No increased risk of Kaposi sarcoma relapse in patients with controlled HIV‐1 infection after switching protease inhibitor‐based antiretroviral therapy
Bibliographic record
Abstract
OBJECTIVES: Our aim was to assess if switching from a protease inhibitors (PI)-based regimen to a PI-free one is associated with an increased risk of Kaposi Sarcoma (KS) relapse among patients living with HIV (PLHIV) with history of KS and controlled HIV replication. METHODS: In a retrospective analysis of the prospectively collected Dat'AIDS database we selected patients who both had a past KS history and a HIV-1 viral load below 200 copies/mL while being PI-treated. We searched for KS relapses while persistent virological success was maintained for at least 6 months, whether patients kept taking the PI, or switched to PI-free regimen. RESULTS: Among the 216 patients with past KS event and a history of HIV-1 infection efficiently treated by a PI-based regimen, 148 patients (68.5%) later switched to a PI-sparing regimen. Their baseline characteristics were not different from non-switching patients. We described 7 cases of relapse (3.2% of the 216 patients). Five cases of relapse occurred in switching patients (3.4%). The remaining two relapses occurred in PI-treated patients (2.9%). At KS relapse, CD4 cell count was 459 cells/μL (range 225-560) for switching patients, compared with 362 and 136 cells/μL for the other two patients. CONCLUSIONS: In this large cohort of PLHIV with a history of KS and ART-controlled HIV replication, KS relapses were described in 3.2% of the patients, and were not more frequent when a PI-containing ART regimen has been switched to a PI-free regimen. Our results do not support a specific effect of PI on KS.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".