Population pharmacokinetics of oral levofloxacin in healthy volunteers and dosing optimization for multidrug‐resistant tuberculosis therapy-Reference-Cited by-同舟云学术

Population pharmacokinetics of oral levofloxacin in healthy volunteers and dosing optimization for multidrug‐resistant tuberculosis therapy

Published:2021-06-19 Issue:7 Volume:42 Page:329-337
ISSN:0142-2782
Container-title:Biopharmaceutics & Drug Disposition
language:en
Short-container-title:Biopharm Drug Dispos

Author:

Boonpeng Apinya¹^ORCID,Jaruratanasirikul Sutep²^ORCID,Wattanavijitkul Thitima³,Nawakitrangsan Monchana²,Samaeng Maseetoh²

Affiliation:

1. Division of Pharmacy Practice Department of Pharmaceutical Care School of Pharmaceutical Sciences University of Phayao Muang Thailand

2. Division of Internal Medicine Faculty of Medicine Prince of Songkla University Hat Yai Thailand

3. Department of Pharmacy Practice Faculty of Pharmaceutical Sciences Chulalongkorn University Bangkok Thailand

Funder

Faculty of Medicine, Prince of Songkla University

Publisher

Wiley

Subject

Pharmacology (medical),Pharmaceutical Science,Pharmacology,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bdd.2294

Reference27 articles.

1. Limited Sampling Strategy and Target Attainment Analysis for Levofloxacin in Patients with Tuberculosis

2. Diagnostic and prognostic value of serum albumin for tuberculosis in HIV infected patients eligible for antiretroviral therapy: Datafrom an HIV cohort study in India;Alvarez‐Uria G.;BioImpacts,2013

3. Population Pharmacokinetics and Pharmacodynamics of Levofloxacin in Acutely Hospitalized Older Patients with Various Degrees of Renal Function

4. Clinical Relevance and Management of Drug-Related QT Interval Prolongation

5. Levofloxacin Pharmacokinetics/Pharmacodynamics, Dosing, Susceptibility Breakpoints, and Artificial Intelligence in the Treatment of Multidrug-resistant Tuberculosis

Cited by 1 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. A Credibility Assessment Plan for an In Silico Model that Predicts the Dose–Response Relationship of New Tuberculosis Treatments;Annals of Biomedical Engineering;2022-09-17