Pharmacokinetics (PK) is the study of how the body interacts with administered substances for the entire duration of exposure (medications for the sake of this article). This is closely related to but distinctly different from pharmacodynamics, which examines the drug's effect on the body more closely.
It includes Introductory part about what is Dissolution...then Mechanism of Dissolution is elaborated...Theories of Dissolution also given..It also includes Factors affecting Dissolution profile..Along with References given below for easily searching..
Formulation and evaluation of transdermal drug delivery system (TDDS)SanketPawar47
This is slide about formulation and evaluations of transdermal drugs delivery system . Introduction , general structure of TDDS , basic components of TDDS , approch for formulation of TDDS , manufacturing processes for TDDS ,and evaluations of TDDS
It includes Introductory part about what is Dissolution...then Mechanism of Dissolution is elaborated...Theories of Dissolution also given..It also includes Factors affecting Dissolution profile..Along with References given below for easily searching..
Formulation and evaluation of transdermal drug delivery system (TDDS)SanketPawar47
This is slide about formulation and evaluations of transdermal drugs delivery system . Introduction , general structure of TDDS , basic components of TDDS , approch for formulation of TDDS , manufacturing processes for TDDS ,and evaluations of TDDS
United State Pharmacopoeia (USP)The establishment of a rational relationship between a biological property, or a parameter derived from a biological property produced by a dosage form, and a physicochemical property or characteristic of the same dosage form.
Food and Drug Administration (FDA) definitionIVIVC is a predictive mathematical model describing the relationship between an in vitro property of a dosage form and a relevant in vivo response. Generally, the in vitro property is the rate or extent of drug dissolution or release while the in vivo response is the plasma drug concentration or amount of drug absorbed.
An in-vitro in-vivo correlation (IVIVC) has been defined by the U.S. Food and Drug Administration (FDA) as "a predictive mathematical model describing the relationship between an in-vitro property of a dosage form and an in-vivo response".
IN-VITRO-IN VIVO CORRELATION (IVIVC).pptxRAHUL PAL
An in vitro – in vivo correlation (IVIVC) is defined by the U.S Food and Drug Administration (FDA) as a predictive mathematical model describing the relationship between the in vitro property of an oral dosage form and relevant in vivo response.
introduction
mechanisms of protein drug binding
binding of drugs
binding of drugs to blood components
determination of protein drug binding
factors affecting
significance
United State Pharmacopoeia (USP)The establishment of a rational relationship between a biological property, or a parameter derived from a biological property produced by a dosage form, and a physicochemical property or characteristic of the same dosage form.
Food and Drug Administration (FDA) definitionIVIVC is a predictive mathematical model describing the relationship between an in vitro property of a dosage form and a relevant in vivo response. Generally, the in vitro property is the rate or extent of drug dissolution or release while the in vivo response is the plasma drug concentration or amount of drug absorbed.
An in-vitro in-vivo correlation (IVIVC) has been defined by the U.S. Food and Drug Administration (FDA) as "a predictive mathematical model describing the relationship between an in-vitro property of a dosage form and an in-vivo response".
IN-VITRO-IN VIVO CORRELATION (IVIVC).pptxRAHUL PAL
An in vitro – in vivo correlation (IVIVC) is defined by the U.S Food and Drug Administration (FDA) as a predictive mathematical model describing the relationship between the in vitro property of an oral dosage form and relevant in vivo response.
introduction
mechanisms of protein drug binding
binding of drugs
binding of drugs to blood components
determination of protein drug binding
factors affecting
significance
Pharmacokinetics of IV infusion, one-compartment open modelAsuprita Patel
OCOM is the simplest model that represents the body as a single homogeneous system. Rapid i.v. injection is unsuitable when the drug has potential to precipitate toxicity or when maintenance of a stable concentration or amount of drug in the body is desired.
In such situation, the drug is administered at a constant rate by i.v. infusion.
KINETICS OF MULTIPLE DOSING under the Unit Multicompartment Models According to New PCI syllabus 2017 by Ms. Preeti Patil-Vibhute, Assistant Professor, Sarojini College of Pharmacy, Kolhapur.
stability The ability of a pharmaceutical product to retain its chemical, physical, microbiological and biopharmaceutical properties within specified limits throughout its shelf-life.Why is stability of a drug important?
