Show simple item record

dc.contributor.authorParedes, Rogeren_US
dc.contributor.authorTzou, Philip L.en_US
dc.contributor.authorvan Zyl, Gerten_US
dc.contributor.authorBarrow, Geoffen_US
dc.contributor.authorCamacho, Ricardoen_US
dc.contributor.authorCarmona, Sergioen_US
dc.contributor.authorGrant, Philip M.en_US
dc.contributor.authorGupta, Ravindra K.en_US
dc.contributor.authorHamers, Raph L.en_US
dc.contributor.authorHarrigan, P. Richarden_US
dc.contributor.authorJordan, Michael R.en_US
dc.contributor.authorKantor, Ramien_US
dc.contributor.authorKatzenstein, David A.en_US
dc.contributor.authorKuritzkes, Daniel R.en_US
dc.contributor.authorMaldarelli, Franken_US
dc.contributor.authorOtelea, Danen_US
dc.contributor.authorWallis, Carole L.en_US
dc.contributor.authorSchapiro, Jonathan M.en_US
dc.contributor.authorShafer, Robert W.en_US
dc.date.accessioned2017-11-21T20:40:04Z
dc.date.issued2017en_US
dc.identifier.citationParedes, R., P. L. Tzou, G. van Zyl, G. Barrow, R. Camacho, S. Carmona, P. M. Grant, et al. 2017. “Collaborative update of a rule-based expert system for HIV-1 genotypic resistance test interpretation.” PLoS ONE 12 (7): e0181357. doi:10.1371/journal.pone.0181357. http://dx.doi.org/10.1371/journal.pone.0181357.en
dc.identifier.issnen
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:34375032
dc.description.abstractIntroduction: HIV-1 genotypic resistance test (GRT) interpretation systems (IS) require updates as new studies on HIV-1 drug resistance are published and as treatment guidelines evolve. Methods: An expert panel was created to provide recommendations for the update of the Stanford HIV Drug Resistance Database (HIVDB) GRT-IS. The panel was polled on the ARVs to be included in a GRT report, and the drug-resistance interpretations associated with 160 drug-resistance mutation (DRM) pattern-ARV combinations. The DRM pattern-ARV combinations included 52 nucleoside RT inhibitor (NRTI) DRM pattern-ARV combinations (13 patterns x 4 NRTIs), 27 nonnucleoside RT inhibitor (NNRTI) DRM pattern-ARV combinations (9 patterns x 3 NNRTIs), 39 protease inhibitor (PI) DRM pattern-ARV combinations (13 patterns x 3 PIs) and 42 integrase strand transfer inhibitor (INSTI) DRM pattern-ARV combinations (14 patterns x 3 INSTIs). Results: There was universal agreement that a GRT report should include the NRTIs lamivudine, abacavir, zidovudine, emtricitabine, and tenofovir disoproxil fumarate; the NNRTIs efavirenz, etravirine, nevirapine, and rilpivirine; the PIs atazanavir/r, darunavir/r, and lopinavir/r (with “/r” indicating pharmacological boosting with ritonavir or cobicistat); and the INSTIs dolutegravir, elvitegravir, and raltegravir. There was a range of opinion as to whether the NRTIs stavudine and didanosine and the PIs nelfinavir, indinavir/r, saquinavir/r, fosamprenavir/r, and tipranavir/r should be included. The expert panel members provided highly concordant DRM pattern-ARV interpretations with only 6% of NRTI, 6% of NNRTI, 5% of PI, and 3% of INSTI individual expert interpretations differing from the expert panel median by more than one resistance level. The expert panel median differed from the HIVDB 7.0 GRT-IS for 20 (12.5%) of the 160 DRM pattern-ARV combinations including 12 NRTI, two NNRTI, and six INSTI pattern-ARV combinations. Eighteen of these differences were updated in HIVDB 8.1 GRT-IS to reflect the expert panel median. Additionally, HIVDB users are now provided with the option to exclude those ARVs not considered to be universally required. Conclusions: The HIVDB GRT-IS was updated through a collaborative process to reflect changes in HIV drug resistance knowledge, treatment guidelines, and expert opinion. Such a process broadens consensus among experts and identifies areas requiring further study.en
dc.language.isoen_USen
dc.publisherPublic Library of Scienceen
dc.relation.isversionofdoi:10.1371/journal.pone.0181357en
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC5533429/pdf/en
dash.licenseLAAen_US
dc.subjectBiology and Life Sciencesen
dc.subjectMicrobiologyen
dc.subjectMicrobial Controlen
dc.subjectAntimicrobial Resistanceen
dc.subjectMedicine and Health Sciencesen
dc.subjectPharmacologyen
dc.subjectMedical Microbiologyen
dc.subjectMicrobial Pathogensen
dc.subjectViral Pathogensen
dc.subjectImmunodeficiency Virusesen
dc.subjectHIVen
dc.subjectHIV-1en
dc.subjectPathology and Laboratory Medicineen
dc.subjectPathogensen
dc.subjectOrganismsen
dc.subjectVirusesen
dc.subjectBiology and life sciencesen
dc.subjectRNA virusesen
dc.subjectRetrovirusesen
dc.subjectLentivirusen
dc.subjectBiochemistryen
dc.subjectGlycobiologyen
dc.subjectGlycosylaminesen
dc.subjectNucleosidesen
dc.subjectEnzymologyen
dc.subjectEnzyme Inhibitorsen
dc.subjectProtease Inhibitorsen
dc.subjectImmunologyen
dc.subjectVaccination and Immunizationen
dc.subjectAntiviral Therapyen
dc.subjectAntiretroviral Therapyen
dc.subjectProtease Inhibitor Therapyen
dc.subjectPublic and Occupational Healthen
dc.subjectPreventive Medicineen
dc.subjectMolecular Biologyen
dc.subjectMolecular Biology Techniquesen
dc.subjectMolecular Biology Assays and Analysis Techniquesen
dc.subjectReporter Gene Assayen
dc.subjectHealth Careen
dc.subjectHealth Care Policyen
dc.subjectTreatment Guidelinesen
dc.titleCollaborative update of a rule-based expert system for HIV-1 genotypic resistance test interpretationen
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journalPLoS ONEen
dash.depositing.authorKuritzkes, Daniel R.en_US
dc.date.available2017-11-21T20:40:04Z
dc.identifier.doi10.1371/journal.pone.0181357*
dash.authorsorderedfalse
dash.contributor.affiliatedKuritzkes, Daniel


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record