SFKKB9001U Pharmacokinetics and Pharmacodynamics

Volume 2017/2018
Education

MSc Programme in Pharmacy or Pharmaceutical Sciences (Danish programmes cand.pharm and cand.scient.pharm) - elective

MSc Programme in Medicinal Chemistry - elective

MSc Programme in Pharmaceutical Sciences (English programme) - elective

Content

Lectures covering PK-PD relationships, as well as distribution, metabolite kinetics, effect at receptor and ionchannel level, 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

At the end of the course, students are expected to be able to:

Knowledge

  • demonstrate knowledge of pharmacokinetic (PK) and pharmacodynamic (PD) in the individual as well as the population
  • understand how to calculate PK and PD parameters and use them in a quantitative description of the interaction between a drug and the body over time.
  • obtain knowledge on variability in patient populations

 

Skills

  • obtain insight and hands-on experience with pharmacokinetic and –dynamic data analysis, based on different examples of plasma concentration-time course linked to therapeutic response.
  • obtain experience with the modelling software Phoenix WinNonlin and Microsoft Excel for data analysis.
  • apply knowledge on variability in patient populations to a PKPD analysis that can be used to describe variability in response in different patient segments and in drug research and illustrate development within the pharmaceutical industry.

 

Competences

  • design dosing strategies in different clinical situations based on their knowledge about PKPD (e.g. taking variations such as demographics, organfunction, pharmacogenetics, comobidity and interactions into account).
  • design experiments for the drug research and development based on their knowledge about PKPD

 

  • M. Rowland and T. Tozer, Clinical Pharmacokinetics and Pharmacodynamics, ed. 4, 2011
  • Notes and lecture hand-outs available on the course homepage
Participation and exam in either Basic Pharmacology 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
Lectures: 21 lectures
Tutorials/computer sessions: 15 hours
  • Category
  • Hours
  • Exam
  • 3
  • Lectures
  • 21
  • Preparation
  • 167
  • Theory exercises
  • 15
  • Total
  • 206
Credit
7,5 ECTS
Type of assessment
Written examination, 3 hours under invigilation
Examiners: Course teachers
Aid
Written aids allowed

Permitted aids: Textbooks, all written course material from the homepage.

There is access to the following at the exam on Peter Bangs Vej:

  • Office (Word, Excel, Onenote and Powerpoint)
  • IO2 – the digital pen
  • Panoramic Viewer
  • Paint
  • Calculator – Windows' own
  • R – Statistical programme
  • ITX MC – multiple choice programme
  • Adobe reader
  • MathType formel programme
  • Maple
  • USB access – for usb stick with notes etc.

 

Marking scale
7-point grading scale
Censorship form
No external censorship
Criteria for exam assesment

To achieve the grade 12 the student must be able to:

Knowledge

  • demonstrate knowledge of pharmacokinetic (PK) and pharmacodynamic (PD) in the individual as well as the population
  • understand how to calculate PK and PD parameters and use them in a quantitative description of the interaction between a drug and the body over time.
  • obtain knowledge on variability in patient populations

 

Skills

  • obtain insight and hands-on experience with pharmacokinetic and –dynamic data analysis, based on different examples of plasma concentration-time course linked to therapeutic response.
  • obtain experience with the modelling software Phoenix WinNonlin and Microsoft Excel for data analysis.
  • apply knowledge on variability in patient populations to a PKPD analysis that can be used to describe variability in response in different patient segments and in drug research and illustrate development within the pharmaceutical industry.

 

Competences

  • design dosing strategies in different clinical situations based on their knowledge about PKPD (e.g. taking variations such as demographics, organfunction, pharmacogenetics, comobidity and interactions into account).
  • design experiments for the drug research and development based on their knowledge about PKPD