A study of seven rule-based algorithms for the interpretation of HIV-1 genotypic resistance data in Thailand
Since 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 managemen...
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th-cmuir.6653943832-604692018-09-10T03:43:20Z A study of seven rule-based algorithms for the interpretation of HIV-1 genotypic resistance data in Thailand Vongsakorn Poonpiriya Somnuek Sungkanuparph Pranee Leechanachai Ekawat Pasomsub Chotip Watitpun Sirichan Chunhakan Wasun Chantratita Immunology and Microbiology Since 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. 2018-09-10T03:43:20Z 2018-09-10T03:43:20Z 2008-07-01 Journal 01660934 2-s2.0-44649084936 10.1016/j.jviromet.2008.03.017 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=44649084936&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/60469 |
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Immunology and Microbiology Vongsakorn Poonpiriya Somnuek Sungkanuparph Pranee Leechanachai Ekawat Pasomsub Chotip Watitpun Sirichan Chunhakan Wasun Chantratita A study of seven rule-based algorithms for the interpretation of HIV-1 genotypic resistance data in Thailand |
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Since 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. |
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Journal |
author |
Vongsakorn Poonpiriya Somnuek Sungkanuparph Pranee Leechanachai Ekawat Pasomsub Chotip Watitpun Sirichan Chunhakan Wasun Chantratita |
author_facet |
Vongsakorn Poonpiriya Somnuek Sungkanuparph Pranee Leechanachai Ekawat Pasomsub Chotip Watitpun Sirichan Chunhakan Wasun Chantratita |
author_sort |
Vongsakorn Poonpiriya |
title |
A study of seven rule-based algorithms for the interpretation of HIV-1 genotypic resistance data in Thailand |
title_short |
A study of seven rule-based algorithms for the interpretation of HIV-1 genotypic resistance data in Thailand |
title_full |
A study of seven rule-based algorithms for the interpretation of HIV-1 genotypic resistance data in Thailand |
title_fullStr |
A study of seven rule-based algorithms for the interpretation of HIV-1 genotypic resistance data in Thailand |
title_full_unstemmed |
A study of seven rule-based algorithms for the interpretation of HIV-1 genotypic resistance data in Thailand |
title_sort |
study of seven rule-based algorithms for the interpretation of hiv-1 genotypic resistance data in thailand |
publishDate |
2018 |
url |
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=44649084936&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/60469 |
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1681425441561247744 |