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Phenotypic
Drug Susceptibility Testing Predicts Long-Term Virologic Suppression
Better than Treatment History in Patients with Human Immunodeficiency
Virus Infection [Call SA, et al. JID 2001;183:401]: This
is a retrospective analysis of a cohort of patients followed at
the University of Alabama at Birmingham School of Medicine. Resistance
testing was done with the Pheno Sense HIV-1 assay, and two separate
criteria were used for susceptibility, IC 50 values of 2.5x or 4x
higher than the reference values. Multivariate analysis including
clinical and treatment history plus phenotypic drug susceptibility
demonstrated that the susceptibility test result was a strong predictor
to time of treatment failure. These results applied to both the
2.5-fold and the 4.0-fold thresholds. The median time to treatment
failure based on the number of drugs that were active in vitro
at the 4.0-fold threshold for 0 - 1 drugs was 107 days, for 2 drugs
was 182 days, and for 3 - 4 drugs it was 242 days. Compared to clinical
decisions based on history, phenotypic susceptibility proved to
be an independent predictor of time to treatment failure with an
OR of 0.7.
Comment: Drug susceptibility for HIV is clearly in a state
of evolution in which there are several studies showing benefit,
but many of these show the differences decline with prolonged periods
of observation. One of the major concerns about these tests is the
interpretation, and this applies to both genotypic testing and phenotypic
testing. In this case, the phenotypic test results were analyzed
with two thresholds, 2.5-fold above the reference strain and 4.0-fold
above the reference strain. There are obvious differences between
drugs, so this arbitrary selection of a threshold for all drugs
is clearly inappropriate. The two companies that produce phenotypic
assays now report sensitivities based on thresholds for each drug.
The results of the study from Alabama seem to show benefit compared
to clinical decisions based on history. This is in agreement with
some studies, but others show no benefit compared to standard of
care without resistance testing. At the moment, resistance testing
appears to be a relatively crude science that requires expert interpretation.
posted
2/22/2001

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