A method for constructing a
preeclampsia prediction model by using clinical laboratory data and the use thereof. Specifically, the
preeclampsia risk prediction model is constructed on the basis of several clinical indexes of pregnant women, several pieces of clinical laboratory data, and
insulin-like
growth factor-
binding protein 1 and / or
placental growth factor. The several pieces of clinical laboratory data comprise
white blood cell count and / or
urine protein, and further comprise any one or a combination of
platelet count,
monocyte percentage, aspartate aminotransferase /
alanine aminotransferase ratio, glutamyl transpeptidase,
uric acid and high-density
lipoprotein. The constructed
preeclampsia risk prediction model can provide a reliable implementation means for early prevention and early treatment of preeclampsia. Moreover, in a fully independent validation set, when the specificity of the prediction model for early-onset preeclampsia is 85.04%, the sensitivity is 88.0%, and when the specificity for late-onset preeclampsia is 85.04%, the sensitivity is 62.5%, outperforming the current
detection performance.