SlideShare a Scribd company logo
1 of 33
MULTICOMPARTMENT MODELS
(Delayed Distribution Models)
2
One-compartment model adequately describes pharmacokinetics of many drugs.
Instantaneous distribution equilibrium is assumed in such cases and decline in the amount of drug
in the body with time is expressed by an equation with a monoexponential term (i.e. elimination).
However, instantaneous distribution is not truly possible for an even larger number of drugs and
drug disposition is not monoexponential but bi- or multi-exponential.
REASON
3
The body is composed of a heterogeneous group of tissues each with different degree of
blood flow and affinity for drug and therefore different rates of equilibration.
Ideally, a true pharmacokinetic model should be the one with a rate constant for each
tissue undergoing equilibrium, which is difficult mathematically.
ASSUMPTIONS
4
Blood/plasma and the highly perfused tissues
such as tissues such as brain, heart, lung, liver
and kidneys constitute the central
compartment
Other tissues with similar distribution
characteristics are pooled together to
constitute peripheral compartments tissues
on the basis of similarity in their distribution
characteristics
Intravenously administered medications are
introduced directly into the central
compartment
Irreversible drug elimination, either by
hepatic biotransformation or renal excretion,
takes place only from the central
compartment
Reversible distribution occurs between
central and peripheral compartments, with a
finite time required for distribution
equilibrium to be attained
After drug equilibration between drug and
the peripheral compartments, elimination of
drug follows first-order kinetics
All rate processes involving passage of drug
in and out of individual compartment are
first-order processes and plasma level-time
curve is best described by sum of series of
exponential terms each corresponding to
first-order rate processes associated with a
given compartment
The peripheral compartment is usually
inaccessible to direct measurement and is not
a site of drug elimination or clearance
5
Multicompartment characteristics of a
drug are best understood by giving it as
i.v. bolus and observing the manner in
which the plasma concentration
declines with time.
The number of exponentials required to
describe such a plasma level-time
profile determines the number of
kinetically homogeneous compartments
into which a drug will distribute
TWO-COMPARTMENT OPEN MODEL
The commonest of all multi-compartment models is a two-compartment model
6
Body tissues
Central Compartment or
Compartment 1
Comprising of blood and highly perfused
tissues like liver, lungs, kidneys, etc. that
equilibrate with the drug rapidly. Elimination
usually occurs from this compartment.
Peripheral or Tissue
Compartment or
Compartment 2
Comprising of poorly perfused and slow
equilibrating tissues such as muscles, skin,
adipose, etc. and considered as a hybrid of
several functional physiologic units.
Classification of a particular tissue, for example brain, into central or
peripheral compartment depends upon the physicochemical properties
of the drug.
A highly lipophilic drug can cross the BBB
and brain would then be included in the
central compartment.
In contrast, a polar drug cannot penetrate
the BBB and brain in this case will be a part
of peripheral compartment despite the fact
that it is a highly perfused organ.
7
• The plasma concentration for a drug that follows a two-compartment model
declines biexponentially as the sum of two first-order processes – distribution and
elimination
• Depending upon the compartment from which the drug is eliminated, the two-
compartment model can be categorized into 3 types*:
• Two-compartment model with elimination from central compartment
• Two-compartment model with elimination from peripheral compartment
• Two-compartment model with elimination from both the compartments
* In the absence of information, elimination is assumed to occur exclusively from
central compartment.
8
INTRAVENOUS BOLUS
ADMINISTRATION
Two-Compartment Open Model
9
• The model can be depicted as shown below with elimination from the
central compartment
10
IV bolus
injection
Distribution Elimination
Biexponential
decrease
11
• These two processes are not
evident to the eyes in a
regular arithmetic plot but
when a semilog plot of C
versus t is made, they can be
identified
12
