<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>11(8)</volume><submitter>Garbuglia AR</submitter><pubmed_abstract>&lt;h4>Objectives&lt;/h4>Identifying the predictive factors of Sustained Virological Response (SVR) represents an important challenge in new interferon-based DAA therapies. Here, we analyzed the kinetics of antiviral response associated with a triple drug regimen, and the association between negative residual viral load at different time points during treatment.&lt;h4>Methods&lt;/h4>Twenty-three HCV genotype 1 (GT 1a n = 11; GT1b n = 12) infected patients were included in the study. Linear Discriminant Analysis (LDA) was used to establish possible association between HCV RNA values at days 1 and 4 from start of therapy and SVR. Principal component analysis (PCA) was applied to analyze the correlation between HCV RNA slope and SVR. A ultrasensitive (US) method was established to measure the residual HC</pubmed_abstract><journal>PloS one</journal><pagination>e0158989</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC4999094</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Ultrasensitive HCV RNA Quantification in Antiviral Triple Therapy: New Insight on Viral Clearance Dynamics and Treatment Outcome Predictors.</pubmed_title><pmcid>PMC4999094</pmcid><pubmed_authors>Lapa D</pubmed_authors><pubmed_authors>Taibi C</pubmed_authors><pubmed_authors>Montalbano M</pubmed_authors><pubmed_authors>Lionetti R</pubmed_authors><pubmed_authors>Castiglione F</pubmed_authors><pubmed_authors>D'Offizi G</pubmed_authors><pubmed_authors>Garbuglia AR</pubmed_authors><pubmed_authors>Capobianchi MR</pubmed_authors><pubmed_authors>Visco-Comandini U</pubmed_authors><pubmed_authors>Paci P</pubmed_authors></additional><is_claimable>false</is_claimable><name>Ultrasensitive HCV RNA Quantification in Antiviral Triple Therapy: New Insight on Viral Clearance Dynamics and Treatment Outcome Predictors.</name><description>&lt;h4>Objectives&lt;/h4>Identifying the predictive factors of Sustained Virological Response (SVR) represents an important challenge in new interferon-based DAA therapies. Here, we analyzed the kinetics of antiviral response associated with a triple drug regimen, and the association between negative residual viral load at different time points during treatment.&lt;h4>Methods&lt;/h4>Twenty-three HCV genotype 1 (GT 1a n = 11; GT1b n = 12) infected patients were included in the study. Linear Discriminant Analysis (LDA) was used to establish possible association between HCV RNA values at days 1 and 4 from start of therapy and SVR. Principal component analysis (PCA) was applied to analyze the correlation between HCV RNA slope and SVR. A ultrasensitive (US) method was established to measure the residual HC</description><dates><release>2016-01-01T00:00:00Z</release><publication>2016</publication><modification>2026-05-29T20:33:56.159Z</modification><creation>2019-03-26T22:52:37Z</creation></dates><accession>S-EPMC4999094</accession><cross_references><pubmed>27560794</pubmed><doi>10.1371/journal.pone.0158989</doi></cross_references></HashMap>