Type and timing of antiretroviral therapy during pregnancy: Impact on risk of preterm delivery and small‐for‐gestational age births in Canada, a retrospective cohort study
Bibliographic record
Abstract
OBJECTIVE: To evaluate the impact of type and timing of antiretroviral therapy (ART) on the risk of preterm delivery (PTD) and small-for-gestational age (SGA) birth among pregnant women and people living with HIV in Canada. METHODS: Data for this retrospective cohort study were analyzed from the Canadian Perinatal HIV Surveillance Program from 1990 to 2020. The association between ART and risk of PTD (<37 weeks) and SGA birth (<10th percentile) was explored using mixed effects logistic regression and time-dependent Cox proportional hazards models. RESULTS: Overall, there were 14.9% (654 of 4379) PTD and 18.5% (732 of 3947) SGA cases. A higher risk of PTD was observed with nonnucleoside reverse transcriptase inhibitor-(adjusted hazard ratio [aHR], 1.73; P = 0.019) and boosted protease inhibitor- (aHR, 186; P = 0.007) based regimens compared with integrase strand transfer inhibitor (INSTI)-based regimens. ART initiation prior to conception was associated with a lower risk of SGA birth compared with ART initiation after conception at 1 to 14 weeks (adjusted odds ratio [aOR], 0.69; P = 0.024) and > 14 weeks (aOR, 0.70; P = 0.005). CONCLUSION: INSTI-based ART regimens were associated with lower risk of PTD compared with other regimens, and ART initiation before conception was associated with a lower risk of SGA birth. These findings, with overall safety data, should be considered when providing pregnancy counseling to people living with HIV.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".