Pregnancies With Cirrhosis Are Rising and Associated With Adverse Maternal and Perinatal Outcomes
Bibliographic record
Abstract
INTRODUCTION: Cirrhosis incidence in pregnancies from outside the United States (US) is rising, although contemporary data including maternal and perinatal outcomes within the United States are lacking. METHODS: Using discharge data from the racially diverse US National Inpatient Sample, temporal trends of cirrhosis in pregnancies were compared with noncirrhotic chronic liver disease (CLD) or no CLD. Outcomes included preterm birth, postpartum hemorrhage, hypertensive complications (preeclampsia, eclampsia, and/or hemolysis, elevated liver enzymes, and low platelets syndrome), and maternal or fetal death. Logistic regression was adjusted for age, race, multiple gestation, insurance status, and prepregnancy metabolic comorbidities. RESULTS: Among 18,573,000 deliveries from 2012 to 2016, 895 had cirrhosis, 119,875 had noncirrhotic CLD, and 18,452,230 had no CLD. Pregnancies with cirrhosis increased from 2.5/100,000 in 2007 to 6.5/100,000 in 2016 (P = 0.01). On adjusted analysis, cirrhosis was associated with hypertensive complications (vs no CLD, OR 4.9, 95% confidence intervals [CI] 3.3-7.4; vs noncirrhotic CLD, OR 4.4, 95% CI 3.0-6.7), postpartum hemorrhage (vs no CLD, OR 2.8, 95% CI 1.6-4.8; vs noncirrhotic CLD, OR 2.0, 95% CI 1.2-3.5), and preterm birth (vs no CLD, OR 3.1, 95% CI 1.9-4.9; vs noncirrhotic CLD, OR 2.0, 95% CI 1.3-3.3, P ≤ 0.01). Cirrhosis was statistically associated with maternal mortality, although rarely occurred (≤ 1%). DISCUSSION: In this racially diverse, US population-based study, pregnancies with cirrhosis more than doubled over the past decade. Cirrhosis conferred an increased risk of several adverse events, although maternal and perinatal mortality was uncommon. These data underscore the need for reproductive counseling and multidisciplinary pregnancy management in young women with cirrhosis.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".