Comparison of HIV-1 genotypic resistance test interpretation systems in predicting virological outcomes over time

• Main Authors: Frentz, Dineke, Assel, Matthias, De Luca, Andrea, Fabbiani, Massimiliano, Incardona, Francesca, Libin, Pieter, Manca, Nino, Müller, Viktor, Paredes, Roger, Quiros-Roldan, Eugenia, Ruiz, Lidia, Torti, Carlo, Vandamme, Anne-Mieke, Van Laethem, Kristel, Zazzi, Maurizio, Boucher, Charles A. B., Prosperi, Mattia C. F., Sloot, Peter M. A., van de Vijver, David A. M. C., Nuallain, Breanndan O.
• Other Authors: School of Computer Engineering
• Format: Article
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
• Online Access: https://hdl.handle.net/10356/96296; http://hdl.handle.net/10220/9871
• Institution: Nanyang Technological University

Several decision support systems have been developed to interpret HIV-1 drug resistance genotyping results. This study compares the ability of the most commonly used systems (ANRS, Rega, and Stanford's HIVdb) to predict virological outcome at 12, 24, and 48 weeks. Methodology/Principal Findi...