Received date: June 08, 2014; Accepted date: August 14, 2015; Published date: August 19, 2015
Citation: Ripamonti D, Hill A, DeMasi R, Bicer C, Moecklinghoff C (2015) Predictors of HIV RNA Suppression on Darunavir/Ritonavir Monotherapy or Triple Therapy in the MONET and PROTEA Trials. J AIDS Clin Res 6:492. doi:10.4172/2155-6113.1000492
Copyright: © 2015 Ripamonti D, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Visit for more related articles at Journal of AIDS & Clinical Research
Protease inhibitor monotherapy has been studied most intensively in clinical trials of patients with HIV RNA suppression at baseline [1-3]. These trials have typically enrolled patients with no prior virological failure, no co-infection with Hepatitis B, and nadir CD4 counts above 100 cells/μL. In these randomised trials, PI/r monotherapy has shown a higher risk of low level plasma HIV-1 RNA elevations; small numbers of patients taking protease inhibitor monotherapy have developed detectable HIV-1 RNA in the Cerebrospinal Fluid (CSF). However in these studies there has been no increased risk of treatment-emergent drug resistance and intensification with nucleoside analogues after initial rebound in HIV-1 RNA has led to re-suppression in most cases.
The purpose of this analysis was to investigate whether the main predictors of treatment failure during darunavir/ritonavir monotherapy. In previous studies of protease inhibitor (PI) monotherapy, patients with low nadir CD4 counts, HCV co-infection, poor adherence to treatment, or detectable baseline levels of HIV RNA or DNA have been the most likely to show treatment failure [4-7].
In the MONET and PROTEA trials [8,9], 529 patients with HIV RNA <50 copies/mL at screening switched to DRV/r 800/100 mg once daily, either as monotherapy (n = 264) or as triple therapy with 2NRTIs (n = 265). The two clinical trials were conducted using the same twoarm design, and used the same primary endpoint: the proportion of patients with HIV RNA suppression <50 copies/mL after 48 weeks of randomised treatment. The objective of this analysis was to identify the main predictors of treatment failure on DRV/r monotherapy at Week 48 in the combined MONETand PROTEA trials.
Patients with CD4 nadir <100 cells/μL were excluded from the MONET and PROTEA studies. At the screening visit, patients were taking either 2 NRTIs plus either NNRTI- based or non-NNRTI based treatment (typically 2NRTI/PI or 2NRTI/Integrase).
Treatment response was defined as HIV RNA<50 copies/mL at week 48 (FDA Snapshot method). Multivariate logistic regression was used to identify factors predictive of treatment failure in the two combined clinical trials by Week 48. The predictors investigated were: baseline HIV RNA (below limits of assay detection), age, gender, race, HCV co-infection (based on serology), nadir CD4 count, duration of diagnosis, duration of ARV use, treatment group, baseline CD4 count and time between diagnosis of HIV and start of ART treatment. The analysis included interaction terms between the main predictors of treatment response and the effects of treatment arm.
For the univariate model, each individual factor was correlated with HIV RNA suppression <50 copies/mL at Week 48 (as defined above). For the final multivariate model, factors significant at the 0.10 level following stepwise selection with backward elimination procedure were retained.
In the MONET and PROTEA trials, there were 224/264 patients on DRV/r monotherapy (85%) with HIV RNA <50 copies/mL at Week 48, versus 240/265 (91%) on triple therapy. These trials enrolled patients from Europe, Russia and Israel. Overall, 30% of patients had CD4 nadir levels below 200 cells/μL; 19% were female, 89% were white; 49% had used an NNRTI before randomisation.
In the multivariate analysis of the PROTEA and MONET trials, there were two predictors of HIV RNA suppression at Week 48: CD4 nadir <200 cells/μL (p = 0.02) and no prior NNRTI use (p = 0.001). There was a trend for lower response rates overall in the DRV/r monotherapy group compared to the triple therapy group in this multivariate analysis, after adjusting for the other predictors of response (p = 0.066). In the multivariate analysis of predictors of response, there were no statistically significant interactions between treatment group and either CD4 nadir or prior use of NNRTIs (p = n.s. for each comparison). Figure 1 shows the predicted response rates for DRV/r monotherapy and triple therapy by CD4 nadir and prior use of NNRTIs, based on this multivariate analysis.
The predicted efficacy of DRV/r monotherapy ranged from 69% for those with CD4 nadir <200 cells/μL and prior NNRTI treatment, to 91% for those with CD4 nadir ≥200 cells/μL and no prior NNRTI treatment. Different cut-points of CD4 nadir were evaluated, above 200 cells/μL. There was no further improvement in efficacy for patients on DRV/r monotherapy with CD4 nadir categories above 200 cells/μL.
For the subgroup of patients who had CD4 nadir levels at least 200 cells/μL and who had not taken NNRTIs before the trial, the observed percentage with HIV RNA <50 copies/mL at Week 48 was 80/88 (91%) in the DRV/r monotherapy arm and 96/99 (97%) in the triple therapy arm. For the subgroup of patients with CD4 nadir levels at least 200 cells/μL and prior NNRTI treatment, the percentage with HIV RNA <50 copies/mL at Week 48 was 75/86 (87%) in the DRV/r monotherapy arm versus 75/88 (85%) in the triple therapy arm. For those with CD4 nadir levels below 200 cells/μL and no prior NNRTIs, the percentage with HIV RNA <50 copies/mL at Week 48 was 36/42 (86%) in the DRV/r monotherapy and 34/37 (92%) for triple therapy.
By contrast, for the subgroup of patients with CD4 nadir levels below 200 cells/μL and prior NNRTI treatment, the observed percentage with HIV RNA <50 copies/mL at Week 48 was 33/48 (69%) in the DRV/r monotherapy arm versus 35/41 (85%) in the triple therapy arm.
There are several limitations to this analysis. The FDA snapshot method used in this analysis includes treatment failure as either HIV RNA elevations, or discontinuation of randomised treatment for adverse events or other reasons. This is a retrospective analysis which needs to be validated in other studies. The trial population was selected based on no prior virological failure and CD4 nadir above 100 cells/μL – these results cannot be extrapolated to other populations. The CD4 nadir may be an indirect marker of prior disease severity. Prior NNRTI use might be a marker of the acceptability of taking a protease inhibitor during the trials.
In conclusion, this analysis suggests that patients with higher nadir CD4 counts, and those who are currently stable on boosted protease inhibitor treatment are the most likely to show sustained HIV RNA suppression during boosted protease inhibitor monotherapy. However for the group of patients with lower CD4 counts and prior use of NNRTIs, there is a clear advantage to using triple therapy. The potential benefits of using DRV/r monotherapy need to be set against the potential risk of replication of HIV RNA in the CSF – there were two cases of this in the DRV/r monotherapy arm of the PROTEA trial , despite no difference between the treatment arms in neurocognitive function.
An alternative to PI monotherapy could be the combination of a boosted protease inhibitor monotherapy with 3TC. Three randomised trials of this new strategy have shown promising results, with minimal toxicity and tolerability issues [10-12]. The additional cost of using 3TC in this combination would be minimal.
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals