Monday, Tuesday, and Wednesday, September 30 - October 2, 2002,
Location -
3rd Floor Computer Classroom, USC
School of Pharmacy, USC Medical Campus, 1985
Zonal Avenue, the next building to the West.
This course is intended for physicians, pharmacists and biomedical scientists with an interest in population pharmacokinetic / pharmacodynamic modeling, and also for those interested in therapeutic drug monitoring and optimally precise individualization of drug therapy for patient care.
Prior experience in clinical pharmacokinetics will be an advantage. Participants will be introduced to the USC*PACK software, which can be used both for therapeutic drug monitoring and optimal individualization of drug dosage regimens, as well as for parametric and nonparametric population PK/PD and physiological modeling.
The course will examine and review current and new methods of parametric and nonparametric population PK/PD modeling, with special emphasis on the FOCE parametric Iterative 2 Stage Bayesian (IT2B) and the nonparametric adaptive grid (NPAG) programs.
This course will also introduce the new Win*USC*PACK software for "Multiple Model" design of dosage regimens that hit target goals with maximal precision. This method is based first on nonparametric population models. It also obtains a patient's Bayesian posterior nonparametric individual model, and, if needed, to detect and quantify the interoccasional variability in each patient's individual model, thus permitting detection of unsuspected changes in parameter values such as take place with the volume of distribution (and other parameters), in aminoglycoside antibiotics, for example, with changes in the patient's status. This sequential "Interacting Multiple Model" Bayesian approach to interoccasional intra- individual variability comes from the aerospace community, where it is used to track evasive targets. It is new, to our knowledge, in the pharmacokinetic community. It is designed to track the behavior of drugs, especially in unstable patients, with maximum precision, to detect unsuspected changes in a patient's parameter values during the period of the data analysis, and to permit achievement of target therapeutic goals with maximum precision. Such changes take place in patients not only when they are acutely ill and highly unstable, but also in children as they grow and mature, and therapy much be guided during all this time. In addition, changes also take place with varying compliance, and a changing apparent volume of distribution may well be a clue to good or poor compliance in a patient.
In addition, new work on stochastic analysis of patient data in the Surgical Intensive Care Unit will be presented, with new methods of analyzing such data, predicting outcome, and suggesting optimal therapy will be presented.
For more information and Registration, please contact
Roger W. Jelliffe, M.D.
USC Laboratory of Applied Pharmacokinetics
2250 Alcazar Street
Los Angeles, CA, 90033
Phone 323-442-1300
Fax 323-442-1302
Email jelliffe@hsc.usc.edu
Further information is also available on our web site www.lapk.org
Day 1 - Monday Sept 30 - Basic Pharmacokinetics, Introduction to Population Modeling, and Clinical Applications
8:30 AM -Registration
9:00 AM -Welcome Dr. Jelliffe
9:15 AM -Introduction to basic concepts in pharmacokinetics,
including Review of Basic Pharmacokinetic Behavior.
Drug Elimination and Renal Function - Dr. Jelliffe
9:30 AM -Evaluating Renal Function Dr. Jelliffe
9:45 AM -Bayes' Theorem and the MAP Bayesian Scenario of
Planning, Monitoring, and Adjusting Drug Dosage
for patients - Dr. Jelliffe
10:00 AM -Introduction to Population Modeling - Dr. Jelliffe
Why model? For description? For action?
Types of PK models
Linear regression, NLLS, MAP Bayesian
10:30 AM BREAK
10:45 AM -Parametric Population Models - Dr. Schumitzky
Iterative 2 stage Bayesian, NONMEM
11:15 AM -Nonparametric Population models - Dr. Schumitzky
NPEM, NPML
11:45 AM -A Unified Approach to Parametric and
Nonparametric Population PK/PD Modeling - Dr.
Leary
12:15 PM -LUNCH
1:15 PM -Comparing Parametric and Nonparametric
Approaches - IT2B, NPEM, and NPAG - Ms. Aida
Bustad.
1:45 PM -Multiple Model (MM) Dosage Design for maximum
precision regimens - Dr. Bayard
2:15 PM -Getting MM Bayesian Posterior Individual Parameter
Distributions. The Interacting MM (IMM) Approach
Dr. Bayard.
2:45 PM -Introduction to the new Windows USC*PACK MM and
IMM Clinical Program to Achieve Target Goals
with Maximum Precision - Dr. Jelliffe
Demo - 1 compartment model Planning the Initial
regimen - Gentamicin: CCr = 100, 50, 5.
3:00 PM -BREAK
Hands-on Session -
3:15 PM -Entering past doses and levels, analysing the data.
A patient on Gentamicin
An interesting patient on Tobramycin.
3:45 PM -Hands on session - Dr. Jelliffe
The patient on Gentamicin
The interesting patient on Tobramycin.
4:15 PM -Outcome Analysis of Aminoglycoside Therapy - Dr.
Jelliffe.
4:45 PM -Demo - 2 compartment model Digoxin - Dr. Jelliffe
Setting the initial goals, planning the initial
regimen. A simple patient with atrial fibrillation
Another interesting patient with atrial fib
5:15 PM -Hands on session - Setting the initial goals,
planning the initial regimen. The simpler patient with
atrial fib
5:45 PM -Demo Vancomycin - Setting the initial goals,
planning the initial regimen. - Dr. Jelliffe
6:00 PM -Hands on session - Setting the initial goals,
planning the initial regimen.
