Using Real-World Data to Externally Evaluate Population Pharmacokinetic Models of Dexmedetomidine in Children and Infants.

Dexmedetomidine is a sedative used in both adults and off-label in children with considerable reported pharmacokinetic (PK) interindividual variability affecting drug exposure across populations. Several published models describe the population PKs of dexmedetomidine in neonates, infants, children, and adolescents, though very few have been externally evaluated. A prospective PK dataset of dexmedetomidine plasma concentrations in children and young adults aged 0.01-19.9 years was collected as part of a multicenter opportunistic PK study. A PubMed search of studies reporting dexmedetomidine PK identified five population PK models developed with data from demographically similar children that were selected for external validation. A total of 168 plasma concentrations from 102 children were compared with both population (PRED) and individualized (IPRED) predicted values from each of the five published models by quantitative and visual analyses using NONMEM (v7.3) and R (v4.1.3). Mean percent prediction errors from observed values ranged from -1% to 120% for PRED, and -24% to 60% for IPRED. The model by James et al, which was developed using similar "real-world" data, nearly met the generalizability criteria from IPRED predictions. Other models developed using clinical trial data may have been limited by inclusion/exclusion criteria and a less racially diverse population than this study's opportunistic dataset. The James model may represent a useful, but limited tool for model-informed dosing of hospitalized children.

Population Pharmacokinetics of Nirsevimab in Preterm and Term Infants.

Nirsevimab, a monoclonal antibody with an extended half-life, is approved for the prevention of respiratory syncytial virus (RSV) disease in all infants in Canada, the EU, Great Britain, and the USA. A population pharmacokinetics (PK) model was built to describe the PK of nirsevimab in preterm and term infants, and to evaluate the influence of covariates, including body weight and age, in infants. Nirsevimab PK was characterized by a 2-compartment model with first-order clearance (CL) and first-order absorption following intramuscular (IM) administration. The typical CL in a 5 kg infant was 3.4 mL/day. Body weight and postmenstrual age were the primary covariates on CL, with minor effects for race, second RSV season, and antidrug antibody status (deemed not clinically relevant). Congenital heart disease (CHD) and chronic lung disease (CLD) did not significantly impact nirsevimab PK. The final population PK model, based on 8987 PK observations from 2683 participants across 5 clinical trials, successfully predicted PK in an additional cohort of 967 healthy infants. Weight-banded dosing (50 mg in infants <5 kg; 100 mg in infants ≥5 kg) was predicted to be appropriate for infants ≥1 kg in their first RSV season. Together, these data support weight-banded dosing of nirsevimab in all infants in their first RSV season, including in healthy infants, infants with CHD or CLD, and in infants born prematurely.

Comparison of Dose Adjustment Strategies for Obesity in High-dose Cyclophosphamide Among Adult Hematopoietic Cell Transplantation Recipients: Pharmacokinetic Analysis.

Cyclophosphamide (CY) is an alkylating agent widely used in the field of oncology and hematopoietic cell transplantation (HCT). It is recommended to use an adjusted body weight with an adjustment factor of 0.25 (ABW25) for dosing of CY in obese patients undergoing HCT. However, evidence based on the pharmacokinetics (PK) of CY to support this recommendation is lacking. We aimed to identify a dosing strategy of CY that achieves equivalent exposures among obese and nonobese patients. The present study is a secondary analysis of a previously conducted observational PK study of phosphoramide mustard (PM), the final cytotoxic metabolite of CY. Data were collected from 85 adults with hematologic malignancy who received a single infusion of CY 50 mg/kg, fludarabine, ± anti-thymocyte globulin, and a single fraction of total body irradiation as HCT conditioning therapy. A previously developed population PK model in these patients was used for simulations. Using individualized PK parameters from that analysis, simulations were performed to assess cumulative exposures of PM (i.e., area-under-the-curve [AUC]) resulting from 8 different dosing strategies according to various measures of body size: (1) "mg/kg" by total body weight (TBW); (2) "mg/kg" by ideal body weight (IBW); (3) "mg/kg" by fat free mass; (4) "mg/m2" by body surface area (BSA); (5) "mg/kg" by TBW combined with ABW25 (TBW-ABW25); (6) "mg/kg" by IBW combined with ABW25 (IBW-ABW25); (7) "mg/kg" by TBW combined with ABW by adjustment factor of 0.50 (TBW-ABW50); and (8) "mg" by fixed-dose. We defined equivalent exposure as the effect of obesity on PM AUC within ±20% from the PM AUC in the nonobese group, where obesity is defined based on TBW/IBW ratio (i.e., nonobese, <1.2; mildly obese, 1.2-1.5; and moderately/severely obese, >1.5). Primary and secondary outcomes were PM AUC0-8hours and PM AUC0-infinity, respectively. In the 85 patients, with the median age of 63 years (range 21-75), 46% were classified as mildly and 25% were moderately/severely obese based on the TBW/IBW ratio. Negative correlations (i.e., higher the extent of obesity, lower the PM AUC) were shown when dosing simulations were based on IBW, TBW-ABW25, and fixed dosing (P < .05). Positive correlations were shown when dosing was simulated by TBW (P < .05). None of the 8 dosing strategies attained equivalent PM AUC0-8hours between patients with versus without obesity, whereas dosing by BSA and TBW-ABW50 attained equivalent PM AUC0-infinity (P < .05). Our study predicted that the recommended ABW25 dose adjustment may result in lower exposure of CY therapy in obese patients than in nonobese. A CY dosing strategy that would result in similar PM concentrations between obese and nonobese was not identified for early exposure (i.e., PM AUC0-8hours). The data suggest though that CY dosing based on "mg/m2" by BSA or "mg/kg" by TBW-ABW50 would result in similar total exposure (i.e., PM AUC0-infinity) and may minimize exposure differences in obese and nonobese patients.

