Towards prediction of HCV therapy efficiency
type: Item
instance of: scholarly article
title: Towards prediction of HCV therapy efficiency
zbMATH Open document ID: 1202.92051
DOI: 10.1080/17486700903170712
author: Szymon Wasik
author: Paulina Jackowiak
author: Jacek B. Krawczyk
author: Pawel Kedziora
author: Piotr Formanowicz
author: Marek Figlerowicz
author: Jacek Blazewicz
published in: Computational \& Mathematical Methods in Medicine
publication date: 2010-12-30T00:00:00Z
full work available at URL: https://eudml.org/doc/229647
review text: Summary: We investigate a correlation between the genetic diversity of hepatitis C virus populations and the level of viral RNA accumulation in patient blood. Genetic diversity is defined as the mean Hamming distance between all pairs of virus RNA sequences representing the population. We have found that a low Hamming distance (i.e., low genetic diversity) correlates with a high RNA level; symmetrically, high diversity corresponds to a low RNA level. We contend that the obtained correlation strength justifies the use of the viral RNA level as a measure enabling prediction of efficiency of an established therapy. We also propose that patient qualification for therapy, based on viral RNA level, improves its efficiency.
Mathematics Subject Classification ID: 92C50
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 5830394
Wikidata QID: Q42997041
MaRDI profile type: Publication
OpenAlex ID: W2111425636
Recommended article: Machine learning for mathematical models of HCV kinetics during antiviral therapy
Recommended article: Modeling hepatitis C virus dynamics: liver regeneration and critical drug efficacy
Recommended article: Dynamics of hepatitis C under optimal therapy and sampling based analysis
Recommended article: Modeling the dynamics of hepatitis C virus with combined antiviral drug therapy: interferon and ribavirin
Recommended article: Modeling quasispecies and drug resistance in hepatitis C patients treated with a protease inhibitor
Recommended article: DYNAMICS OF HEPATITIS C VIRAL LOAD WITH OPTIMAL CONTROL TREATMENT STRATEGY
Recommended article: Feasibility of parameter estimation in hepatitis C viral dynamics models
Recommended article: Modelling hepatotoxicity and antiretroviral therapeutic effect in HIV/HBV coinfection
Recommended article: Prediction of long-term treatment outcome in HCV following 24 day PEG-IFN alpha-2b therapy using population pharmacokinetic-pharmacodynamic mixture modeling and classification analysis
description: scientific article; zbMATH DE number 5830394