OBJECTIVE: To develop a stepwise methodology for the development and validation of clinically relevant genotypic score for resistance to antiretroviral drugs and to apply this approach to the genotypic resistance to abacavir. METHODS: All patients having received abacavir during the Narval trial were included in this study. The impact of each nucleoside analogue resistance mutation on the virologic response to abacavir was studied in a univariate analysis. Mutations with a P value < 0.20 and those selected by abacavir were retained. According to the number of mutations three levels of resistance were defined. A multivariate analysis accounting for confonding variables assessed whether the genotypic score was an independent predictor of the response. The robustness of the score was analysed using the bootstrap resampling method. RESULTS: In the 175 patients exposed to abacavir, the strongest association between the decrease in viral load and the number of mutations was observed with a set of six mutations at codons 41, 67, 210, 215, 74 and 184 of the reverse transcriptase gene. In patients with fewer than four mutations (no evidence of resistance) the median decrease in viral load was -1.64 log(10) copies/ml while it was -0.69 log(10) and -0.19 log(10) in those with four (possible resistance) and five or six (resistance) mutations respectively. In the multivariate analysis this score was an independent predictor of the response. The bootstrap analysis showed the robustness of the score. CONCLUSIONS: We developed a new strategy for the analysis of correlation between genotype profile at baseline and virologic response.
OBJECTIVE: To develop a stepwise methodology for the development and validation of clinically relevant genotypic score for resistance to antiretroviral drugs and to apply this approach to the genotypic resistance to abacavir. METHODS: All patients having received abacavir during the Narval trial were included in this study. The impact of each nucleoside analogue resistance mutation on the virologic response to abacavir was studied in a univariate analysis. Mutations with a P value < 0.20 and those selected by abacavir were retained. According to the number of mutations three levels of resistance were defined. A multivariate analysis accounting for confonding variables assessed whether the genotypic score was an independent predictor of the response. The robustness of the score was analysed using the bootstrap resampling method. RESULTS: In the 175 patients exposed to abacavir, the strongest association between the decrease in viral load and the number of mutations was observed with a set of six mutations at codons 41, 67, 210, 215, 74 and 184 of the reverse transcriptase gene. In patients with fewer than four mutations (no evidence of resistance) the median decrease in viral load was -1.64 log(10) copies/ml while it was -0.69 log(10) and -0.19 log(10) in those with four (possible resistance) and five or six (resistance) mutations respectively. In the multivariate analysis this score was an independent predictor of the response. The bootstrap analysis showed the robustness of the score. CONCLUSIONS: We developed a new strategy for the analysis of correlation between genotype profile at baseline and virologic response.
Authors: S Di Giambenedetto; C Torti; M Prosperi; N Manca; G Lapadula; G Paraninfo; N Ladisa; M Zazzi; M Trezzi; P Cicconi; P Corsi; P Nasta; R Cauda; A De Luca Journal: Infection Date: 2009-08-07 Impact factor: 3.553
Authors: Oliver Bembom; Maya L Petersen; Soo-Yon Rhee; W Jeffrey Fessel; Sandra E Sinisi; Robert W Shafer; Mark J van der Laan Journal: Stat Med Date: 2009-01-15 Impact factor: 2.373
Authors: M M Santoro; A Bertoli; P Lorenzini; F Ceccherini-Silberstein; N Gianotti; C Mussini; C Torti; G Di Perri; G Barbarini; T Bini; S Melzi; P Caramello; R Maserati; P Narciso; V Micheli; A Antinori; C F Perno Journal: Infection Date: 2009-01-23 Impact factor: 3.553