2018
DOI: 10.1111/jvp.12666
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Population variability in animal health: Influence on dose‐exposure‐response relationships: Part II: Modelling and simulation

Abstract: Abstract:During the 2017 Biennial meeting, the American Academy of Veterinary Pharmacology and Therapeutics hosted a one-day session on the influence of population variability on doseexposure-response relationships. In Part I, we highlighted some of the sources of population variability. Part II provides a summary of discussions on modeling and simulation tools that utilize existing pharmacokinetic data, can integrate drug physicochemical characteristics with species physiological characteristics and dosing in… Show more

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Cited by 10 publications
(9 citation statements)
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“…Body weight, sex, and the rate of drug metabolism are intrinsic physiological factors that can contribute to interindividual variability in the pharmacokinetic disposition of a drug (Martinez, Court, Fink‐Gremmels, & Mealey, ; Martinez, Gehring, Mochel, Pade, & Pelligand, ). Based on our data, weight does not appear to be a significant cause of variation in CAM‐D plasma concentrations in cats.…”
Section: Discussionmentioning
confidence: 99%
“…Body weight, sex, and the rate of drug metabolism are intrinsic physiological factors that can contribute to interindividual variability in the pharmacokinetic disposition of a drug (Martinez, Court, Fink‐Gremmels, & Mealey, ; Martinez, Gehring, Mochel, Pade, & Pelligand, ). Based on our data, weight does not appear to be a significant cause of variation in CAM‐D plasma concentrations in cats.…”
Section: Discussionmentioning
confidence: 99%
“…However, due to very limited drug depletion studies for penicillin G in heavy sows available and the high variabilities among the available data sets, the model still needs be improved with additional studies to better predict the tissue concentrations and WDIs. The variabilities from different sources should be considered, and more mechanistic studies should be carried out to help better understand the differences among species and breeds (Martinez, Court, Fink‐Gremmels, & Mealey, ; Martinez, Gehring, Mochel, Pade, & Pelligand, ). As the depletion studies were carried out by different labs and with different commercial brands of PPG, the experimental and random variances may be larger than the physiological variability considered in the population PBPK model.…”
Section: Discussionmentioning
confidence: 99%
“…129 Other sources of variability A large number of pharmaceutical, physiological, pathological and pharmacological factors have been described as having an impact on the PK and clinical outcomes of antimicrobial use, particularly in mammals. [130][131][132][133] However, there are a growing number of examples of factors influencing PK and clinical outcome in poultry, with representative examples presented below. It should be recognised that most of the examples on sources of PK variation have been reported in studies of antimicrobial agents not registered for use in birds in Australia (all registered antimicrobial agents are set out in Appendix 2).…”
Section: Water Sanitisersmentioning
confidence: 99%