{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T04:39:14Z","timestamp":1791261554847,"version":"4.1.0"},"reference-count":36,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T00:00:00Z","timestamp":1710374400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Endocrinol."],"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Preeclampsia (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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Eligible patients with PE were enrolled and divided into a training (<jats:italic>n<\/jats:italic> = 253) and a validation (<jats:italic>n<\/jats:italic> = 108) cohort. Multivariate logistic and Cox models were used to identify factors associated with early-onset PE, severe PE, and the gestation duration of patients with PE. Based on significant factors, nomograms were developed and evaluated using the area under the curve (AUC) and a calibration curve.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In the training cohort, multiple gravidity experience (<jats:italic>p<\/jats:italic> = 0.005), lower albumin (ALB; <jats:italic>p<\/jats:italic> &amp;lt; 0.001), and higher lactate dehydrogenase (LDH; <jats:italic>p<\/jats:italic> &amp;lt; 0.001) were significantly associated with early-onset PE. Abortion history (<jats:italic>p<\/jats:italic> = 0.017), prolonged thrombin time (TT; <jats:italic>p<\/jats:italic> &amp;lt; 0.001), and higher aspartate aminotransferase (<jats:italic>p<\/jats:italic> = 0.002) and LDH (<jats:italic>p<\/jats:italic> = 0.003) were significantly associated with severe PE. Abortion history (<jats:italic>p<\/jats:italic> &amp;lt; 0.001), gemellary pregnancy (<jats:italic>p<\/jats:italic> &amp;lt; 0.001), prolonged TT (<jats:italic>p<\/jats:italic> &amp;lt; 0.001), higher mean platelet volume (<jats:italic>p<\/jats:italic> = 0.014) and LDH (<jats:italic>p<\/jats:italic> &amp;lt; 0.001), and lower ALB (<jats:italic>p<\/jats:italic> &amp;lt; 0.001) were significantly associated with shorter gestation duration. Three nomograms were developed and validated to predict the probability of early-onset PE, severe PE, and delivery time for each patient with PE. The AUC showed good predictive performance, and the calibration curve and decision curve analysis demonstrated clinical practicability.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Based on the clinical features and peripheral blood laboratory indicators, we identified significant factors and developed models to predict early-onset PE, severe PE, and the gestation duration of pregnant women with PE, which could help clinicians assess the clinical outcomes early and design appropriate strategies for patients.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fendo.2024.1292458","type":"journal-article","created":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T04:22:57Z","timestamp":1710390177000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Development and validation of nomograms to predict clinical outcomes of 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