of adherence measurement could inform clinical care and target patients in need of intervention.