A guide for reporting the results of population pharmacokinetic analyses: a Swedish perspective
Janet R Wade1, Monica Edholm, Tomas Salmonson
1Exprimo NV, SE-75653 Uppsala, Sweden. janet.wade@exprimo.com
Abstract:
Population pharmacokinetic analyses are frequently part of regulatory submissions and are mainly used to provide information on special populations (effects of age, renal impairment, etc) and drug-drug interactions. A varying standard of population analysis reports has been received at the Medical Products Agency in Sweden, some very good and some unassessable. In the latter case, it may be that it is a report of an inadequate analysis or may be a report of a perfectly acceptable analysis, but too little detail has been provided in the report for the conclusions reached to be properly assessed. A sufficient level of detail must be present in these reports in order for them to be assessable and to allow the conclusions reached to be incorporated into the summary of product characteristics. The report should specify the goal(s) of the analysis, describe in detail the origin and nature of the data, clearly describe the model-building process, include a range of goodness of fit (GOF) plots to support decisions made during the model-building process, and demonstrate that the final model is a good description of the data. The use of color in GOF plots is encouraged so that key features are easily visible. Covariate effects in the final model should be clearly presented and their clinical relevance discussed. In the case of many covariates in the final model, it may be useful to perform some simulations to illustrate the effect of various covariate combinations for a series of different "typical" subjects.
Related Concept Videos
Analysis of Population Pharmacokinetic Data
Dosage Regimens: Partial Pharmacokinetic Parameters
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This relationship...
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
Model Approaches for Pharmacokinetic Data: Physiological Models

