Non compartmental modelling
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Non-compartmental pharmacokinetic analysis is a model-independent method that does not require assumptions about the underlying compartment model. It uses statistical moments to analyze drug concentration-time data following a single dose. Key parameters that can be estimated include clearance, mean residence time, volume of distribution, half-life, and bioavailability. The analysis involves calculating the area under the curve based on the trapezoidal rule to summarize overall drug exposure.
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Non compartmental modelling
- 2. Non compartmental Pharmacokinetics • Non-compartmental analysis also known as model independent methods because it does not require the assumption of specific compartment model. • Also called SHAM (Shape, Height, Area, Moments) • This method is based on the assumption that the drugs or metabolites follow linear kinetics, so this technique can be applied to any compartment model. • This method is based on statistical moments theory where it involves collection of experimental data following a single dose of drug. • Non-compartmental analysis (NCA) is a simple and quick method for evaluating the exposure of a drug. It allows you to evaluate things like linearity and in vivo exposure.
- 3. Compartment model Vs Non Compartment models
- 4. Parameters measured • Clearance: CL=Dose/AUC • Mean residence time: MRT=AUMC/AUC • MRT= is defined as the average amount of time spent by the drug in the body before being eliminated. • Steady state volume of distribution: Vss=MRT*CL = Dose* AUMC/AUC2 • Half-life: Terminal slope of the natural log of the data • F% = AUCEV/AUCIV
- 6. Areas of the trapezoids • Area under the curve, AUC = Area of one trapezoid =(1/2)(Cn-1 + Cn)(tn – tn-1)