Liju Nie , Ziyu Zhang , Qinglan Yao , Huayan Chen , Chao Xu , Lin Chen , Chengcheng Liu , Lantao Tu , Yuping Yi , Tianqiang Huang , Xiaoming Zeng , Lamei Yu
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引用次数: 0
Abstract
Objective
This study aims to develop and validate a model based on the weighted random forest (WRF) algorithm to predict early-onset preeclampsia (PE) and to assess the importance of various clinical and biochemical markers in early risk identification.
Materials and methods
This study was conducted at the Jiangxi Maternal and Child Health Hospital and involved 12,699 pregnant women from January 2019 to June 2022. Extensive clinical and biochemical markers were collected through prenatal care data, which were used to construct a predictive model for early-onset PE. The model was developed using the WRF and Logistic regression methods, and multivariable analysis was employed to identify markers significantly associated with the risk of PE.
Results
The relative importance of various markers was evaluated using the random forest (RF) model in a sample of 1200 patients diagnosed with PE. Blood pressure and pre-pregnancy body mass index (BMI) were identified as the most critical variables affecting the accuracy of the PE prediction model. The WRF model demonstrated higher predictive accuracy (AUC = 0.9614) than the Logistic regression model (AUC = 0.9138), highlighting its superiority in early risk identification for PE.
Conclusion
The WRF-based predictive model developed in this study effectively predicts the risk of early-onset PE, with blood pressure and BMI as vital predictive factors. These findings underscore the importance of employing a comprehensive predictive model for risk assessment in early pregnancy, facilitating early intervention and improving health outcomes for pregnant women and their newborns.
期刊介绍:
Taiwanese Journal of Obstetrics and Gynecology is a peer-reviewed journal and open access publishing editorials, reviews, original articles, short communications, case reports, research letters, correspondence and letters to the editor in the field of obstetrics and gynecology.
The aims of the journal are to:
1.Publish cutting-edge, innovative and topical research that addresses screening, diagnosis, management and care in women''s health
2.Deliver evidence-based information
3.Promote the sharing of clinical experience
4.Address women-related health promotion
The journal provides comprehensive coverage of topics in obstetrics & gynecology and women''s health including maternal-fetal medicine, reproductive endocrinology/infertility, and gynecologic oncology. Taiwan Association of Obstetrics and Gynecology.