Results 91 to 100 of about 17,048 (208)

Machine learning‐based prediction model for adverse pregnancy outcomes in women with gestational diabetes mellitus

Journal of Diabetes Investigation, EarlyView.
Machine learning models were developed in Korean women with gestational diabetes to predict adverse pregnancy outcomes including large‐ and small‐for‐gestational‐age, low Apgar score, and preterm delivery. RandomForest and ExtraTree showed highest AUROC 0.726 for LGA and 0.689 for low Apgar score, respectively.
Jooyeop Lee, Seoung‐Ho Choi, Hyeon Ji Kim, Jee Yoon Park, Tae Jung Oh, Sung Hee Choi, Hak Chul Jang, Joon Ho Moon   +7 more
wiley   +1 more source

Protein consumption during pregnancy and risk of gestational diabetes mellitus: Insights from a multi‐center case–control study

Journal of Diabetes Investigation, EarlyView.
ABSTRACT Aims Gestational diabetes mellitus (GDM) poses major health risks for mothers and infants. Evidence on the association between dietary protein intake and GDM risk remains inconsistent. This study investigated dietary protein quantity and quality in relation to GDM.
Marzieh Zare, Elnaz Daneshzad, Hatav Tehrani, Razieh Tabaeifard, Maryam Mahmoudi, Leila Azadbakht   +5 more
wiley   +1 more source

Early diagnosis of gestational diabetes mellitus evidence from Asia countries: A meta‐analysis and systematic review

Journal of Diabetes Investigation, EarlyView.
In Asian populations, early gestational diabetes mellitus (diagnosed before 24 weeks) identifies women at higher metabolic risk and is associated with increased insulin use, preterm birth, and operative delivery. These findings support the need for harmonized diagnostic criteria and region‐specific screening strategies.
Ke Thi Lan Anh, Nguyen Ngoc Anh, Pham Minh Nguyet, Dang Phuong Linh, Tran Thi Hai Yen, Vo Duy Quan   +5 more
wiley   +1 more source

Lipid metabolism profiles as predictors of gestational diabetes mellitus risk: A retrospective study

Journal of Diabetes Investigation, EarlyView.
ABSTRACT Objective Gestational diabetes mellitus (GDM) is one of the most common metabolic disorders in pregnancy and is associated with significant maternal and fetal risks. The study aims to investigate lipid metabolism profiles associated with GDM to identify independent risk factors.
Xiaoyan Xiu, Huale Zhang, Yingying Lin, Jianying Yan   +3 more
wiley   +1 more source

The association between macrosomia and glucose, lipids and hormones levels in maternal and cord serum: a case-control study

BMC Pregnancy and Childbirth
Background The formation of macrosomia is associated with excessive nutrition and/or unable to regulate effectively. This case-control study aims to explore the relationship between macrosomia and glucose, lipids and hormones levels in maternal and cord ...
Xinxin Xing, Yifan Duan, Jie Wang, Zhenyu Yang, Qingqing Man, Jianqiang Lai   +5 more
doaj   +1 more source

The Association Between Foetal Brain and Body Size Mid‐Gestation and Neurodevelopmental Disorders in Childhood

Paediatric and Perinatal Epidemiology, EarlyView.
ABSTRACT Background Smallness for gestational age and reduced head circumference at birth are consistently associated with later neurodevelopmental disorders (NDD), but it is unclear whether similar associations are present at foetal biometry in mid‐gestation. Objectives To investigate associations between second‐trimester foetal biometric measurements
Mads Langager Larsen, Gorm Greisen, Lone Krebs, Christina Engel Hoei‐Hansen, Olav Bjørn Petersen   +4 more
wiley   +1 more source

Maternal nutrition as a key determinant of placental and developing blood–brain barrier xenobiotic protective functions

The Journal of Physiology, EarlyView.
Abstract figure legend Suboptimal maternal nutrition alters placental and developing blood–brain barrier (BBB) protective function and is associated with increased fetal brain vulnerability. In the placenta, nutritional adversity may reduce the exchange surface area and promote meta‐inflammation, compromising barrier efficiency in a model‐ and context ...
Kristin L. Connor, Nycolle I. S. Souza, Bruno G. Anjos, Stephen G. Matthews, Enrrico Bloise   +4 more
wiley   +1 more source

The acute effects of exercise on fetal well‐being in pregnancies complicated by fetal growth restriction with normal Dopplers: A prospective study

Pregnancy, Volume 2, Issue 5, September 2026.
Abstract Background The potential risks and benefits of moderate‐intensity exercise in the management of fetal growth restriction (FGR) are controversial. Objective We sought to evaluate fetal responses to a 30‐min bout of moderate‐intensity exercise in pregnancies complicated by FGR.
Alissa Paudel, Jill M. Maples, Linda Szymanski, Rachel Tinius, Nikki B. Zite, Kristina Carter, Gregory S. Hawk, Kimberly B. Fortner   +7 more
wiley   +1 more source

Machine learning approaches for predicting fetal macrosomia at different stages of pregnancy: a retrospective study in China

BMC Pregnancy and Childbirth
Background Macrosomia presents significant risks to both maternal and neonatal health, however, accurate antenatal prediction remains a major challenge. This study aimed to develop machine learning approaches to enhance the prediction of fetal macrosomia
Qingyuan Liu, Simin Zhu, Meng Zhao, Lan Ma, Chenqian Wang, Xiaotong Sun, Yanyan Feng, Yifan Wu, Zhen Zeng, Lei Zhang   +9 more
doaj   +1 more source

Nerve Injury Following Birth, the Role of Epidural Analgesia—A Protocol for a Scoping Review

Acta Anaesthesiologica Scandinavica, Volume 70, Issue 8, September 2026.
ABSTRACT Background Epidural analgesia is widely used during labor, and postpartum nerve injury is an uncommon but clinically relevant outcome. Neurological symptoms after childbirth may be related to obstetric or anesthetic factors. Studies vary considerably in how postpartum nerve injury is identified, defined, assessed, and followed, limiting ...
Louise Mathilde Loft Sakhat, Amanda Prip Dohn, Bo Biering‐Sørensen, Kenneth Geving Andersen, Line Thellesen, Kim Wildgaard   +5 more
wiley   +1 more source