Peking University People's Hospital, Beijing 100044, China.
Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, China.
Technol Health Care. 2021;29(S1):165-170. doi: 10.3233/THC-218017.
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.
妊娠高血压疾病(HDP)的预测主要涉及母体特征和生物标志物等多个方面。
本研究旨在探讨添加或不添加胎盘生长因子(PlGF)的 HDP 预测模型的效果。
本研究使用了母体因素和 PlGF,并对数据进行了标准化。在 12-20 周时,通过逻辑回归对有或无 PlGF 的模型进行了综合比较。
有 PlGF 的模型的曲线下面积和模型准确性均高于无 PlGF 的模型。有 PlGF 的模型的准确性在 90%以上。
在预测 HDP 的模型中添加 PlGF 可提高模型的准确性和有效性。本研究证实了 PlGF 的预测性能。