Comparative evaluation of seven resistance interpretation algorithms and their derived genotypic inhibitory quotients for the prediction of 48 week virological response to darunavir-based salvage regimens | Zendy

Daniel González de Requena | Zendy; Stefano Bonora | Zendy; Ottavia Viganò | Zendy; Andrea Calcagno | Zendy; C. Cometto | Zendy; Antonio D’Avolio | Zendy; Lorena Baietto | Zendy; Valeria Ghisetti | Zendy; Sara Magnani | Zendy; Stefania Ferramosca | Zendy; Paola Vitiello | Zendy; Massimo Galli | Zendy; Stefano Rusconi | Zendy; Giovanni Di Perri | Zendy

Open Access

Comparative evaluation of seven resistance interpretation algorithms and their derived genotypic inhibitory quotients for the prediction of 48 week virological response to darunavir-based salvage regimens

Author(s) -

Daniel González de Requena,

Stefano Bonora,

Ottavia Viganò,

Andrea Calcagno,

C. Cometto,

Antonio D’Avolio,

Lorena Baietto,

Valeria Ghisetti,

Sara Magnani,

Stefania Ferramosca,

Paola Vitiello,

Massimo Galli,

Stefano Rusconi,

Giovanni Di Perri

Publication year - 2010

Publication title -

journal of antimicrobial chemotherapy

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.124

H-Index - 194

eISSN - 1460-2091

pISSN - 0305-7453

DOI - 10.1093/jac/dkq384

Subject(s) - darunavir , salvage therapy , algorithm , genotype , quotient , medicine , acquired resistance , biology , virology , drug resistance , mathematics , microbiology and biotechnology , combinatorics , genetics , virus , viral load , chemotherapy , antiretroviral therapy , gene

he darunavir genotypic inhibitory quotient (gIQ) has been suggested as one of the predictors of virological response to darunavir-containing salvage regimens. Nevertheless, which resistance algorithm should be used to optimize the calculation of gIQ is still debated. The aim of our study was to compare seven different free-access resistance algorithms and their derived gIQs as predictors of 48 week virological response to darunavir-based salvage therapy in the clinical setting.

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