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High Current CD4+ T Cell Count Predicts Suboptimal Adherence to Antiretroviral Therapy

High levels of adherence to antiretroviral therapy (ART) are necessary for achieving and maintaining optimal virological suppression, as suboptimal adherence leads to therapy failure and disease progression. It is well known that adherence to ART predicts therapy response, but it is unclear whether...

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Published in:PloS one 2015-10, Vol.10 (10), p.e0140791-e0140791
Main Authors: Pasternak, Alexander O, de Bruin, Marijn, Bakker, Margreet, Berkhout, Ben, Prins, Jan M
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description High levels of adherence to antiretroviral therapy (ART) are necessary for achieving and maintaining optimal virological suppression, as suboptimal adherence leads to therapy failure and disease progression. It is well known that adherence to ART predicts therapy response, but it is unclear whether clinical outcomes of ART predict adherence. To examine the predictive power of current CD4+ T cell count for adherence of HIV-infected individuals to ART, we performed a cross-sectional analysis of 133 Dutch HIV patients with electronically measured adherence. In a multivariate analysis adjusting for a number of sociodemographic and clinical variables, high current CD4+ T cell count (>660 cells/mm3) was most strongly associated with lower adherence to ART (assessed as a continuous variable) during a two-month period immediately following the measurements of variables (P = 0.008). The twice-per-day (versus once-per-day) dosing regimen was also significantly associated with lower adherence (P = 0.014). In a second multivariate analysis aimed at determining the predictors of suboptimal (
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It is well known that adherence to ART predicts therapy response, but it is unclear whether clinical outcomes of ART predict adherence. To examine the predictive power of current CD4+ T cell count for adherence of HIV-infected individuals to ART, we performed a cross-sectional analysis of 133 Dutch HIV patients with electronically measured adherence. In a multivariate analysis adjusting for a number of sociodemographic and clinical variables, high current CD4+ T cell count (&gt;660 cells/mm3) was most strongly associated with lower adherence to ART (assessed as a continuous variable) during a two-month period immediately following the measurements of variables (P = 0.008). The twice-per-day (versus once-per-day) dosing regimen was also significantly associated with lower adherence (P = 0.014). In a second multivariate analysis aimed at determining the predictors of suboptimal (&lt;100% of the doses taken) adherence, high current CD4+ T cell count was again the strongest independent predictor of suboptimal adherence to ART (P = 0.015), and the twice-per-day dosing regimen remained associated with suboptimal adherence (P = 0.025). The association between suboptimal adherence and virological suppression was significant in patients with high CD4+ T cell counts, but not in patients with low or intermediate CD4+ T cell counts (P = 0.036 and P = 0.52, respectively; P = 0.047 for comparison of the effects of adherence on virological suppression between patients with high vs. low or intermediate CD4+ T cell counts), suggesting that apart from promoting suboptimal adherence, high CD4+ T cell count also strengthens the effect of adherence on virological suppression. 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It is well known that adherence to ART predicts therapy response, but it is unclear whether clinical outcomes of ART predict adherence. To examine the predictive power of current CD4+ T cell count for adherence of HIV-infected individuals to ART, we performed a cross-sectional analysis of 133 Dutch HIV patients with electronically measured adherence. In a multivariate analysis adjusting for a number of sociodemographic and clinical variables, high current CD4+ T cell count (&gt;660 cells/mm3) was most strongly associated with lower adherence to ART (assessed as a continuous variable) during a two-month period immediately following the measurements of variables (P = 0.008). The twice-per-day (versus once-per-day) dosing regimen was also significantly associated with lower adherence (P = 0.014). In a second multivariate analysis aimed at determining the predictors of suboptimal (&lt;100% of the doses taken) adherence, high current CD4+ T cell count was again the strongest independent predictor of suboptimal adherence to ART (P = 0.015), and the twice-per-day dosing regimen remained associated with suboptimal adherence (P = 0.025). The association between suboptimal adherence and virological suppression was significant in patients with high CD4+ T cell counts, but not in patients with low or intermediate CD4+ T cell counts (P = 0.036 and P = 0.52, respectively; P = 0.047 for comparison of the effects of adherence on virological suppression between patients with high vs. low or intermediate CD4+ T cell counts), suggesting that apart from promoting suboptimal adherence, high CD4+ T cell count also strengthens the effect of adherence on virological suppression. Therefore, sustained efforts to emphasize continued adherence are necessary, especially for patients with high CD4+ T cell counts.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>26468956</pmid><doi>10.1371/journal.pone.0140791</doi><oa>free_for_read</oa></addata></record>
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subjects Acquired immune deficiency syndrome
Adhesion
Adult
AIDS
Analysis
Anti-Retroviral Agents - therapeutic use
Antiretroviral agents
Antiretroviral drugs
Antiretroviral therapy
Behavior modification
CD4 antigen
CD4 Lymphocyte Count
CD4 lymphocytes
CD4-Positive T-Lymphocytes - pathology
Continuity (mathematics)
Cross-Sectional Studies
Dosage
Drug therapy
Female
Generalized linear models
Genetic aspects
High current
Highly active antiretroviral therapy
HIV
HIV Infections - blood
HIV Infections - diagnosis
HIV Infections - drug therapy
HIV Infections - epidemiology
HIV-1
Human immunodeficiency virus
Humans
Immunology
Infections
Intervention
Laboratories
Lymphocytes
Lymphocytes T
Male
Medication Adherence - statistics & numerical data
Middle Aged
Multivariate analysis
Netherlands - epidemiology
Patient compliance
Patients
Physiological aspects
Prognosis
Sociodemographics
Studies
Success
Therapy
Variables
Viral Load
Virology
title High Current CD4+ T Cell Count Predicts Suboptimal Adherence to Antiretroviral Therapy
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