Comparison of predicted susceptibility between genotype and virtual phenotype HIV drug resistance interpretation systems among treatment-naive HIV-infected patients in Asia: TASER-M cohort analysis
Background: Accurate interpretation of HIV drug resistance (HIVDR) testing is challenging, yet important for patient care. We compared genotyping interpretation, based on the Stanford University HIV Drug Resistance Database (Stanford HIVdb), and virtual phenotyping, based on the Janssen Diagnostic...
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Main Authors: | , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
2012
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Subjects: | |
Online Access: | http://eprints.um.edu.my/9599/1/00000544_91079.pdf http://eprints.um.edu.my/9599/ |
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Summary: | Background: Accurate interpretation of HIV drug resistance (HIVDR) testing is challenging, yet important for patient
care. We compared genotyping interpretation, based on the Stanford University HIV Drug Resistance Database
(Stanford HIVdb), and virtual phenotyping, based on the Janssen Diagnostics BVBA’s vircoTYPE™ HIV-1, and
investigated their level of agreement in antiretroviral (ARV) naive patients in Asia, where non-B subtypes
predominate.
Methods: Sequences from 1301 ARV-naive patients enrolled in the TREAT Asia Studies to Evaluate
Resistance – Monitoring Study (TASER-M) were analysed by both interpreting systems. Interpretations from both
Stanford HIVdb and vircoTYPE™ HIV-1 were initially grouped into 2 levels: susceptible and non-susceptible.
Discrepancy was defined as a discordant result between the susceptible and non-susceptible interpretations from
the two systems for the same ARV. Further analysis was performed when interpretations from both systems were
categorised into 3 levels: susceptible, intermediate and resistant; whereby discrepancies could be categorised as
major discrepancies and minor discrepancies. Major discrepancy was defined as having a susceptible result from
one system and resistant from the other. Minor discrepancy corresponded to having an intermediate interpretation
in one system, with a susceptible or resistant result in the other. The level of agreement was analysed using the
prevalence adjusted bias adjusted kappa (PABAK).
Results: Overall, the agreement was high, with each ARV being in “almost perfect agreement”, using Landis and
Koch’s categorisation. Highest discordance was observed for efavirenz (75/1301, 5.8%), all arising from susceptible
Stanford HIVdb versus non-susceptible vircoTYPE™ HIV-1 predictions. Protease Inhibitors had highest level of
concordance with PABAKs all above 0.99, followed by Nucleoside Reverse Transcriptase Inhibitors with PABAKs
above 0.97 and non-NRTIs with the lowest PABAK of 0.88. The 68/75 patients with discordant efavirenz results
harboured the V179D/E mutations compared to 7/1226 with no efavirenz discrepancy (p-value <0.001). In the
3-level comparison, all but one of the discrepancies was minor. |
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