Increased Resilience to the Development of Drug Resistance with Modern Boosted Protease Inhibitor–Based Highly Active Antiretroviral Therapy
Bibliographic record
Abstract
BACKGROUND: We explore the temporal and regimen-specific changes of HIV-1 drug resistance in a large cohort of antiretroviral-naive individuals starting highly active antiretroviral therapy (HAART). METHODS: Individuals (n = 2350) initiating first HAART between August 1996 and November 2004 were followed until November 2005 (median follow-up, 4.8 years; n = 6066 tests). A logistic regression model was used to predict the probability of the emergence of resistance, adjusting for baseline predictors. RESULTS: The cohort included 991 individuals initiating nonboosted protease inhibitor (PI)-based regimens, 475 initiating ritonavir-boosted PI-based regimens, and 884 initiating nonnucleoside reverse-transcriptase inhibitor (NNRTI)-based regimens. There was no difference in the development of resistance between nonboosted PI-based regimens (reference group) and NNRTI-based HAART regimens (odds ratio [OR], 1.09 [95% confidence interval {CI}, 0.84-1.42]), but there were greatly reduced odds for boosted PI-based regimens (OR, 0.42 [95% CI, 0.28-0.62]). Individuals initiating HAART more recently (2002-2004) were at a reduced risk of resistance, compared with those who started HAART between 1996 and 1998 (OR, 0.43 [95% CI, 0.30-0.61]). CONCLUSIONS: Individuals initiating first HAART with a boosted PI-based regimen had a 2.4-fold lower OR for developing HIV drug resistance than did those starting nonboosted PI-based or NNRTI-based HAART, at all adherence levels. The data demonstrate marked temporal improvement in the likelihood of the development of drug resistance for those initiating more recent HAART regimens.
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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 | 0.000 |
| 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) | 0.000 | 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".