Pregnancy and neonatal outcomes in women with arcuate uterus: a population-based cohort study of over 3.8 million women
Bibliographic record
Abstract
BACKGROUND: Congenital uterine anomalies are associated with adverse reproductive outcomes, yet the impact of the arcuate uterus remains unclear due to limited sample sizes and inconsistent findings in previous studies. We utilized a large population database to assess pregnancy, delivery, and neonatal outcomes in women with an arcuate uterus. METHODS: Retrospective population-based study using data from the Health Care Cost and Utilization Project-Nationwide Inpatient Sample. Cases of arcuate uterus were identified using ICD code 752.36. Pregnancies in women with an arcuate uterus were matched to 3,016 pregnancies in women without congenital uterine anomalies (1 to 4) and compared to the entire population without congenital anomalies. Multivariate logistic regression adjusted for confounding variables. RESULTS: Among 3,841,147 control births and 754 births in women with an arcuate uterus, more of these women were older than 25 and had higher rates of previous cesarean sections (CS), in-vitro pregnancies, and multiple gestations (all P < 0.01). Pregnancy outcomes showed higher rates of pregnancy-induced hypertension (adjusted odds ratio (aOR) 1.32), preeclampsia (aOR 1.63), premature preterm rupture of membranes (aOR 2.86), preterm delivery (aOR 1.86), placental abruption (aOR 3.08), CS (aOR 10.88), and small for gestational age (SGA) neonates (aOR 2.21) (all 95%CI excluding 1). Compared to the matched cohort, women with an arcuate uterus had higher rates of pregnancy-induced hypertension (aOR 1.76), preeclampsia (aOR 2.08), premature preterm rupture of membranes (aOR 2.46), preterm delivery (aOR 2.74), placental abruption (aOR 2.11), postpartum hemorrhage (aOR 1.67), wound complications (aOR 3.42), CS (aOR 30.04), disseminated intravascular coagulopathy (DIC) (aOR 5.36), and SGA (aOR 1.76) (all 95%CI excluding 1). CONCLUSIONS: Women with an arcuate uterus appear to be at increased risk of adverse pregnancy outcomes, particularly CS and DIC. These associations should be interpreted with caution and confirmed in larger studies.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".