Congenital Uterine Anomalies and Pregnancy Outcomes: A Population-Based Retrospective Cohort Study

Background/Objectives: Congenital uterine anomalies (CUAs) are associated with adverse pregnancy outcomes, but large-scale data, particularly in Asian populations, remain limited. We evaluated obstetric and neonatal outcomes in women with CUAs using a large national Korean cohort. Methods: This population-based retrospective cohort study used the Korean National Health Insurance Service database and included 878,000 singleton deliveries between 2018 and 2023. CUAs were identified using International Classification of Disease, 10th Revision (ICD-10) codes and categorized as double, septate, bicornuate, or unicornuate uterus. Outcomes were compared with women without CUA using multivariable logistic regression adjusted for maternal age, parity, chronic hypertension, and pregestational diabetes mellitus. Results: CUAs were identified in 6038 women (0.68%), most commonly double uterus. Risks were higher for Cesarean delivery (adjusted odds ratio [aOR] 2.57, 95% confident interval [CI] 2.38–2.77), breech presentation (6.42, 5.91–6.99), placenta previa (1.79, 1.45–2.22), and placental abruption (3.01, 2.26–4.01). Neonates were more likely to be preterm (2.43, 2.10–2.80), small for gestational age (1.90, 1.70–2.10), and to experience respiratory distress syndrome (2.04, 1.63–2.55) and intraventricular hemorrhage (3.04, 2.00–4.62). Conclusions: CUAs are associated with increased risks of adverse obstetric and neonatal outcomes, with subtype-specific variations, warranting tailored prenatal counseling and management.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Medicine
Published
2026-09-01
DOI
https://doi.org/10.3390/jcm15176788
Primary Topic
Gynecological conditions and treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Congenital Uterine Anomalies and Pregnancy Outcomes: A Population-Based Retrospective Cohort Study

Geum Joon Cho, Han Sung Hwang, Ah-Young Choi, Min‐A Kim
Journal of Clinical Medicine
Gynecological conditions and treatments
article

Congenital Uterine Anomalies and Pregnancy Outcomes: A Population-Based Retrospective Cohort Study

Geum Joon Cho, Han Sung Hwang, Ah-Young Choi, Min‐A Kim
article en

Abstract

Background/Objectives: Congenital uterine anomalies (CUAs) are associated with adverse pregnancy outcomes, but large-scale data, particularly in Asian populations, remain limited. We evaluated obstetric and neonatal outcomes in women with CUAs using a large national Korean cohort. Methods: This population-based retrospective cohort study used the Korean National Health Insurance Service database and included 878,000 singleton deliveries between 2018 and 2023. CUAs were identified using International Classification of Disease, 10th Revision (ICD-10) codes and categorized as double, septate, bicornuate, or unicornuate uterus. Outcomes were compared with women without CUA using multivariable logistic regression adjusted for maternal age, parity, chronic hypertension, and pregestational diabetes mellitus. Results: CUAs were identified in 6038 women (0.68%), most commonly double uterus. Risks were higher for Cesarean delivery (adjusted odds ratio [aOR] 2.57, 95% confident interval [CI] 2.38–2.77), breech presentation (6.42, 5.91–6.99), placenta previa (1.79, 1.45–2.22), and placental abruption (3.01, 2.26–4.01). Neonates were more likely to be preterm (2.43, 2.10–2.80), small for gestational age (1.90, 1.70–2.10), and to experience respiratory distress syndrome (2.04, 1.63–2.55) and intraventricular hemorrhage (3.04, 2.00–4.62). Conclusions: CUAs are associated with increased risks of adverse obstetric and neonatal outcomes, with subtype-specific variations, warranting tailored prenatal counseling and management.

Journal of Clinical MedicineVol. 15(17)
Yonsei University (KR), Konkuk University (KR), Korea University Medical Center (KR), Gangnam Severance Hospital (KR), Korea University (JP)
Openalex Percentile: Top 8%
Gynecological conditions and treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.