Virologic and Immunologic Response to a Boosted Double-Protease Inhibitor-Based Therapy in Highly Pretreated HIV-1-Infected Patients
Bibliographic record
Abstract
PURPOSE: To assess the virologic and immunologic response to a boosted double-protease inhibitor (PI) regimen of highly pretreated patients infected with HIV-1 and to examine the role of PI resistance and concentration of serum saquinavir. METHOD: In an open-label prospective study, lopinavir/ritonavir, saquinavir-sgc, lamivudine, and other nucleoside analogues were offered to highly pretreated patients who had advanced HIV-1 infection and who had failed at least 2 previous highly active antiretroviral therapy regimens including at least 1 nonnucleoside reverse transcriptase inhibitor. The relationship between baseline drug resistance and steady-state saquinavir serum levels and early (week 4) and sustained (week 48) virologic response was documented. RESULTS: 35 advanced HIV-1 patients were enrolled. The boosted double-PI regimen was well tolerated. Twenty-two (63%) of the 35 patients had a > 0.8 log(10) decrease in HIV viral load at week 4. After 48 weeks of follow-up, the 22 patients who remained on the study therapy had an average decrease in viral load of 1 log(10) and had a median increase in CD4 cells of 60 cell/microL. Multiple logistic regression analysis indicated that genotypic resistance to both PIs and the week-3 trough concentrations of saquinavir were associated with virologic outcome at week 4. The presence of > or = 6 lopinavir mutations [odds ratio (OR) 0.03; 95% CI 0.01 to 0.79] and the 48V mutation (OR 0.01; 95%CI <0.01 to 0.88) was independently associated with lower odds of achieving an early response, whereas a higher saquinavir concentration at week 3 (OR 8.36; 95% CI 1.28 to 54.70) was associated with greater odds of an early response. CONCLUSION: These findings suggest that baseline PI resistance and saquinavir concentration were associated with virologic response and should be considered when planning salvage therapy.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".