seminar on noncompartmental pharmacokinetics

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SEMINAR ON NONCOMPARTMENTAL PHARMACOKINETICS Presented by: Ch. Karthik Siva Chaitanya M.Pharm (1 st sem),Pharmaceutics UCPSc,KU. 1

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SEMINAR ON NONCOMPARTMENTAL PHARMACOKINETICS. Presented by: Ch. Karthik Siva Chaitanya M.Pharm (1 st sem ),Pharmaceutics UCPSc,KU . Contents:. Introduction to noncompartmental pharmacokinetic approach D ifferences between compartment and noncompartment models - PowerPoint PPT Presentation

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SEMINAR ON NONCOMPARTMENTAL PHARMACOKINETICSPresented by:Ch. Karthik Siva ChaitanyaM.Pharm (1st sem),PharmaceuticsUCPSc,KU.

11Contents:Introduction to noncompartmental pharmacokinetic approachDifferences between compartment and noncompartment modelsConcepts of noncompartmental model Statistical moments theory-Mean residence time Different pharmacokinetic parameters in noncompartment model

Ch.Karthik SivaChaitanya,M.Pharm 1st Sem,UCPSc,KU22Noncompartment pharmacokinetics is a new approach devised to study the time course of drug in the body with out assuming any compartment model. Based on the statistical moment theory.

Model independent method Overcomes some of the drawbacks associated with classical compartment modeling. Basic assumption is that drug or metabolite follows first-order kinetics.

Ch.Karthik SivaChaitanya,M.Pharm 1st Sem,UCPSc,KU33Compartment models

Noncompartment models

These require elaborate assumptions to fit the dataDo not require assumptions to compartment model. Curve fitting of experimental data using computers. It is a tedious method.

Simple algebraic equations. No curve fitting and no computersApplicable to linear and nonlinear pharmacokinetics

Applicable to linear pharmacokinetics.

C1 - time profile is regarded as expressions of exponentsC1 time profile is regarded as statistical distribution.

These are useful for most of the situations, though assumptions of modeling are involved.

Particularly useful for the applications of clinical pharmacokinetics, bioavailability, and bioequivalence studies.

Noncompartment and Compartment models Comparison

Ch.Karthik SivaChaitanya,M.Pharm 1st Sem,UCPSc,KU44Advantages:Derivation of PK parameters is easy, because of simple algebraic equations

Mathematical treatment remains same, for drug or metabolite, provided elimination follows first order kinetics

Drug disposition kinetics need not be described in detail

Ch.Karthik SivaChaitanya,M.Pharm 1st Sem,UCPSc,KU55Disadvantages:

Information regarding plasma drug concentration-time profile is expressed as an average

Generally not useful for describing the time course of drug in the blood

It is applicable only for linear pharmacokinetics

Ch.Karthik SivaChaitanya,M.Pharm 1st Sem,UCPSc,KU66Statistical Moment Theory Statistical moment: A mathematical description of a discrete distribution of data. Statistical moments calculated from a set of concentration-time data represent an estimate of the true moment (or the true probability density function (PDF)that describes the true relationship between concentration and time).Statistical moment theory provides a unique way to study time-related changes in macroscopic events.Assume the drug molecules are eliminated according to a kinetic function, f(t) = C 0e kt

Ch.Karthik SivaChaitanya,M.Pharm 1st Sem,UCPSc,KU77

[AUC]0 = C dt [AUMC]0 = t x C. dtCh.Karthik SivaChaitanya,M.Pharm 1st Sem,UCPSc,KU8 Eq.1 2 1 38

I.V. bolus injection Calculation of AUC and AUMC

Ch.Karthik SivaChaitanya,M.Pharm 1st Sem,UCPSc,KU99Mean residence time(MRT):The term mean residence time (MRT) describes the average time for all the drug molecules to reside in the body.

Ch.Karthik SivaChaitanya,M.Pharm 1st Sem,UCPSc,KU1010MRT represents the time for 63.2% of drug eliminated when given i.v. bolus injection.

It is analogous to plasma elimination half life, t1/2, i.e., 50% elimination.

Like half life, MRT is a function of both distribution and elimination

For i.v bolus dose

Ch.Karthik SivaChaitanya,M.Pharm 1st Sem,UCPSc,KU1111In noncompartmental terms,

k is constant equal to ratio of clearance to VssVss is volume of distribution at steady state

t1/2 = 0.693MRTMRTiv is used for comparison. For eg: following constant rate of infusion Where T = duration of infusion

0.693Plasma elimination half life : t1/2 = k10Ch.Karthik SivaChaitanya,M.Pharm 1st Sem,UCPSc,KU1212DRUG ABSORPTION:MAT(Mean absorption time) is defined as the differences in mean residence time (MRT) after different modesof administration.