Changes in drug concentration in the
central (plasma) and the peripheral
compartment after i.v. bolus of a drug that
fits two-compartment model
PHASES OBSERVED IN THE CENTRAL
COMPARTMENT
Distributive
phase
• Rapid decline
Pseudo
distributive phase
• Slow rate. Mainly
due to start of
elimination
Elimination phase • Slow rate
13
• In contrast to the central
compartment, the drug
concentration in the peripheral
compartment first increases and
reaches a maximum. This
corresponds with the distribution
phase. Following peak, the drug
concentration declines which
corresponds to the post-distributive
phase
14
• Let K12 and K21 be the first-order distribution rate constants depicting drug
transfer between the central and the peripheral compartments and let
subscript c and p define central and peripheral compartment respectively.
• The rate of change in drug concentration in the central compartment is given
by:
𝑑𝐶
𝑑𝑡
= 𝑟𝑎𝑡𝑒 𝑖𝑛 − 𝑟𝑎𝑡𝑒 𝑜𝑢𝑡
15
• Extending the relationship X = VdC to the above equation, we have
• where Xc and Xp are the amounts of drug in the central and peripheral
compartments respectively and Vc and Vp are the apparent volumes of the
central and the peripheral compartment respectively.
16
• The rate of change in drug concentration in the peripheral compartment is
given by:
• Integration of above equations yields equations that describe the
concentration of drug in the central and peripheral compartments at any
given time t:
17
Where Xo = i.v. bolus dose, and are hybrid
first-order constants for the rapid
distribution phase and the slow elimination
phase respectively which depend entirely
upon the first-order constants K12, K21 and
KE.
• Above equation can be written in simplified form as:
• where A and B are also hybrid constants for the two exponents and can be
resolved graphically by the method of residuals
18
Where Co = plasma drug concentration immediately after i.v.
injection.
• The constants K12 and K21 that depict reversible transfer of drug between
compartments are called as micro constants or transfer constants.
• The mathematical relationships between hybrid and micro constants are
given as:
19
METHOD OF RESIDUALS
• The biexponential disposition curve obtained after i.v. bolus of a drug
that fits two compartment model can be resolved into its individual
exponents by the method of residuals.
𝐶𝑐 = 𝐴𝑒−𝛼𝑡 − 𝐵𝑒−𝛽𝑡
20
• As apparent from the biexponential curve, the initial decline due to
distribution is more rapid than the terminal decline due to elimination
i.e. the rate constant α >>> ß and hence the term e–αt approaches zero
much faster than does e–βt. Thus, equation reduces to:
𝐶 = 𝐵𝑒−𝛽𝑡
• Converting to log form
log 𝐶 = log 𝐵 −
𝛽𝑡
2.303
21
• where 𝐶= back extrapolated plasma
concentration values.
• A semilog plot of 𝐶 versus t yields
the terminal linear phase of the
curve having slope –β/2.303 and
when back extrapolated to time
zero, yields y-intercept log B.
• The t½ for the elimination phase
can be obtained from equation t½ =
0.693/ .
22
• Subtraction of extrapolated plasma concentration values of the
elimination phase from the corresponding true plasma concentration
values yields a series of residual concentration values Cr.
𝐶𝑟 = 𝐶 − 𝐶 = 𝐴𝑒−𝛼𝑡
• Converting to log form
log 𝐶𝑟 = 𝑙𝑜𝑔 𝐴 −
𝛼𝑡
2.303
23
• A semilog plot of Cr versus t yields a straight line with slope –α/2.303 and Y-
intercept log A
24
Resolution of biexponential plasma concentration-time curve by the method of residuals
for a drug that follows two-compartment kinetics on i.v. bolus administration.
ASSESSMENT OF PHARMACOKINETIC
PARAMETERS
• It must be noted that for two-
compartment model, KE is the rate
constant for elimination of drug from
the central compartment and is the
rate constant for elimination from the
entire body. Overall elimination t½
should therefore be calculated from β.
25
26
The apparent volume of central compartment Vc is given as:
AUC is given as:
Apparent volume of peripheral compartment can be obtained from
equation
The apparent volume of distribution at steady-state or equilibrium can now be
defined as
It is also given as:
Total systemic clearance is given as:
INTRAVENOUS INFUSION
Two-Compartment Open Model
27
• The model can be depicted as shown below with elimination from the
central compartment.
28
29
EXTRAVASCULAR ADMINISTRATION –
FIRST-ORDER ABSORPTION
Two-Compartment Open Model
30
• The model can be depicted as follows:
31
32
33

