Literature DB >> 28043170

Impact of disease, drug and patient adherence on the effectiveness of antiviral therapy in pediatric HIV.

Chiara Piana1, Meindert Danhof1, Oscar Della Pasqua2,3.   

Abstract

INTRODUCTION: Maintaining effective antiretroviral treatment for life is a major problem in both resource-limited and resource-rich countries. Despite the progress observed in paediatric antiretroviral therapy, approximately 12% of children still experience treatment failure due to drug resistance, inadequate dosing and poor adherence. We explore the current status of antiretroviral therapy in children with focus on the interaction between disease, drug pharmacokinetics and patient behavior, all of which are strongly interconnected and determine treatment outcome. Areas covered: An overview is provided of the viral characteristics and available drug combinations aimed at the prevention of resistance. In this context, the role of patient adherence is scrutinized. A detailed assessment of factors affecting adherence is presented together with the main strategies to enhance treatment response in children. Expert opinion: Using modeling and simulation, a framework for characterizing the forgiveness of non-adherence for specific antiretroviral drugs in children is proposed in which information on pharmacokinetics, pharmacokinetic-pharmacodynamic relationships and viral dynamics is integrated. This approach represents an opportunity for the simplification of dosing regimens taking into account the interaction between these factors. Based on clinical trial simulation scenarios, we envisage the possibility of assessing the impact of variable adherence to antiretroviral drug combinations in HIV-infected children.

Entities:  

Keywords:  PKPD modeling; Pediatric HIV; adherence; antiretroviral; clinical trial simulations; dose rationale; forgiveness; viral dynamics

Mesh:

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Year:  2017        PMID: 28043170     DOI: 10.1080/17425255.2017.1277203

Source DB:  PubMed          Journal:  Expert Opin Drug Metab Toxicol        ISSN: 1742-5255            Impact factor:   4.481


  1 in total

1.  Conditional distribution modeling as an alternative method for covariates simulation: Comparison with joint multivariate normal and bootstrap techniques.

Authors:  Giovanni Smania; E Niclas Jonsson
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-04
  1 in total

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