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Drug Dosing: Infants and Children01:29

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Pediatric patient dosages diverge from adults due to disparities in body surface area, total body water, and extracellular fluid per kilogram of body weight. The dosing regimen considers the variations in pharmacokinetics and pharmacology across distinct age groups, encompassing preterm newborns, infants, young children, older children, and adolescents. Calculation of pediatric patient doses is predicated on determining body surface area, which exhibits a superior correlation with the child's...
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Dosage Regimens: Designs and Approaches01:28

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Designing a dosage regimen, which refers to the manner of drug administration, is a complex process involving the selection of drug dose, route, and frequency. This process is underpinned by pharmacokinetic parameters derived from tests and population averages. These parameters are then tailored to patient-specific variables such as diagnosis, demographics, and allergy status. Once therapy commences, therapeutic response monitoring is critical and achieved through clinical and physical...
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Determining the optimal dose size and dosing frequency in pharmacotherapy is crucial for achieving therapeutic effectiveness while minimizing adverse effects. This article explores the methodologies employed in determining these parameters, focusing on their significance and interplay to tailor dosing regimens.Dose Size: Dose size refers to the amount of a drug administered in a single dose. It is determined based on the drug's pharmacodynamics and pharmacokinetics properties and...
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It is not uncommon for complete drug pharmacokinetic profiles to remain elusive in pharmacokinetics. This necessitates certain educated assumptions by pharmacokineticists to determine appropriate dosage regimens without comprehensive pharmacokinetic data from animal or human studies. One prevalent assumption is setting the bioavailability factor, denoted as F, to 1 or 100%. This assumption caters to the scenario where a drug doesn't achieve full systemic absorption, resulting in the patient...
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In pediatric medicine, understanding the renal function and drug elimination nuances is crucial for administering safe and effective treatments. Newborns, in particular, display markedly slower renal functions than adults, profoundly affecting how drugs are cleared from their bodies. This slower drug clearance requires clinicians to extend the dosing intervals for many medications to prevent drug accumulation and toxicity while ensuring therapeutic efficacy.One key area where these adjustments...
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A loading dose is an essential pharmacological strategy to rapidly achieve the target plasma drug concentration necessary for an immediate therapeutic effect. This approach is especially critical for drugs characterized by slow absorption or extended half-lives, where delaying therapeutic plasma levels could compromise treatment outcomes. By administering a loading dose, clinicians ensure a prompt onset of drug action, even for agents with complex pharmacokinetic profiles.Achieving steady-state...
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Exposure-response modelling approaches for determining optimal dosing rules in children.

Ian Wadsworth1,2, Lisa V Hampson3, Björn Bornkamp3

  • 1Department of Mathematics & Statistics, Fylde College, Lancaster University, Lancaster, UK.

Statistical Methods in Medical Research
|February 14, 2020
PubMed
Summary

Pediatric drug dosing can be improved by modeling age-related exposure-response relationships. New methods like Bayesian penalized B-splines offer more accurate dosing rules than traditional age groupings for children.

Keywords:
Bayesian penalised B-splinesdosing rulesexposure–response modellingmodel-based recursive partitioningpaediatric

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Area of Science:

  • Pharmacometrics
  • Pediatric Pharmacology
  • Biostatistics

Background:

  • Paediatric populations exhibit varying exposure-response relationships across different age groups.
  • Current regulatory guidance suggests general age groupings, but their suitability for all drugs and diseases is uncertain.
  • Accurate dosing in children requires understanding how drug effects change with age.

Purpose of the Study:

  • To evaluate model-based approaches for quantifying age-related changes in exposure-response parameters.
  • To develop an optimal dosing rule strategy based on age-varying parameters.
  • To assess the performance of these methods in pediatric drug development.

Main Methods:

  • Utilized Bayesian penalized B-splines and model-based recursive partitioning to model continuous age.
  • Developed methods for deriving optimal dosing rules from age-dependent exposure-response models.
  • Conducted simulation studies using linear and Emax exposure-response models, motivated by epilepsy drug development and in vitro cyclosporine data.

Main Results:

  • Both Bayesian penalized B-splines and bootstrapped model-based recursive partitioning effectively estimated linear exposure-response parameters.
  • These novel methods outperformed traditional linear models using categorical age covariates (ICH E11 groupings).
  • Bayesian penalized B-splines demonstrated superior accuracy in estimating model parameters compared to recursive partitioning.

Conclusions:

  • Model-based approaches provide a more precise way to characterize age-related exposure-response relationships in pediatric populations.
  • Bayesian penalized B-splines offer a robust and accurate method for optimizing pediatric dosing strategies.
  • These findings support the development of more tailored and effective dosing regimens for children.