Perinatal outcomes in pregnancies complicated by acute pancreatitis
Bibliographic record
Abstract
OBJECTIVES: Acute pancreatitis is a rare condition that can be associated with significant complications. The objective of this study is to evaluate the maternal and newborn outcomes associated with acute pancreatitis in pregnancy. METHODS: A retrospective cohort study using the Healthcare Cost and Utilization Project-Nationwide Inpatient Sample from the United States was performed. All pregnant patients with acute pancreatitis were identified using International Classification of Disease-9 coding from 1999 to 2015. The effect of acute pancreatitis on maternal and neonatal outcomes in pregnancy was evaluated using multivariate logistic regression, while adjusting for baseline maternal characteristics. RESULTS: From 1999 to 2015, there were a total of 13,815,919 women who gave birth. There were a total of 14,258 admissions of women diagnosed with acute pancreatitis, including 1,756 who delivered during their admission and 12,502 women who were admitted in the antepartum period and did not deliver during the same admission. Acute pancreatitis was associated with increased risk of prematurity, OR 3.78 (95% CI 3.38-4.22), preeclampsia, 3.81(3.33-4.36), postpartum hemorrhage, 1.90(1.55-2.33), maternal death, 9.15(6.05-13.85), and fetal demise, 2.60(1.86-3.62) among women diagnosed with acute pancreatitis. Among women with acute pancreatitis, delivery was associated with increased risk of requiring transfusions, 6.06(4.87-7.54), developing venous thromboembolisms, 2.77(1.83-4.18), acute respiratory failure, 3.66(2.73-4.91), and disseminated intravascular coagulation, 8.12(4.12-16.03). CONCLUSIONS: Acute pancreatitis in pregnancy is associated with severe complications, such as maternal and fetal death. Understanding the risk factors that may lead to these complications can help prevent or minimize them through close fetal and maternal monitoring.
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) | 0.001 | 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".