Drug stability affects the safety and efficacy of the drug product; degradation impurities may cause a loss of efficacy and generate possible adverse effects. Therefore, achieving the chemical and physical stability of drugs is essential to ensure their quality and safety.Common factors that affect this stability include temperature, light, pH, oxidation and enzymatic degradation. Special considerations are also required when dealing with chiral molecules, deuterated internal standards and large biomolecules.
Why is water solubility An important characteristic of a drug?
Solubility is the important parameter to achieve desired concentration of drugs in the systemic circulation that could exert desired physiological response. Any drug to be absorbed must be present in the form of an aqueous solution at the site of absorption.
What is solubility in physical pharmacy?
Solubility is the concentration of a solute when the solvent has dissolved all the solute that it can at a given temperature. A useful definition of solubility is the concentration of solute in a saturated solution at equilibrium.Solubility is one of the important parameters to achieve desired concentration of drug in systemic circulation for achieving required pharmacological response [12]. Poorly water soluble drugs often require high doses in order to reach therapeutic plasma concentrations after oral administration.
Solubility is defined as the maximum amount of a substance that will dissolve in a given amount of solvent at a specified temperature. Solubility is a characteristic property of a specific solute–solvent combination, and different substances have greatly differing solubilities.
Report Back from SGO 2024: What’s the Latest in Cervical Cancer?bkling
Are you curious about what’s new in cervical cancer research or unsure what the findings mean? Join Dr. Emily Ko, a gynecologic oncologist at Penn Medicine, to learn about the latest updates from the Society of Gynecologic Oncology (SGO) 2024 Annual Meeting on Women’s Cancer. Dr. Ko will discuss what the research presented at the conference means for you and answer your questions about the new developments.
Ethanol (CH3CH2OH), or beverage alcohol, is a two-carbon alcohol
that is rapidly distributed in the body and brain. Ethanol alters many
neurochemical systems and has rewarding and addictive properties. It
is the oldest recreational drug and likely contributes to more morbidity,
mortality, and public health costs than all illicit drugs combined. The
5th edition of the Diagnostic and Statistical Manual of Mental Disorders
(DSM-5) integrates alcohol abuse and alcohol dependence into a single
disorder called alcohol use disorder (AUD), with mild, moderate,
and severe subclassifications (American Psychiatric Association, 2013).
In the DSM-5, all types of substance abuse and dependence have been
combined into a single substance use disorder (SUD) on a continuum
from mild to severe. A diagnosis of AUD requires that at least two of
the 11 DSM-5 behaviors be present within a 12-month period (mild
AUD: 2–3 criteria; moderate AUD: 4–5 criteria; severe AUD: 6–11 criteria).
The four main behavioral effects of AUD are impaired control over
drinking, negative social consequences, risky use, and altered physiological
effects (tolerance, withdrawal). This chapter presents an overview
of the prevalence and harmful consequences of AUD in the U.S.,
the systemic nature of the disease, neurocircuitry and stages of AUD,
comorbidities, fetal alcohol spectrum disorders, genetic risk factors, and
pharmacotherapies for AUD.
Knee anatomy and clinical tests 2024.pdfvimalpl1234
This includes all relevant anatomy and clinical tests compiled from standard textbooks, Campbell,netter etc..It is comprehensive and best suited for orthopaedicians and orthopaedic residents.
micro teaching on communication m.sc nursing.pdfAnurag Sharma
Microteaching is a unique model of practice teaching. It is a viable instrument for the. desired change in the teaching behavior or the behavior potential which, in specified types of real. classroom situations, tends to facilitate the achievement of specified types of objectives.
These simplified slides by Dr. Sidra Arshad present an overview of the non-respiratory functions of the respiratory tract.
Learning objectives:
1. Enlist the non-respiratory functions of the respiratory tract
2. Briefly explain how these functions are carried out
3. Discuss the significance of dead space
4. Differentiate between minute ventilation and alveolar ventilation
5. Describe the cough and sneeze reflexes
Study Resources:
1. Chapter 39, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 34, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 17, Human Physiology by Lauralee Sherwood, 9th edition
4. Non-respiratory functions of the lungs https://academic.oup.com/bjaed/article/13/3/98/278874
Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
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ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
New Directions in Targeted Therapeutic Approaches for Older Adults With Mantl...i3 Health
i3 Health is pleased to make the speaker slides from this activity available for use as a non-accredited self-study or teaching resource.
