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

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...

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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
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Online Access:https://hdl.handle.net/10356/96296
http://hdl.handle.net/10220/9871
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spelling sg-ntu-dr.10356-962962022-02-16T16:30:14Z Comparison of HIV-1 genotypic resistance test interpretation systems in predicting virological outcomes over time 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. School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences 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 Findings Included were 3763 treatment-change episodes (TCEs) for which a HIV-1 genotype was available at the time of changing treatment with at least one follow-up viral load measurement. Genotypic susceptibility scores for the active regimens were calculated using scores defined by each interpretation system. Using logistic regression, we determined the association between the genotypic susceptibility score and proportion of TCEs having an undetectable viral load (<50 copies/ml) at 12 (8–16) weeks (2152 TCEs), 24 (16–32) weeks (2570 TCEs), and 48 (44–52) weeks (1083 TCEs). The Area under the ROC curve was calculated using a 10-fold cross-validation to compare the different interpretation systems regarding the sensitivity and specificity for predicting undetectable viral load. The mean genotypic susceptibility score of the systems was slightly smaller for HIVdb, with 1.92±1.17, compared to Rega and ANRS, with 2.22±1.09 and 2.23±1.05, respectively. However, similar odds ratio's were found for the association between each-unit increase in genotypic susceptibility score and undetectable viral load at week 12; 1.6 [95% confidence interval 1.5–1.7] for HIVdb, 1.7 [1.5–1.8] for ANRS, and 1.7 [1.9–1.6] for Rega. Odds ratio's increased over time, but remained comparable (odds ratio's ranging between 1.9–2.1 at 24 weeks and 1.9–2.2 at 48 weeks). The Area under the curve of the ROC did not differ between the systems at all time points; p = 0.60 at week 12, p = 0.71 at week 24, and p = 0.97 at week 48. Conclusions/Significance Three commonly used HIV drug resistance interpretation systems ANRS, Rega and HIVdb predict virological response at 12, 24, and 48 weeks, after change of treatment to the same extent. Published version 2013-04-29T07:18:25Z 2019-12-06T19:28:21Z 2013-04-29T07:18:25Z 2019-12-06T19:28:21Z 2010 2010 Journal Article Frentz, D., Boucher, C. A. B., Assel, M., De Luca, A., Fabbiani, M., Incardona, F., et al. (2010). Comparison of HIV-1 Genotypic Resistance Test Interpretation Systems in Predicting Virological Outcomes Over Time. PLoS ONE, 5(7), e11505. 1932-6203 https://hdl.handle.net/10356/96296 http://hdl.handle.net/10220/9871 10.1371/journal.pone.0011505 20634893 en PLoS ONE © 2010 Frentz et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
spellingShingle DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
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.
Comparison of HIV-1 genotypic resistance test interpretation systems in predicting virological outcomes over time
description 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 Findings Included were 3763 treatment-change episodes (TCEs) for which a HIV-1 genotype was available at the time of changing treatment with at least one follow-up viral load measurement. Genotypic susceptibility scores for the active regimens were calculated using scores defined by each interpretation system. Using logistic regression, we determined the association between the genotypic susceptibility score and proportion of TCEs having an undetectable viral load (<50 copies/ml) at 12 (8–16) weeks (2152 TCEs), 24 (16–32) weeks (2570 TCEs), and 48 (44–52) weeks (1083 TCEs). The Area under the ROC curve was calculated using a 10-fold cross-validation to compare the different interpretation systems regarding the sensitivity and specificity for predicting undetectable viral load. The mean genotypic susceptibility score of the systems was slightly smaller for HIVdb, with 1.92±1.17, compared to Rega and ANRS, with 2.22±1.09 and 2.23±1.05, respectively. However, similar odds ratio's were found for the association between each-unit increase in genotypic susceptibility score and undetectable viral load at week 12; 1.6 [95% confidence interval 1.5–1.7] for HIVdb, 1.7 [1.5–1.8] for ANRS, and 1.7 [1.9–1.6] for Rega. Odds ratio's increased over time, but remained comparable (odds ratio's ranging between 1.9–2.1 at 24 weeks and 1.9–2.2 at 48 weeks). The Area under the curve of the ROC did not differ between the systems at all time points; p = 0.60 at week 12, p = 0.71 at week 24, and p = 0.97 at week 48. Conclusions/Significance Three commonly used HIV drug resistance interpretation systems ANRS, Rega and HIVdb predict virological response at 12, 24, and 48 weeks, after change of treatment to the same extent.
author2 School of Computer Engineering
author_facet School of Computer Engineering
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.
format Article
author 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.
author_sort Frentz, Dineke
title Comparison of HIV-1 genotypic resistance test interpretation systems in predicting virological outcomes over time
title_short Comparison of HIV-1 genotypic resistance test interpretation systems in predicting virological outcomes over time
title_full Comparison of HIV-1 genotypic resistance test interpretation systems in predicting virological outcomes over time
title_fullStr Comparison of HIV-1 genotypic resistance test interpretation systems in predicting virological outcomes over time
title_full_unstemmed Comparison of HIV-1 genotypic resistance test interpretation systems in predicting virological outcomes over time
title_sort comparison of hiv-1 genotypic resistance test interpretation systems in predicting virological outcomes over time
publishDate 2013
url https://hdl.handle.net/10356/96296
http://hdl.handle.net/10220/9871
_version_ 1725985685828009984