Their algorithm is not well suited to this study because schedule

Their algorithm is not well suited to this study because scheduled follow-up visits in the SHCS are 6 months apart, so viral suppression or viral rebound may go undetected if two consecutive measurements are required either below or above some threshold, respectively. We assessed failure in each of three periods: 0 to 24 weeks, >24 to 48 weeks, and >48 to 72 weeks. Any patient with no visit in one period who then failed in the next period was assumed to have first failed in the preceding period with no visit. We assessed virological failure using three variants of the FDA’s algorithm. In all variants, death or a clinician stopping the use of any drug because

of ‘treatment failure’ was also considered a failure. In the first variant, viral suppression was defined as the first of two consecutive viral load measurements below 50 copies/mL; TGF-beta tumor viral rebound was defined as the first of two consecutive viral load measurements of 50 copies/mL or more after suppression. Oligomycin A nmr In the second variant, viral suppression was defined as a first viral load measurement below 50 copies/mL; viral rebound was defined as a first viral load measurement of 400 copies/mL or more after suppression. The third variant used the same definitions as the second but,

in addition, stopping the use of darunavir for any reason was also considered a failure. We considered risk factors for virological failure suggested by the PLATO II multi-cohort collaboration [18]. In PLATO II, the rate of virological failure for patients starting a second therapy with a boosted PI (after failing a first therapy with an NNRTI) was lower for homosexual men, for those with lower viral load and higher CD4 cell count when starting the second therapy, and for those who spent less than 3 months on their first therapy after viral rebound and

before starting the second therapy. There was also weak evidence that including a de novo nucleoside reverse transcriptase inhibitor (NRTI) in the second therapy was associated with a lower rate of virological failure. These results suggest that a model for virological failure on salvage therapy should include measures of patient health, adherence to therapy and the potency of therapy. We Nutlin-3 supplier used viral load and CD4 cell count when starting salvage therapy as measures of patient health (and, if undetectable, viral load was set to the lower limit of detection). We defined poor adherence as either missing two doses in a row or missing a dose at least once a week (of any antiretroviral drug, not just darunavir) if this was reported at two or more of the last four visits prior to starting salvage therapy. These variables are imperfect measures of patient health and adherence; therefore we also included the generic predictors age and gender in our model. As a measure of the potency of therapy, we used an overall genotypic sensitivity score (GSS) based on a cumulative analysis of all resistance tests made prior to starting darunavir.

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