Development and validation of nomograms to predict clinical outcomes of preeclampsia

BackgroundPreeclampsia (PE) is one of the most severe pregnancy-related diseases; however, there is still a lack of reliable biomarkers. In this study, we aimed to develop models for predicting early-onset PE, severe PE, and the gestation duration of patients with PE.MethodsEligible patients with PE...

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Bibliographic Details

Published in:	Frontiers in Endocrinology
Main Authors:	Yan Xia, Yao Wang, Shijin Yuan, Jiaming Hu, Lu Zhang, Jiamin Xie, Yang Zhao, Jiahui Hao, Yanwei Ren, Shengjun Wu
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-03-01
Subjects:	pre-eclampsia nomogram biomarker predictive model peripheral biomarkers
Online Access:	https://www.frontiersin.org/articles/10.3389/fendo.2024.1292458/full