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Home / Archives for Prosperi M

Comparison of HIV-1 Genotypic Resistance Test Interpretation Systems in Predicting Virological Outcomes Over Time

  • Authors: Assel M, Boucher CA, De Luca A, Fabbiani M, Frentz D, Incardona F, Manca N, Müller V, O Nualláin B, Paredes R, Prosperi M, Quiros-Roldan E, Ruiz L, Sloot PM, Torti C, Van de Vijver DA, Zazzi M, Libin P, Vandamme AM, Van Laethem K
  • Journal: PLoS One
  • Link: http://www.ncbi.nlm.nih.gov/pubmed/?term=Comparison+of+HIV-1+Genotypic+Resistance+Test+Interpretation+Systems+in+Predicting+Virological+Outcomes+Over+Time

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 […]
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Prediction of response to antiretroviral therapy by human experts and by the EuResist data-driven expert system (the EVE study).

  • Authors: Altmann A, Boucher CA, Brun-Vezinet F, Harrigan PR, Incardona F, Kaiser R, Lengauer T, Morris L, Obermeier M, Peres Y, Perno CF, Petroczi A, Phanuphak P, Pillay D, Prosperi M, Rosen-Zvi M, Schülter E, Shafer RW, Sönnerborg A, Struck D, Wensing AMJ, Zazzi M, Vandamme AM, Van Laethem K
  • Journal: HIV Medicine
  • Link: http://www.ncbi.nlm.nih.gov/pubmed/?term=Prediction+of+response+to+antiretroviral+therapy+by+human+experts+and+by+the+EuResist+data-driven+expert+system+(the+EVE+study).

OBJECTIVES:
The EuResist expert system is a novel data-driven online system for computing the probability of 8-week success for any given pair of HIV-1 genotype and combination antiretroviral therapy regimen plus optional patient information. The objective of this study was to compare the EuResist system vs. human experts (EVE) for the ability to predict response to treatment.
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Clinical Evaluation of Rega 8: An Updated Genotypic Interpretation System That Significantly Predicts HIV-Therapy Response

  • Authors: Camacho R, Clotet B, De Luca A, Geretti AM, Grossman Z, Kaiser R, Prosperi M, Schmit JC, Sönnerborg A, Torti C, Van Wijngaerden E, Vercauteren J, Zazzi M, Beheydt G, Imbrechts S, Libin P, Vandamme AM, Van Laethem K
  • Journal: PLoS One
  • Link: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0061436

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.
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About GHTM

GHTM is a R&D Unit that brings together researchers with a track record in Tropical Medicine and International & Global Health. It aims at strengthening Portugal's role as a leading partner in the development and implementation of a global health research agenda. Our evidence-based interventions contribute to the promotion of equity in health and to improve the health of populations.

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