Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Pharmacokinetic models employ mathematical expressions for predicting drug behavior in the body and calculating pharmacokinetic parameters.

Different model types include the mechanistic compartment model, and two realistic models, namely  – physiological and distributed parameter models.

These models predict drug levels in different bodily fluids and help to optimize a drug dosage regimen.

One such model, the distributed parameter model, is specifically designed to account for variations in blood flow and drug diffusion within an organ.

Such an approach assesses localized drug concentration differences between the normal and abnormal tissues, like tumors or necrotic tissue.

However, collecting such exhaustive drug concentration data poses a challenge.

Although this approach is similar to physiological models,  it involves more complex mathematical equations for computing pharmacokinetic parameters.