Abstract: As a common obstetric disease, pre-eclampsia (PE) remains a significant cause of maternal and neonatal morbidity and mortality. The pathophysiological processes of the disease  remains unclear. Improved prediction strategies of PE would allow for identification of high-risk population and timely clinical intervention. This paper reviews recent advances in first trimester prediction for PE, including the use of maternal characteristics, mean arterial pressure, genetic markers, biochemical markers, and Doppler markers. Among all the prediction models, the most promising one involves multi-parametric approaches. However, the fact that most indicators in current models are difficult to measure and lack of validation, restrict the possible clinical applications. There is an urgent need for establishing a PE prediction model at early pregnancy stage suitable for domestic use in accounting for local setting of antenatal examination and model validation.

Key words: Pre-eclampsia, Arterial pressure;, Biomarkers, Ultrasonography, Pregnancy trimester, , first;, Forecasting, Lipids