An evening get-together at the USC Medical Campus Faculty Center.
6:30 PM - No-host cocktails
7:00 PM - Dinner
Day 2 - Tuesday Oct 1. - Intermediate Population Modeling
8:30 AM -Vancomycin Therapy Today - Dr. Beringer 9:00 AM -Pharmacokinetic Approaches to Imaging and Cancer Chemotherapy - Dr. Wolf 9:30 AM -Optimal procedures for population modeling - Dr. Jelliffe. First, determine the assay error pattern polynomial, to weight each data point properly Second, use a parametric population model, get gamma, ranges Third, use an NP population model, use gamma, ranges, get the entire parameter distribution. 10:00 AM -Demo - getting the assay error polynomial - Dr. Jelliffe 10:15 AM -Hands - on session - getting the assay error polynomial 10:30 AM -BREAK 10:45 AM -Demo - The IT2B program. Modelling Amikacin - Dr. Jelliffe A typical patient data file Running the program. Getting gamma, ranges, evaluating the results 11:15 AM -Hands-on session Modeling Amikacin Running the program. Getting gamma, ranges, evaluating the results 12:00 Noon - LUNCH 1:00 PM -Demo NPEM: Modeling Amikacin further. Using gamma, ranges results - Dr. Jelliffe Evaluating the results - The log-likelihood function The 2 and 3-D plots of the marginal and joint marginal PDF's 1:45 PM -Hands-on session - NPEM: Amikacin. Using gamma, ranges - Dr. Jelliffe Linking Nonparametric Models to the Multiple Model Adaptive Control Software Deriving individual Bayesian posterior patient parameter joint densities Evaluating relationships between parameters and covariates 2:30 PM - BREAK 2:45 PM -Optimal Times to Sample Serum Concentrations and other Responses - Dr. D'Argenio. 3:15 PM -New Approaches to Critical Care Therapy - Noninvasive Hemodynamic Monitoring - Dr. Shoemaker 3:45 PM -New Approaches to Critical Care Therapy - Stochastic Analysis of Patient Data and Outcome Prediction - Dr. Bayard 4:15 PM -A New Method of Assay Error Analysis - Dr. Milman. 4:45 PM -Antiviral Therapy Update - Dr. Louie 5:15 PM -Adjourn
Day 3 - Wedensday Oct 2. - Advanced Population Modeling - Large and
Nonlinear Models
9:00 AM -Antifungal Therapy Today - Dr. Neely
9:45 AM -Population PK/PD Modeling over the web - Dr. Wang
10:30 AM -BREAK
11:00 AM -Making large and nonlinear population models - Dr. Jelliffe
Demo - Using BOXES making a Michaelis-Menten model of Piperacillin
11:30 AM -Demo - setting up Big IT2B Modeling Piperacillin - Dr. Jelliffe
A typical subject data file
Setting up the model, the data, the instructions, sending it, analyzing
it. Evaluating the results
12:00 noon - Demo - Big NPEM Modeling Piperacillin
Setting up the model, the data, sending it, analyzing it, evaluating the
results
12:30 PM -LUNCH
Hands-on Sessions -
1:30 PM -Hands on session - Using BOXES making a Michaelis-Menten model of
Piperacillin - Dr. Jelliffe
2:15 PM -Hands-on session - Big IT2B Modeling Piperacillin.
Setting up the model, the data, sending it, analyzing it, evaluating
the results
3:00 PM - Break
3:15 PM -Hands-on session - Big NPEM Modelling Piperacillin
Setting up the model, the data, sending it, analyzing it, evaluating the
results
4:00 PM -Group Discussion and Certificate Presentation.
Workshop only ($495)
Workshop and Get-Together Dinner ($525)
I wish to register to attend the USC Workshop on:
Principles of Pharmacokinetics
Parametric and
Nonparametric Population PK and PD Modeling: Applications
to Therapeutic Drug Monitoring and to Optimal
individualization of Drug Therapy
Monday through Wednesday, September 30 - October 1, 2002,
Location
3rd Floor Computer Classroom, USC School of
Pharmacy, USC Medical Campus, 1985 Zonal Avenue, Los Angeles,
California.
Registration
($495.00)................................................$_________Get - Together Dinner Friday night
($30.00).................................................$_________
Total....................................................$_________
We can handle checks and foreign travelers checks in US dollars, electronic bank transfers, and PayPal (please email us for more info).
Please make checks payable to: Laboratory of Applied Pharmacokinetics
Name of Registrant ____________________________
Institution ___________________________________
Address _______________________________________
City, State, Zip ______________________________
Country _______________________________________
Phone (____)_____________Fax (____)____________
Email address _________________________________
Please return this form, with your check, directly to:
Roger W. Jelliffe, M.D.
Laboratory of Applied Pharmacokinetics, USC School of
Medicine
2250 Alcazar Street, CSC 134-B, Los Angeles, CA 90033
Phone (323)442-1300, Fax (323) 442-1302.
Email jelliffe@hsc.usc.edu
Please register early. First come are first served. Registration is limited to the spaces available. Cancellations must be received by Monday, September 16, 2002, in order to obtain a refund.
I would _____ would not _____ also like to receive information about the USC software.
I heard about this conference from______mailing _____word of mouth_____ electronic bulletin board_____ web _______ other (please specify)______