Clinical evaluation of Rega 8: an updated genotypic interpretation system that significantly predicts HIV-therapy response

Jurgen Vercauteren; Gertjan Beheydt; Mattia Prosperi; Pieter Libin; Stijn Imbrechts; Ricardo Camacho; Bonaventura Clotet; Andrea De Luca; Zehava Grossman; Rolf Kaiser; Anders Sönnerborg; Carlo Torti; Eric Van Wijngaerden; Jean-Claude Schmit; Maurizio Zazzi; Anna-Maria Geretti; Anne-Mieke Vandamme; Kristel Van Laethem

doi:10.1371/journal.pone.0061436

Clinical evaluation of Rega 8: an updated genotypic interpretation system that significantly predicts HIV-therapy response

Jurgen Vercauteren, Gertjan Beheydt, Mattia Prosperi, Pieter Libin, Stijn Imbrechts, Ricardo Camacho, Bonaventura Clotet, Andrea De Luca, Zehava Grossman, Rolf Kaiser, Anders Sönnerborg, Carlo Torti, Eric Van Wijngaerden, Jean-Claude Schmit, Maurizio Zazzi, Anna-Maria Geretti, Anne-Mieke Vandamme, Kristel Van Laethem

Università Cattolica del Sacro Cuore

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

16 Citations (Scopus)

Abstract

Clinically evaluating genotypic interpretation systems is essential to provide optimal guidance in designing potent individualized HIV-regimens. This study aimed at investigating the ability of the latest Rega algorithm to predict virological response on a short and longer period. MATERIALS METHODS: 9231 treatment changes episodes were extracted from an integrated patient database. The virological response after 8, 24 and 48 weeks was dichotomized to success and failure. Success was defined as a viral load below 50 copies/ml or alternatively, a 2 log decrease from the baseline viral load at 8 weeks. The predictive ability of Rega version 8 was analysed in comparison with that of previous evaluated version Rega 5 and two other algorithms (ANRS v2011.05 and Stanford HIVdb v6.0.11). A logistic model based on the genotypic susceptibility score was used to predict virological response, and additionally, confounding factors were added to the model. Performance of the models was compared using the area under the ROC curve (AUC) and a Wilcoxon signed-rank test.

Original language	English
Pages (from-to)	e61436-e61436
Journal	PLoS One
Volume	8
DOIs	https://doi.org/10.1371/journal.pone.0061436
Publication status	Published - 2013

Keywords

Adult
Algorithms
Anti-HIV Agents
Databases as Topic
Female
Genotype
HIV Infections
HIV-1
Humans
Male
ROC Curve
Sensitivity and Specificity
Treatment Outcome

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1371/journal.pone.0061436

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Vercauteren, J., Beheydt, G., Prosperi, M., Libin, P., Imbrechts, S., Camacho, R., Clotet, B., De Luca, A., Grossman, Z., Kaiser, R., Sönnerborg, A., Torti, C., Van Wijngaerden, E., Schmit, J-C., Zazzi, M., Geretti, A-M., Vandamme, A-M., & Van Laethem, K. (2013). Clinical evaluation of Rega 8: an updated genotypic interpretation system that significantly predicts HIV-therapy response. PLoS One, 8, e61436-e61436. https://doi.org/10.1371/journal.pone.0061436

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title = "Clinical evaluation of Rega 8: an updated genotypic interpretation system that significantly predicts HIV-therapy response",

abstract = "Clinically evaluating genotypic interpretation systems is essential to provide optimal guidance in designing potent individualized HIV-regimens. This study aimed at investigating the ability of the latest Rega algorithm to predict virological response on a short and longer period. MATERIALS METHODS: 9231 treatment changes episodes were extracted from an integrated patient database. The virological response after 8, 24 and 48 weeks was dichotomized to success and failure. Success was defined as a viral load below 50 copies/ml or alternatively, a 2 log decrease from the baseline viral load at 8 weeks. The predictive ability of Rega version 8 was analysed in comparison with that of previous evaluated version Rega 5 and two other algorithms (ANRS v2011.05 and Stanford HIVdb v6.0.11). A logistic model based on the genotypic susceptibility score was used to predict virological response, and additionally, confounding factors were added to the model. Performance of the models was compared using the area under the ROC curve (AUC) and a Wilcoxon signed-rank test.",

