Pulmonary arterial hypertension in pregnancy—a systematic review of outcomes in the modern era
Bibliographic record
Abstract
Pregnancy is hazardous with pulmonary arterial hypertension, but maternal mortality may have fallen in recent years. We sought to systematically evaluate pulmonary arterial hypertension and pregnancy‐related outcomes in the last decade. We searched for articles describing outcomes in pregnancy cohorts published between 2008 and 2018. A total of 3658 titles were screened and 13 studies included for analysis. Pooled incidences and percentages of maternal and perinatal outcomes were calculated. Results showed that out of 272 pregnancies, 214 pregnancies advanced beyond 20 gestational weeks. The mean maternal age was 28 ± 2 years, mean pulmonary artery systolic pressure on echocardiogram was 76 ± 19 mmHg. Etiologies include idiopathic pulmonary arterial hypertension (22%), congenital heart disease (64%), and others (15%). Majority (74%) had good functional class I/II. Only 48% of women received pulmonary arterial hypertension‐specific therapy. Premature deliveries occur in 58% of pregnancies at mean of 34 ± 1 weeks, most (76%) had Cesarean section. Maternal mortality rate was 12% overall ( n = 26); even higher for idiopathic pulmonary arterial hypertension etiology alone (20%). Reported causes of death included right heart failure, cardiac arrest, pulmonary arterial hypertension crises, pre‐eclampsia, and sepsis; 61% of maternal deaths occur at 0–4 days postpartum. Stillbirth rate was 3% and neonatal mortality rate was 1%. In conclusion, pulmonary arterial hypertension in pregnancy continues to be perilous with high maternal mortality rate. Continued prospective studies are needed.
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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 | 0.005 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.013 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".