More Related Content

What's hot

Absorption of drugs from non per os extravascular administration
Absorption of drugs from non per os extravascular administrationAbsorption of drugs from non per os extravascular administration
Absorption of drugs from non per os extravascular administrationSuvarta Maru
 
INTRODUCTION TO QUALITY BY DESIGN (QBD)
INTRODUCTION TO QUALITY BY DESIGN (QBD)INTRODUCTION TO QUALITY BY DESIGN (QBD)
INTRODUCTION TO QUALITY BY DESIGN (QBD)Chetan Pawar 2829
 
Two compartment model
Two compartment modelTwo compartment model
Two compartment modelRooma Khalid
 
METHOD OF RESIDUALS
METHOD OF RESIDUALSMETHOD OF RESIDUALS
METHOD OF RESIDUALSDivya Pushp
 
kinetics and drug stability
kinetics and drug stability kinetics and drug stability
kinetics and drug stability Raju Sanghvi
 
Physicochemical Properties effect on Absorption of Drugs
Physicochemical Properties effect on Absorption of DrugsPhysicochemical Properties effect on Absorption of Drugs
Physicochemical Properties effect on Absorption of DrugsSuraj Choudhary
 
Bioequivalence studies
Bioequivalence studiesBioequivalence studies
Bioequivalence studiesSujit Patel
 
Estimation of pharmacokinetic parameters
Estimation of pharmacokinetic parametersEstimation of pharmacokinetic parameters
Estimation of pharmacokinetic parametersKarun Kumar
 
one compartment model ppt
one compartment model pptone compartment model ppt
one compartment model pptSheetal Jha
 
Two compartment model iv bolus muju
Two compartment model iv bolus mujuTwo compartment model iv bolus muju
Two compartment model iv bolus mujuHirepravin
 
Pharmacokinetics / Biopharmaceutics - One compartment model IV bolus
Pharmacokinetics / Biopharmaceutics - One compartment model IV bolusPharmacokinetics / Biopharmaceutics - One compartment model IV bolus
Pharmacokinetics / Biopharmaceutics - One compartment model IV bolusAreej Abu Hanieh
 
Mechanism of drug absorption in git
Mechanism of drug absorption in gitMechanism of drug absorption in git
Mechanism of drug absorption in gitAnjita Khadka
 
Measurement of bioavailability
Measurement of bioavailabilityMeasurement of bioavailability
Measurement of bioavailabilityshikha singh
 
Document Maintenance in Pharmaceutical Industry
Document Maintenance in Pharmaceutical IndustryDocument Maintenance in Pharmaceutical Industry
Document Maintenance in Pharmaceutical IndustryNAKUL DHORE
 
Biopharmaceutics: Mechanisms of Drug Absorption
Biopharmaceutics: Mechanisms of Drug AbsorptionBiopharmaceutics: Mechanisms of Drug Absorption
Biopharmaceutics: Mechanisms of Drug AbsorptionSURYAKANTVERMA2
 

What's hot (20)

Absorption of drugs from non per os extravascular administration
Absorption of drugs from non per os extravascular administrationAbsorption of drugs from non per os extravascular administration
Absorption of drugs from non per os extravascular administration
 
Pharmacokinetic models
Pharmacokinetic  modelsPharmacokinetic  models
Pharmacokinetic models
 
INTRODUCTION TO QUALITY BY DESIGN (QBD)
INTRODUCTION TO QUALITY BY DESIGN (QBD)INTRODUCTION TO QUALITY BY DESIGN (QBD)
INTRODUCTION TO QUALITY BY DESIGN (QBD)
 
Two compartment model
Two compartment modelTwo compartment model
Two compartment model
 
METHOD OF RESIDUALS
METHOD OF RESIDUALSMETHOD OF RESIDUALS
METHOD OF RESIDUALS
 
Multicompartment Models
Multicompartment ModelsMulticompartment Models
Multicompartment Models
 
kinetics and drug stability
kinetics and drug stability kinetics and drug stability
kinetics and drug stability
 
Physicochemical Properties effect on Absorption of Drugs
Physicochemical Properties effect on Absorption of DrugsPhysicochemical Properties effect on Absorption of Drugs
Physicochemical Properties effect on Absorption of Drugs
 
Bioequivalence studies
Bioequivalence studiesBioequivalence studies
Bioequivalence studies
 
drug dissolution
drug dissolutiondrug dissolution
drug dissolution
 
Estimation of pharmacokinetic parameters
Estimation of pharmacokinetic parametersEstimation of pharmacokinetic parameters
Estimation of pharmacokinetic parameters
 
one compartment model ppt
one compartment model pptone compartment model ppt
one compartment model ppt
 
