Maternal Cardiovascular Disease 3 Decades After Preterm Birth
Bibliographic record
Abstract
Women who deliver preterm are at risk of cardiovascular disease, but the reason for the association is unclear. We determined whether vascular disorders during pregnancy explain the association between preterm delivery and future maternal cardiovascular disease. We analyzed a longitudinal cohort of 1 199 364 pregnant women with 19 186 983 person-years of follow-up in Quebec between 1989 and 2017. We calculated incidence rates of myocardial infarction, ischemic stroke, and other cardiovascular hospitalizations. We used multivariable Cox regression to estimate adjusted hazard ratios and 95% CIs for the association of very and moderate preterm delivery with maternal cardiovascular hospitalization. We determined the proportion of the association that was due to preeclampsia, acute cardiac events at delivery, antepartum/postpartum hemorrhage, and heart defects. The incidence of maternal cardiovascular hospitalization was greater for very (43.7 per 10 000 person-years) and moderate (39.4 per 10 000) preterm delivery compared with term delivery (26.2 per 10 000). Very preterm delivery was associated with 1.67× the risk of cardiovascular hospitalization (95% CI, 1.56-1.79), and moderate preterm delivery was associated with 1.51× the risk (95% CI, 1.46-1.56). Vascular disorders during pregnancy explained 26.2% of the association of very preterm delivery and 24.0% of the association of moderate preterm delivery, with cardiovascular hospitalization. Preeclampsia was the largest contributor to these proportions. We conclude that vascular disorders during pregnancy, especially preeclampsia, explain up to a quarter of the association between preterm delivery and future maternal cardiovascular hospitalization.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".