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HCV Viral Decline at Week 2 of Peg-IFN-Alpha-2a/RBV Therapy as a Predictive Tool for Tailoring Treatment in HIV/HCV Genotype 1 Co-Infected Patients

BACKGROUND: Optimizing HCV genotype 1 therapy in terms of response prediction and tailoring treatment is undoubtedly the cornerstone of treating HIV co-infected patients in clinical practice. Accordingly, our aim was to analyze the predictive value of HCV viral decline for sustained virological resp...

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Detalles Bibliográficos
Autores principales: Rivero-Juarez, Antonio, López-Cortés, Luis F., Camacho, Angela, Torres-Cornejo, Almudena, Gordon, Ana, Ruiz-Valderas, Rosa, Torre-Cisneros, Julian, Pineda, Juan A., Viciana, Pompeyo, Rivero, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4063713/
https://www.ncbi.nlm.nih.gov/pubmed/24945348
http://dx.doi.org/10.1371/journal.pone.0099468
Descripción
Sumario:BACKGROUND: Optimizing HCV genotype 1 therapy in terms of response prediction and tailoring treatment is undoubtedly the cornerstone of treating HIV co-infected patients in clinical practice. Accordingly, our aim was to analyze the predictive value of HCV viral decline for sustained virological response (SVR), measured at a time point as early as week 2 of therapy with pegylated interferon alpha-2a plus ribavirin (Peg-IFN/RBV). METHODS: Previously untreated HIV/HCV genotype 1 co-infected patients were included in this study. The HCV RNA titer was measured at week 2 after starting treatment with Peg-IFN/RBV. The likelihood of reaching SVR when HCV RNA viral titers declined at week 2 was evaluated relative to predictive baseline factors. RESULTS: A total of 192 HIV/HCV genotype-1 co-infected patients were enrolled in the study and began therapy. One hundred and sixty-three patients completed a full course of Peg-IFN/RBV treatment for 2 weeks and 59 of these (36.2%) reached SVR. An HCV RNA viral load decline of ≥1.5 log IU/mL at week 2 had the maximum positive predictive value for SVR (83.3%; 95% CI: 68.5%–92.9%) and was identified as the strongest independent predictive factor for reaching SVR across all baseline predictive factors. CONCLUSIONS: HCV viral decline at week 2 had a high predictive value for identifying patients with a high and low likelihood of reaching SVR using dual therapy, regardless of strong predictive baseline factors. This finding may be useful for developing a predictive tool to help tailor HCV genotype 1 therapy in HIV co-infected patients.