Removing inactive NRTIs in a salvage regimen is safe, maintains virological suppression and reduces treatment costs: results from the VERITAS study (TMC114HIV4054)
Bibliographic record
Abstract
BACKGROUND: Despite the benefit of maintaining inactive Nucleotide/side reverse transcriptase inhibitors (NRTIs) in salvage regimens, they are associated with increased toxicity and treatment costs. Current evidence suggests that NRTI-sparing regimens in patients failing ART are non-inferior to NRTI-including regimens. This study aimed to evaluate the impact of removing at least one inactive NRTI on virologic, safety, and financial outcomes. METHODS: Drug-resistant, virologically suppressed patients with CD4 >250 cells/ml on a stable regimen of four or more antiretrovirals (ARVs) were enrolled in a 48-week prospective, open-label pilot trial. One inactive NRTI was removed at baseline. Patients taking over five ARVs had a second inactive NRTI removed at 24 weeks. Viral load, CD4 count, and adverse events were assessed at baseline, 24, and 48 weeks. RESULTS: Thirty-one male patients participated. Twenty-nine (94%) patients had lamivudine (3TC) or emtricitabine (FTC) removed and four patients had an additional NRTI removed. One patient was excluded at week 26 for discontinuing an active NRTI. All patients maintained undetectable viral loads at weeks 24 (100%) and 48 [PP = 100%; Intent-to-treat (ITT) = 97%]. At 48 weeks, patients had a median gain of 20 CD4 (IQR: - 50, +133; mean +39) compared to baseline. Three patients exhibited Grade III bilirubin elevation (two Grade II and one Grade III at baseline), which returned to baseline levels. No serious adverse events were observed. Removal of one or two ARVs equated to a mean annual savings of $3319 CDN (11%) and $8630 CDN (24%), respectively. CONCLUSION: Removing inactive NRTIs in patients with a controlled viral load appears to be safe, maintains virological suppression, and reduces treatment costs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".