Antihypertensive medication use during pregnancy and the risk of major congenital malformations or small‐for‐gestational‐age newborns
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: In spite of the widespread use of antihypertensives during pregnancy, data on their risks and benefits for the newborn are limited. We investigated the risk of major congenital malformations or small-for-gestational-age newborns (SGA) in relation to gestational use of antihypertensives. METHODS: Within the Quebec Pregnancy Registry, we conducted two case-control studies. First, cases were defined as major congenital malformations diagnosed during the first year of life and controls were selected from the same cohort; index date was date of delivery. Gestational exposure was defined as filling a prescription for an antihypertensive during the 1st trimester of pregnancy. Next, cases (SGA) were defined as newborns with a birth weight <10th percentile for that gestational age and gender; controls were the newborns with a birth weight > or =10 percentile. Gestational exposure was defined as filling a prescription for an antihypertensive during the 2nd or 3rd trimester. Multivariate logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (95% CI). RESULTS: We found that overall antihypertensives use during the 2nd or 3rd trimesters of pregnancy was associated with a higher risk of SGA (OR 1.53, 95% CI 1.17-1.99). Moreover, selective beta-blocker (OR 6.00, 95% CI 1.06-33.87), alpha beta blocker (OR 2.26, 95% CI 1.04-4.88), or centrally-acting adrenergic agents use (OR 1.70, 95% CI 1.00-2.89) was associated with a higher risk of SGA compared to non-use. CONCLUSION: Gestational use of antihypertensives, especially beta-blocker, alpha beta blocker, or centrally-acting adrenergic agents, may increase the risk of SGA.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| 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 it