Pop PK & Sparse Sampling | KinderPharm
Population PK analysis (PopPK) is a powerful tool that enables pharmacometricians to interrogate complex PK, PD and clinical data-sets and seek correlations between multiple variables (covariates). Typically these analyses can reveal how drug clearance (CL) is influenced by factors such as; age, gender, race, bodyweight, body surface area, hepatic function, renal function, concomitant mediations, performance status, disease progression etc. These data can then be used to identify subsets of patients (special patient populations) that may need excluded from treatment or may require dose modification.
Estimating pharmacokinetic parameters from very sparse datasets
PopPK analysis can also be used to estimate pharmacokinetic parameters from very sparse datasets (e.g. one or two samples) collected at random sampling times through the disposition of the drug. This is a particularly valuable tool in pediatric drug development as it can be used to analyze PK data in children with a minimal number of blood draws. In addition to PopPK strategies, KinderPharm scientists also make used of computer-based algorithms to design optimized blood-draw schedules to minimize the number of samples that need to be taken from children to obtain PK data.
Contact us to help design your PopPK and sparse PK sampling methods.