
Population pharmacokinetic modelling of rupatadine solution in 6–11 year olds and optimisation of the experimental design in younger children
Author(s) -
Eva Santamaría,
Javier Estévez,
Jordi Riba,
Iñaki Izquierdo,
Marta Valle
Publication year - 2017
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0176091
Subject(s) - pharmacokinetics , cmax , population , sampling (signal processing) , blood sampling , medicine , research design , statistics , mathematics , pharmacology , computer science , environmental health , filter (signal processing) , computer vision
Aims To optimise a pharmacokinetic (PK) study design of rupatadine for 2–5 year olds by using a population PK model developed with data from a study in 6–11 year olds. The design optimisation was driven by the need to avoid children’s discomfort in the study. Methods PK data from 6–11 year olds with allergic rhinitis available from a previous study were used to construct a population PK model which we used in simulations to assess the dose to administer in a study in 2–5 year olds. In addition, an optimal design approach was used to determine the most appropriate number of sampling groups, sampling days, total samples and sampling times. Results A two-compartmental model with first-order absorption and elimination, with clearance dependent on weight adequately described the PK of rupatadine for 6–11 year olds. The dose selected for a trial in 2–5 year olds was 2.5 mg, as it provided a Cmax below the 3 ng/ml threshold. The optimal study design consisted of four groups of children (10 children each), a maximum sampling window of 2 hours in two clinic visits for drawing three samples on day 14 and one on day 28 coinciding with the final examination of the study. Conclusions A PK study design was optimised in order to prioritise avoidance of discomfort for enrolled 2–5 year olds by taking only four blood samples from each child and minimising the length of hospital stays.