Cardiac Risks and Management of Complications in Pregnant Women With Congenital Heart Disease
Bibliographic record
Abstract
There are a growing number of women with congenital heart disease reaching adulthood and contemplating and/or undergoing pregnancy. However, pregnancy imposes hemodynamic stress on the heart and this can result in maternal, fetal and neonatal complications. Most women with congenital heart disease do well during pregnancy, but some women with high-risk cardiac lesions will not tolerate the hemodynamic changes of pregnancy. Physicians must be aware of the potential risks for the mother both during and after pregnancy, the risks to the fetus and neonate, and the risks and benefits of medications and procedures used during pregnancy. For women with complex cardiac conditions, management during pregnancy benefits from multidisciplinary care involving cardiologists with expertise in pregnancy, obstetricians with expertise in maternal fetal medicine, neonatologists and obstetric anesthetists, among others. This review will focus on the cardiac risks faced by women with congenital heart disease; particularly those at high risk, and on management strategies to mitigate risk and address cardiac complications.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".