Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Local identifiability for two and three-compartment pharmacokinetic models with time-lags

J A Merino1, J De Biasi, Y Plusquellec

  • 1Equipe de cinétique des Xénobiotiques and Laboratoire de Pharmacocinétique et toxicologie clinique: CHU de Rangueil, Toulouse, France.

Medical Engineering & Physics
|September 5, 1998
PubMed
Summary

This study explores pharmacokinetic models with time-delays, finding that while delays can be modeled, separate identification of parameters and delays is unsuitable. Identifiability of delayed models is also discussed.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[Translated article] A perioperative optimisation programme can improve results and reduce hospital length of stay in hip and knee arthroplasty: Experience in Chile.

Revista espanola de cirugia ortopedica y traumatologia·2026
Same author

Modification of aflatoxin B1 and ochratoxin A toxicokinetics in rats administered a yeast cell wall preparation.

Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment·2010
Same author

Cefepime in intensive care unit patients: validation of a population pharmacokinetic approach and influence of covariables.

International journal of clinical pharmacology and therapeutics·2008
Same author

Pharmacokinetics of ceftazidime and cefepime in burn patients: the importance of age and creatinine clearance.

International journal of clinical pharmacology and therapeutics·2007
Same author

Intermittent administration of ceftazidime to burns patients: influence of glomerular filtration.

International journal of clinical pharmacology and therapeutics·2007
Same author

Assessment of renal function in clinical practice at the bedside of burn patients.

British journal of clinical pharmacology·2006

Area of Science:

  • Pharmacokinetics
  • Mathematical Modeling
  • Systems Biology

Background:

  • Pharmacokinetic models are essential for understanding drug disposition.
  • Time-delays between compartments can significantly impact model behavior.
  • Assessing model identifiability is crucial for reliable parameter estimation.

Purpose of the Study:

  • To investigate the identifiability of pharmacokinetic models incorporating time-delays.
  • To determine the suitability of separate parameter and time-lag identification.
  • To compare identifiability of delayed versus non-delayed models.

Main Methods:

  • Analysis of 2 and 3 compartment pharmacokinetic models.
  • Utilizing Laplace transformation for identifiability studies.

Related Experiment Videos

  • Employing Jacobian matrices to assess parameter and time-lag identifiability.
  • Investigating identifiability from amount (Q) or concentration (C) measures.

    • Main Results:

    • Separate identification of model parameters and time-lags is not suitable.
    • Time-lagged models can be locally identifiable when non-delayed models are not.
    • For two-compartment delayed models with one observation, multiple inputs are not required.
    • Identifiability of parameters and lags depends on the specific two-compartment model and measurement type (Q or C).

    Conclusions:

    • Time-delays in pharmacokinetic models can be accounted for, but require specific identifiability analysis.
    • Delayed models offer unique identifiability properties compared to their non-delayed counterparts.
    • The study provides insights into parameter and lag identifiability in various two-compartment models.