Hepatitis E during pregnancy: Maternal and foetal case‐fatality rates and adverse outcomes—A systematic review
Bibliographic record
Abstract
Hepatitis E virus infection during pregnancy can have severe consequences for mother and child, such as vertical transmission, fulminant hepatic failure, even foetal or maternal mortality. The aim of this systematic review is to describe maternal, foetal and neonatal case-fatality rates as well as the prevalence of adverse outcomes in relation to hepatitis E virus infection during pregnancy. A systematic literature search was performed in Pubmed, Embase, Cochrane and CINAHL. Search terms included Pregnant, Women, Maternal, Infant, Foetal, Neonatal and Hepatitis E virus. Data were extracted using predefined data collection forms. All studies were quality assessed, either by the Newcastle-Ottawa Scale or by an adapted assessment scale for cross-sectional studies. We found 23 eligible studies, all observational, which were included in this systematic review with a total of 1338 cases. The median maternal, foetal and neonatal case-fatality rates were 26% (IQR 17%-41%), 33% (IQR 19%-37%) and 8% (IQR 3%-20%), respectively. Adverse outcomes such as fulminant hepatic failure, preterm labour, postpartum haemorrhage, low birth weight and vertical transmission were reported. The two studies that reported the highest prevalence of fulminant hepatic failure also reported the highest case-fatality rates. The median prevalence of fulminant hepatic failure was 45.3%. This systematic review found a high case-fatality rate among pregnant women infected with hepatitis E virus and a high rate of adverse outcomes among these women and their children. The results from this review mainly apply to hospital settings and symptomatic pregnant women from endemic countries.
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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 | 0.007 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.008 |
| Bibliometrics | 0.011 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".