Autoimmune hepatitis among fertile women: Strategies during pregnancy and breastfeeding?
Bibliographic record
Abstract
OBJECTIVE: In published studies there is a lack of data about the risks, management and how women with autoimmune hepatitis (AIH) decide on and are advised about pregnancy. The aim of this study was to investigate how women with AIH consider pregnancies, are advised and pharmacologically treated, as well as the outcome. MATERIAL AND METHODS: A questionnaire was mailed to 128 women with AIH diagnosed during their fertile period and data from the Swedish National Birth Register was also used for matched controls. RESULTS: There was an 83% response rate to the questionnaires. Sixty-three pregnancies were reported by 35 women. 48% did not consult their doctors before getting pregnant. More than half of the women reduced or stopped the immune suppression during pregnancy or breastfeeding. Some women were advised to abstain from pregnancy or even to have an abortion. Caesarean sections were performed more frequently in the AIH group (16% compared with 6.5% in the control group p<0.01). There were no significant differences in the number of stillborn infants or infants with malformations. However, 30% of the patients experienced flare-up after delivery. CONCLUSIONS: In general, the outcome of pregnancy in women with AIH seems to be good. Current pharmacological treatment appears to be safe, including azathioprine during pregnancy and lactation. After delivery an active preparedness to increase pharmacotherapy should be considered.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".