Literature DB >> 16537134

Adherence to antiretroviral HIV drugs: how many doses can you miss before resistance emerges?

R J Smith1.   

Abstract

The question of determining how many doses may be skipped before HIV treatment response is adversely affected by the emergence of drug-resistance is addressed. Impulsive differential equations are used to develop a prescription to minimize the emergence of drug-resistance for protease-sparing regimens. A threshold for the maximal number of missable doses is determined. If the number of missed doses is below this threshold, then resistance levels are negligible and dissipate quickly, assuming perfect adherence subsequently. If the number of missed doses exceeds this threshold, even for 24h, resistance levels are extremely high and will not dissipate for weeks, even assuming perfect adherence subsequently. After this interruption, the minimum number of successive doses that should be taken is determined. Estimates are provided for all protease-sparing drugs approved by the US Food and Drug Administration. Estimates for the basic reproductive ratios for the wild-type and mutant strains of the virus are also calculated, for a long-term average fractional degree of adherence. There are regions within this fraction of adherence where the outcome is not predictable and may depend on a patient's entire history of drug-taking.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16537134      PMCID: PMC1560063          DOI: 10.1098/rspb.2005.3352

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  18 in total

1.  Adherence and drug resistance: predictions for therapy outcome.

Authors:  L M Wahl; M A Nowak
Journal:  Proc Biol Sci       Date:  2000-04-22       Impact factor: 5.349

2.  Use of a stochastic model to develop understanding of the impact of different patterns of antiretroviral drug use on resistance development.

Authors:  A N Phillips; M Youle; M Johnson; C Loveday
Journal:  AIDS       Date:  2001-11-23       Impact factor: 4.177

3.  Failures of 1 week on, 1 week off antiretroviral therapies in a randomized trial.

Authors:  Jintanat Ananworanich; Reto Nuesch; Michelle Le Braz; Ploechan Chetchotisakd; Asda Vibhagool; Saijai Wicharuk; Kiat Ruxrungtham; Hansjakob Furrer; David Cooper; Bernard Hirschel; E Bernasconi; M Cavassini; C Ebnöther; C Fagard; D Genné; N Khanna; L Perrin; P Phanupak; S Ubolyam; P Vernazza; S Yerly
Journal:  AIDS       Date:  2003-10-17       Impact factor: 4.177

4.  Modeling HIV dynamics and antiviral response with consideration of time-varying drug exposures, adherence and phenotypic sensitivity.

Authors:  Yangxin Huang; Susan L Rosenkranz; Hulin Wu
Journal:  Math Biosci       Date:  2003-08       Impact factor: 2.144

Review 5.  Protease inhibitor-sparing regimens: new evidence strengthens position.

Authors:  Graeme J Moyle
Journal:  J Acquir Immune Defic Syndr       Date:  2003-06-01       Impact factor: 3.731

6.  Public health consequences of screening patients for adherence to highly active antiretroviral therapy.

Authors:  E Tchetgen; E H Kaplan; G H Friedland
Journal:  J Acquir Immune Defic Syndr       Date:  2001-02-01       Impact factor: 3.731

7.  Hierarchical Bayesian methods for estimation of parameters in a longitudinal HIV dynamic system.

Authors:  Yangxin Huang; Dacheng Liu; Hulin Wu
Journal:  Biometrics       Date:  2006-06       Impact factor: 2.571

Review 8.  Attaining higher goals in HIV treatment: the central importance of adherence.

Authors:  G H Friedland; A Williams
Journal:  AIDS       Date:  1999-09       Impact factor: 4.177

Review 9.  Early antiretroviral therapy: rationale, protease inhibitor-sparing regimens and once daily dosing.

Authors:  J M Gatell
Journal:  Antivir Ther       Date:  1998

Review 10.  Addressing the challenges of adherence.

Authors:  J A Bartlett
Journal:  J Acquir Immune Defic Syndr       Date:  2002-02-01       Impact factor: 3.731

View more
  16 in total

1.  Modeling within-host HIV-1 dynamics and the evolution of drug resistance: trade-offs between viral enzyme function and drug susceptibility.

Authors:  Libin Rong; Michael A Gilchrist; Zhilan Feng; Alan S Perelson
Journal:  J Theor Biol       Date:  2007-04-19       Impact factor: 2.691

Review 2.  Of mice and monkeys: can animal models be utilized to study neurological consequences of pediatric HIV-1 infection?

Authors:  Heather Carryl; Melanie Swang; Jerome Lawrence; Kimberly Curtis; Herman Kamboj; Koen K A Van Rompay; Kristina De Paris; Mark W Burke
Journal:  ACS Chem Neurosci       Date:  2015-06-19       Impact factor: 4.418

3.  Measuring adherence to antiretroviral treatment in resource-poor settings: the feasibility of collecting routine data for key indicators.

Authors:  John C Chalker; Tenaw Andualem; Lillian N Gitau; Joseph Ntaganira; Celestino Obua; Hailu Tadeg; Paul Waako; Dennis Ross-Degnan
Journal:  BMC Health Serv Res       Date:  2010-02-19       Impact factor: 2.655

Review 4.  Modeling HIV persistence, the latent reservoir, and viral blips.

Authors:  Libin Rong; Alan S Perelson
Journal:  J Theor Biol       Date:  2009-06-17       Impact factor: 2.691

Review 5.  Modeling antiretroviral drug responses for HIV-1 infected patients using differential equation models.

Authors:  Yanni Xiao; Hongyu Miao; Sanyi Tang; Hulin Wu
Journal:  Adv Drug Deliv Rev       Date:  2013-04-17       Impact factor: 15.470

6.  Mass drug administration: the importance of synchrony.

Authors:  Daozhou Gao; Thomas M Lietman; Chao-Ping Dong; Travis C Porco
Journal:  Math Med Biol       Date:  2017-06-01       Impact factor: 1.854

7.  Adherence to combination prophylaxis for prevention of mother-to-child-transmission of HIV in Tanzania.

Authors:  Inga Kirsten; Julius Sewangi; Andrea Kunz; Festo Dugange; Judith Ziske; Brigitte Jordan-Harder; Gundel Harms; Stefanie Theuring
Journal:  PLoS One       Date:  2011-06-10       Impact factor: 3.240

8.  Quantifying the treatment efficacy of reverse transcriptase inhibitors: new analyses of clinical data based on within-host modeling.

Authors:  Romulus Breban; Sonia Napravnik; James Kahn; Sally Blower
Journal:  BMC Public Health       Date:  2009-11-18       Impact factor: 3.295

9.  Modelling imperfect adherence to HIV induction therapy.

Authors:  Rachelle E Miron; Robert J Smith
Journal:  BMC Infect Dis       Date:  2010-01-12       Impact factor: 3.090

10.  Antiretroviral dynamics determines HIV evolution and predicts therapy outcome.

Authors:  Daniel I S Rosenbloom; Alison L Hill; S Alireza Rabi; Robert F Siliciano; Martin A Nowak
Journal:  Nat Med       Date:  2012-09       Impact factor: 53.440

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.