This slide deck presented by Dr. Kami Maddocks, Professor-Clinical in the Division of Hematology and
Associate Division Director for Ambulatory Operations
The Ohio State University Comprehensive Cancer Center, will provide insight into new directions in targeted therapeutic approaches for older adults with mantle cell lymphoma.
STATEMENT OF NEED
Mantle cell lymphoma (MCL) is a rare, aggressive B-cell non-Hodgkin lymphoma (NHL) accounting for 5% to 7% of all lymphomas. Its prognosis ranges from indolent disease that does not require treatment for years to very aggressive disease, which is associated with poor survival (Silkenstedt et al, 2021). Typically, MCL is diagnosed at advanced stage and in older patients who cannot tolerate intensive therapy (NCCN, 2022). Although recent advances have slightly increased remission rates, recurrence and relapse remain very common, leading to a median overall survival between 3 and 6 years (LLS, 2021). Though there are several effective options, progress is still needed towards establishing an accepted frontline approach for MCL (Castellino et al, 2022). Treatment selection and management of MCL are complicated by the heterogeneity of prognosis, advanced age and comorbidities of patients, and lack of an established standard approach for treatment, making it vital that clinicians be familiar with the latest research and advances in this area. In this activity chaired by Michael Wang, MD, Professor in the Department of Lymphoma & Myeloma at MD Anderson Cancer Center, expert faculty will discuss prognostic factors informing treatment, the promising results of recent trials in new therapeutic approaches, and the implications of treatment resistance in therapeutic selection for MCL.
Target Audience
Hematology/oncology fellows, attending faculty, and other health care professionals involved in the treatment of patients with mantle cell lymphoma (MCL).
Learning Objectives
1.) Identify clinical and biological prognostic factors that can guide treatment decision making for older adults with MCL
2.) Evaluate emerging data on targeted therapeutic approaches for treatment-naive and relapsed/refractory MCL and their applicability to older adults
3.) Assess mechanisms of resistance to targeted therapies for MCL and their implications for treatment selection
2. One Compartment Model:
Intravenous Bolus Injection:
when a drug that distributes rapidly in the body is given in the form of a rapid intravenous
injection (i.e. i.v. bolus or slug) . The rate of absorption is neglected. The model can be
depicted as follows:
KE
Blood and other body tissues
The general expression for rate of drug presentation to the body is:
dX/dt = Rate in (availability) – Rate out (Elimination) 1
Since rate in or absorption is absent, the equation becomes:
dX/dt = - Rate out 2
If the rate out or elimination follows first-order kinetics, then:
dX/dt = -KEX
Where,
KE= first - order elimination rate constant , and
X = amount of drug in the body at any time to be eliminated.
-ve sign indicates that the drug is being lost from the body.
3. Absorption Rate Constant:
Absent
Elimination Rate Constant:
The decline in the plasma drug concentration is only due to elimination of drug from the
body (and not due to distribution) the phase being called as elimination phase.
Elimination phase can be characterized by 3 parameters:
Elimination rate constant
Elimination half-life and
Clearance
Integration of eq.3 yields:
In X =In Xo –KE t 4
Where,
Xo= amount of drug at time t=0 i.e, the initial amount of drug injected.
Eq. 4 can also written in the exponential form as:
X= X oe –K
e
t 5
The above equation shows that disposition of a drug that follows one-compartment kinetics is
monoexponential.
4. Transforming eq 4 into common logarithms (log base 10), we get:
log X =log Xo –KE t/2.303 6
Since it is difficult to determine directly the amount of drug in the body X, advantage
is taken of the fact that a constant relationship exists between drug concentration in
plasma C and X; thus:
X= VdC 7
Where,
Vd= proportionality constant popularly known as the apparent volume of distribution.
It is a pharmacokinetic parameter that permits the use of plasma drug concentration in
place of amount of drug in the body. The eq.5 therefore becomes:
log C =log Co –KE t/2.303 8
Where,
Co= plasma drug concentration immediately after i.v . Injection.
Eq 8 is that of a straight line
KE = Ke +Km+Kb+Kl+…………………………. 9
5.
