Prediction of hypertensive disorders in pregnancy based on placental growth factor.

Qi Xu, Ge Sun, Song Zhang, Guoli Liu, Lin Yang, Yu Meng, Aiqing Chen, Yimin Yang, Xuwen Li, Dongmei Hao, Xiaohong Liu, Jing Shao

Technology and health care : official journal of the European Society for Engineering and Medicine 2021

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The prediction of hypertensive disorders in pregnancy (HDP) mainly involves various aspects such as maternal characteristics and biomarkers. We aimed to study the effect of the HDP prediction model with or without placental growth factor (PlGF). This study used maternal factors and PlGF, and standardized the data uniformly. At 12-20 weeks, the comprehensive comparison of model quality with or without PlGF was conducted by logistic regression. The area under curve and the model accuracy of the model with PlGF were higher than those of the model without PlGF. The accuracy of the model with PlGF was above 90%. Adding PlGF to the model for predicting HDP improved the accuracy and effectiveness of the model. This study confirmed the predictive performance of PlGF.

Citation

Qi Xu, Ge Sun, Song Zhang, Guoli Liu, Lin Yang, Yu Meng, Aiqing Chen, Yimin Yang, Xuwen Li, Dongmei Hao, Xiaohong Liu, Jing Shao. Prediction of hypertensive disorders in pregnancy based on placental growth factor. Technology and health care : official journal of the European Society for Engineering and Medicine. 2021;29(S1):165-170