Skip to main content
Home / Resources / Knowledge Base / What is the Difference Between Individual and Population PK?

# What is the Difference Between Individual and Population PK?

Pharmacokinetic analysis is often broken into two areas … “PK” and “population PK”. Sometimes the first term “PK” is also called “individual PK”. I’d like to demystify these two analysis methods in this post. In the analysis of biological samples, we have many different detection technologies, for example mass spectroscopy, UV spectroscopy, radiometric detection, and immunochemistry. Each of these technologies is useful, with none being “better” than any other. They are simply tools that can be used for different types of analysis. Individual PK and population PK are simply two different analysis techniques that we use in pharmacokinetic data analysis.

Individual PK usually has the following features:

• Noncompartmental methods
• Use graphical techniques
• Used for Phase I studies
• Not useful for predictive work
• Requires intensive sampling
• Analysis time is short
• Can determine
• Maximum exposure (Cmax)
• Total exposure (Area under the curve or AUC)
• Clearance
• Bioavailability
• Volume of distribution
• Terminal half-life (t1/2)

If the data from the individual PK profiles are adequate, the data can be fit to an model. Compartmental fits on individual data have the following features:

• Compartmental analysis uses exponential equations to describe the curve
• Accomplished by using theoretical “compartments” and the transfer rates between these compartments.
• Can be used for simulations (limited possibilities)
• Can determine: Clearance, bioavailability, volume of distribution, absorption rate, distribution profile, metabolic fate/conversion, terminal half-life (t1/2)

If however, you want to understand how individuals from a population differ from one another, you will need to perform population PK analysis. In this type of analysis, all data from all individuals is considered at the same time in a unified model. Population PK analysis has the following features:

• Evaluates entire population
• Can be used for predictions and simulations
• Computationally intensive
• Intensive and sparse sampling
• Analysis time is longer
• PK/PD modeling (relationship between drug levels and drug effects)
• Can determine
• Clearance
• Volume of distribution
• Effect of covariates (e.g. age, weight, sex, kidney function)
The advantages and disadvantages of each analysis method are highlighted below:
Individual PK Population PK
Advantages Advantages
• Simple
• Robust
• Model-independent
• User-friendly software
• Rapid
• Robust
• Provides structural model for PK/PD
• Any administration schedule/route
• Linear and Nonlinear PK supported
• Descriptive and Predictive
• Studies can be pooled
• Analysis limited by imagination
Disadvantages Disadvantages
• Assumes linear PK
• Model-independent
• Single analysis, cannot address multiple doses
• Study design often limits analysis
• Less rapid
• Less user-friendly software
• More expertise required for analysis
• Analysis limited by imagination
Hopefully you have a better understanding of the differences between the individual PK and population PK analysis techniques. Each is useful, each has its advantages and disadvantages, but neither is “better”.

Systems with distributed delays are extensions of systems with discrete delays where a single lag time is represented by a distribution of lag times. Distributed absorption times for orally administered drugs serve as an example of a pharmacokinetic (PK) system with distributed delays. Another example is a hematopoietic cell population with distributed lifespans.

Watch this webinar to learn how Certara’s population PK/PD software, Phoenix NLME, can be used to model pharmacokinetic/pharmacodynamic (PK/PD) systems with distributed delays.

### About the author

By: Nathan Teuscher