6. Fraction of drug eliminated by a particular route can be evaluated if the number of
rate constants involved and their values are known. Fraction of drug excreted
unchanged in the urine Fe and fraction of drug metabolized Fm can be given as:
Fe = Ke/KE
Fm= Km/KE
Elimination Half-life:
Also called as biological half-life. It is defined as the time taken for the amount of
drug in the body as well as plasma concentration to decline by one-half or 50% its
initial value. It is expressed in hours or minutes. Half-is related to elimination rate
constant by following equation:
t1/2 = 0.693/KE 1
Half- life is a secondary parameter that depends upon the primary parameters
clearance and apparent volume of distribution according to following equation:
t1/2 = 0.693Vd/CLT 2
7. Distribution:
Apparent Volume of Distribution:
Clearance and apparent volume of distribution are two separate and
independent pharmacokinetic characteristics of a drug. Since they are closely related
with the physiologic mechanisms in the body, they are called as primary parameters.
Vd = amount of drug in the body/ Plasma drug concentration
= X/C 1
The best way of estimating Vd of a drug is administering it by rapid IV injection and
using the following equation:
Vd = Xo/Co = i.v. bolus dose/Co 2
Non compartmental method for estimating Vd,
Vd (area) = Xo / KE .AUC. 3
8. IV Bolus- Metabolite In Blood/Plasma:
The rate constants Kf and Km are the representative first order rate constants for
metabolite formation and elimination, respectively . The time course of metabolite levels in
the body is a function of the rates of formation and elimination of the drug, i.e., the
difference between the rate of formation of the metabolite in the body and is rate of
elimination . A differential equation may be written for the rate of change of metabolite.
In order to use for calculation of various pharmacokinetic parameters of the drug,
the relative values of the overall elimination rate constant, K and elimination rate constant
metabolite, Km , are to be considered. Km is concentrated with a metabolite and K is
concerned with the parent drug. Three possible situations may arise, which have to be dealt
separately.
Case 1: Km is greater than K
Case 2: K is greater than Km
Case 3: K=Km
9. One Compartment Open Model:
Intravenous Infusion:
Rapid IV injection is unsuitable when the drug has potential or precipitate or
toxicity or when maintenance of a stable concentration or amount of drug in the body is
desired. In such a situation , the drug ( for example, several antibiotics, theophylline,
procainamide, etc.) is administered at a constant rate infusion is usually much longer than
the half-life of the drug.
Advantages of Such Zero Order Infusion Includes:
Ease of control of the rate of infusion to fit it into an individual patient needs.
Prevents fluctuating maxima and minima (peak and valley) plasma level, desired
especially when the drug has a narrow therapeutic index.
Other drugs , electrolytes and nutrients can be conveniently administered
simultaneously by the same infusion line in critically ill patients.
10. The model can be represented as follows:
KE
Drug Ro Blood and other body tissues elimination
Zero – order
infusion rate
At any time during infusion, the amount of drug in the body, dX/dt is the difference
between the zero-order rate of drug infusion Ro and first-order rate of elimination , -Ke X
dX/dt = Ro –KEX 1
Integration and rearrangement of above eq 1 yields:
X= Ro /KE (1- e-K
E
t) 2
Since X= Vd C, the eq 2 can be transformed into concentration terms as follows:
C= Ro/ KEVd (1-e –K
E
t) = Ro/CLT (1-e-K
E
t) 3
At the start of constant rate infusion, the amount of drug in the body is zero and hence,
there is no elimination. As the time passes, the amount of drug in the body rises gradually
until a point after which rate of elimination equals the rate of infusion i.e . The
concentration of drug in the plasma approaches a constant value called as steady-state,
plateau or infusion equilibrium.
11.
12. At steady state , the rate of change of amount of drug in the body is zero, hence , the eq 1
becomes:
0= Ro –KEX
KEXss = Ro 4
Transforming to concentration terms and rearranging the equation:-
C =Ro/KEVd = Ro/CLT i.e. infusion rate 5
clearance
Substituting Ro/CLT = Css from eq 5 In eq 3 we get:
C= Css (1-e-K
E
t) 6
Rearrangement yields:
[Css –C /Css] = e -K
E
t 7
Transforming into log form, the eq becomes:
log [Css –C /Css] = -K
E
t /2.303 8
A semilog plot of [Css –C /Css] Vs. t results in a straight line with slope
- K
E
t /2.303
13.
14. Multiple Dose Injections/Infusion Plus Loading Dose:
It takes a very long time for the drugs having longer half-lives before the
plateau concentration is reached (e.g. Phenobarbital , 5 days). Thus, initially , such drugs
have sub-therapeutic concentrations. This can be overcome by administering an IV loading
dose large enough to yield the desired steady-state immediately upon injection prior to
starting the infusion. It should than be followed immediately by IV infusion at a rate
enough to maintain this concentration.
