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

Dineke Frentz; Charles A B Boucher; Matthias Assel; Andrea de Luca; Massimiliano Fabbiani; Francesca Incardona; Pieter Libin; Nino Manca; Viktor Müller; Breanndán Ó Nualláin; Roger Paredes; Mattia Prosperi; Eugenia Quiros-Roldan; Lidia Ruiz; Peter M A Sloot; Carlo Torti; Anne Mieke Vandamme; Kristel van Laethem; Maurizio Zazzi; David A M C van de Vijver

doi:10.1371/journal.pone.0011505

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

Dineke Frentz
, Charles A B Boucher
, Matthias Assel
, Andrea de Luca
, Massimiliano Fabbiani
, Francesca Incardona
, Pieter Libin
, Nino Manca
, Viktor Müller
, Breanndán Ó Nualláin
, Roger Paredes
, Mattia Prosperi
, Eugenia Quiros-Roldan
, Lidia Ruiz
, Peter M A Sloot
, Carlo Torti
, Anne Mieke Vandamme
, Kristel van Laethem
, Maurizio Zazzi
, David A M C van de Vijver

Research output: Contribution to journal › Article › peer-review

Abstract

Background: 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 (

Original language	English
Article number	e11505
Journal	PLoS ONE
Volume	5
Issue number	7
DOIs	https://doi.org/10.1371/journal.pone.0011505
Publication status	Published - 2010

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SDG 3 Good Health and Well-being

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Frentz, D., Boucher, C. A. B., Assel, M., de Luca, A., Fabbiani, M., Incardona, F., Libin, P., Manca, N., Müller, V., Nualláin, B. Ó., Paredes, R., Prosperi, M., Quiros-Roldan, E., Ruiz, L., Sloot, P. M. A., Torti, C., Vandamme, A. M., van Laethem, K., Zazzi, M., & van de Vijver, D. A. M. C. (2010). Comparison of HIV-1 genotypic resistance test interpretation systems in predicting virological outcomes over time. PLoS ONE, 5(7), Article e11505. https://doi.org/10.1371/journal.pone.0011505

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

abstract = "Background: 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 (",

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doi = "10.1371/journal.pone.0011505",

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Frentz, D, Boucher, CAB, Assel, M, de Luca, A, Fabbiani, M, Incardona, F, Libin, P, Manca, N, Müller, V, Nualláin, BÓ, Paredes, R, Prosperi, M, Quiros-Roldan, E, Ruiz, L, Sloot, PMA, Torti, C, Vandamme, AM, van Laethem, K, Zazzi, M & van de Vijver, DAMC 2010, 'Comparison of HIV-1 genotypic resistance test interpretation systems in predicting virological outcomes over time', PLoS ONE, vol. 5, no. 7, e11505. https://doi.org/10.1371/journal.pone.0011505

TY - JOUR

T1 - Comparison of HIV-1 genotypic resistance test interpretation systems in predicting virological outcomes over time

AU - Frentz, Dineke

AU - Boucher, Charles A B

AU - Assel, Matthias

AU - de Luca, Andrea

AU - Fabbiani, Massimiliano

AU - Incardona, Francesca

AU - Libin, Pieter

AU - Manca, Nino

AU - Müller, Viktor

AU - Nualláin, Breanndán Ó

AU - Paredes, Roger

AU - Prosperi, Mattia

AU - Quiros-Roldan, Eugenia

AU - Ruiz, Lidia

AU - Sloot, Peter M A

AU - Torti, Carlo

AU - Vandamme, Anne Mieke

AU - van Laethem, Kristel

AU - Zazzi, Maurizio

AU - van de Vijver, David A M C

PY - 2010

Y1 - 2010

N2 - Background: 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 (

AB - Background: 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 (

U2 - 10.1371/journal.pone.0011505

DO - 10.1371/journal.pone.0011505

M3 - Article

VL - 5

JO - PLoS ONE

JF - PLoS ONE

IS - 7

M1 - e11505

ER -

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

Abstract

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