Related Experiment Video
Updated: Oct 24, 2025

Induction of Drug-Induced, Autoimmune Hepatitis in BALB/c Mice for the Study of Its Pathogenic Mechanisms
Published on: May 29, 2020
Systematic review with meta-analysis: autoimmune hepatitis in pregnancy
Hydar El Jamaly1,2, Guy D Eslick3, Martin Weltman1,2
1Department of Gastroenterology and Hepatology, Nepean Hospital, Penrith, Australia.
Background:
Maternal and fetal outcomes in pregnant patients with autoimmune hepatitis (AIH) has been largely unexplored.
Aim:
This meta-analysis aims to determine the level of evidence associated with both maternal and fetal outcomes in patients with AIH.
Methods:
We conducted a comprehensive literature search. The studies included AIH patients who had at least one pregnancy with a previously known or index presentation diagnosis of AIH. We used a random-effects model using odds ratios (OR) with 95% confidence intervals (CI).
Results:
Fourteen studies with 1452 AIH patients and with a total of 1556 gestations were included. Analysis revealed statistically significant increased likelihood of diabetes mellitus in the AIH group (OR: 5.73, 95% CI: 2.73-12.02; p < .001, n = 2) compared to controls. Fetal outcomes that indicated a statistically significant association with AIH included premature birth (OR: 2.20, 95% CI:1.66-2.91; p < .001, n = 3), small for gestational age (SGA) births (OR: 2.48, 95% CI:1.37-4.51; p = .003, n = 2) and low birth weight (LBW) (OR: 3.04, 95% CI:1.85-5.01; p < .001, n = 1). AIH pregnancies were significantly less likely to have a full-term birth (OR: 0.32, 95% CI:0.21-0.49; p < .001, n = 2).
Conclusions:
This meta-analysis provides the first pooled evidence that autoimmune hepatitis is associated with a substantial increase in maternal Pre-pregnancy and gestational diabetes mellitus, and that AIH females are more likely to have premature births, small for gestational age (SGA) births, and low birth weight (LBW) babies and a substantial decrease in full term birth compared to normal controls. This data is important for clinicians managing these patients before, during and after pregnancy.

