Nov 4(Thu) 09:00 – 12:30, Korean

Online only (Access details will be sent to the registrants.)

Gyu-Jeong Noh (University of Ulsan, Korea)

Gyu-Jeong Noh(University of Ulsan, Korea)

Kyung Mi Kim(University of Ulsan, Korea)

Kwon-Hui Seo(Hallym University, Korea)

Seong-Heon Lee(Chonnam National University, Korea)

Byung-Moon Choi(University of Ulsan, Korea)

The attendees understand NONMEM objective function, -2LL (log-likelihood).

Pharmacokinetic and pharmacodynamic parameters split into fixed effect and random inter-individual effect parameters in mixed effects modeling.

The attendees understand statistical and error models.

The attendees understand several types of covariate model.

The attendees are encouraged to make a NONMEM control file and interpret NONMEM result file.

The attendees understand that predictive checks and bootstrap are used to internally validate a selected NONMEM model.

NONMEM (nonlinear mixed effects modeling) workshop aims to provide fundamental concepts of population pharmacokinetic and pharmacodynamic analysis, and essential knowledge of how to run NONMEM, how to interpret NONMEM results, and how to validate a selected NONMEM model. The objective function of NONMEM, -2LL (log-likelihood), is discussed. This workshop shows how to describe inter-individual random variability of model parameters using covariates. Various components of NONMEM control stream and output are discussed using examples of NONMEM control and result files, respectively. Finally, model selection and validation are also discussed.

Nov 4(Thu) 13:30 – 17:00, Korean

Online only (Access details will be sent to the registrants.)

Byung-Moon Choi (University of Ulsan, Korea)

The attendees understand the pharmacokinetic parameters required for simulation.

The attendees can explain the unit disposition function for predicting propofol disposition.

The attendees can simulate propofol plasma concentrations and effect-site concentrations using the modified Marsh and Schnider models according to various dosing regimens.

The attendees can calculate context sensitive decrement time, tpeak, and Vdpeak of fentanyl.

This workshop aims to improve understanding of the basic principles of anesthetic pharmacology through simulation. Asan pump (version 2.1.3; Bionet Co. Ltd., Seoul, Korea, http://www.fit4nm.org/download, last accessed: Aug 27, 2012) will be used for simulation. The attendees can simulate propofol plasma concentrations and effect-site concentrations using the modified Marsh and Schnider models according to various dosing regimens. Characteristics of both pharmacokinetic models are discussed. Context sensitive decrement time, tpeak, and Vdpeak of fentanyl are also discussed.

Nov 5(Fri) 09:00 – 12:30 , Korean

Online only (Access details will be sent to the registrants.)

Gyu-Jeong Noh (University of Ulsan, Korea)

Gyu-Jeong Noh(University of Ulsan, Korea)

Kyung Mi Kim(University of Ulsan, Korea)

Jae-Hong Park (Inje University, Korea)

The attendees understand 2 kinetics of drug transfer in the body.

The attendees understand Laplace transform, inverse Laplace transform, matrix notation of simultaneous equations, determinant, and Cramer’s rule.

A simultaneous system of ordinary differential equations denoting the rate of change of drug amount in each compartment is built to obtain functions of drug amount in the central and effect compartments in Laplace domain.

The general partial fraction theorem of Benet is applied to perform inverse Laplace transform of these drug amount functions in Laplace domain, and finally drug amount functions in the central and effect compartments in time domain are derived.

Principle of superposition in linear pharmacokinetics is a key prerequisite for target-controlled infusion.

The attendees understand proportional equations to calculate the infusion rate required to reach a target concentration in the plasma and effect-site.

This workshop aims to improve understanding of the basic principles of anesthetic pharmacology. Mathematics for deriving pharmacokinetic equations are discussed. The attendees practice to derive mathematical functions of plasma or effect-site concentration over time for 4-compartment model, in which an effect compartment is added to 3-compartment mammillary pharmacokinetic model. Mathematical principles for target-controlled infusion as well as linear pharmacokinetics and principle of superposition are discussed.