SFKKB9001U Pharmacokinetics and Pharmacodynamics
Volume 2013/2014
Education
MSc in Pharmaceutical
Sciences - elective, MSc in Medicinal Chemistry - elective,
Cand.Scient.Pharm. - elective, Cand.Pharm. - elective
Content
Lectures covering PK-PD
relationships, as well as distribution, metabolite kinetics, effect
measurement, dose-effect relationships, population methods,
simulation of PK-PD relationships and variability in PK-PD response
and dosing to different patient populations Computer sessions for
pharmacokinetic pharmacodynamic modeling using the program Phoenix
WinNonlin and Microsoft Excel
Learning Outcome
Pharmacokinetics (PK)
and pharmacodynamics (PD) is a quantitative description of the
interaction between a drug and the body over time and forms the
basis for choice of drug and decisions on dose magnitude and dosing
interval. The objective of the course is to provide insight and
hands-on experience with pharmacokinetic and –dynamic data
analysis, based on different examples of plasma concentration-time
course of drug and link to therapeutic response. The modelling
software Phoenix WinNonlin and Microsoft Excel will be used for
data analysis. The students will be introduced to variability in
patient populations and how PKPD analysis can be used to describe
variability in response in different patient segments and in drug
research and development within the pharmaceutical industry.
Furthermore they will obtain knowledge about dosing strategies in
different clinical situations.
Literature
- M. Rowland and T. Tozer, Clinical Pharmacokinetics and Pharmacodynamics, ed. 4, 2011
- Notes and lecture hand-outs available on the course homepage
Academic qualifications
Participation and exam in
either Almen Farmakologi or Principles of Pharmacology or similar,
as the student should be familiar with the basic pharmacokinetic
parameters and calculations, concepts determining variability in
order to suggest individual dosing as well as knowledge and
competence for reasoning on PKPD information.
Teaching and learning methods
Lectures: 30 lectures
Tutorials/computer sessions: 12 hours
Tutorials/computer sessions: 12 hours
Workload
- Category
- Hours
- Exam
- 80
- Lectures
- 30
- Preparation
- 84
- Theory exercises
- 12
- Total
- 206
Sign up
For enrolment at the course the
student has to fill in an application. If the student is accepted
in the course he/she will automatically be enrolled in STADS
Open for Danish and International guest students
Open for Danish and International guest students
Exam (Pharmacokinetics and
Pharmacodynamics)
- Credit
- 7,5 ECTS
- Type of assessment
- Written examination, 3 hours under invigilationPermitted aids: Textbooks, all written course material from the homepage and calculator and computer with Microsoft Excel and Word
Examiners: Course teachers - Aid
- Written aids allowed
All written aids.
Apart from the standard programs and IT tools listed under The Faculty of Health and Medical Sciences at http://pc-eksamen.ku.dk/pc_exam students will at this exam also have access to MathType and the possibility to use a USB stick (for notes etc.) - Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
Criteria for exam assesment
Pass criteria The student must demonstrate how to manage and
analyse basic pharmacokinetic-pharmacodynamic data to form a basis
for reasoning and for deriving conclusions that can be used in drug
development, for inclusion in patient information and in a clinical
context. Description of grades 12 - Excellent performance The
examination answers are accurate, clear and precise. The student
demonstrates a broad overview and detailed knowledge and a
competence of the problem examined. The student demonstrates a
broad knowledge of the essentials of the concepts in PK-PD. The
student • Clearly demonstrates understanding and managing the data
necessary to characterize the pharmacokinetics and pharmacodynamics
of a given drug • Clearly demonstrates the basic skills to process,
manage and analyse data that can be translated into the drug
treatment of patients. • Clearly demonstrates how to use and manage
pharmacokinetic and pharmacodynamic data in the development of
drugs as well as in guidelines for therapy monitoring, reasoning
and guidance. 7 - Good performance The examination answer are
structured and reasonably clear and precise. The student
demonstrates overview and knowledge relevant for using and managing
PK-PD information. The student • Demonstrates relatively well the
understanding to generate the data necessary to characterize the
pharmacokinetics and pharmacodynamics of a given drug •
Demonstrates relatively well the basic skills to treat, manage and
analyse data that can be translated into the drug treatment of
patients. • Demonstrates relatively well how to use and manage
pharmacokinetic and pharmacodynamic data in the development of
drugs, as well as in guidelines for therapy monitoring, reasoning
and guidance. 02 - Acceptable performance The examination answers
are somewhat badly structured, a bit unclear and somewhat
imprecise. The overview is not broad, which also means that the
PK-PD conclusions are not absolutely correct. Overall knowledge is
lacking in some respects, which in some instances prevents accurate
conclusions. The student • Acceptably demonstrates the
understanding the data necessary to characterize the
pharmacokinetics and pharmacodynamics of a given drug • Acceptably
demonstrates the basic skills to treat, manage and analyse data
that can be translated into the drug treatment of patients.
Acceptably demonstrates how to use and manage pharmacokinetic and
pharmacodynamic data in the development of drugs as well as
guidelines for therapy monitoring, reasoning and
guidance
Course information
- Language
- English
- Course code
- SFKKB9001U
- Credit
- 7,5 ECTS
- Level
- Full Degree MasterFull Degree Master choice
- Duration
- 1 block
- Placement
- Block 3
- Schedule
- C
- Course capacity
- 30 students
- Study board
- Study Board of Pharmaceutical Sciences
Contracting department
- Department of Drug Design and Pharmacology
Course responsibles
- Trine Meldgaard Lund (trine.lund@sund.ku.dk)
Saved on the
04-02-2014