Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorVongsakorn Poonpiriyaen_US
dc.contributor.authorSomnuek Sungkanuparphen_US
dc.contributor.authorPranee Leechanachaien_US
dc.contributor.authorEkawat Pasomsuben_US
dc.contributor.authorChotip Watitpunen_US
dc.contributor.authorSirichan Chunhakanen_US
dc.contributor.authorWasun Chantratitaen_US
dc.description.abstractSince the free therapy program was started by the Thai government, the number of patients infected by HIV-1 with access to antiretroviral drugs has increased. The selection of effective interpretation algorithms for antiretroviral drug resistance has become even more important for clinical management. In this retrospective study, the level of agreement was evaluated in 721 antiretroviral-therapy failing HIV-1 subjects. Regarding genetic diversity, about 89% was recognized as non-B variants (CRF01_AE). The level of complete concordant interpretation score in all seven algorithms was recognized in non-nucleoside reverse transcriptase inhibitors (NNRTIs) and protease inhibitors (PIs) (67%), but not in nucleoside reverse transcriptase inhibitors (NRTIs) (52%). Over 10% of the major discordance score with TRUGENE was revealed in didanosine (Agence Nationale de Recherches sur le SIDA[ANRS]; Detroit Medical Centre [DMC]), abacavir (ANRS; Centre Hospitalier de Luxembourg [CHL]), and also with delavirdine, indinavir and amprenavir (Grupo de Aconselhamento Virológico [GAV]). A good to excellent agreement range of kappa scores was detected for most antiretroviral drugs. However, poor agreement with the TRUGENE system (k < 0.40) was seen in the ANRS system with didanosine, abacavir and lopinavir; GAV system in indinavir and amprenavir; and DMC system in ritonavir. These might be an option for resource limited countries when selecting the use of a low cost or free algorithm interpretation, which has excellent agreement as the U.S. Food and Drug Administration (FDA)-approved TRUGENE commercial system. © 2008 Elsevier B.V. All rights reserved.en_US
dc.subjectImmunology and Microbiologyen_US
dc.titleA study of seven rule-based algorithms for the interpretation of HIV-1 genotypic resistance data in Thailanden_US
article.title.sourcetitleJournal of Virological Methodsen_US
article.volume151en_US of Medicine, Ramathibodi Hospital, Mahidol Universityen_US Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

Files in This Item:
There are no files associated with this item.

Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.