Amount of Drug In The Body/ Extent of Absorption:
Recalling once again the relationship X= Vd C, the eq for the computing the loading dose
Xo,L =CSS Vd
Substitution of Css = Ro / KE Vd from the eq 5 in above equation yields another expression
for loading dose in terms of infusion rate:
Xo,L = Ro / KE
15. Extent of Absorption:
The equation describing the plasma concentration-time profile following
simultaneous IV loading dose(IV bolus) and constant rate IV infusion is the sum of two
equations describing each process:
C= Xo,L / Vd e-K
E
t +Ro /KEVd (1-e-K
E
t)
AUC:
The first order elimination rate constant and elimination half-life can be computed
from a semilog plot of post-infusion concentration-time data. Apparent volume of
distribution and total systemic clearance can be estimated from steady-state concentration
and infusion rate. These two parameters can also be computed from the total area under
the curve till the end of infusion:
AUC = RoT/KEVd = RoT/CLT =CssT
Where T= infusion time
16. Apparent Volume of Distribution:
Clearance and apparent volume of distribution are two separate and
independent pharmacokinetic characteristics of a drug. Since they are closely related with
the physiologic mechanisms in the body, they are called as primary parameters.
Vd = amount of drug in the body = X
Plasma drug concentration C
The best way of estimating Vd of a drug is administering it by IV infusion and using the
following equation:
Vd = Xo /Co = i.v. infusion dose/Co
Post Infusion- Plasma Concentration of A Drug:
The rate of change in the plasma concentration after stopping the infusion can be
expressed by the following by the following eq:
dC/dt= - KC
Whether the infusion is stopped before the steady state or after the steady state is reached ,
plasma drug concentrations decline exponentially with the slope equal to –K /2.303.
17. If the infusion is stopped after reaching steady-state then,
dC/dt = - KCss
If the infusion is stopped before reaching steady state level, the post infusion
concentration of the drug in plasma is calculated using following equation:
C= [Ko/Vd K (1- e-kt)] (e-kt)]
Extra vascular Administration:
when a drug is administered by extra vascular route (oral, IM,
rectal, etc), absorption is prerequisite for its therapeutic activity. The rate of absorption
may be described mathematically as a zero –order or first –order process. A large no. of
plasma concentration –time profiles can be described by one-compartment model with
first-order process. However, under certain conditions, the absorption of some drugs
may be better described by assuming zero order kinetics (constant rate kinetics).
Zero order absorption is characterized by a constant rate of
absorption. It is independent of amount remaining to be absorbed (ARA), and its
regular ARA Vs. t plot is linear with slope equal to rate of absorption while semilog
plot is described by an ever-increasing gradient with time. The first –order absorption
process is distinguished by a decline in the rate with ARA i.e. absorption rate is
dependent upon ARA; its regular plot is curvilinear and semilog plot straight line with
absorption rate constant as its slope.
18.
19. After EV administration , the rate of change in the amount of drug in the body dX/dt is
difference between the rate of input(absorption) dXev/dt and rate of output (elimination)
dXE/dt.
dX/dt=Rate of absorption- Rate of elimination
dX /dt = dX ev/dt – dXE/dt
20. During the absorption phase, the rate of absorption is greater than the rate of
elimination
dX ev/dt > dXE/dt
At peak plasma concentration, the rate of absorption equals the rate of
elimination and the change in amount of drug in the body is zero.
dX ev/dt = dXE/dt
During the post-absorption phase, there is some drug at they extra vascular site
still remaining to be absorbed and the rate of elimination at this stage is greater than the
absorption rate.
dX ev/dt < dXE/dt
After completion of drug absorption, its rate becomes zero and plasma level
time curve is characterized only by the elimination phase.
21. Zero-Order Absorption Models:
This model is similar to that for constant rate infusion.
KE
Drug at EV site Ro Blood and other body tissues elimination
Zero – order
infusion rate
The rate of drug absorption , as in case of several controlled rug delivery systems, is
constant and continues until amount of drug at the absorption site (e.g.GIT) is depleted. All the
equation that explain the plasma concentration- time profile for constant rate IV infusion are
also applicable.
