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PHARMACOKINETIC MODELS

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Presentation on theme: "PHARMACOKINETIC MODELS"— Presentation transcript:

1 PHARMACOKINETIC MODELS

2 PHARMACOKINETIC MODELING
It is a hypothesis that utilized mathematical terms to describe quantitative relationships MODELING REQUIRES: Knowledge of anatomy and physiology Understanding the concepts and limitations of the models.

3 OUTCOME The development of equations to describe drug concentrations in the body as a function of time HOW? By fitting the model to the experimental data known as variables. A PK function relates an independent variable to a dependent variable.

4 FATE OF DRUG IN THE BODY ADME Excretion Oral Administration G.I. Tract
Intravenous Injection Circulatory System Intramuscular Injection Tissues Metabolic Sites Subcutaneous Injection

5 Complexity of PK model will vary with:
1- Route of administration 2- Extent and duration of distribution into various body fluids and tissues. 3- The processes of elimination. 4- Intended application of the PK model. We try to choose the SIMPLEST Model

6 Some Types of PK Models 1- Physiologic (Perfusion) Models
2- Compartmental Models

7 PHYSILOGIC PK MODELS Models are based on known physiologic
and anatomic data. Blood flow is responsible for distributing drug to various parts of the body. Organ size (tissue volume) and drug conc are obtained. Predict realistic tissue drug conc. Applied only to animal species and may be extrapolated to human.

8 PHYSILOGIC PK MODELS Can study how physiological factors may change drug distribution from one animal species to another No data fitting is required Drug conc in the various tissues are predicted by organ tissue size, blood flow, and experimentally determined drug tissue-blood ratios. Pathophysiologic conditions can affect distribution.

9 Physiological Model Simulation
Perfusion Model Simulation of Lidocaine IV Infusion in Man Blood Metabolism RET Muscle Adipose Lung Time Percent of Dose

10 COMPARTMENTAL MODELS A compartment is not a real physiologic or
anatomic region, but it is a tissue or group of tissues having similar blood flow and drug affinity. Within each compartment the drug is considered to be uniformly distributed. Drug move in and out of compartments Compartmental models are based on linear differential equations. Rate constants are used to describe drug entry into and out from the compartment.

11 COMPARTMENTAL MODELS The amount of drug in the body is the sum
of drug present in the compartments. Extrapolation from animal data may not be possible because the volume is not a true volume but is a mathematical concept. Parameters are kinetically determined from the data.

12 The model consists of one or more compartments connected to a central compartment
2 1 3 ka kel k12 k21

13 Intravenous and Extravascular Administration
IV, IM, SC

14 Intravenous and extravascular Route of Administration
Difference in plasma conc-time curve Time Cp Time Cp Intravenous Administration Extravascular Administration

15 One Compartment Open Model Intravenous Administration

16 One Compartment Open Model Intravenous Administration
The one compartment model offers the simplest way to describe the process of drug distribution and elimination in the body. Blood (Vd) i.v. Input kel Output

17 One Compartment Open Model Intravenous Administration
The one-compartment model does not predict actual drug levels in the tissues, but does imply that changes in the plasma levels of a drug will result in proportional changes in tissue drug levels.

18 FIRST-ORDER KINETICS  The rate of elimination for most drugs is a
first-order process.  kel is a first-order rate constant with a unit of inverse time such as hr-1.

19 Semi-log paper Plotting the data

20 INTEGRATED EQUATIONS The rate of change of drug plasma conc over time is equal to: This expression shows that the rate of elimination of drug from the body is a first-order process and depends on kel

21 INTEGRATED EQUATIONS Cp = Cp0e-kelt ln Cp = ln Cp0  kelt
DB = Dose . e-kelt ln DB = ln Dose  kelt

22 Elimination Half-Life (t1/2)
Is the time taken for the drug conc or the amount in the body to fall by one-half, such as Cp = ½ Cp0 or DB = ½ DB0 Therefore,

23 ESTIMATION OF half-life from graph
A plot of Cp vs. time t1/2 = 3 hr

24 Fraction of the Dose Remaining
The fraction of the dose remaining in the body (DB /Dose) varies with time. The fraction of the dose lost after a time t can be then calculated from:

25 Volume of Distribution (Vd)
It is a hypothetical parameter that is used to relate the measured drug concentration in blood to its amount in the body. Example: 1 gram of drug is dissolved in an unknown volume of water. Upon assay the conc was found to be 1mg/ml. What is the original volume of the solution? V = Amount / Conc = 1/1= 1 liter Also, if the volume and the conc are known, then the original amount dissolved can be calculated Amount = V X Conc= 1X1= 1 gram

26 Apparent Vd Drugs can have Vd equal, smaller or greater than the body mass It is called apparent because it does not necessarily have any physiological meaning. Drugs that are highly lipid soluble, such as digoxin has a very high Vd (> 500 liters), drugs which are lipid insoluble remain in the blood and have a low Vd.

27 Apparent Vd Vd is the ratio between the amount of drug in the body (dose given) and the concentration measured in blood or plasma. Therefore, Vd is calculated from the equation: Vd = DB / CP where, DB = amount of drug in the body Cp = plasma drug concentration

28 For One Compartment Model with IV Administration:
With rapid IV injection the dose is equal to the amount of drug in the body at zero time (DB). Where Cp is the intercept obtained by plotting Cp vs. time on a semilog paper.

29 For One Compartment Model with IV Administration:
Cpo

30 Calculation of Vd from the AUC
Since, dDB/dt = -kelD = -kelVdCp dDB = -kelVdCpdt  dDB = -kelVd  Cpdt Since,  Cpdt = AUC Then, AUC = Dose / kelVd Model Independent Method

31 Significance of Vd Drugs with small Vd are usually confined to the
central compartment or highly bound to plasma proteins Drugs with large Vd are usually confined in the tissue Vd can also be expressed as % of body mass and compared to true anatomic volume Vd is constant but can change due to pathological conditions or with age

32 Apparent Vd Example: if the Vd is 3500 ml for a subject weighing 70 kg, the Vd expressed as percent of body weight would be: The larger the apparent Vd, the greater the amount of drug in the extravascular tissues. Note that the plasma represents about 4.5% of the body weight and total body water about 60% of body weight.

33 CLEARANCE (Cl) Is the volume of blood that is cleared from drug per unit time (i.e. L/hr or ml/min). Cl is a measure of drug elimination from the body without identifying the mechanism or process. Cl for a first-order elimination process is constant regardless of the drug conc.

34 INTEGRATED EQUATIONS

35 ESTIMATION OF PK PARAMETERS
A plot of Cp vs. time Cpo kel

36 One-compartment model (IV bolus)
• The drug distribute rapidly throughout the body. • The body may be considered as a single, kinetically homogeneous unit. • The decline of drug concentration is mono-exponential (elimination). Cp = Cp0e-kelt

37 Two-compartment model (IV bolus)
• The drug distribute at various rates into central and peripheral compartments. • The body cannot be considered as a single, kinetically homogeneous unit. • The decline of drug concentration is biexponential (distribution and elimination).

38 Two-compartment model (IV bolus)

39 Two-compartment model (IV bolus)


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