The invention provides a construction method of a multi-parameter pre-
eclampsia risk assessment prediction model, a prediction model, a prediction product, a
prediction system and related applications thereof. Specifically, six
metabolic markers including 4-hydroxyphenyllactic acid, homovanillic acid,
ornithine,
sarcosine,
adenosine monophosphate and 3-methylbutyryl
carnitine and two
preeclampsia-related
protein markers IGFBP1 and PLGF are measured, the
blood pressure of both arms of an individual is measured, the average arterial pressure is calculated,
clinical information of a
maternal body is combined, and the
blood pressure of both arms of the individual is calculated. A
metabolism and
protein marker multi-index combined prediction model for the onset risk of
preeclampsia of
pregnancy 12-17 + 6 weeks is established. The effect of the
random forest model for screening early-onset and late-onset
eclampsia is better than that of using a single
protein or
metabolite marker or other
metabolism and protein marker combined models, so that the work of predicting the
preeclampsia occurrence risk in 12-17 + 6 weeks of
pregnancy is realized, and clinical doctors are guided to carry out advanced intervention.