First-Order Absorption Model:
For a drug that enters the body by a first-order absorption process, gets distributed in the
body according to one-compartment kinetics and is eliminated by a first-order process, the
model can be depicted as follows:
Drug at EV site Ro Blood and
first – order
infusion rate
elimination
KE
other body tissues
22. The differential form of equation:
dX/dt = KaXa -KEX
Where,
Ka= first-order absorption rate constant , and
Xa = amount of drug at the absorption site remaining to be absorbed i.e. ARA.
Assessment of Pharmacokinetic Parameters:
Cmax and tmax: at peak plasma concentration, the rate of absorption equals to rate of
elimination i.e., KaXa = KEX and the rate of change in plasma drug concentration dC/dt=0.
This rate can be obtained by differentiating the eq:
dC/dt = KaFXo/Vd (Ka-KE) [-KEe-K
E
t + Ka e –Kat]=0
tmax = 2.303 log Ka/KE/Ka-KE
Cmax = FXo e-k
E
tmax/Vd
= FXo e-1/Vd
= 0.37 FXo /Vd
23. Elimination Rate Constant:
This parameter can be computed from the elimination phase of the plasma
level time profile.
C= KaFXo/Vd (Ka-KE) e-K
E
t
Absorption Rate Constant:
It can be calculated by the method of residuals. The technique is also known as
feathering, peeling and stripping. It is commonly used in pharmacokinetics to resolve a
multi exponential curve into its individual components. For a drug that follows one-
compartment kinetics and administered EV the concentration of drug in plasma is
expressed by a bio exponential equation.
C = KaFXo/Vd (Ka-KE) {e-K
E
t - e –Kat }=0
Ideally , the extrapolated and the residual lines intersect each other on y-axis i.e.
at time t=0 and there is no lag in absorption . If such an intersection occurs at a time
greater than zero, it indicates time lag . It is defined as the difference between drug
administration and start of absorption process. Lag time should not be confused with
onset time.
24. The above method for the estimation of ka is a curve-fitting method. The method is
best suited for drugs which are rapidly and completed absorbed and follow one-
compartment kinetics even when given IV . If the absorption of the drug is affected in
some way such as gastric motility or enzymatic degradation and if the drug shows multi
compartment characteristics after IV administration , then Ka computed by curve-
fitting method is incorrect even if the drug were truly absorbed by first-order kinetics.
The Ka so obtained is at best, estimate of first-order disappearance of drug from the
GIT rather than of first-order appearance in the systemic circulation.
Wagner- Nelson Method for Estimation of Ka:
One of the best alternatives to curve-fitting method in the estimation of
Ka is Wagner- Nelson method. The method involves determination of Ka from percent
unabsorbed –time plots and does not require the assumption of zero or first-order
absorption.
After oral administration of a single dose of a drug, at any given time,
the amount of absorbed into the systemic circulation XA, is the sum of amount of drug
in the body X and the amount of drug eliminated from the body XE. Thus:
XA= X+XE 1
25. The amount of drug in the body is X= VdC. The amount of drug eliminated at any time t
can be calculated as follows:
XE=KEVd [AUC]t
0 2
Substitution of values of X and XE in the eq 1 yields:
XA= vdc+ KEVd [AUC]t
0 3
The total amount of drug absorbed into the systemic circulation from time zero to infinity
can be given as:
XA= VdC+KEVd [AUC]0
4
Since at t= α, C =0 , the above equation reduces to:
XA= KEVd [AUC]0
5
The fraction of drug absorbed at any time t is given as:
XA= VdC+KEVd [AUC]0/XA= KEVd [AUC]0
6
= C+KE[AUC]t
o/KE[AUC]o
7
Percent drug unabsorbed at any time is therefore:
%ARA = [1- XA /XA] 100 = [1- C+KE[AUC]t
o/KE[AUC]o]100 8
26.
27. Multi Compartment Models:
The one compartment model adequately describes pharmacokinetics
of many drugs. Instantaneous distribution is not truly possible for an even larger no. of
drugs and drug disposition is not monoexponential but bi or multi-exponential. This is
because the body is composed of a heterogenous group of tissues each with different
degree of blood flow and affinity for the drug and therefore different rates of
equilibration.
A true pharmacokinetic model should be the one with a rate constant
for each tissue undergoing equilibrium, which is difficult mathematically. The best
approach is to pool together tissues on the basis of similarity in the distribution
characteristics. As for one-compartment models, drug disposition in the multi
compartment systems is also assumed to occur by first-order. Multicompartment
characteristics of a drug are best understood by giving it as IV bolus and by observing
the manner in which the plasma concentration declines with the time. The no. of
exponentials required to describe such a plasma level-time profile determines the no. of
kinetically homogeneous compartments into which a drug will distribute.
