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| http://dx.doi.org/10.1161/HYPERTENSIONAHA.109.129379 | DOI Listing |
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First-Trimester Soluble sFlt-1 for the Prediction of Preterm Preeclampsia.
J Obstet Gynaecol Can
December 2024
Department of Obstetrics and Gynecology, Faculty of Medicine, Université Laval, Quebec City, Canada; Centre de recherche du CHU de Québec - Université Laval, Quebec City, Canada. Electronic address:
While soluble fms-like tyrosine kinase 1 (sFlt-1) is used to predict preeclampsia (PE) and its severity in late pregnancy, we aimed to clarify its role in early pregnancy. Using prospective cohorts, we estimated the association between sFlt-1, adjusted for gestational age, and preterm PE. sFlt-1 was significantly decreased in the first trimester, mostly before the 13th week, and significantly increased in the third trimester in those who developed preterm PE and particularly early-onset PE.
View Article and Find Full Text PDFFirst-trimester screening and small for gestational age in twin pregnancies: a single center cohort study.
Arch Gynecol Obstet
December 2024
Maternal and Fetal Medicine Unit, São José Local Health Unit, Centro Clínico Académico de Lisboa, Lisbon, Portugal.
Objective: This study aimed to investigate the association between maternal factors and first-trimester biophysical and biochemical markers with small for gestational age (SGA) neonates in twin pregnancies (TwPs).
Methods: Single-center retrospective cohort study of TwPs followed from January 2010 to December 2022 at a tertiary perinatal center, Portugal. Maternal and pregnancy characteristics, mean arterial pressure, pregnancy-associated plasma protein-A (PAPP-A), β-human chorionic gonadotropin (β-HCG), and uterine artery pulsatility index (UtA-PI) were analyzed.
Dynamic changes of gut microbiota between the first and second trimester for women with gestational diabetes mellitus and their correlations with BMI: a nested cohort study in China.
Front Microbiol
December 2024
Center of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, China.
Introduction: Gut microbiota (GM) has been implicated in gestational diabetes mellitus (GDM), yet longitudinal changes across trimesters remain insufficiently explored.
Methods: This nested cohort study aimed to investigate GM alterations before 24 weeks of gestation and their association with GDM. Ninety-three Chinese participants provided fecal samples during the first and second trimesters.
Prediction of gestational diabetes mellitus using early-pregnancy data: a secondary analysis from a prospective cohort study in Iran.
BMC Pregnancy Childbirth
December 2024
Vali-e-Asr Reproductive Health Research Center, Family Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Background: Early identification of gestational diabetes mellitus is essential for improving maternal and neonatal outcomes. While risk factors such as advanced maternal age, elevated pre-pregnancy body mass index, multiparity, and a history of gestational diabetes have been recognized, the role of serum biomarkers remains uncertain. This study explores the predictive value of early-pregnancy laboratory findings in conjunction with maternal demographic and clinical characteristics for gestational diabetes mellitus.
View Article and Find Full Text PDFA comprehensive and bias-free machine learning approach for risk prediction of preeclampsia with severe features in a nulliparous study cohort.
BMC Pregnancy Childbirth
December 2024
Department of Computer Science, Columbia University, 1214 Amsterdam Ave, 721 Schapiro CEPSR, New York, NY, 10027, USA.
Preeclampsia is one of the leading causes of maternal morbidity, with consequences during and after pregnancy. Because of its diverse clinical presentation, preeclampsia is an adverse pregnancy outcome that is uniquely challenging to predict and manage. In this paper, we developed racial bias-free machine learning models that predict the onset of preeclampsia with severe features or eclampsia at discrete time points in a nulliparous pregnant study cohort.
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