Literature DB >> 15776380

HIV-1 drug resistance: degree of underestimation by a cross-sectional versus a longitudinal testing approach.

P Richard Harrigan1, Brian Wynhoven, Zabrina L Brumme, Chanson J Brumme, Beheroze Sattha, Jennifer C Major, Rafael de la Rosa, Julio S G Montaner.   

Abstract

Genotyping of human immunodeficiency virus type 1 (HIV-1) for antiretroviral drug resistance is routinely used both in clinical practice, to guide the selection of options for an individual's antiretroviral therapy, and in epidemiological studies, to estimate levels of antiretroviral drug resistance in a patient population. However, reliance on results of a single test can result in an underestimation of antiretroviral drug resistance. In the present study, we quantified the prevalence of resistance-associated mutations found in recent genotypic tests of 1734 HIV-1-infected, treatment-experienced subjects who had at least 3 genotypic tests (n = 11,404 genotypic tests total; median, 5 tests/subject) and compared it with that of resistance-associated mutations ever detected in these subjects between 1996 and 2004. Single-point analyses underestimated antiretroviral drug resistance, particularly for nucleoside analogues, in both individuals and patient populations. For example, the prevalence of resistance-associated mutation M184V/I was 25.5% in the most recent genotypes and 58.8% in available historical genotypes. Our results suggest that analysis of a combined historical genotype rather than of a cross-sectional genotype may lead to more accurate estimates of antiretroviral drug resistance in individual patients and in patient populations.

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Year:  2005        PMID: 15776380     DOI: 10.1086/428852

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


  10 in total

1.  HIV-infected individuals with co-occurring bipolar disorder evidence poor antiretroviral and psychiatric medication adherence.

Authors:  David J Moore; Carolina Posada; Mili Parikh; Miguel Arce; Florin Vaida; Patricia K Riggs; Ben Gouaux; Ronald J Ellis; Scott L Letendre; Igor Grant; J Hampton Atkinson
Journal:  AIDS Behav       Date:  2012-11

2.  Directly administered antiretroviral therapy for HIV-infected drug users does not have an impact on antiretroviral resistance: results from a randomized controlled trial.

Authors:  Duncan Smith-Rohrberg Maru; Michael J Kozal; R Douglas Bruce; Sandra A Springer; Frederick L Altice
Journal:  J Acquir Immune Defic Syndr       Date:  2007-12-15       Impact factor: 3.731

3.  Accumulated pre-switch resistance to more recently introduced one-pill-once-a-day antiretroviral regimens impacts HIV-1 virologic outcome.

Authors:  Rebecca Reece; Allison Delong; D'Antuono Matthew; Karen Tashima; Rami Kantor
Journal:  J Clin Virol       Date:  2018-05-21       Impact factor: 3.168

4.  Antiretroviral therapy optimisation without genotype resistance testing: a perspective on treatment history based models.

Authors:  Mattia C F Prosperi; Michal Rosen-Zvi; André Altmann; Maurizio Zazzi; Simona Di Giambenedetto; Rolf Kaiser; Eugen Schülter; Daniel Struck; Peter Sloot; David A van de Vijver; Anne-Mieke Vandamme; Anders Sönnerborg
Journal:  PLoS One       Date:  2010-10-29       Impact factor: 3.240

5.  Canadian Consensus Recommendations for the Optimal Use of Enfuvirtide in HIV/AIDS Patients.

Authors:  Anita Rachlis; Jonathan Angel; Marianne Harris; Richard Lalonde; Fiona Smaill; Cecile Tremblay; Chris Tsoukas; Sharon Walmsley
Journal:  Can J Infect Dis Med Microbiol       Date:  2006-05       Impact factor: 2.471

Review 6.  HIV-1 antiretroviral resistance: scientific principles and clinical applications.

Authors:  Michele W Tang; Robert W Shafer
Journal:  Drugs       Date:  2012-06-18       Impact factor: 9.546

7.  Low-abundance HIV drug-resistant viral variants in treatment-experienced persons correlate with historical antiretroviral use.

Authors:  Thuy Le; Jennifer Chiarella; Birgitte B Simen; Bozena Hanczaruk; Michael Egholm; Marie L Landry; Kevin Dieckhaus; Marc I Rosen; Michael J Kozal
Journal:  PLoS One       Date:  2009-06-29       Impact factor: 3.240

8.  Predicting Malawian Women's Intention to Adhere to Antiretroviral Therapy.

Authors:  Ogbochi McKinney; Naomi N Modeste; Jerry W Lee; Peter C Gleason
Journal:  J Public Health Res       Date:  2015-07-16

9.  Adherence as a predictor of the development of class-specific resistance mutations: the Swiss HIV Cohort Study.

Authors:  Viktor von Wyl; Thomas Klimkait; Sabine Yerly; Dunja Nicca; Hansjakob Furrer; Matthias Cavassini; Alexandra Calmy; Enos Bernasconi; Jürg Böni; Vincent Aubert; Huldrych F Günthard; Heiner C Bucher; Tracy R Glass
Journal:  PLoS One       Date:  2013-10-16       Impact factor: 3.240

10.  High Levels of Dual-Class Drug Resistance in HIV-Infected Children Failing First-Line Antiretroviral Therapy in Southern Ethiopia.

Authors:  Birkneh Tilahun Tadesse; Natalie N Kinloch; Bemuluyigza Baraki; Hope R Lapointe; Kyle D Cobarrubias; Mark A Brockman; Chanson J Brumme; Byron A Foster; Degu Jerene; Eyasu Makonnen; Eleni Aklillu; Zabrina L Brumme
Journal:  Viruses       Date:  2018-02-01       Impact factor: 5.048

  10 in total

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