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Retrospective Analysis of the Correlation between Umbilical Blood Flow Index and Maternal and Fetal Outcomes in Pregnant Women with Gestational Diabetes.
Br J Hosp Med (Lond)
January 2025
Department of Obstetrics and Gynecology, The First Clinical Medical College of Three Gorges University, Yichang Central People's Hospital, Yichang, Hubei, China.
Gestational diabetes mellitus (GDM) is a common complication during pregnancy. This retrospective study investigates the correlation between umbilical blood flow index and maternal-fetal outcomes in pregnant women with GDM, aiming to contribute to evidence-based risk assessment and management strategy in this high-risk obstetric population. This retrospective study recruited 119 pregnant women with GDM who were admitted to the Yichang Central People's Hospital, between January 2022 and January 2024.
View Article and Find Full Text PDFPregnancy Complications and Outcomes in Obese Women with Gestational Diabetes.
Medicina (Kaunas)
January 2025
Department of Obstetrics and Gynaecology, Medical Academy, Lithuanian University of Health Sciences, A. Mickevicius St. 7, 44307 Kaunas, Lithuania.
: To assess pregnancy and delivery complications in obese women with gestational diabetes mellitus (GDM) and neonatal weight and condition after birth. : A retrospective tertiary referral centre study included all cases of GDM in the Department of Obstetrics and Gynaecology of the Lithuanian University of Health Sciences (LUHS) Birth Registry from 1 January 2019 to 31 December 2019. We included 583 women with GDM and singleton pregnancies.
View Article and Find Full Text PDFSyphilis Infection During Pregnancy: The Possible Effect on the Course of Pregnancy and Fetal Outcomes-A Case Report and Literature Review.
Biomedicines
January 2025
Clinic of Obstetrics and Gynaecology, Faculty of Medicine, Institute of Clinical Medicine, Vilnius University, 03101 Vilnius, Lithuania.
A wide range of syphilis-related pregnancy complications are encountered in clinical practice. Active surveillance of the epidemiological situation in different countries and a series of retrospective data analyses allow for a comprehensive assessment of the feasible consequences of syphilis infection during pregnancy. The negative effects of infection on reproductive health are also described.
View Article and Find Full Text PDFAssociation of epidural labor analgesia with maternal and neonatal outcomes in women with preeclampsia: a propensity score-matched single-center retrospective cohort study.
BMC Pregnancy Childbirth
January 2025
Department of Anesthesiology, Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Key Laboratory of Women and Children's Critical Diseases Research, Fujian Medical University, Fujian, Fuzhou 350001, China.
Background: Epidural labor analgesia (ELA) is widely and safely used for labor pain relief. However, it remains unclear whether ELA affects maternal and neonatal outcomes in women suffering from preeclampsia.
Methods: This study reviewed the medical records of women with preeclampsia at ≥ 28 weeks of gestation between January 2015 and December 2020.
Novel Machine Learning Applications in Peripartum Care: A Scoping Review.
Am J Obstet Gynecol MFM
January 2025
The Josef Buchmann Gynecology and Maternity Center, Sheba Medical Center, Tel Hashomer, Israel; ARC Innovation Center, Sheba Medical Center, Ramat Gan, Israel; Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel; The Dina Recanati School of Medicine, Reichmann University, Herzliya, Israel.
Objective: Machine learning (ML), a subtype of artificial intelligence (AI), presents predictive modeling and dynamic diagnostic tools to facilitate early interventions and improve decision-making. Considering the global challenges of maternal, fetal, and neonatal morbidity and mortality, ML holds the potential to enable significant improvements in maternal and neonatal health outcomes. We aimed to conduct a comprehensive review of ML applications in peripartum care, summarizing the potential of these tools to enhance clinical decision-making and identifying emerging trends and research gaps.
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