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Session 94
Poster Abstracts Resistance Predictors of Virologic Response and Clinical Outcome Tuesday, 1:30 - 3:30 pm Poster Hall |
Background: The effect of
delavirdine (DLV) hypersusceptibility has not been demonstrated and appropriate
cut-points that best define hypersusceptibilit are needed to make optimal use
of phenotype assays.
Methods: Phenotypic drug
susceptibility (fold change in IC50, ViroLogic) was determined for 96
randomly selected NNRTI-naïve patients who received DLV during ACTG 359.
Indinavir-experienced patients (= 6 months) were randomized to SQV and either
RTV or NFV together with DLV, adefovir, or both. DLV hypersusceptibility was
analyzed as a dichotomous score (fold change cut-point at 0.4) and a continuous
phenotypic sensitivity score (CPSS: 0
for fold change values >2.5, intermediate for fold change values 0.1 to 2.5,
and 1 for fold change values <0.1). A CPSS was used to account for
susceptibility to other regimen agents. Regression methods were used to model baseline
DLV hypersusceptibilit and week 4 and 16 continuous (log10 value) or
categorical (= 500 copies/mL) virologic outcome after accounting for important
covariates. Regression and CART were used to define the best fold change
cut-point for DLV hypersusceptibility.
Results: The median baseline
log10 HIV RNA was 4.5 and CD4 was 203. DLV hypersusceptibility virus
was present in 36% and was associated with resistance to NRTI. Overall, 33% of
subjects achieved HIV RNA = 500 at week 16. Both continuous and categorical
week 16 HIV RNA responses were significantly associated with baseline HIV RNA
and CPSS, but not DLV hypersusceptibility. DLV hypersusceptibility was
significantly associated with continuous and categorical week 4 HIV RNA responses
after accounting for CPSS and baseline viral load. For example, patients with
hypersusceptibilit virus were 3.3 times more likely to achieve HIV RNA = 500 at
week 4 than those without hypersusceptibilit (adjusted p = 0.03). Linear and logistic regression models explored
hypersusceptibility cut-points from 0.2 to 1.0 using the week 4 virologic
response. Using a binary endpoint, a cut-point of 0.3 was most predictive while
a cut-point of 0.4 was the best predictor of continuous outcome. Interestingly,
the CART analysis identified DLV fold change <0.44 as a second predictor of
week 4 viral load (HIV RNA was the first predictor). The DLV
hypersusceptibility cut-point of 0.44 separated patients with a mean week 4
viral load of 2.5 and 3.2.
Conclusions: DLV
hypersusceptibility was an independent predictor of week 4, but not later,
virologic responses. This might have been due to lack of NRTI pressure and the
early rebound seen in this study with a low response rate. Several analytic
methods identified a hypersusceptibility fold change cut-point of 0.3 to 0.4.
In refining phenotypic cut-points, early virologic responses (not confounded by
rebound) may be better metrics than later responses.
Keywords: phenotype; hypersusceptibility; virologic response
