Effectiveness of first-line lamivudine/dolutegravir antiretroviral therapy in persons with HIV: real-life data from the ICONA Foundation cohort
Bibliographic record
Abstract
OBJECTIVES: This analysis aimed to evaluate the rate of failure of first-line lamivudine/dolutegravir in a real-world setting and assess the effectiveness among people with HIV (PWH) at higher risk of suboptimal response. METHODS: The study included PWH from the ICONA cohort who started first-line lamivudine/dolutegravir between 2016 and 2024. The primary endpoint was time to treatment failure (TF), defined as virological failure (VF, two consecutive HIV-RNA of >50 copies/mL >6 months after treatment initiation) or discontinuation due to toxicity/lack virological control/non-adherence or death for any cause. Secondary endpoints were time to treatment discontinuation for any reason (TD) and pure VF. Main exposures of interest were baseline CD4 and HIV-RNA, age, sex at birth and nation of birth. Standard survival analysis and Cox regression models were used. RESULTS: Among 446 participants, after a median follow-up of 22 months, 4.3% (n = 19) experienced TF, the 3 year cumulative probability was 5.8% (95% CI: 2.9%-8.7%). Baseline CD4 count was associated with a 3-fold higher risk of TF, which decreased after adjustments. Higher viral loads (>100 000 copies/mL), age >50 years and foreign-born status were also associated with an increased risk of TF. No differences in TF according to sex at birth were found. By 3 years the probabilities of TD and VF were 13.4% (95% CI: 9.1%-17.6%) and 2.3% (95% CI: 0.19%-4.4%), respectively. CONCLUSIONS: In our real-world setting, the TF probability for first-line lamivudine/dolutegravir was below 6% at 3 years, lower than in randomized trials. Our data suggest that, as shown with other regimens, PWH starting lamivudine/dolutegravir with CD4 count of ≤200 cells/mm3, HIV-RNA of >100 000 copies/mL, older age or foreign-born status may be at higher risk of TF, though larger studies are needed to qualify the magnitude of the effect.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".