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In addition, NCA relies almost exclusively upon algebraic equations to estimate PK parameters, making the analysis less complex than compartmental methods. Noncompartmental analysis (NCA) methods are model-independent, meaning they do not rely upon assumptions about body compartments, and they tend to provide more consistency. When using a compartmental approach, there is the potential for variability in the output of the analysis because the assumptions used to build the PK model may be somewhat different from one pharmacokineticist to another. Based on this view, the pharmacokineticist makes certain assumptions and develops models based upon nonlinear regression analysis to describe the PK of the drug. Compartmental AnalysisĬompartmental methods consider the body to consist of a finite number of interconnected, well-mixed, and kinetically homogeneous compartments (e.g., blood, organs, and other tissues). One is compartmental PK analysis and the other is noncompartmental PK analysis (NCA). There are two common approaches to understanding a drug’s PK. Insights into a drug’s PK are used to inform the drug development program and are critical for guiding input and decision-making by regulatory authorities like the FDA. In other words, PK is used to describe the absorption, distribution, metabolism, and excretion (ADME) of a drug. PK helps us understand how a drug moves into the body, passes through the body, and is eventually cleared from the body in a quantitative way.
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Pharmacokinetics (PK) is the branch of pharmacology that explores the effects of the human body on a drug.