Two compartment model iv bolus muju
Two compartment model iv bolus mujuTwo compartment model iv bolus muju
Two compartment model iv bolus muju
 
Pharmacokinetics / Biopharmaceutics - One compartment model IV bolus
Pharmacokinetics / Biopharmaceutics - One compartment model IV bolusPharmacokinetics / Biopharmaceutics - One compartment model IV bolus
Pharmacokinetics / Biopharmaceutics - One compartment model IV bolus
 
Mechanism of drug absorption in git
Mechanism of drug absorption in gitMechanism of drug absorption in git
Mechanism of drug absorption in git
 
Master formula record
Master formula recordMaster formula record
Master formula record
 
Measurement of bioavailability
Measurement of bioavailabilityMeasurement of bioavailability
Measurement of bioavailability
 
Document Maintenance in Pharmaceutical Industry
Document Maintenance in Pharmaceutical IndustryDocument Maintenance in Pharmaceutical Industry
Document Maintenance in Pharmaceutical Industry
 
Bioavailability Studies
Bioavailability StudiesBioavailability Studies
Bioavailability Studies
 
Biopharmaceutics: Mechanisms of Drug Absorption
Biopharmaceutics: Mechanisms of Drug AbsorptionBiopharmaceutics: Mechanisms of Drug Absorption
Biopharmaceutics: Mechanisms of Drug Absorption
 

Similar to 3.3 Multi compartment models.pptx

Pharmacokinetics / Biopharmaceutics - Multi compartment IV bolus
Pharmacokinetics / Biopharmaceutics - Multi compartment IV bolusPharmacokinetics / Biopharmaceutics - Multi compartment IV bolus
Pharmacokinetics / Biopharmaceutics - Multi compartment IV bolusAreej Abu Hanieh
 
Week 4- the two open compartment
Week 4- the two open compartmentWeek 4- the two open compartment
Week 4- the two open compartmentlichlmh
 
TWO COMPARTMENT MODEL.pptx
TWO COMPARTMENT MODEL.pptxTWO COMPARTMENT MODEL.pptx
TWO COMPARTMENT MODEL.pptxashhBukhari
 
Multi compartment models
Multi compartment models Multi compartment models
Multi compartment models SafalataJain
 
anshu two compartment model 2.pptx
anshu two compartment model 2.pptxanshu two compartment model 2.pptx
anshu two compartment model 2.pptxAnshulvishwakarma10
 
Compartment Modelling
Compartment ModellingCompartment Modelling
Compartment ModellingPallavi Kurra
 
BP 604T unit 3 notes.docx
BP 604T unit 3 notes.docxBP 604T unit 3 notes.docx
BP 604T unit 3 notes.docxAlka Maral
 
Presentation on pharmacokinetic model by pallavi
Presentation on pharmacokinetic model by pallaviPresentation on pharmacokinetic model by pallavi
Presentation on pharmacokinetic model by pallaviPallavi Chalana
 
one compartment open model
one compartment open model one compartment open model
one compartment open model NadiaSraboni
 
Pharacokinetics power point for pharmacy
Pharacokinetics power point  for pharmacyPharacokinetics power point  for pharmacy
Pharacokinetics power point for pharmacyemebetnigatu1
 
lecture 4 Clinical pharmacokinetics.pptx
lecture 4 Clinical pharmacokinetics.pptxlecture 4 Clinical pharmacokinetics.pptx
lecture 4 Clinical pharmacokinetics.pptxWaqasAhmad535
 
Multicompartment model IV Bolus
Multicompartment model IV BolusMulticompartment model IV Bolus
Multicompartment model IV BolusHopeMasalu
 
Determination of absorption and elimination rates on base of compartment model
Determination of absorption and elimination rates on base of compartment modelDetermination of absorption and elimination rates on base of compartment model
Determination of absorption and elimination rates on base of compartment modelAbhinayJha3
 
Determination of absorption and elimination rates on base of compartment model
 Determination of absorption and elimination rates on base of compartment model Determination of absorption and elimination rates on base of compartment model
Determination of absorption and elimination rates on base of compartment modelAbhinayJha3
 
