Development and validation of a preeclampsia prediction model for the first and second trimester pregnancy based on medical history

The incidence of PE was associated with maternal age, pre-pregnancy weight and BMI, family hypertension history, PGDM, pregnancy complicating nephropathy, gestational complicating immune system disorders, blood pressure (systolic, diastolic, mean arterial pressure) at 11-13 + 6 gestational weeks, and PIGF at 13-20 + 6 gestational weeks. When PIGF < 90 pg/ml at 13-20 + 6 gestational week, the risk of PE increased significantly with the reduction of PIGF. The nomogram based on the above results was simpler and more practical in clinical application for PE predicting during the first and second trimester, and may provide an important reference for doctors and patients.

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Publication Details

Journal
BMC Pregnancy and Childbirth
Published
2025-05-27
DOI
https://doi.org/10.1186/s12884-025-07733-7
Citations
1
Primary Topic
Pregnancy and preeclampsia studies
Type
article
Field-Weighted Citation Impact
2.06

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article

Development and validation of a preeclampsia prediction model for the first and second trimester pregnancy based on medical history

Lili Xing, Guoli Liu, Ting Zhang, Qi Xu
1 citations
BMC Pregnancy and Childbirth
Pregnancy and preeclampsia studies
2.06
article

Development and validation of a preeclampsia prediction model for the first and second trimester pregnancy based on medical history

Lili Xing, Guoli Liu, Ting Zhang, Qi Xu
article en
1 citations

Abstract

The incidence of PE was associated with maternal age, pre-pregnancy weight and BMI, family hypertension history, PGDM, pregnancy complicating nephropathy, gestational complicating immune system disorders, blood pressure (systolic, diastolic, mean arterial pressure) at 11-13 + 6 gestational weeks, and PIGF at 13-20 + 6 gestational weeks. When PIGF < 90 pg/ml at 13-20 + 6 gestational week, the risk of PE increased significantly with the reduction of PIGF. The nomogram based on the above results was simpler and more practical in clinical application for PE predicting during the first and second trimester, and may provide an important reference for doctors and patients.

BMC Pregnancy and ChildbirthVol. 25(1)
Inner Mongolia Autonomous Region Hospital of Traditional Chinese Medicine (CN)
Natural Science Foundation of Beijing Municipality, Peking University, Peking University People's Hospital
Good health and well-being
Openalex Percentile: Top 15%
Pregnancy and preeclampsia studies
2.06
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