28. Two Compartmental Open Model:
The commonest of multicompartmental models is two compartment model. In such a
model, the body tissues are broadly classified into 2 categories:
Central compartment or compartment 1: comprising of blood and highly perfused
tissues like liver, lungs, kidneys , etc that equilibrate 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.
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 compartment.
In the absence of information , elimination is assumed to occur exclusively from central
compartment.
29. Two – Compartment Open Model – Intravenous:
Bolus Administration:
K12
Central compartment Peripheral compartment
KE
K21
After the IV bolus of a drug that follows two-compartment kinetics, the decline in the
plasma concentration is bioexponential indicating the presence of two disposition
processes viz. distribution and elimination. These two processes are not evident to the eyes
in a regular arithmetic plot but when a semilog plot of C Vs. t is made, they can be
identified. The concentration of drug in the central compartment to the peripheral
compartment. The phase during which this occurs is therefore called as the distributive
phase. After sometime, a pseudo-distribution equilibrium is achieved between the two
compartments following which the subsequent loss of drug from the central compartment
is slow and mainly due to elimination. This second , slower rate process, is called as the
post-distributive or elimination phase. I 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.
30.
31. 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:
dCc/dt = K21 Cp – K12 Cc – KECc 1
Extending the relationship X=Vd c to the above equation, we have
dCc/dt = K21 Xp /Vp– K12 Xc /Vp- KEX c/Vp 2
Where,
Xc and Xp = amounts of drug in the central and peripheral compartments
Vc and Vp= apparent volumes of central and peripheral compartments
32. The rate of change in drug concentration in the peripheral compartment is given by:
dCp/dt = K12 Cc - K21 Cp 3
= K21 Xc /Vc– K12 Xp /Vp 4
Cc= Xo/Vc [ (K21 – α/β-α)] e –αt +[(K21- α/β-α)] e –βt 5
Cp= Xo/Vp [ (K21 – α/β-α)] e –αt +[(K21- α/β-α)] e –βt 6
Where Xo = IV bolus dose, α and β are hybrid first-order constants for the rapid
distribution phase and the slow elimination phase respectively which depend entirely
upon the first-order constants
The constant 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:
α + β= K12+K21+KE 7
α β= K21KE 8
Eq. 5 can be written as:
Cc= A e –αt + B e –βt 9
Cc= Distribution exponent + Elimination exponent.
33. Where,
A and B= hybrid constants for the two exponents and can be resolved graphically by the
method of residuals.
A= Xo/Vc [(K21-α)/(β-α)] 10
A= Co[(K21-α)/(β-α)]
B= Xo/Vc [(K21-β)/(β-α)] 11
B= Co[(K21-β)/(β-α)]
Where Co= plasma drug concentration immediately after IV injection
Method of Residuals:
The bioexponential disposition curve obtained after IV bolus of a drug that fits
two compartment models can be resolved into its individual exponents by the method of
residuals. Rewritting the eq. 9:
C= A e –αt + B e –βt 12
The initial decline due to distribution is more rapid than the terminal decline due to
elimination i.e. the rate constant α >>β and hence the term e –αt approaches zero much
faster than does e –βt . Thus, eq 9 reduces to:
C= B e –βt 13
34. In log form, the eq. becomes:
log C = log B- βt/2.303 14
Where C = back extrapolated plasma concentration values
Subtraction of extrapolated plasma concentration values of the elimination phase from the
corresponding true plasma concentration values yields a series of residual concentration
value
CR = C-C = Ae-αt
In log form, the eq. becomes:
log CR = log A-αt/2.303 15
Assessment of Pharmacokinetic parameters:
All the parameters of eq 9 can be resolved by the method of residual as described above.
Other parameters of the model i.e., K12,K21,KE,etc can be derived y proper substitution of
these values .
