Challenges to achieving and maintaining viral suppression among children living with HIV
Bibliographic record
Abstract
OBJECTIVES: The objective of this study was to determine the time to, and durability of, viral suppression, among Canadian children living with HIV after initiation of combination antiretroviral therapy (cART). DESIGN: Prospective, multicenter Canadian cohort study (Early Pediatric Initiation Canada Child Cure Cohort), using both prospective and retrospectively collected data. METHODS: Kaplan-Meir survival estimates with Cox regression were used to determine the time to and risk factors for viral suppression, defined as two consecutive undetectable viral loads (<50 copies/ml) at least 30 days apart after initiation of cART. RESULTS: A total of 228 children were enrolled between December 2014 and December 2018. The time to viral suppression was significantly shorter among children initiating cART after 5 ≤ 5 vs. years or less of age [adjusted hazard ratio (aHR) 1.57, 95% confidence interval (CI) 1.13-2.20], among those born after 2010 vs. prior (aHR 1.71, 95% CI 1.04-2.79), and among those without child protection services involvement (aHR 1.44, 95% CI 1.03-2.01). Overall, 27% of children had a viral rebound within 3 years of achieving viral suppression; the risk of viral rebound was significantly lower among children initiating cART after 5 vs. 5 years or less of age [adjusted odds ratio (aOR): 0.32, 95% CI 0.13-0.81], those whose families had not received social assistance (aOR 0.16, 95% CI 0.06-0.46), and females vs. males (aOR 0.51, 95% CI 0.26-0.99). CONCLUSION: Only 73% of the children in the Early Pediatric Initiation Canada Child Cure Cohort had maintained viral suppression 3 years after it was first achieved. Age at cART initiation, and socioeconomic factors were predictors of both time to viral suppression and risk of viral rebound in this cohort.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".