Recurrent pre-eclampsia and subsequent cardiovascular risk
Bibliographic record
Abstract
OBJECTIVE: To determine the association between recurrent pre-eclampsia and long-term cardiovascular hospitalisation. METHODS: This study identified cardiovascular hospitalisations up to 25 years after pregnancy for all women who delivered between 1989 and 2013 in Québec, Canada. Exposures included recurrent and non-recurrent pre-eclampsia in women with two deliveries or more (N=606 820), and pre-eclampsia in women with only one delivery (N=501 761). Incidence, timing and risk of cardiovascular complications were calculated using accelerated failure time models adjusted for age, pre-existing disease, socioeconomic deprivation and period. Outcomes included a range of cardiovascular hospitalisations and procedures. RESULTS: Women with recurrent pre-eclampsia had higher incidence of cardiovascular hospitalisation (281.4 per 1000) than women with non-recurrent (167.7 per 1000) or no pre-eclampsia (72.6 per 1000). Mean time to cardiovascular hospitalisation was 10.5 years for recurrent, 11.6 years for non-recurrent and 12.7 years for no pre-eclampsia, a difference of 17.3% for recurrent and 8.7% for non-recurrent relative to no pre-eclampsia. Compared with no pre-eclampsia, recurrent pre-eclampsia was associated with 2 times the risk of heart disease (95% CI 1.69 to 2.29) and 3 times the risk of cerebrovascular disease (95% CI 2.25 to 4.05). Pre-eclampsia in women with one delivery was associated with 3 times greater risk of cardiovascular hospitalisation compared with no pre-eclampsia in women with two deliveries or more (95% CI 2.96 to 3.25). CONCLUSIONS: Recurrent pre-eclampsia is associated with higher risk of future cardiovascular hospitalisation compared with no pre-eclampsia, and significantly shorter time to first cardiovascular event. Cardiovascular screening should be performed earlier for women with recurrent pre-eclampsia.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".