P Nieuwkerk1, E Gisolf, M Sprangers, S Danner. 1. Department of Medical Psychology, Academic Medical Center, University of Amsterdam, The Netherlands. p.t.nieuwkerk@amc.uva.nl
Abstract
OBJECTIVES: To investigate adherence to antiretroviral therapy over 48 weeks, to investigate the association between adherence and treatment-related symptoms and to investigate the impact of adherence on virological response over 48 weeks among established predictors of treatment success. METHODS: One-hundred-and-sixty HIV-1 infected protease inhibitor- and stavudine-naive patients participating in a trial of ritonavir/saquinavir versus ritonavir/saquinavir/ stavudine completed an adherence questionnaire and a symptom checklist at weeks 12, 24, 36 and 48. We calculated odds ratios between experienced symptoms and non-adherence. Regression models were used to determine predictors of HIV-1 RNA below 400 copies/ml at week 48, and of the area about the change from baseline over 48weeks (ACFB) in serum HIV-1 RNA. RESULTS: The percentage of patients reporting missing medication, deviation from time schedule, and dietary prescriptions at separate time-points ranged from 12 to 15%, 32 to 35% and 17 to 22%, respectively. The percentage that changed their level of adherence during 48 weeks ranged from 29% for skipping medication to 48% for deviation from time-schedule. Experienced side-effects were associated with an increased likelihood of non-adherence. Not skipping medication was an independent predictor of both having a serum HIV-1 RNA below 400 copies/ml at week 48 and the ACFB over 48weeks in serum HIV-1 RNA. CONCLUSIONS: Adherence was an independent predictor of virological response over 48 weeks. The level of adherence is variable within patients over time. This suggests the need for continued adherence monitoring in all patients as part of standard medical practice.
OBJECTIVES: To investigate adherence to antiretroviral therapy over 48 weeks, to investigate the association between adherence and treatment-related symptoms and to investigate the impact of adherence on virological response over 48 weeks among established predictors of treatment success. METHODS: One-hundred-and-sixty HIV-1 infected protease inhibitor- and stavudine-naive patients participating in a trial of ritonavir/saquinavir versus ritonavir/saquinavir/ stavudine completed an adherence questionnaire and a symptom checklist at weeks 12, 24, 36 and 48. We calculated odds ratios between experienced symptoms and non-adherence. Regression models were used to determine predictors of HIV-1 RNA below 400 copies/ml at week 48, and of the area about the change from baseline over 48weeks (ACFB) in serum HIV-1 RNA. RESULTS: The percentage of patients reporting missing medication, deviation from time schedule, and dietary prescriptions at separate time-points ranged from 12 to 15%, 32 to 35% and 17 to 22%, respectively. The percentage that changed their level of adherence during 48 weeks ranged from 29% for skipping medication to 48% for deviation from time-schedule. Experienced side-effects were associated with an increased likelihood of non-adherence. Not skipping medication was an independent predictor of both having a serum HIV-1 RNA below 400 copies/ml at week 48 and the ACFB over 48weeks in serum HIV-1 RNA. CONCLUSIONS: Adherence was an independent predictor of virological response over 48 weeks. The level of adherence is variable within patients over time. This suggests the need for continued adherence monitoring in all patients as part of standard medical practice.
Authors: Staci Martin; Deborah K Elliott-DeSorbo; Sarah Calabrese; Pamela L Wolters; Gregg Roby; Tara Brennan; Lauren V Wood Journal: AIDS Patient Care STDS Date: 2009-08 Impact factor: 5.078
Authors: Nienke Langebeek; Elizabeth H Gisolf; Peter Reiss; Sigrid C Vervoort; Thóra B Hafsteinsdóttir; Clemens Richter; Mirjam A G Sprangers; Pythia T Nieuwkerk Journal: BMC Med Date: 2014-08-21 Impact factor: 8.775
Authors: Sabrina K Been; David A M C van de Vijver; Pythia T Nieuwkerk; Inês Brito; Sarah E Stutterheim; Arjan E R Bos; Mireille E G Wolfers; Katalin Pogány; Annelies Verbon Journal: PLoS One Date: 2016-10-05 Impact factor: 3.240
Authors: Sabrina K Been; Elif Yildiz; Pythia T Nieuwkerk; Katalin Pogány; David A M C van de Vijver; Annelies Verbon Journal: PLoS One Date: 2017-11-09 Impact factor: 3.240