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First-trimester metabolic profiling of gestational diabetes mellitus: insights into early-onset and late-onset cases compared with healthy controls.
Front Mol Biosci
January 2025
Division of Maternal and Fetal Medicine, Fundación Para la Investigación Biomédica, La Paz University Hospital, Madrid, Spain.
Introduction: Gestational diabetes mellitus (GDM) is a global health concern with significant short and long-term complications for both mother and baby. Early prediction of GDM, particularly late-onset, is crucial for implementing timely interventions to mitigate adverse outcomes. In this study, we conducted a comprehensive metabolomic analysis to explore potential biomarkers for early GDM prediction.
View Article and Find Full Text PDFExplore the factors related to the death of offspring under age five and appraise the hazard of child mortality using machine learning techniques in Bangladesh.
BMC Public Health
January 2025
Department of Statistics and Data Science, Jahangirnagar University, Dhaka, 1342, Bangladesh.
Background: Child mortality is a reliable and significant indicator of a nation's health. Although the child mortality rate in Bangladesh is declining over time, it still needs to drop even more in order to meet the Sustainable Development Goals (SDGs). Machine Learning models are one of the best tools for making more accurate and efficient forecasts and gaining in-depth knowledge.
View Article and Find Full Text PDFESR Essentials: imaging of common paediatric pulmonary diseases-practice recommendations by the European Society of Paediatric Radiology.
Eur Radiol
January 2025
Departments of Radiology and Nuclear Medicine, Erasmus MC - Sophia Children's Hospital, Rotterdam, the Netherlands.
Chest imaging in children presents unique challenges due to varying requirements across age groups. For chest radiographs, achieving optimal images often involves careful positioning and immobilisation techniques. Antero-posterior projections are easier to obtain in younger children, while lateral decubitus radiographs are sometimes used when expiratory images are difficult to obtain and for free air exclusion.
View Article and Find Full Text PDFA prospective observational multicenter cohort study of maternal serum sFlt-1 and PlGF concentration in prediction of adverse neonatal outcomes in small for gestational age newborns delivered ≥34 weeks of gestation.
J Matern Fetal Neonatal Med
December 2025
Department of Obstetrics, Perinatology and Neonatology, Center of Postgraduate Medical Education, Warsaw, Poland.
Introduction: Small-for-gestational age (SGA) newborns are at increased risk of adverse neonatal outcomes and the risk is related to the etiology of growth restriction: highest in placental insufficiency, lowest in constitutional SGA. The aim of this study was to investigate if placental growth factor (PlGF), soluble fms-like tyrosine kinase-1(sFlt-1) or sFlt-1/PlGF ratio are efficient in prediction of adverse neonatal outcomes in SGA newborns delivered ≥34 weeks of gestation.
Methods: A prospective observational multicenter cohort study was performed.
study protocol for a pilot trial of a novel parenting and mental health prevention intervention for migrant mothers with young children at the Mexico-US border.
BMJ Open
January 2025
El Colegio de la Frontera Norte, Tijuana, Mexico.
Introduction: Migrant women in transit face high risk of developing mental health problems such as depression and anxiety, driven by gendered social-structural factors including violence, social isolation, migration uncertainty, limited access to services and gender inequities. Although migrant women who endure such conditions have high need for mental health prevention, few evidence-based interventions are tailored to this population. Moreover, while women and children's mental health are interconnected, few mental health interventions address parenting needs.
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