1 compartment model IV bolus administration equation
1 compartment model IV bolus administration equation1 compartment model IV bolus administration equation
1 compartment model IV bolus administration equationPrabhjot Singh Bajwa
 
Therapeutic drug monitoring LECTURE 2.pptx pharmaceutical sciences
Therapeutic drug monitoring LECTURE 2.pptx pharmaceutical sciencesTherapeutic drug monitoring LECTURE 2.pptx pharmaceutical sciences
Therapeutic drug monitoring LECTURE 2.pptx pharmaceutical scienceskhalafpharm
 
Non linear kinetics
Non linear kineticsNon linear kinetics
Non linear kineticsSuvarta Maru
 
Pharma co kinetics compartmental modeling
Pharma co kinetics compartmental modeling Pharma co kinetics compartmental modeling
Pharma co kinetics compartmental modeling Manjit Kaur
 

Similar to 3.3 Multi compartment models.pptx (20)

Pharmacokinetics / Biopharmaceutics - Multi compartment IV bolus
Pharmacokinetics / Biopharmaceutics - Multi compartment IV bolusPharmacokinetics / Biopharmaceutics - Multi compartment IV bolus
Pharmacokinetics / Biopharmaceutics - Multi compartment IV bolus
 
Week 4- the two open compartment
Week 4- the two open compartmentWeek 4- the two open compartment
Week 4- the two open compartment
 
TWO COMPARTMENT MODEL.pptx
TWO COMPARTMENT MODEL.pptxTWO COMPARTMENT MODEL.pptx
TWO COMPARTMENT MODEL.pptx
 
Pharmacokinetic Models
Pharmacokinetic ModelsPharmacokinetic Models
Pharmacokinetic Models
 
Multi compartment models
Multi compartment models Multi compartment models
Multi compartment models
 
anshu two compartment model 2.pptx
anshu two compartment model 2.pptxanshu two compartment model 2.pptx
anshu two compartment model 2.pptx
 
Compartment Modelling
Compartment ModellingCompartment Modelling
Compartment Modelling
 
Abp08.pptx
Abp08.pptxAbp08.pptx
Abp08.pptx
 
BP 604T unit 3 notes.docx
BP 604T unit 3 notes.docxBP 604T unit 3 notes.docx
BP 604T unit 3 notes.docx
 
Presentation on pharmacokinetic model by pallavi
Presentation on pharmacokinetic model by pallaviPresentation on pharmacokinetic model by pallavi
Presentation on pharmacokinetic model by pallavi
 
one compartment open model
one compartment open model one compartment open model
one compartment open model
 
Pharacokinetics power point for pharmacy
Pharacokinetics power point  for pharmacyPharacokinetics power point  for pharmacy
Pharacokinetics power point for pharmacy
 
lecture 4 Clinical pharmacokinetics.pptx
lecture 4 Clinical pharmacokinetics.pptxlecture 4 Clinical pharmacokinetics.pptx
lecture 4 Clinical pharmacokinetics.pptx
 
Multicompartment model IV Bolus
Multicompartment model IV BolusMulticompartment model IV Bolus
Multicompartment model IV Bolus
 
Determination of absorption and elimination rates on base of compartment model
Determination of absorption and elimination rates on base of compartment modelDetermination of absorption and elimination rates on base of compartment model
Determination of absorption and elimination rates on base of compartment model
 
Determination of absorption and elimination rates on base of compartment model
 Determination of absorption and elimination rates on base of compartment model Determination of absorption and elimination rates on base of compartment model
Determination of absorption and elimination rates on base of compartment model
 
1 compartment model IV bolus administration equation
1 compartment model IV bolus administration equation1 compartment model IV bolus administration equation
1 compartment model IV bolus administration equation
 
Therapeutic drug monitoring LECTURE 2.pptx pharmaceutical sciences
Therapeutic drug monitoring LECTURE 2.pptx pharmaceutical sciencesTherapeutic drug monitoring LECTURE 2.pptx pharmaceutical sciences
Therapeutic drug monitoring LECTURE 2.pptx pharmaceutical sciences
 
Non linear kinetics
Non linear kineticsNon linear kinetics
Non linear kinetics
 
Pharma co kinetics compartmental modeling
Pharma co kinetics compartmental modeling Pharma co kinetics compartmental modeling
Pharma co kinetics compartmental modeling
 

