Browsing by Author "Balestre, Eric"
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- ItemOpen AccessMean CD4 cell count changes in patients failing a first-line antiretroviral therapy in resource-limited settings(BioMed Central Ltd, 2012) Calmy, Alexandra; Balestre, Eric; Bonnet, Fabrice; Boulle, Andrew; Sprinz, Eduardo; Wood, Robin; Delaporte, Eric; Messou, Eugene; McIntyre, James; El Filali, Kamal; Schechter, Mauro; Kumarasamy, N; Bangsberg, David; McPhail, Patrick; Van Der Borght,BACKGROUND: Changes in CD4 cell counts are poorly documented in individuals with low or moderate-level viremia while on antiretroviral treatment (ART) in resource-limited settings. We assessed the impact of on-going HIV-RNA replication on CD4 cell count slopes in patients treated with a first-line combination ART.METHOD:Naive patients on a first-line ART regimen with at least two measures of HIV-RNA available after ART initiation were included in the study. The relationships between mean CD4 cell count change and HIV-RNA at 6 and 12months after ART initiation (M6 and M12) were assessed by linear mixed models adjusted for gender, age, clinical stage and year of starting ART. RESULTS: 3,338 patients were included (14 cohorts, 64% female) and the group had the following characteristics: a median follow-up time of 1.6years, a median age of 34years, and a median CD4 cell count at ART initiation of 107 cells/muL. All patients with suppressed HIV-RNA at M12 had a continuous increase in CD4 cell count up to 18months after treatment initiation. By contrast, any degree of HIV-RNA replication both at M6 and M12 was associated with a flat or a decreasing CD4 cell count slope. Multivariable analysis using HIV-RNA thresholds of 10,000 and 5,000 copies confirmed the significant effect of HIV-RNA on CD4 cell counts both at M6 and M12. CONCLUSION: In routinely monitored patients on an NNRTI-based first-line ART, on-going low-level HIV-RNA replication was associated with a poor immune outcome in patients who had detectable levels of the virus after one year of ART.
- ItemOpen AccessUniversal Definition of Loss to Follow-Up in HIV Treatment Programs: A Statistical Analysis of 111 Facilities in Africa, Asia, and Latin America(Public Library of Science, 2011) Chi, Benjamin H; Yiannoutsos, Constantin T; Westfall, Andrew O; Newman, Jamie E; Zhou, Jialun; Cesar, Carina; Brinkhof, Martin W G; Mwango, Albert; Balestre, Eric; Carriquiry, GabrielaBackground: Although patient attrition is recognized as a threat to the long-term success of antiretroviral therapy programs worldwide, there is no universal definition for classifying patients as lost to follow-up (LTFU). We analyzed data from health facilities across Africa, Asia, and Latin America to empirically determine a standard LTFU definition. Methods and Findings: At a set ''status classification'' date, patients were categorized as either ''active'' or ''LTFU'' according to different intervals from time of last clinic encounter. For each threshold, we looked forward 365 d to assess the performance and accuracy of this initial classification. The best-performing definition for LTFU had the lowest proportion of patients misclassified as active or LTFU. Observational data from 111 health facilities - representing 180,718 patients from 19 countries - were included in this study. In the primary analysis, for which data from all facilities were pooled, an interval of 180 d (95% confidence interval [CI]: 173–181 d) since last patient encounter resulted in the fewest misclassifications (7.7%, 95% CI: 7.6%–7.8%). A secondary analysis that gave equal weight to cohorts and to regions generated a similar result (175 d); however, an alternate approach that used inverse weighting for cohorts based on variance and equal weighting for regions produced a slightly lower summary measure (150 d). When examined at the facility level, the best-performing definition varied from 58 to 383 d (mean = 150 d), but when a standard definition of 180 d was applied to each facility, only slight increases in misclassification (mean = 1.2%, 95% CI: 1.0%–1.5%) were observed. Using this definition, the proportion of patients classified as LTFU by facility ranged from 3.1% to 45.1% (mean = 19.9%, 95% CI: 19.1%–21.7%). Conclusions: Based on this evaluation, we recommend the adoption of $180 d since the last clinic visit as a standard LTFU definition. Such standardization is an important step to understanding the reasons that underlie patient attrition and establishing more reliable and comparable program evaluation worldwide.