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Adherence as a Predictor of the Development of Class-Specific Resistance Mutations: The Swiss HIV Cohort Study
Author(s) -
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,
and the Swiss HIV Cohort Study
Publication year - 2013
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0077691
Subject(s) - resistance mutation , medicine , odds ratio , regimen , confidence interval , drug resistance , prospective cohort study , hiv drug resistance , cohort study , logistic regression , cohort , viral load , antiretroviral therapy , human immunodeficiency virus (hiv) , immunology , biology , reverse transcriptase , genetics , polymerase chain reaction , gene
Background Non-adherence is one of the strongest predictors of therapeutic failure in HIV-positive patients. Virologic failure with subsequent emergence of resistance reduces future treatment options and long-term clinical success. Methods Prospective observational cohort study including patients starting new class of antiretroviral therapy (ART) between 2003 and 2010. Participants were naïve to ART class and completed ≥1 adherence questionnaire prior to resistance testing. Outcomes were development of any IAS-USA, class-specific, or M184V mutations. Associations between adherence and resistance were estimated using logistic regression models stratified by ART class. Results Of 314 included individuals, 162 started NNRTI and 152 a PI/r regimen. Adherence was similar between groups with 85% reporting adherence ≥95%. Number of new mutations increased with increasing non-adherence. In NNRTI group, multivariable models indicated a significant linear association in odds of developing IAS-USA (odds ratio (OR) 1.66, 95% confidence interval (CI): 1.04-2.67) or class-specific (OR 1.65, 95% CI: 1.00-2.70) mutations. Levels of drug resistance were considerably lower in PI/r group and adherence was only significantly associated with M184V mutations (OR 8.38, 95% CI: 1.26-55.70). Adherence was significantly associated with HIV RNA in PI/r but not NNRTI regimens. Conclusion Therapies containing PI/r appear more forgiving to incomplete adherence compared with NNRTI regimens, which allow higher levels of resistance, even with adherence above 95%. However, in failing PI/r regimens good adherence may prevent accumulation of further resistance mutations and therefore help to preserve future drug options. In contrast, adherence levels have little impact on NNRTI treatments once the first mutations have emerged.

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