Outcomes of subsequent pregnancy in women with peripartum cardiomyopathy: a systematic review and meta-analysis
Bibliographic record
Abstract
INTRODUCTION: The primary concern for women who have experienced peripartum cardiomyopathy (PPCM) is the safety of a subsequent pregnancy (SSP). To maximie decision-making, facilitate effective patient counselling, and ultimately improve maternal and fetal outcomes as a whole, it is critical to comprehend the outcomes of SSP in women who have previously experienced PPCM. This study aimed to evaluate the outcomes of SSP in women with PPCM. METHODS: Three databases (PubMed, Scopus, and ScienceDirect) were used to identify relevant studies prior to 17 October 2023. A total of 662 studies were reviewed. Following the abstract and full-text screenings, 18 observational studies were included, out of which 2 were deemed suitable for inclusion in this meta-analysis. The quality assessment was conducted using the Newcastle-Ottawa Scale. RESULTS: This study has a total of 487 SSPs. Although recovered left ventricular (LV) function before entering SSP has the potential to be a beneficial prognostic factor, recovered LV function still has a substantial risk of relapse. The mortality rate of PPCM in an SSP ranged from 0% to 55.5%. Persistent LV dysfunction was significantly associated with an increased mortality rate (OR 13.17; 95% CI 1.54 to 112.28; p=0.02) and lower LV ejection fraction (MD -12.88; 95% CI -21.67 to -4.09; p=0.004). Diastolic and right ventricular functions remained unchanged before SSP and at follow-up. The majority of the SSP was observed alongside hypertension, while pre-eclampsia emerged as the predominant hypertensive complication in most studies. CONCLUSION: SSP increases the risk of relapse and mortality in women with a previous history of PPCM. Persistent LV dysfunction prior to the SSP has a higher mortality risk compared with recovered LV function. SSP was also associated with the worsening of LV echocardiography parameters.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.028 | 0.004 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".