Long-term Risk of a Seizure Disorder After Eclampsia
Bibliographic record
Abstract
OBJECTIVE: To evaluate the incidence rate and relative risk of a seizure disorder after eclampsia. METHODS: We evaluated 1,565,733 births in a retrospective data linkage cohort study in Ontario, Canada, from April 1, 2002, to March 31, 2014. We included females aged 15-50 years and excluded patients with epilepsy, conditions predisposing to seizure, and those who died within 30 days of the delivery discharge date. The exposure was defined as a hypertensive disorder of pregnancy, namely 1) eclampsia, 2) preeclampsia, or 3) gestational hypertension. The referent was an unaffected pregnancy. The primary outcome was the risk of seizure disorder starting 31 days after a hospital birth discharge. Risk was expressed as an incidence rate and a hazard ratio (HR) with 95% CI. The predefined study hypothesis was that women with eclampsia would have an increased risk of future seizure disorder. RESULTS: There were 1,615 (0.10%) pregnancies exclusively affected by eclampsia, 17,264 (1.1%) with preeclampsia, 60,863 (3.9%) with gestational hypertension, and 1,485,991 (94.9%) unaffected. A future seizure disorder was significantly more likely after a pregnancy with eclampsia (4.58/10,000 person-years) than a pregnancy without a hypertensive disorder of pregnancy (0.72/10,000 person-years; crude HR 6.09, 95% CI 2.73-13.60). The adjusted HR was minimally attenuated from 6.09 to 5.42 (95% CI 2.42-12.12) after multivariable adjustment for confounders at the index birth as well as adjusting for traumatic brain injury, stroke, cerebral tumor, aneurysm or hemorrhage, and multiple sclerosis. The risk of seizure disorder was doubled in pregnancies affected by preeclampsia (adjusted HR 1.96, 95% CI 1.21-3.17), but not by gestational hypertension (adjusted HR 1.01, 95% CI 0.71-1.43). CONCLUSION: Women with eclampsia should be reassured that, although the relative risk of a seizure disorder is higher than unaffected women, the absolute risk is extremely low (approximately one seizure/2,200 person-years).
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".