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Placenta Growth Factor

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Changes in maternal placental growth factor levels during term labour.

Placenta
UNLABELLED: Placental growth factor (PlGF) has important angiogenic function that is critical to placental development. Lower levels of PlGF are associated with fetal growth restriction, pre-eclampsia and intrapartum fetal compromise. The aim of this...

Clinical Assessment of Soluble FMS-Like Tyrosine Kinase-1/Placental Growth Factor Ratio for the Diagnostic and the Prognosis of Preeclampsia in the Second Trimester.

Clinical laboratory
BACKGROUND: Preeclampsia is one of the most common and serious complications of pregnancy. Various reports have demonstrated that disturbances in angiogenic and antiangiogenic factors are implicated in its pathogenesis and have possible relevance in ...

Development of early prediction model for pregnancy-associated hypertension with graph-based semi-supervised learning.

Scientific reports
Clinical guidelines recommend several risk factors to identify women in early pregnancy at high risk of developing pregnancy-associated hypertension. However, these variables result in low predictive accuracy. Here, we developed a prediction model fo...

Prediction model of preeclampsia using machine learning based methods: a population based cohort study in China.

Frontiers in endocrinology
INTRODUCTION: Preeclampsia is a disease with an unknown pathogenesis and is one of the leading causes of maternal and perinatal morbidity. At present, early identification of high-risk groups for preeclampsia and timely intervention with aspirin is a...

Validation of the first-trimester machine learning model for predicting pre-eclampsia in an Asian population.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
OBJECTIVES: To evaluate the performance of an artificial intelligence (AI) and machine learning (ML) model for first-trimester screening for pre-eclampsia in a large Asian population.

A comprehensive and bias-free machine learning approach for risk prediction of preeclampsia with severe features in a nulliparous study cohort.

BMC pregnancy and childbirth
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 mana...