Recently uploaded

Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhikauryashika82
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Celine George
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationnomboosow
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxVishalSingh1417
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104misteraugie
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...christianmathematics
 
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...Sapna Thakur
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDThiyagu K
 
Disha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdfDisha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdfchloefrazer622
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Sapana Sha
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingTechSoup
 
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...PsychoTech Services
 

Recently uploaded (20)

Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communication
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptx
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
Advance Mobile Application Development class 07
Advance Mobile Application Development class 07Advance Mobile Application Development class 07
Advance Mobile Application Development class 07
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 
Disha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdfDisha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdf
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
 

3.3 Multi compartment models.pptx

  • 2. 2 One-compartment model adequately describes pharmacokinetics of many drugs. Instantaneous distribution equilibrium is assumed in such cases and decline in the amount of drug in the body with time is expressed by an equation with a monoexponential term (i.e. elimination). However, instantaneous distribution is not truly possible for an even larger number of drugs and drug disposition is not monoexponential but bi- or multi-exponential.
  • 3. REASON 3 The body is composed of a heterogeneous group of tissues each with different degree of blood flow and affinity for drug and therefore different rates of equilibration. Ideally, a true pharmacokinetic model should be the one with a rate constant for each tissue undergoing equilibrium, which is difficult mathematically.
  • 4. ASSUMPTIONS 4 Blood/plasma and the highly perfused tissues such as tissues such as brain, heart, lung, liver and kidneys constitute the central compartment Other tissues with similar distribution characteristics are pooled together to constitute peripheral compartments tissues on the basis of similarity in their distribution characteristics Intravenously administered medications are introduced directly into the central compartment Irreversible drug elimination, either by hepatic biotransformation or renal excretion, takes place only from the central compartment Reversible distribution occurs between central and peripheral compartments, with a finite time required for distribution equilibrium to be attained After drug equilibration between drug and the peripheral compartments, elimination of drug follows first-order kinetics All rate processes involving passage of drug in and out of individual compartment are first-order processes and plasma level-time curve is best described by sum of series of exponential terms each corresponding to first-order rate processes associated with a given compartment The peripheral compartment is usually inaccessible to direct measurement and is not a site of drug elimination or clearance
  • 5. 5 Multicompartment characteristics of a drug are best understood by giving it as i.v. bolus and observing the manner in which the plasma concentration declines with time. The number of exponentials required to describe such a plasma level-time profile determines the number of kinetically homogeneous compartments into which a drug will distribute
  • 6. TWO-COMPARTMENT OPEN MODEL The commonest of all multi-compartment models is a two-compartment model 6 Body tissues Central Compartment or Compartment 1 Comprising of blood and highly perfused tissues like liver, lungs, kidneys, etc. that equilibrate with the drug rapidly. Elimination usually occurs from this compartment. Peripheral or Tissue Compartment or Compartment 2 Comprising of poorly perfused and slow equilibrating tissues such as muscles, skin, adipose, etc. and considered as a hybrid of several functional physiologic units.
  • 7. Classification of a particular tissue, for example brain, into central or peripheral compartment depends upon the physicochemical properties of the drug. A highly lipophilic drug can cross the BBB and brain would then be included in the central compartment. In contrast, a polar drug cannot penetrate the BBB and brain in this case will be a part of peripheral compartment despite the fact that it is a highly perfused organ. 7
