Efficacy And Safety of Three Doses of Tipranavir Boosted with Ritonavir in Treatment-Experienced HIV Type 1-Infected Patients
Bibliographic record
Abstract
The efficacy, safety, and pharmacokinetics of three doses of tipranavir/ritonavir (TPV/r) in highly treatment-experienced human immunodeficiency virus (HIV)-1-infected patients with protease inhibitor (PI)-resistant isolates were evaluated. A 24-week multicenter, double-blind, randomized, dose-finding trial was conducted. All patients were three-drug class experienced and had taken at least two PI-based regimens. All had at least one primary PI mutation and had plasma HIV-RNA > 1000 copies/ml. Patients remained on their background non-PI antiretroviral medications for the first 14 days. After this 14-day period of functional TPV/r monotherapy, the background antiretroviral medications were optimized based on treatment history and the screening genotype. A total of 216 patients were randomized. All groups [TPV/r 500 mg/100 mg (n = 73), 500 mg/200 mg (n = 72), and 750 mg/200 mg (n = 71) twice daily] achieved an approximate 1 log10 reduction in the median HIV-RNA at week 2. A significant reduction was sustained through 24 weeks in the TPV/r 500 mg/200 mg and 750 mg/200 mg groups. The 500 mg/200 mg dose achieved optimal median TPV trough concentrations and lower interpatient variability. The most frequently reported adverse events (AEs) were diarrhea, nausea, vomiting, fatigue, and headache. The TPV/r 750 mg/200 mg group had the highest rate of grade 3 or 4 laboratory abnormalities and study discontinuations due to AEs. All doses of TPV/r tested in this study were associated with HIV-1 viral load reductions through 24 weeks. The 500 mg/200 mg dose achieved the best efficacy, safety, and pharmacokinetic profile in this highly treatment-experienced population and was selected for the pivotal phase 3 studies.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".