A Receiver Operating Characteristic Framework for Non-adherence Detection Using Drug Concentration Thresholds-Application to Simulated Risperidone Data in Schizophrenic Patients.

Non-adherence to antipsychotic medication is a primary factor in disease relapse in schizophrenic patients. We sought to evaluate if plasma concentrations of the antipsychotic risperidone can be used as a predictor of treatment adherence and to identify the optimal plasma concentration threshold to reliably distinguish between adherent and non-adherent patients. A population pharmacokinetic model was used to simulate plasma risperidone steady-state trough concentrations in 1000 virtual patients, where 60% of the patients were 100% adherent to their medication, while 40% of the patients were non-adherent to their medication. The probability of adherence was assessed by receiver operating characteristic (ROC) analysis on Ctrough. The area under the ROC curve (AUCROC) was used to identify the optimal Ctrough threshold. Single vs multiple Ctrough at steady state was also evaluated. After a single risperidone Ctrough measurement, the AUCROC (95% CI) was estimated to be 0.71 (0.69-0.72) and the optimal Ctrough threshold accounting for the lowest number of adherent and non-adherent misclassifications was estimated to be 11.9 ng/mL. After multiple Ctrough measurements, the AUCROC (95% CI) increased up to 0.85 (0.84-0.87) for three Ctrough measurements. The optimal probability threshold to reliably discriminate between adherent and non-adherent patients was estimated to be 0.51. Using this model which is reflective of typical adherence to antipsychotic medication, we found that three consecutive steady-state Ctrough measurements are needed for an accurate and precise diagnostic test to discriminate between patients who are adherent or non-adherent to treatment.

Population pharmacokinetic modeling of motesanib and its active metabolite, M4, in cancer patients.

Motesanib is a small molecule and potent multikinase inhibitor with antiangiogenic and antitumor activity. Population pharmacokinetic (POPPK) modeling of motesanib and M4, an active metabolite, was performed to assess sources of variability in cancer patients. The analysis included data collected from 451 patients from 8 clinical trials with oral doses of motesanib ranging from 25 to 175 mg, either once daily or twice daily. The POPPK analyses were performed using nonlinear mixed-effect models with a sequential approach. Covariate effects of demographics and other baseline characteristics were assessed with stepwise covariate modeling. A 2-compartment model with food effect on absorption parameters fitted the PK data of motesanib well. The effects albumin and sex on apparent clearance (CL/F) of motesanib were statistically significant. The albumin effect was more important but remained below a 25% difference. A 1-compartment model fitted PK data of M4 well. Effects of race (Asian vs non-Asian) and dosing frequency were identified as statistically significant covariates on the CL/F of M4. The maximum effect of albumin would result in less than 25% change in motesanib CL/F and as such would not warrant any dosing adjustment. However, faster elimination of M4 in Asian patients requires further investigation.

Population pharmacokinetics of cilengitide in adult and pediatric cancer patients from a nonlinear mixed-effects analysis.

Cilengitide is an αvß3/αvß5-integrin inhibitor investigated as an anticancer agent. This study aimed to develop a cilengitide population pharmacokinetic model using nonlinear mixed-effects modeling of 136 adult patients with advanced solid tumors and to scale the pharmacokinetic parameters to the pediatric population. A stepwise approach was used, beginning with exploratory analyses checking database/target covariate relationships. A two-compartment structural model was developed to describe cilengitide's concentration-time profile and assess covariates' impact on pharmacokinetic parameters. A bootstrap procedure validated the base/final model stability. A two-compartment model best described concentration-time data. Estimated structural model parameters were: 2.79 L h(-) (1) m(-) (2) central compartment mean systemic clearance, 6.75 L m(-) (2) central compartment volume of distribution, 1.3 L h(-) (1) m(-) (2) intercompartmental clearance, and 3.85 L m(-) (2) peripheral compartment volume of distribution. Mean half-life was 0.9 and 3.8 h (α/ß-phase). Co-medications and study populations had no impact, as the different studies were not significant model covariates. Weight and body surface area correlated with the pharmacokinetic parameters (r = 0.95, P < 0.01). Pharmacokinetic parameters were consistent with individual study-derived parameters; their allometric scaling enabled pediatric pharmacokinetic profile predictions as corroborated by independent data. This model provides the basis for pharmacokinetic profile simulations of different dosages/regimens in different populations.