Viral Suppression, Viral Failure, and Safety Outcomes in Children and Adolescents With HIV on Dolutegravir in Europe and Thailand
Bibliographic record
Abstract
BACKGROUND: Dolutegravir (DTG) is a preferred anchor antiretroviral therapy (ART) for children and adolescents with HIV (CAWH). METHODS: We assessed the effectiveness and safety of DTG in CAWH aged 0-18 years at DTG start in routine care in Europe and Thailand, evaluating viral suppression (viral load [VL] <50 copies/mL), cumulative incidence and associated factors of viral failure (VF; confirmed VL ≥400 copies/mL) and safety outcomes. RESULTS: Of 1230 CAWH on DTG, 49% were female. At DTG start, median (IQR) age was 14 (11-16) years, 10% were ART-naive, 49% ART-experienced/suppressed (VL <200 copies/mL), 13% ART-experienced/viremic (VL ≥200 copies/mL), and 28% ART-experienced/unknown VL. Median duration on DTG was 93 (49-163) weeks. Virall suppression was 88%-91% throughout follow-up. Cumulative incidence (95% CI) of VF at weeks 96 and 144 was 4.3% (3.1%-6.1%) and 8.3% (6.2%-11.1%). Increased risk of VF was associated with female sex, ART-experienced/viremic, advanced/severe immunosuppression, previous treatment failure, and region (P < .05, adjusting for age, sex and ART/VL status). The risk of VF was lower on DTG than CAWH on protease-inhibitor-based regimens (P < .001). Among 1146 with clinical data, 26 (2%) experienced 52 DTG-related adverse events, including 5 serious adverse events. Of 849 with laboratory data, 44 (5%) had 54 grade ≥3 events (<1 per 100 person-years). DTG discontinuation by weeks 96 and 144 was 5.0% (3.8%-6.7%) and 9.5% (7.5%-12.0%). CONCLUSIONS: DTG was well tolerated, with ∼90% virally suppressed <50 copies/mL. VF was low overall but was significantly higher in children/adolescents ART-experienced and viraemic at DTG start, requiring close monitoring.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".