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

被引:0
|
作者
Han, Xiaoyan [1 ]
Yang, Hua [1 ]
机构
[1] Capital Med Univ, Beijing Friendship Hosp, Dept Gynecol & Obstet, Beijing 100050, Peoples R China
关键词
Preeclampsia; Placental Growth Factor; Pan-Immune Inflammation Value; Vitamin D; Risk Prediction; ANGIOGENIC FACTORS;
D O I
10.1186/s12884-025-07187-x
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
Aim Our 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 methods This 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. Results In 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. Conclusion Lower 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.
引用
收藏
页数:9
相关论文
共 48 条
  • [1] Placental growth factor as a predictive marker of preeclampsia - PREBIO study - PREeclampsia BIOchemical study
    Giardini, Valentina
    Rovelli, Roberta
    Algeri, Paola
    Giunti, Laura
    Lazzarin, Sara
    Callegari, Clelia
    Roncaglia, Nadia
    Vergani, Patrizia
    JOURNAL OF MATERNAL-FETAL & NEONATAL MEDICINE, 2022, 35 (16): : 3029 - 3035
  • [2] Predictive value of maternal serum placental growth factor levels for discordant fetal growth in twins: a retrospective cohort study
    Li, Shuai
    Wu, Kaiqi
    Zhou, Shaomin
    Yin, Binbin
    Bai, Xiaoxia
    Zhu, Bo
    BMC PREGNANCY AND CHILDBIRTH, 2024, 24 (01)
  • [3] Predictive value of maternal serum placental growth factor levels for discordant fetal growth in twins: a retrospective cohort study
    Shuai Li
    Kaiqi Wu
    Shaomin Zhou
    Binbin Yin
    Xiaoxia Bai
    Bo Zhu
    BMC Pregnancy and Childbirth, 24
  • [4] Systemic Inflammatory Response Index, a Potential Inflammatory Biomarker in Disease Severity of Myasthenia Gravis: A Pilot Retrospective Study
    Huang, Suwen
    Wang, Yanchu
    Zhu, Jinrong
    Li, Shengqi
    Lin, Shenyi
    Xie, Wei
    Chen, Siyao
    Wang, Yukai
    Wang, Lingsheng
    Jin, Qiaoqiao
    Weng, Yiyun
    Yang, Dehao
    JOURNAL OF INFLAMMATION RESEARCH, 2024, 17 : 2563 - 2574
  • [5] Development of a multiomics model for identification of predictive biomarkers for COVID-19 severity: a retrospective cohort study
    Byeon, Seul Kee
    Madugundu, Anil K.
    Garapati, Kishore
    Ramarajan, Madan Gopal
    Saraswat, Mayank
    Kumar, Praveen M.
    Hughes, Travis
    Shah, Rameen
    Patnaik, Mrinal M.
    Chia, Nicholas
    Ashrafzadeh-Kian, Susan
    Yao, Joseph D.
    Pritt, Bobbi S.
    Cattaneo, Roberto
    Salama, Mohamed E.
    Zenka, Roman M.
    Kipp, Benjamin R.
    Grebe, Stefan K. G.
    Singh, Ravinder J.
    Akha, Amir A. Sadighi
    Algeciras-Schimnich, Alicia
    Dasari, Surendra
    Olson, Janet E.
    Walsh, Jesse R.
    Venkatakrishnan, A. J.
    Jenkinson, Garrett
    O'Horo, John C.
    Badley, Andrew D.
    Pandey, Akhilesh
    LANCET DIGITAL HEALTH, 2022, 4 (09): : E632 - E645
  • [6] Predictive Significance of Systemic Immune-Inflammation Index in Patients with Breast Cancer: A Retrospective Cohort Study
    Zhou, Yunxiang
    Guo, Xianan
    Shen, Lu
    Liu, Kexin
    Sun, Qunan
    Wang, Yali
    Wang, Hui
    Fu, Wenyu
    Yao, Yihan
    Wu, Shijie
    Chen, Huihui
    Qiu, Jili
    Pan, Tao
    Deng, Yongchuan
    ONCOTARGETS AND THERAPY, 2023, 16 : 939 - 960
  • [7] Role of Systemic Immune-Inflammation Index, Systemic Inflammation Response Index, and Pan-Immune Inflammation Value in the Prediction of Preeclampsia: A Retrospective Cohort Study
    Ozkan, Sadullah
    Dereli, Murat Levent
    Firatligil, Fahri Burcin
    Kurt, Dilara
    Kurt, Ahmet
    Sucu, Serap Topkara
    Sucu, Sadun
    Celen, Sevki
    Engin-Ustun, Yaprak
    AMERICAN JOURNAL OF REPRODUCTIVE IMMUNOLOGY, 2024, 92 (06)
  • [8] Seasonal variability of vitamin D status in patients with inflammatory bowel disease - A retrospective cohort study
    Janssen, Christine Elisabeth
    Globig, Anna Maria
    Grawitz, Andrea Busse
    Bettinger, Dominik
    Hasselblatt, Peter
    PLOS ONE, 2019, 14 (05):
  • [9] The Association between Serum Vitamin D Concentration and New Inflammatory Biomarkers-Systemic Inflammatory Index (SII) and Systemic Inflammatory Response (SIRI)-In Patients with Ischemic Heart Disease
    Dziedzic, Ewelina A.
    Gasior, Jakub S.
    Tuzimek, Agnieszka
    Dabrowski, Marek
    Jankowski, Piotr
    NUTRIENTS, 2022, 14 (19)
  • [10] Evaluation of Psoriasis Area and Severity Index as a Proxy for Biomarkers of Systemic Disease under Treatment with Tumour Necrosis Factor-alpha and Interleukin 12/23 Antagonists in Patients with Psoriasis: A Retrospective Cohort Study of 186 Treatment Cycles
    Hoffmann, Jochen H. O.
    Knoop, Christian
    Schakel, Knut
    Enk, Alexander H.
    Hadaschik, Eva N.
    ACTA DERMATO-VENEREOLOGICA, 2021, 101