Pregnancy Is Not Associated with an Increased Risk of Decompensation, Transplant, or Death in Compensated Cirrhosis
Bibliographic record
Abstract
Background and Aims. Childbirth in women with cirrhosis is increasing and associated with a higher risk of perinatal outcomes compared to the general population. Whether pregnancy influences the risk of liver-related events compared to nonpregnant women with cirrhosis is unclear. This study evaluates the association between pregnancy and liver-related outcomes in women with compensated cirrhosis. Approach and Results. Population-based retrospective matched cohort study in Ontario, Canada, using routinely collected healthcare data. Pregnant women with compensated cirrhosis and without prior history of decompensation between 2000 and 2016 were identified and matched to nonpregnant women with compensated cirrhosis on age, etiology of cirrhosis, and socioeconomic status in a 1 : 2 ratio. The association between pregnancy and the composite outcome of nonmalignant decompensation, liver transplant (LT), and death up to two years after cohort entry was estimated using the multivariate Cox proportional hazard regression adjusting for potential confounders. Overall, 5,403 women with compensated cirrhosis were included (1,801 pregnant; 3,602 nonpregnant; median age 31 years (IQR 27-34); 60% nonalcoholic fatty liver disease, 34% viral hepatitis). After two years of follow-up, only 19 (1.1%) pregnant women had a liver-related event compared to 319 (8.9%) nonpregnant women. Pregnant women with compensated cirrhosis had a lower hazard of a liver-related event compared to nonpregnant women (aHR 0.14, 95% CI 0.09-0.22, <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" id="M1"> <a:mi>P</a:mi> <a:mo><</a:mo> <a:mn>.001</a:mn> </a:math> ). Conclusions. Pregnancy in women with compensated cirrhosis is not associated with increased liver-related events compared to nonpregnant women. These results can facilitate counselling women with cirrhosis of child-bearing age and suggests that pregnancy may not accelerate liver disease progression.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".