One-Step Approach IDs More Cases of Gestational Diabetes
A one-step approach identifies more diagnoses of gestational diabetes, with no significant impact on perinatal or maternal complications.
A one-step approach identifies more diagnoses of gestational diabetes, with no significant impact on perinatal or maternal complications.
Exercise during the first trimester of pregnancy reduces the risks for abnormal glucose screening and gestational diabetes mellitus.
Machine learning (ML) models are highly accurate for predicting gestational diabetes mellitus (GDM) in early pregnancy in a Chinese population.
Amino acid dysmetabolism can be detected during the early postpartum period and is predictive of the transition from gestational diabetes to type 2 diabetes.
Medical societies from the United Kingdom, Canada, and Australia have released recommendations for modification of testing during the COVID-19 pandemic.
Early diagnosis and treatment of gestational diabetes mellitus (GDM) in high-risk women improves gestational weight gain.
Among women with a history of gestational diabetes mellitus, a genetic risk score (GRS) is generally positively associated with type 2 diabetes risk.
Rapid eye movement-related obstructive sleep apnea and other sleep disordered breathing events are associated with an increased risk for gestational diabetes.
Longer duration of lactation is associated with a lower risk for type 2 diabetes among women with a history of gestational diabetes mellitus.
The level of MFSD2a in maternal blood is a possible biomarker for disturbances of MFSD2a gene expression and may assist in predicting fetal neurodevelopment.