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author = "Jurgen Vercauteren and Gertjan Beheydt and Mattia Prosperi and Pieter Libin and Stijn Imbrechts and Ricardo Camacho and Bonaventura Clotet and {De Luca}, Andrea and Zehava Grossman and Rolf Kaiser and Anders S{\"o}nnerborg and Carlo Torti and {Van Wijngaerden}, Eric and Jean-Claude Schmit and Maurizio Zazzi and Anna-Maria Geretti and Anne-Mieke Vandamme and {Van Laethem}, Kristel",

year = "2013",

doi = "10.1371/journal.pone.0061436",

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Vercauteren, J, Beheydt, G, Prosperi, M, Libin, P, Imbrechts, S, Camacho, R, Clotet, B, De Luca, A, Grossman, Z, Kaiser, R, Sönnerborg, A, Torti, C, Van Wijngaerden, E, Schmit, J-C, Zazzi, M, Geretti, A-M, Vandamme, A-M & Van Laethem, K 2013, 'Clinical evaluation of Rega 8: an updated genotypic interpretation system that significantly predicts HIV-therapy response', PLoS One, vol. 8, pp. e61436-e61436. https://doi.org/10.1371/journal.pone.0061436

TY - JOUR

T1 - Clinical evaluation of Rega 8: an updated genotypic interpretation system that significantly predicts HIV-therapy response

AU - Vercauteren, Jurgen

AU - Beheydt, Gertjan

AU - Prosperi, Mattia

AU - Libin, Pieter

AU - Imbrechts, Stijn

AU - Camacho, Ricardo

AU - Clotet, Bonaventura

AU - De Luca, Andrea

AU - Grossman, Zehava

AU - Kaiser, Rolf

AU - Sönnerborg, Anders

AU - Torti, Carlo

AU - Van Wijngaerden, Eric

AU - Schmit, Jean-Claude

AU - Zazzi, Maurizio

AU - Geretti, Anna-Maria

AU - Vandamme, Anne-Mieke

AU - Van Laethem, Kristel

PY - 2013

Y1 - 2013

N2 - Clinically evaluating genotypic interpretation systems is essential to provide optimal guidance in designing potent individualized HIV-regimens. This study aimed at investigating the ability of the latest Rega algorithm to predict virological response on a short and longer period. MATERIALS METHODS: 9231 treatment changes episodes were extracted from an integrated patient database. The virological response after 8, 24 and 48 weeks was dichotomized to success and failure. Success was defined as a viral load below 50 copies/ml or alternatively, a 2 log decrease from the baseline viral load at 8 weeks. The predictive ability of Rega version 8 was analysed in comparison with that of previous evaluated version Rega 5 and two other algorithms (ANRS v2011.05 and Stanford HIVdb v6.0.11). A logistic model based on the genotypic susceptibility score was used to predict virological response, and additionally, confounding factors were added to the model. Performance of the models was compared using the area under the ROC curve (AUC) and a Wilcoxon signed-rank test.

AB - Clinically evaluating genotypic interpretation systems is essential to provide optimal guidance in designing potent individualized HIV-regimens. This study aimed at investigating the ability of the latest Rega algorithm to predict virological response on a short and longer period. MATERIALS METHODS: 9231 treatment changes episodes were extracted from an integrated patient database. The virological response after 8, 24 and 48 weeks was dichotomized to success and failure. Success was defined as a viral load below 50 copies/ml or alternatively, a 2 log decrease from the baseline viral load at 8 weeks. The predictive ability of Rega version 8 was analysed in comparison with that of previous evaluated version Rega 5 and two other algorithms (ANRS v2011.05 and Stanford HIVdb v6.0.11). A logistic model based on the genotypic susceptibility score was used to predict virological response, and additionally, confounding factors were added to the model. Performance of the models was compared using the area under the ROC curve (AUC) and a Wilcoxon signed-rank test.

KW - Adult

KW - Algorithms

KW - Anti-HIV Agents

KW - Databases as Topic

KW - Female

KW - Genotype

KW - HIV Infections

KW - HIV-1

KW - Humans

KW - Male

KW - ROC Curve

KW - Sensitivity and Specificity

KW - Treatment Outcome

KW - Adult

KW - Algorithms

KW - Anti-HIV Agents

KW - Databases as Topic

KW - Female

KW - Genotype

KW - HIV Infections

KW - HIV-1

KW - Humans

KW - Male

KW - ROC Curve

KW - Sensitivity and Specificity

KW - Treatment Outcome

UR - http://hdl.handle.net/10807/54173

U2 - 10.1371/journal.pone.0061436

DO - 10.1371/journal.pone.0061436

M3 - Article

SN - 1932-6203

VL - 8

SP - e61436-e61436

JO - PLoS One

JF - PLoS One

ER -

Clinical evaluation of Rega 8: an updated genotypic interpretation system that significantly predicts HIV-therapy response

Abstract

Keywords

UN SDGs

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