MAT = MRTni MRTiv

MRTni = mean residence time of drug by non-instantaneous route, hMRTiv = mean residence time of drug by i.v. bolus injection Same equation is used for i.m. injection

Ch.Karthik SivaChaitanya,M.Pharm 1st Sem,UCPSc,KU1313 When absorption follows zero order

T = time over which absorption takes place, h MAT can be used for comparision of dosage formsCh.Karthik SivaChaitanya,M.Pharm 1st Sem,UCPSc,KU1414OTHER APPLICATIONS OF MRTMean Dissolution Time(MDT) MDT=MRTtest-MRTsolnIn oral administration, MRToral=MRTiv+1/KaFor evaluation of absorption data, MAT=MRTtest-MRTiv MAT=1/Ka Ka is first order absorption rate constant

Ch.Karthik SivaChaitanya,M.Pharm 1st Sem,UCPSc,KU15Drug Clearance: After iv bolus administration,

At steady state after constant rate iv infusionBy using extraction ratio Cl=Q(ER)

Ko is rate of infusion ; Css is steady state concentrationCh.Karthik SivaChaitanya,M.Pharm 1st Sem,UCPSc,KU1616APPARENTVOLUME OF DISTRIBUTION:Vss is volume of distribution at steady state independent of elimination Vss =i.v dose(AUMC)/(AUC)If drug is given by constant rate i.v infusion Where Ko is infusion rate; is duration of infusion

Ch.Karthik SivaChaitanya,M.Pharm 1st Sem,UCPSc,KU1717Steady State Plasma Drug Concentration:

The Css is a function of the effective rateof dosing and total body clearance of thedrug in a patient

Ch.Karthik SivaChaitanya,M.Pharm 1st Sem,UCPSc,KU1818

F is fraction bioavailableAUCss is AUC from t=0 to t= during a dosinginterval at steady state

Ch.Karthik SivaChaitanya,M.Pharm 1st Sem,UCPSc,KU19Method of superposition is used for predicting steady state concentration on repetitive dosing from data obtained after a single dose.19Predicting the Time to Steady State:

Time required for the drug to reach steady state, i.e., 99%, takes 6.65 half lives.

In extravascular route (or prolongedrelease drug products), the time requiredto attain ss takes longer than predicted bybiological half life

In multicompartment disposition, timerequired to attain to ss is shorter than that predicted by terminal half life

Ch.Karthik SivaChaitanya,M.Pharm 1st Sem,UCPSc,KU2020

In noncompartmentmodels, when the drug isadministered repetitive dosing, fssAUC = area under the curve in single doseCh.Karthik SivaChaitanya,M.Pharm 1st Sem,UCPSc,KU2121Bioavailability:

Bioavailability refers to the fractional dose of a dosage form reaches systemic circulation. For i.v. bolus injection, bioavailability is referred as unity (=1)Bioavailability (F) of a dosage form

Ch.Karthik SivaChaitanya,M.Pharm 1st Sem,UCPSc,KU2222Fraction metabolised: AUCx1 Fraction metabolized, Fm = AUC1

AUCx1 is area under the curve of metabolite concentrationin plasma versus time from zero to infinity

AUC1 is the total area under the metabolite concentration time curve after a equimolar intravenous dose of a metabolite

Ch.Karthik SivaChaitanya,M.Pharm 1st Sem,UCPSc,KU23CONCLUSION:The noncompartmental pharmacokinetic methods permit a comprehensive pharmacokinetic analysis with out resort to curve fitting,sophisticated computers or tedious mathematical equations.

Although these methods cannot be applied to all pharmacokinetic problems,they are useful for most problems and are particularly useful for the clinical application of pharmacokinetics. Ch.Karthik SivaChaitanya,M.Pharm 1st Sem,UCPSc,KU2424References:Milo Gibaldi , Biopharmaceutics and clinical pharmacokinetics, 4th edition ,pg no 17-26 D.Perrier,M.Gibaldi Pharmacokinetics, 2nd edition , pg no 409-417Leon Shargel ,Applied biopharmaceutics and pharmacokinetics,5th edition,pg no 717-753V.Venkateshwarlu,Biopharmaceutics and pharmacokinetics, pg no 309-330www.pharainfo.net

Ch.Karthik SivaChaitanya,M.Pharm 1st Sem,UCPSc,KU2525THANK YOUCh.Karthik SivaChaitanya,M.Pharm 1st Sem,UCPSc,KU2626