Co= A+B
KE = αβCo/Aβ +Bα
K12 = AB(β-α)2/-Co(Aβ +Bα)
K21 = (Aβ +Bα)/ Co
35. Area under the plasma concentration-time curve can be obtained by the following eq.:
AUC = A/α +B/β
The apparent volume of central compartment Vc is given as:
Vc=Xo/Co = Xo /KE AUC
Apparent volume of peripheral compartment can be obtained from equation:
Vp= VcK12/K21
The apparent volume of distribution at steady –state or equilibrium can be defined as:
Vd,ss = Vc +Vp
It is also given as:
Vd,area = Xo /β AUC
Total systemic clearance is given as:
CLT =βVd
The pharmacokinetic parameters can also be calculated by using urinary excretion data:
dXu/dt = Ke Vc
36. An eq. identical to eq 9 can be derived for rate of excretion of unchanged drug in the urine:
dXu/dt = Ke Ae-αt +Ke Be -βt
The above eq. can be resolved into individual exponents by the method of residuals as
described for plasma concentration –time data:
Renal clearance is given as:
CLR=KeVc
Two-Compartment Open Model:
Intravenous Infusion:
The model can be depicted as shown below with elimination from the central
compartment.
The plasma or central compartment concentration of a drug that fits two-compartment model
when administered as constant rate(zero order) IV infusion, is given by eq.
C= Ro /VcKE [1+(KE-β/β-α)Ae-αt ++(KE-α/α-β)Be-βt
At steady –state , the second and third term in the bracket becomes zero ands eq reduces to:
Css= Ro /VcKE
Now VcKE = Vdβ substituting this in above eq, we get:
Css= Ro /Vdβ = Ro /CLT
37. The loading dose Xo,L to obtain Css immediately at the start of infusion can be calculated
from eq:
Xo,L = Css Vc = Ro /KE
Two- compartment Open Model – Extra Vascular Administration:
First-order absorption:
K12
Ka Central compartment Peripheral compartment
KE K21
For a drug that enters the body by a first-order absorption process and distributed
according to two –compartment model. The rate of change in drug concentration in
the central compartment is described by three exponents- an absorption exponent and
the two usual exponents that describe the drug disposition.
The plasma concentration at any time t is given by eq:
C= N e-kat +Le-αt +Me-βt
38. Where L,M,N are coefficients.
The three exponents can be resolved by step wise application of method of residuals
assuming
Ka>α>β
Besides the method of residuals, Ka can also be estimated by Loo- Riegelman method for a
drug that follows two- compartment characteristics. This method is in contrast to Wagner-
Nelson method for determination of Ka of a drug with compartment characteristics .
The Loo- Riegelman method requires plasma drug concentration-time data both after oral
and IV administration of the drug to the same subject at different times in order to obtain
all the necessary kinetic constants. Despite its complexity, the method can be applied to
drugs that distribute in any number of compartments .
39. Non Compartmental Analysis:
Because of the several drawbacks of and difficulties with the classical
compartment modeling, newer approaches have been devised to study the time course
of drugs in the body. They are physiologic models and non- compartmental methods.
The non compartmental analysis, also called as the model independent
method, does not require the assumption of specific compartment model, This method
can be applied to any compartment model provided the drugs or metabolites follow
linear kinetics. The approach based on statistical moments theory, involves collection
of experimental data following single dose of drug. If one considers the time course of
rug concentration in plasma as a statistical distribution distribution curve then
MRT=AUMC/AUC
Where MRT = mean residence time
AUMC = area under the first moment curve
AUC = area under the zero moment curve
40. AUMC is obtained from a plot of product of plasma drug concentration Vs time t from
zero to infinity mathematically, it is expressed by eq .
AUMC = 0 Ct dt
AUC is obtained from a plot of plasma drug concentration Vs. time from zero to infinity.
Mathematically expressed by eq.
AUC = 0 C. dt
Practically the AUMC and AUC can be calculated from the respective graphs by the
trapezoidal rule.
MRT is defined as the avg. amount of time spent by the drug in the body before being
eliminated. It is statistical moment analogy of half life, t ½. In effect, MRT represents the
time for 63.2% of IV bolus to be eliminated . The values will always be greater when the
drug is administered in a fashion other than IV bolus.
Non compartmental analysis is widely used to estimate the important
pharmacokinetic parameters like bioavailability, clearance and apparent volume of
distribution. The method is also useful in determining half life, rate of absorption and first
order absorption rate constant of drug.
41. Advantages:
Ease of derivation of pharmacokinetic parameters by simple algebraic equations.
The same mathematical treatment can be applied to almost any drug/ metabolite provided
they follow first order kinetics
A detailed description of drug disposition characteristics is not required
Disadvantages:
Provides limited information regarding plasma drug concentration-time profile often it
deals with averages.