Evidence map›Paper›PMID 39871211›Full record

ArticleBMC pregnancy and childbirth2025

Evaluation of placental growth factor, Vitamin D, and systemic inflammatory index as predictive biomarkers for preeclampsia severity: a retrospective cohort study.

Xiaoyan Han, Hua Yang

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Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Xiaoyan HanDepartment of Gynecology and Obstetrics, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China. hxy13810205891@126.com.
Hua YangDepartment of Gynecology and Obstetrics, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimOur study aimed to evaluate the predictive value of Placental growth factor (PlGF), Vitamin D, and systemic inflammatory index for assessing preeclampsia risk and severity. MATERIALS AND

methodsThis retrospective cohort study included 457 pregnant individuals who delivered at our hospital between March 2023 and October 2024. Participants were divided into three groups: control (n = 217), mild preeclampsia (n = 101), and severe preeclampsia (n = 67). A separate validation cohort (n = 72) was used to test model performance. Data on demographic, clinical, and laboratory characteristics, including PlGF, Vitamin D, neutrophil, lymphocyte, and monocyte counts, were collected between 16 and 20 weeks of gestation. Logistic regression analysis was performed to identify independent risk factors, and receiver operating characteristic (ROC) curve analysis was used to assess the predictive power of PlGF, Vitamin D, lymphocyte count, and Pan-immune-inflammation value (PIV). The regression models adjusted for potential confounders, including maternal age, body mass index (BMI), and parity.

resultsIn the training cohort, significant differences were observed among control, mild, and severe preeclampsia groups, with severe cases showing elevated PIV (515.8 ± 126.7) and reduced levels of PlGF (12.5 ± 5.8 pg/mL) and Vitamin D (8.4 ± 1.9 ng/mL) compared to controls (P < 0.001). Logistic regression identified lower levels of PlGF (P < 0.001) and Vitamin D (P < 0.001) as significant independent risk factors for severe preeclampsia. PIV was also a strong predictor, showing a high hazard ratio (P < 0.001). In the training and validation cohorts, ROC analysis showed AUC values of 0.774 and 0.751 for PlGF, 0.805 and 0.796 for Vitamin D, 0.688 and 0.675 for Lymphocyte, and 0.724 and 0.752 for PIV, respectively, indicating strong predictive value for PlGF, Vitamin D, and PIV in assessing preeclampsia risk.

conclusionLower levels of PlGF and Vitamin D, along with higher PIV, were independently associated with an increased risk of severe preeclampsia. These findings suggest that PlGF, Vitamin D, and PIV are valuable biomarkers for early identification of high-risk preeclampsia patients, potentially aiding in timely intervention and improved outcomes.

Indexed as

InflammationPlacenta Growth FactorPre-EclampsiaVitamin DAdultBiomarkersFemaleHumansPredictive Value of TestsPregnancyRetrospective StudiesRisk FactorsROC CurveSeverity of Illness IndexBiomarkersPGF protein, humanPlacenta Growth FactorVitamin DPan-Immune Inflammation ValuePlacental Growth FactorPreeclampsiaRisk PredictionVitamin D

Identifiers

PMID39871211
PMCPMC11771059

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.