  • 8. • The plasma concentration for a drug that follows a two-compartment model declines biexponentially as the sum of two first-order processes – distribution and elimination • Depending upon the compartment from which the drug is eliminated, the two- compartment model can be categorized into 3 types*: • Two-compartment model with elimination from central compartment • Two-compartment model with elimination from peripheral compartment • Two-compartment model with elimination from both the compartments * In the absence of information, elimination is assumed to occur exclusively from central compartment. 8
  • 10. • The model can be depicted as shown below with elimination from the central compartment 10
  • 12. • These two processes are not evident to the eyes in a regular arithmetic plot but when a semilog plot of C versus t is made, they can be identified 12 Changes in drug concentration in the central (plasma) and the peripheral compartment after i.v. bolus of a drug that fits two-compartment model
  • 13. PHASES OBSERVED IN THE CENTRAL COMPARTMENT Distributive phase • Rapid decline Pseudo distributive phase • Slow rate. Mainly due to start of elimination Elimination phase • Slow rate 13
  • 14. • In contrast to the central compartment, the drug concentration in the peripheral compartment first increases and reaches a maximum. This corresponds with the distribution phase. Following peak, the drug concentration declines which corresponds to the post-distributive phase 14
  • 15. • Let K12 and K21 be the first-order distribution rate constants depicting drug transfer between the central and the peripheral compartments and let subscript c and p define central and peripheral compartment respectively. • The rate of change in drug concentration in the central compartment is given by: 𝑑𝐶 𝑑𝑡 = 𝑟𝑎𝑡𝑒 𝑖𝑛 − 𝑟𝑎𝑡𝑒 𝑜𝑢𝑡 15
  • 16. • Extending the relationship X = VdC to the above equation, we have • where Xc and Xp are the amounts of drug in the central and peripheral compartments respectively and Vc and Vp are the apparent volumes of the central and the peripheral compartment respectively. 16
  • 17. • The rate of change in drug concentration in the peripheral compartment is given by: • Integration of above equations yields equations that describe the concentration of drug in the central and peripheral compartments at any given time t: 17 Where Xo = i.v. bolus dose, and are hybrid first-order constants for the rapid distribution phase and the slow elimination phase respectively which depend entirely upon the first-order constants K12, K21 and KE.
  • 18. • Above equation can be written in simplified form as: • where A and B are also hybrid constants for the two exponents and can be resolved graphically by the method of residuals 18 Where Co = plasma drug concentration immediately after i.v. injection.
  • 19. • The constants K12 and K21 that depict reversible transfer of drug between compartments are called as micro constants or transfer constants. • The mathematical relationships between hybrid and micro constants are given as: 19
  • 20. METHOD OF RESIDUALS • The biexponential disposition curve obtained after i.v. bolus of a drug that fits two compartment model can be resolved into its individual exponents by the method of residuals. 𝐶𝑐 = 𝐴𝑒−𝛼𝑡 − 𝐵𝑒−𝛽𝑡 20
  • 21. • As apparent from the biexponential curve, the initial decline due to distribution is more rapid than the terminal decline due to elimination i.e. the rate constant α >>> ß and hence the term e–αt approaches zero much faster than does e–βt. Thus, equation reduces to: 𝐶 = 𝐵𝑒−𝛽𝑡 • Converting to log form log 𝐶 = log 𝐵 − 𝛽𝑡 2.303 21
  • 22. • where 𝐶= back extrapolated plasma concentration values. • A semilog plot of 𝐶 versus t yields the terminal linear phase of the curve having slope –β/2.303 and when back extrapolated to time zero, yields y-intercept log B. • The t½ for the elimination phase can be obtained from equation t½ = 0.693/ . 22
  • 23. • Subtraction of extrapolated plasma concentration values of the elimination phase from the corresponding true plasma concentration values yields a series of residual concentration values Cr. 𝐶𝑟 = 𝐶 − 𝐶 = 𝐴𝑒−𝛼𝑡 • Converting to log form log 𝐶𝑟 = 𝑙𝑜𝑔 𝐴 − 𝛼𝑡 2.303 23
  • 24. • A semilog plot of Cr versus t yields a straight line with slope –α/2.303 and Y- intercept log A 24 Resolution of biexponential plasma concentration-time curve by the method of residuals for a drug that follows two-compartment kinetics on i.v. bolus administration.
  • 25. ASSESSMENT OF PHARMACOKINETIC PARAMETERS • It must be noted that for two- compartment model, KE is the rate constant for elimination of drug from the central compartment and is the rate constant for elimination from the entire body. Overall elimination t½ should therefore be calculated from β. 25
  • 26. 26 The apparent volume of central compartment Vc is given as: AUC is given as: Apparent volume of peripheral compartment can be obtained from equation The apparent volume of distribution at steady-state or equilibrium can now be defined as It is also given as: Total systemic clearance is given as:
  • 28. • The model can be depicted as shown below with elimination from the central compartment. 28
  • 29. 29
  • 30. EXTRAVASCULAR ADMINISTRATION – FIRST-ORDER ABSORPTION Two-Compartment Open Model 30
  • 31. • The model can be depicted as follows: 31
  • 32. 32
  • 33. 33