27 research outputs found
Rapid increase in clearance of phenobarbital in neonates on extracorporeal membrane oxygenation: A pilot retrospective population pharmacokinetic analysis
Objectives: This study characterizes the changes in the pharmacokinetics of phenobarbital associated with extracorporeal membrane oxygenation treatment in neonates, to illustrate our findings and provide guidance on dosing.Design: Retrospective pilot population pharmacokinetic analysis.Setting: Neonatal ICU.Patients: Thirteen critically ill neonates (birth body weight, 3.21kg [2.65-3.72 kg]; postnatal age at start of treatment: 2 d [0-7 d]; gestational age: 38wk [38-41 wk]) receiving venovenous or venoarterial extracorporeal membrane oxygenation.Interventions: Phenobarbital administered in a loading dose of 7.5mg/kg (8.5-16mg/kg) and maintenance dose of 6.9mg/kg/d (4.5-8.5mg/kg/d).Measurements and Main Results: Therapeutic drug monitoring data were available, yielding 5, 31, and 19 phenobarbital concentrations before, during, and after extracorporeal membrane oxygenation, respectively. Population pharmacokinetic analysis was performed using NONMEM 7.3.0 (ICON Development Solutions, Ellicott City, MD). Maturation functions for clearance and volume of distribution were obtained from literature. In a one-compartment model, clearance and volume of distribution for a typical neonate off extracorporeal membrane oxygenation and with a median birth body weight (3.21kg) at median postnatal age (2 d) were 0.0096L/hr (relative se = 11%)) and 2.72L (16%), respectively. During extracorporeal membrane oxygenation, clearance was found to linearly increase with time. Upon decannulation, phenobarbital clearance initially decreased and subsequently increased slowly driven by maturation. Extracorporeal membrane oxygenation-related changes in volume of distribution could not be identified, possibly due to sparse data collection shortly after extracorporeal membrane oxygenation start. According to the model, target attainment is achieved in the first 12 days of extracorporeal membrane oxygenation with a regimen of a loading dose of 20mg/kg and a maintenance dose of 4mg/kg/d divided in two doses with an increase of 0.25mg/kg every 12 hours during extracorporeal membrane oxygenation treatment.Conclusions: We found a time-dependent increase in phenobarbital clearance during the first 12 days of extracorporeal membrane oxygenation treatment in neonates, which results in continuously decreasing phenobarbital exposure and increases the risk of therapeutic failure over time. Due to high unexplained variability, frequent and repeated therapeutic drug monitoring should be considered even with the model-derived regimen.Pharmacolog
Dose-linearity of the pharmacokinetics of an intravenous C-14 midazolam microdose in children
Aims: Drug disposition in children may vary from adults due to age‐related variation in drug metabolism. Microdose studies present an innovation to study pharmacokinetics (PK) in paediatrics; however, they should be used only when the PK is dose
linear. We aimed to assess dose linearity of a [14C]midazolam microdose, by comparing the PK of an intravenous (IV) microtracer (a microdose given simultaneously with
a therapeutic midazolam dose), with the PK of a single isolated microdose.
Methods: Preterm to 2‐year‐old infants admitted to the intensive care unit received
[
14C]midazolam IV as a microtracer or microdose, followed by dense blood sampling up
to 36 hours. Plasma concentrations of [14C]midazolam and [14C]1‐hydroxy‐midazolam
were determined by accelerator mass spectrometry. Noncompartmental PK analysis
was performed and a population PK model was developed.
Results: Of 15 infants (median gestational age 39.4 [range 23.9–41.4] weeks, postnatal age 11.4 [0.6–49.1] weeks), 6 received a microtracer and 9 a microdose of [14C]
midazolam (111 Bq kg−1
; 37.6 ng kg−1
). In a 2‐compartment PK model, bodyweight
was the most significant covariate for volume of distribution. There was no statistically significant difference in any PK parameter between the microdose and
microtracer, nor in the area under curve ratio [14C]1‐OH‐midazolam/[14C]midazolam,
showing the PK of midazolam to be linear within the range of the therapeutic and
microdoses.
Conclusion: Our data support the dose linearity of the PK of an IV [14C]midazolam
microdose in children. Hence, a [14C]midazolam microdosing approach may be used
as an alternative to a therapeutic dose of midazolam to study developmental changes
in hepatic CYP3A activity in young children
The role of population PK-PD modelling in paediatric clinical research
Children differ from adults in their response to drugs. While this may be the result of changes in dose exposure (pharmacokinetics [PK]) and/or exposure response (pharmacodynamics [PD]) relationships, the magnitude of these changes may not be solely reflected by differences in body weight. As a consequence, dosing recommendations empirically derived from adults dosing regimens using linear extrapolations based on body weight, can result in therapeutic failure, occurrence of adverse effect or even fatalities. In order to define rational, patient-tailored dosing schemes, population PK-PD studies in children are needed. For the analysis of the data, population modelling using non-linear mixed effect modelling is the preferred tool since this approach allows for the analysis of sparse and unbalanced datasets. Additionally, it permits the exploration of the influence of different covariates such as body weight and age to explain the variability in drug response. Finally, using this approach, these PK-PD studies can be designed in the most efficient manner in order to obtain the maximum information on the PK-PD parameters with the highest precision. Once a population PK-PD model is developed, internal and external validations should be performed. If the model performs well in these validation procedures, model simulations can be used to define a dosing regimen, which in turn needs to be tested and challenged in a prospective clinical trial. This methodology will improve the efficacy/safety balance of dosing guidelines, which will be of benefit to the individual child
Do pharmacokinetic polymorphisms explain treatment failure in high-risk patients with neuroblastoma?
Developmental Changes in Morphine Clearance Across the Entire Paediatric Age Range are Best Described by a Bodyweight-Dependent Exponent Model
Perioperative Medicine: Efficacy, Safety and Outcom
The Oral Bioavailability and Metabolism of Midazolam in Stable Critically Ill Children: A Pharmacokinetic Microtracing Study
Midazolam is metabolized by the developmentally regulated intestinal and hepatic drug-metabolizing enzyme cytochrome P450 (CYP) 3A4/5. It is frequently administered orally to children, yet knowledge is lacking on the oral bioavailability in term neonates up until 1 year of age. Furthermore, the dispositions of the major metabolites 1-OH-midazolam (OHM) and 1-OH-midazolam-glucuronide (OHMG) after oral administration are largely unknown for the entire pediatric age span. We aimed to fill these knowledge gaps with a pediatric [ 14C]midazolam microtracer population pharmacokinetic study. Forty-six stable, critically ill children (median age 9.8 (range 0.3–276.4) weeks) received a single oral [ 14C]midazolam microtracer (58 (40–67) Bq/kg) when they received a therapeutic continuous intravenous midazolam infusion and had an arterial line in place enabling blood sampling. For midazolam, in a one-compartment model, bodyweight was a significant predictor for clearance (0.98 L/hour) and volume of distribution (8.7 L) (values for a typical individual of 5 kg). The typical oral bioavailability in the population was 66% (range 25–85%). The exposures of OHM and OHMG were highest for the youngest age groups and significantly decreased with postnatal age. The oral bioavailability of midazolam, largely reflective of intestinal and hepatic CYP3A activity, was on average lower than the reported 49–92% for preterm neonates, and higher than the reported 21% for children> 1 year of age and 30% for adults. As midazolam oral bioavailability varied widely, systemic exposure of other CYP3A–substrate drugs after oral dosing in this population may also be unpredictable, with risk of therapy failure or toxicity