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

Andrea De Luca, Jurgen Vercauteren, Gertjan Beheydt, Mattia Prosperi, Pieter Libin, Stijn Imbrechts, Ricardo Camacho, Bonaventura Clotet, 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

Risultato della ricerca: Contributo in rivistaArticolo in rivistapeer review

16 Citazioni (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.
Lingua originaleEnglish
pagine (da-a)e61436-e61436
RivistaPLoS One
Volume8
DOI
Stato di pubblicazionePubblicato - 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

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