Construction of a risk prediction model for adverse pregnancy outcomes in primipara with gestational diabetes mellitus combined with pregnancy-induced hypertension syndrome

Advanced maternal age, pre-pregnancy BMI, family history of diabetes, preeclampsia, and elevated HbA1c are significant risk factors for adverse pregnancy outcomes in GDM combined with PIH. The nomogram model provides an effective tool for predicting such outcomes.

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Publication Details

Journal
Clinical and Experimental Hypertension
Published
2025-04-20
DOI
https://doi.org/10.1080/10641963.2025.2492621
Citations
4
Primary Topic
Gestational Diabetes Research and Management
Type
article
Field-Weighted Citation Impact
8.23
Controls
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article

Construction of a risk prediction model for adverse pregnancy outcomes in primipara with gestational diabetes mellitus combined with pregnancy-induced hypertension syndrome

Lanfen He, Yufang Huang, Qiuxiang Huang, Zhichun Li et al.
4 citations
Clinical and Experimental Hypertension
Gestational Diabetes Research and Management
8.23
article

Construction of a risk prediction model for adverse pregnancy outcomes in primipara with gestational diabetes mellitus combined with pregnancy-induced hypertension syndrome

Lanfen He, Yufang Huang, Qiuxiang Huang, Zhichun Li, Wenqing Li, Jing Zhu, Lingli Xiao
article en
4 citations

Abstract

Advanced maternal age, pre-pregnancy BMI, family history of diabetes, preeclampsia, and elevated HbA1c are significant risk factors for adverse pregnancy outcomes in GDM combined with PIH. The nomogram model provides an effective tool for predicting such outcomes.

Clinical and Experimental HypertensionVol. 47(1)
Huazhong University of Science and Technology (CN)
Good health and well-being
Openalex Percentile: Top 3%
Gestational Diabetes Research and Management
8.23
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