Anti-migraine medications safety during pregnancy in the US
Bibliographic record
Abstract
Background: Specific antimigraine medications (dihydroergotamine (DHE), triptans) have been associated with adverse pregnancy outcomes in individual studies but lack of consensus remains. Objectives: Quantify the risk of prematurity, low birth weight (LBW), major congenital malformations (MCM), and spontaneous abortions (SA) associated with gestational use of DHE or triptans in a privately insured cohort of pregnant women in the US. Methods: We conducted a cohort study within the US Merative MarketScan Research Database (2011-2021), composed of a nationally representative sample of patients with employer-provided health insurance. Four independent analyses were conducted to assess the risk of 1) prematurity (<37 weeks of gestation), 2) LBW (birth weight <2,500 g), 3) MCM, and 4) clinically detected SA. Exposure was defined dichotomously as use of DHE or triptan during pregnancy. Generalized estimation equations (GEE) were built to quantify the associations taking into account potential confounders including maternal migraine. Results: Overall, 767,994 pregnant women met eligibility criteria and were included in the analyses on prematurity, LBW, and MCM; 11,121 cases of SA were identified and analyzed. One hundred and eighty-nine (189 (0.02%)) were exposed to DHE (all in the first trimester), and 4,309 (0.56%) to triptans. Adjusting for potential confounders including maternal migraine, DHE was not associated with a statistically significant risk of prematurity (adjusted RR (aRR) 1.17, 95%CI 0.14, 9.74), LBW (aRR 7.76, 95%CI 0.99, 60.83), MCM (aRR 2.27, 95%CI 0.97, 5.29), or SA (aOR 3.19, 95%CI 0.98, 10.38); DHE was associated with an increased risk of septal defects. All estimates showed increased risk but were unstable. Similarly, triptan use was not associated with any of the studied outcomes. Discussions and Conclusions: After considering maternal migraine and other potential confounders, DHE (first trimester) and triptan exposure during pregnancy were not statistically significantly associated with an increased risk for prematurity, LBW, MCM, or SA. Findings on septal defects could be due to chance, and need replication.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".