Literature DB >> 21169286

Treatment of tuberculosis and optimal dosing schedules.

Kwok Chiu Chang1, Chi Chiu Leung, Jacques Grosset, Wing Wai Yew.   

Abstract

Intermittent tuberculosis treatment regimens have been developed to facilitate treatment supervision. Their efficacy has been substantiated by clinical trials and tuberculosis control programmes, notwithstanding the lack of head-to-head comparison between daily and intermittent regimens. Recently, there has been opposing evidence from observational studies, pharmacokinetic-pharmacodynamic studies and animal models that intermittent treatment increases the risk of relapse, treatment failure or acquired rifamycin resistance, especially among HIV-infected patients. Systematic reviews have been conflicting. PubMed, Ovid MEDLINE and EMBASE were systematically searched for publications in English to evaluate the evidence about dosing schedules and treatment efficacy. Levels of evidence and grades of recommendation were assigned largely according to clinical evidence with reference to the Scottish Intercollegiate Guidelines Network guideline development handbook. A total of 32 articles were included after excluding 331 ineligible articles, 42 non-analytical studies, 22 narrative reviews or expert opinions and 44 articles embedded in systematic reviews. These included 9 systematic reviews, 8 controlled studies, 9 pharmacokinetic-pharmacodynamic studies, 5 mouse studies and 1 article about guinea pig experiments. Findings suggest high levels of evidence for using daily dosing schedules, especially during the initial phase in the presence of cavitation, isoniazid resistance and advanced HIV co-infection, to reduce the risk of treatment failure, recurrence and acquired drug resistance including acquired rifamycin resistance. This review justifies the use of daily schedules in standard tuberculosis treatment regimens (particularly in the initial phase), corroborates prevailing understanding of pharmacokinetics-pharmacodynamics and mycobacterial persisters, and supports exploration of rifapentine-containing regimens in higher dosages and frequency.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 21169286     DOI: 10.1136/thx.2010.148585

Source DB:  PubMed          Journal:  Thorax        ISSN: 0040-6376            Impact factor:   9.139


  22 in total

1.  Feasibility of a fixed-dose regimen of pyrazinamide and its impact on systemic drug exposure and liver safety in patients with tuberculosis.

Authors:  Tarjinder Sahota; Oscar Della Pasqua
Journal:  Antimicrob Agents Chemother       Date:  2012-07-09       Impact factor: 5.191

2.  DOT, S, or DOTS?

Authors:  Armand Van Deun; Hans L Rieder
Journal:  Public Health Action       Date:  2012-03-21

3.  A review of computational and mathematical modeling contributions to our understanding of Mycobacterium tuberculosis within-host infection and treatment.

Authors:  Denise Kirschner; Elsje Pienaar; Simeone Marino; Jennifer J Linderman
Journal:  Curr Opin Syst Biol       Date:  2017-05-22

4.  Classic reaction kinetics can explain complex patterns of antibiotic action.

Authors:  Pia Abel Zur Wiesch; Sören Abel; Spyridon Gkotzis; Paolo Ocampo; Jan Engelstädter; Trevor Hinkley; Carsten Magnus; Matthew K Waldor; Klas Udekwu; Ted Cohen
Journal:  Sci Transl Med       Date:  2015-05-13       Impact factor: 17.956

Review 5.  Therapeutic drug monitoring in the treatment of tuberculosis: an update.

Authors:  Abdullah Alsultan; Charles A Peloquin
Journal:  Drugs       Date:  2014-06       Impact factor: 9.546

6.  A multi-scale approach to designing therapeutics for tuberculosis.

Authors:  Jennifer J Linderman; Nicholas A Cilfone; Elsje Pienaar; Chang Gong; Denise E Kirschner
Journal:  Integr Biol (Camb)       Date:  2015-04-30       Impact factor: 2.192

Review 7.  Targeting multidrug-resistant tuberculosis (MDR-TB) by therapeutic vaccines.

Authors:  Satria A Prabowo; Matthias I Gröschel; Ed D L Schmidt; Alena Skrahina; Traian Mihaescu; Serap Hastürk; Rotislav Mitrofanov; Edita Pimkina; Ildikó Visontai; Bouke de Jong; John L Stanford; Père-Joan Cardona; Stefan H E Kaufmann; Tjip S van der Werf
Journal:  Med Microbiol Immunol       Date:  2012-11-10       Impact factor: 3.402

8.  Computational pharmacokinetics/pharmacodynamics of rifampin in a mouse tuberculosis infection model.

Authors:  Michael A Lyons; Anne J Lenaerts
Journal:  J Pharmacokinet Pharmacodyn       Date:  2015-05-31       Impact factor: 2.745

9.  Computational pharmacology of rifampin in mice: an application to dose optimization with conflicting objectives in tuberculosis treatment.

Authors:  Michael A Lyons
Journal:  J Pharmacokinet Pharmacodyn       Date:  2014-08-31       Impact factor: 2.745

10.  Applying optimization algorithms to tuberculosis antibiotic treatment regimens.

Authors:  Joseph M Cicchese; Elsje Pienaar; Denise E Kirschner; Jennifer J Linderman
Journal:  Cell Mol Bioeng       Date:  2017-08-30       Impact factor: 2.321

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.