Risk Factors and Outcomes Associated With Hypertensive Disorders of Pregnancy in Maternal Congenital Heart Disease
Bibliographic record
Abstract
Background: Among women with congenital heart disease (CHD), risk factors for hypertensive disorders of pregnancy (HDP) and the association of HDP with adverse outcomes are unknown. Objectives: The purpose of this study was to identify risk factors for HDP among women with and without CHD and to assess the association of HDP with adverse events. Methods: This retrospective cohort study included the first live birth for each woman who was pregnant in Alberta, Canada, between January 1, 2005, and December 31, 2018. The prevalence of HDP among women with and without CHD was compared. Multivariable models were used to determine the independent associations between maternal characteristics and HDP and to assess the strength of associations between HDP and CHD with adverse events. Results: < 0.0001). Chronic hypertension and diabetes mellitus were strongly associated with HDP among women with CHD (adjusted odds ratio [aOR]: 4.56; 95% confidence interval [CI]: 2.95-7.03; and aOR: 3.33; 95% CI: 1.48-7.49, respectively). Coarctation of the aorta was the only CHD lesion independently associated with increased risk for HDP (aOR: 1.76; 95% CI: 1.02-3.02). HDP, as opposed to CHD, was more strongly associated with having a complicated delivery admission, preterm delivery, and small for gestational age infant. Conclusions: HDP were more common among women with CHD. The strongest risk factors for HDP among women with CHD were acquired. The presence of HDP, rather than CHD, was more strongly associated with certain adverse outcomes.
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 | 0.000 | 0.002 |
| 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 | 0.001 |
| 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".