Pregnancy outcomes in women with significant valve disease: a systematic review and meta-analysis
Bibliographic record
Abstract
OBJECTIVE: To perform a systematic review and meta-analysis of maternal/fetal outcomes in pregnant women with moderate/severe native valvular heart disease (VHD) from medium/higher Human Development Index (HDI) countries. METHODS: OvidSP platform databases were searched (1985-January 2019) to identify studies reporting pregnancy outcomes in women with moderate/severe VHD. The primary maternal outcome was maternal mortality. The primary fetal/neonatal outcome was stillbirth and neonatal death. Pooled incidences and 95% confidence intervals (CI) of maternal/fetal outcomes could only be calculated from studies involving mitral stenosis (MS) or aortic stenosis (AS). RESULTS: Twelve studies on 646 pregnancies were included. Pregnant women with severe MS had mortality rates of 3% (95% CI, 0% to 6%), pulmonary oedema 37% (23%-51%) and new/recurrent arrhythmias 16% (1%-25%). Their stillbirth, neonatal death and preterm birth rates were 4% (1%-7%), 2% (0%-4%), and 18% (7%-29%), respectively. Women with moderate MS had mortality rates of 1%(0%-2%), pulmonary oedema 18% (2%-33%), new/recurrent arrhythmias 5% (1%-9%), stillbirth 2% (1%-4%) and preterm birth 10%(2%-17%).Pregnant women with severe AS had a risk of mortality of 2% (0%-5%), pulmonary oedema 9% (2%-15%), and new/recurrent arrhythmias 4% (0%-7%). Their stillbirth, neonatal death and preterm birth rates were 2% (0%-5%), 3% (0%-6%) and 14%(4%-24%), respectively. No maternal/neonatal deaths were reported in moderate AS, however women experienced pulmonary oedema (8%; 0%-20%), new/recurrent arrhythmias (2%; 0%-5%), and preterm birth (13%; 6%-20%). CONCLUSIONS: Women with moderate/severe MS and AS are at risk for adverse maternal and fetal/neonatal outcomes. They should receive preconception counseling and pregnancy care by teams with pregnancy and heart disease experience.
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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 | 0.011 | 0.030 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.019 | 0.035 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".