Dissemin is shutting down on January 1st, 2025

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International Medical Press, Antiviral Therapy, 8(21), p. 661-670

DOI: 10.3851/imp3064

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Determinants of virological response to antiretroviral therapy: socio-economic status still plays a role in the era of cART. Results from the ANRS-VESPA 2 study, France

Journal article published in 2015 by Kayigan W. D'Almeida, France Lert, Bruno Spire, Rosemary Dray-Spira ORCID
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Data provided by SHERPA/RoMEO

Abstract

Background Disparities in combined antiretroviral therapy (cART) outcomes have been consistently reported among people living with HIV (PLWHIV). The present study aims at investigating the mechanisms underlying those disparities among PLWHIV in France. Methods We used data from the Vespa2 survey, a large national cross-sectional survey, representative of HIV-infected people followed at hospitals in 2011. Among participants diagnosed ≥1996, HIV treatment-naive at the time of cART initiation and on cART for at least 12 months, the frequency of sustained virological suppression (SVS; undetectable viral load [<50 copies/ml] for at least 6 months) at the time of the survey, was assessed and its social determinants were measured through logistic regression, accounting for clinical and biological determinants of response to cART. Results Among 1,246 participants, 77.7% had achieved SVS. SVS was less frequent among those unemployed (0.6 [range 0.3-1.0]) and those with the lowest level of education (0.4 [range 0.2-0.9]). The late presenters, diagnosed at a CD4+ T-cell count <200/mm3 (0.5 [range 0.3-0.9]) and the late starters, diagnosed at a CD4+ T-cell count >200 but initiating cART at CD4+ T-cell count <200 (0.3 [range 0.1-0.8]) were less likely than the ideal starters (≥350 CD4+ T-cells/mm3 at cART initiation) to achieve SVS, as were those who reported suboptimal adherence versus those reporting optimal adherence (0.4 [range 0.2-0.7]). In bivariate analyses, material deprivation, discrimination and a weak social network were also associated with a poorer treatment response. Conclusions Structural social factors remain strong determinants of treatment response and should be addressed in a broad approach of care, but wider political issues should also be investigated.