Preterm Physiologically Based Pharmacokinetic Model. Part II: Applications of the Model to Predict Drug Pharmacokinetics in the Preterm Population.

08:00 EDT 5th October 2019 | BioPortfolio

Summary of "Preterm Physiologically Based Pharmacokinetic Model. Part II: Applications of the Model to Predict Drug Pharmacokinetics in the Preterm Population."

Preterm neonates are usually not part of a traditional drug development programme, however they are frequently administered medicines. Developing modelling and simulation tools, such as physiologically based pharmacokinetic (PBPK) models that incorporate developmental physiology and maturation of drug metabolism, can be used to predict drug exposure in this group of patients, and may help to optimize drug dose adjustment.


Journal Details

This article was published in the following journal.

Name: Clinical pharmacokinetics
ISSN: 1179-1926


DeepDyve research library

PubMed Articles [38789 Associated PubMed Articles listed on BioPortfolio]

Fetal Physiologically Based Pharmacokinetic Models: Systems Information on Fetal Blood Components and Binding Proteins.

Fetal blood and plasma volume and binding components are critical parameters in a fetal physiologically based pharmacokinetic model. To date, a comprehensive review of their changes during fetal devel...

Prediction of the pharmacokinetics and pharmacodynamics of topiroxostat in humans by integrating the physiologically based pharmacokinetic model with the drug-target residence time model.

Topiroxostat is a selective xanthine oxidoreductase (XOR) inhibitor for the management of hyperuricemia in patients with or without gout. In this work, we aim to employ the physiologically based pharm...

Applications of dynamic models in predicting the bioaccumulation, transport and toxicity of trace metals in aquatic organisms.

This review evaluates the three dynamic models (biokinetic model: BK, physiologically based pharmacokinetic model: PBPK, and toxicokinetic-toxicodynamic model: TKTD) in our understanding of the key qu...

A Comprehensive Whole-Body Physiologically Based Pharmacokinetic Model of Dabigatran Etexilate, Dabigatran and Dabigatran Glucuronide in Healthy Adults and Renally Impaired Patients.

The thrombin inhibitor dabigatran is administered as the prodrug dabigatran etexilate, which is a substrate of esterases and P-glycoprotein (P-gp). Dabigatran is eliminated via renal excretion but is ...

Evaluating (HBCD) toxicokinetics in humans and rodents by physiologically based pharmacokinetic modeling.

Hexabromocyclododecane (HBCD) is a flame retardant largely found in textiles, electrical equipment and building materials. The potential exposure associated with adverse effects described in animals m...

Clinical Trials [13124 Associated Clinical Trials listed on BioPortfolio]

Physiologically-based Pharmacokinetic Modeling of Ivermectin in Healthy Human Volunteers

The present study assesses the pharmacokinetic profile of Ivermectin (IVM) in healthy human volunteers and aims to create a physiologically-based pharmacokinetic model. Planned indication ...

Threatened Preterm Birth and Time of Subsequent Delivery -a Prediction Model

This study investigates immunological and clinical markers in threatened preterm birth aiming to create a prediction model for preterm birth.

Ultrasound-based Diagnostic Model for Differentiating Malignant Breast Lesion From Benign Lesion

This study proposed to construct an ultrasound-based diagnostic model for Differentiating Malignant Breast Lesion From Benign Lesion. This study contains both retrospective and prospective...

Antithrombotics' Therapeutic Optimization in Hospitalized Patients Using Physiologically- and Population-based Pharmacokinetic Modeling

The main goal of the OptimAT study main goal is to validate a PBPK model for 3 direct oral anticoagulants (rivaroxaban, apixaban, dabigatran) and 3 P2Y12 inhibitors (clopidogrel, ticagrelo...

An Evidence Based Delivery Model of Care for Newly Implanted Adult CI Recipients

The clinical investigation is evaluating a new clinical model in a group of newly implanted subjects who have already been consented to CI surgery.

Medical and Biotech [MESH] Definitions

Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.

Theoretical models simulating behavior or activities in nursing, including nursing care, management and economics, theory, assessment, research, and education. Some examples of these models include Orem Self-Care Model, Roy Adaptation Model, and Rogers Life Process Model.

A principle of estimation in which the estimates of a set of parameters in a statistical model are those quantities minimizing the sum of squared differences between the observed values of a dependent variable and the values predicted by the model.

Functions constructed from a statistical model and a set of observed data which give the probability of that data for various values of the unknown model parameters. Those parameter values that maximize the probability are the maximum likelihood estimates of the parameters.

A computer simulation technique that is used to model the interaction between two molecules. Typically the docking simulation measures the interactions of a small molecule or ligand with a part of a larger molecule such as a protein.

Quick Search

DeepDyve research library

Relevant Topics

Drug Discovery
Clinical Approvals Clinical Trials Drug Approvals Drug Delivery Drug Discovery Generics Drugs Prescription Drugs In the fields of medicine, biotechnology and pharmacology, drug discovery is the process by which drugs are dis...

Pharmacy is the science and technique of preparing as well as dispensing drugs and medicines. It is a health profession that links health sciences with chemical sciences and aims to ensure the safe and effective use of pharmaceutical drugs. The scope of...

Searches Linking to this Article