Assessing the viability of long-acting β2-agonists in paediatric asthma patients: a pharmacokinetic/pharmacodynamic perspective

被引:4
|
作者
Matera, Maria Gabriella [1 ]
Rinaldi, Barbara [1 ]
Calzetta, Luigino [2 ]
Cazzola, Mario [2 ]
机构
[1] Univ Naples 2, Dept Expt Med, Naples, Italy
[2] Univ Roma Tor Vergata, Dept Syst Med, Rome, Italy
关键词
Pharmacokinetics; pharmacodynamics; children; long-acting; beta; 2-agonists; METERED-DOSE INHALERS; SYSTEMIC EXPOSURE; CYSTIC-FIBROSIS; BETA-AGONISTS; PHARMACOLOGICAL-PROPERTIES; CLINICAL PHARMACOKINETICS; AEROSOL DEPOSITION; PERSISTENT ASTHMA; DRUG DISPOSITION; BODY-SIZE;
D O I
10.1080/17425255.2017.1234604
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Introduction: Long-acting beta(2)-agonists (LABAs) combined with inhaled corticosteroids (ICSs) are still commonly prescribed to asthmatic children. Unfortunately, pediatric LABA use is based primarily on data from adults, despite the fact that children are not simply small adults and the magnitude of changes in dose exposure and/or exposure response may not be solely reflected by differences in body weight. Areas covered: The differences in pharmacokinetics (PK) and pharmacodynamics (PD) of LABAs are described and discussed with reference children and adults. Expert opinion: Data on the PK behavior of LABAs is very limited and there is almost no data on once-daily LABAs available in the pediatric population. We do not believe that this is due to a fundamental lack of information because therapeutic response and adverse effects are more useful for the optimization of beta(2)-agonist treatment than measurement of plasma drug concentrations per se. Nevertheless, population PK-PD studies in children are needed according to the European rules in order to define rational, patient-tailored dosing schemes. Population PK-PD modeling and simulation using non-linear mixed effect modeling should be considered as the preferred tool to develop effective and safe dosing regimens for children because they present an opportunity to analyze sparse and unbalanced datasets, thereby minimizing the burden for each child.
引用
收藏
页码:129 / 136
页数:8
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