Pregnancy in Autoimmune Hepatitis: Outcome and Risk Factors
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Autoimmune hepatitis (AIH) may influence pregnancy outcome and pregnancy may affect AIH. We aimed at analyzing the disease course in pregnant AIH patients and at identifying disease-related risk factors for adverse pregnancy outcome. PATIENTS AND METHODS: AIH patients with at least one pregnancy were identified at four liver units. The patients' records and the data obtained by detailed questionnaires were analyzed retrospectively. Forty-two pregnancies of 22 AIH patients were included. RESULTS: The rate of adverse pregnancy outcome was 26%; a medical explanation could be elucidated in only 4 of 11 pregnancies with adverse outcome. Of note, the 7 unexplained adverse pregnancy outcomes were highly associated with the presence of antibodies to SLA/LP (odds ratio 51; p < 0.003) and Ro/SSA (odds ratio 27; p < 0.02). Of 35 live births, 30 children developed normally over a mean observation period of nearly 5 yr. Eleven of these had been exposed to azathioprine in utero. The rate of serious maternal complications was 9% and a high rate (52%) of postpartum flares was noted. CONCLUSIONS: The presence of autoantibodies may be a risk factor for adverse pregnancy outcome in AIH patients. Close monitoring of both mother and fetus seems advisable due to a significant rate of maternal and fetal complications.
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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 it