Results 271 to 280 of about 151,514 (357)
ABSTRACT Introduction This study systematically synthesized evidence on adverse health outcomes related to gestational diabetes mellitus (GDM) via an umbrella review with integrated meta‐analyses. Methods The search covered publications from the database (PubMed/MEDLINE, Google Scholar, Embase, and CINAHL) inception to August 12, 2024. Meta‐analyses of
Jiseung Kang +14 more
wiley +1 more source
Complicaciones maternoperinatales de la preeclampsia-eclampsia
Adolfo Pinedo, Luis Orderique
openalex +1 more source
Aim Adolescent pregnancy is a global public health concern associated with increased risks of physical health, mental well‐being, and social functioning; however, its potential to increase the long‐term risk of major psychiatric disorder (MPD) remains underexplored.
Tien‐Wei Hsu +8 more
wiley +1 more source
Impact of Different Maternal Age Subgroups on Pregnancy Adverse Outcomes in China: A Multicenter Cohort Study. [PDF]
Zhang YJ, Zhou J, Chen C.
europepmc +1 more source
ABSTRACT Background Studies show that foetal and birthweight‐for‐gestational age centiles are poor predictors of serious neonatal morbidity and neonatal mortality (SNMM) in univariable models. Objective We assessed the predictive performance of multivariable SNMM models based on maternal/pregnancy characteristics, with and without birthweight centiles.
Sid John +5 more
wiley +1 more source
A Case of Severe Pre-Eclampsia Complicated by HELLP Syndrome and Extensive Hepatic Infarction. [PDF]
Xia T, Gao F, Liang F, Shao Y.
europepmc +1 more source
ABSTRACT Background Prenatal antibiotic exposure and caesarean births are associated with an increased risk of hospitalised infection in children, but few studies have evaluated their impact on less severe infections and possible joint effects. Conversely, longer breastfeeding duration is protective against infections, but whether this effect varies ...
Isobel M. F. Todd +4 more
wiley +1 more source
The Prediction of Pre-Eclampsia Using Low Fetal Fraction in a Machine Learning Model. [PDF]
Wang J +9 more
europepmc +1 more source

