Prediction of olanzapine exposure in individual patients using physiologically based pharmacokinetic modelling and simulation-Reference-Cited by-同舟云学术

Prediction of olanzapine exposure in individual patients using physiologically based pharmacokinetic modelling and simulation

Published:2018-01-11 Issue:3 Volume:84 Page:462-476
ISSN:0306-5251
Container-title:British Journal of Clinical Pharmacology
language:en
Short-container-title:Br J Clin Pharmacol

Author:

Polasek Thomas M.¹²^ORCID,Tucker Geoffrey T.³,Sorich Michael J.¹⁴,Wiese Michael D.⁵,Mohan Titus⁶,Rostami-Hodjegan Amin⁷⁸,Korprasertthaworn Porntipa⁹,Perera Vidya¹⁰^ORCID,Rowland Andrew¹⁴^ORCID

Affiliation:

1. Department of Clinical Pharmacology; Flinders University; Adelaide SA Australia

2. d3 Medicine; A Certara Company; Melbourne VIC Australia

3. Medicine and Biomedical Sciences (Emeritus); University of Sheffield; Sheffield UK

4. Flinders Centre for Innovation in Cancer; Flinders University; Adelaide SA Australia

5. School of Pharmacy and Medical Sciences; University of South Australia; Adelaide SA Australia

6. Department of Psychiatry; Flinders Medical Centre; Adelaide SA Australia

7. Certara, Blades Enterprise Centre; Sheffield UK

8. Centre for Applied Pharmacokinetic Research; University of Manchester; Manchester UK

9. Department of Pharmacology, Faculty of Science; Mahidol University; Bangkok Thailand

10. Clinical Pharmacology and Pharmacometrics, Early Clinical and Translational Research; Bristol Myers Squibb; Princeton NJ USA

Funder

Simcyp Ltd, A Certara Company, Sheffield, UK

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/bcp.13480/fullpdf

Reference68 articles.

1. Relations between age and weight and dosage of drugs;Dawson;Ann Intern Med,1940

2. Model-based, goal-oriented, individualised drug therapy. Linkage of population modelling, new 'multiple model' dosage design, Bayesian feedback and individualised target goals;Jelliffe;Clin Pharmacokinet,1998

3. A dosing algorithm for metformin based on the relationships between exposure and renal clearance of metformin in patients with varying degrees of kidney function;Duong;Eur J Clin Pharmacol,2017

4. Individualised antibiotic dosing for patients who are critically ill: challenges and potential solutions;Roberts;Lancet Infect Dis,2014

5. Population pharmacokinetics: an overview;Charles;Aust Prescr,2014

Cited by 54 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Does Two-Step Infusion Improve the Pharmacokinetics/Pharmacodynamics Target Attainment of Meropenem in Critically Ill Patients?;Journal of Pharmaceutical Sciences;2024-09

2. Guidance on Selecting Optimal Steady-State Tacrolimus Concentrations for Continuous IV Perfusion: Insights from Physiologically Based Pharmacokinetic Modeling;Pharmaceuticals;2024-08-08

3. Population pharmacokinetics of olanzapine in pediatric patients with psychiatric disorders;Expert Opinion on Drug Metabolism & Toxicology;2024-07-23

4. Virtual twins for model‐informed precision dosing of clozapine in patients with treatment‐resistant schizophrenia;CPT: Pharmacometrics & Systems Pharmacology;2024-01-19

5. Apixaban and rivaroxaban's physiologically‐based pharmacokinetic model validation in hospitalized patients: A first step for larger use of a priori modeling approach at bed side;CPT: Pharmacometrics & Systems Pharmacology;2023-10-04