2018
DOI: 10.1002/jcph.1284
|View full text |Cite
|
Sign up to set email alerts
|

Developmental Changes in Pharmacokinetics and Pharmacodynamics

Abstract: Effective drug therapy to optimally influence disease requires an understanding of a drug's pharmacokinetic, pharmacodynamic, and pharmacogenomic interrelationships. In pediatrics, age is a continuum that can and does add variability in drug disposition and effect. This article addresses the many important factors that influence drug disposition and effect relative to age. What is known about the influence of maturation on the processes of drug absorption, distribution, metabolism, excretion, and drug receptor… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

2
171
0
11

Year Published

2018
2018
2022
2022

Publication Types

Select...
6
1

Relationship

2
5

Authors

Journals

citations
Cited by 214 publications
(192 citation statements)
references
References 121 publications
2
171
0
11
Order By: Relevance
“…Similar, different maturational patterns for different elimination processes may result in relevant differences in the phenotypic routes of elimination. Consequently, the interpretation and extrapolation of an isoenzyme‐specific function on the phenotypic drug disposition in children must be applied cautiously and, most importantly, confirmed by in vivo observations …”
Section: In Vitro Phase I Metabolismmentioning
confidence: 99%
See 2 more Smart Citations
“…Similar, different maturational patterns for different elimination processes may result in relevant differences in the phenotypic routes of elimination. Consequently, the interpretation and extrapolation of an isoenzyme‐specific function on the phenotypic drug disposition in children must be applied cautiously and, most importantly, confirmed by in vivo observations …”
Section: In Vitro Phase I Metabolismmentioning
confidence: 99%
“…Compared to the adult MPGGL value of about 40 mg/g, these values are significantly lower in neonates (20‐25 mg/g), with a subsequent increase to peak around the age of 30 years. Using an interlaboratory data pooling effort (n = 129 samples), Barter et al generated an MPGGL age‐dependent function (MPGGL [mg/g] = 10^1.407 + 0.0158*age – 0.00038*age + 0.00000*age [age in years]). Although a function obviously makes data much more operational for modeling tools, we should be aware that this function has been constructed in the absence of MPGGL data in the first 2 years of life, extrapolating from fetal data to individual observations at the age of 2, 4, and 9 years, and neither considers the variability observed unrelated to age.…”
Section: In Vitro Phase I Metabolismmentioning
confidence: 99%
See 1 more Smart Citation
“…The first paper, written by us and two distinguished colleagues, addresses the dynamic maturational changes that occur following birth through adolescence. Age and size are two very important clinical predictors of drug disposition and effect as both change dramatically as the child develops and grows.…”
mentioning
confidence: 99%
“…Age and size are two very important clinical predictors of drug disposition and effect as both change dramatically as the child develops and grows. Only after integrating a patient's severity of illness(es), age, size, and pharmacogenetic makeup with a drug's PK and PD characteristics can one attempt to implement the best pharmacotherapeutic regimen . However, without age‐appropriate drug formulations, drug therapy is severely hampered.…”
mentioning
confidence: 99%