4.4 Article

Nested Case-Control Study of Corin Combined with sFlt-1/PLGF in Predicting the Risk of Preeclampsia

期刊

INTERNATIONAL JOURNAL OF GENERAL MEDICINE
卷 14, 期 -, 页码 2313-2320

出版社

DOVE MEDICAL PRESS LTD
DOI: 10.2147/IJGM.S297344

关键词

preeclampsia; Corin; soluble vascular endothelial growth factor receptor-1; placental growth factor; prediction

资金

  1. Medical Health Science and Technology Project of Shandong Province [2017WS733]
  2. TCM Science and Technology Project of Shandong Province [2019-0118]
  3. Science and Technology Project of Shandong Provincial Health Care Technology Association [SDBJKT20170004]
  4. Shandong University of traditional Chinese medicine research and innovation team project [2018-10]

向作者/读者索取更多资源

The addition of Corin to sFlt-1, PLGF, and sFlt-1/PLGF can improve the predictive ability of each marker for pre-eclampsia risk. Corin in combination with sFlt-1/PLGF can be used as ideal markers to identify pregnant women at risk of developing pre-eclampsia, aiding in risk stratification and treatment management.
Background: Preeclampsia (PE), a serious pregnancy disorder, is responsible for maternal and fetal mortality worldwide. At present, numerous candidate biomarkers have been studied to predict PE. Objective: To explore the role of Corin in PE risk prediction and then evaluate the predictive ability of soluble vascular endothelial growth factor receptor-1 (sFlt-1), placenta growth factor (PLGF), and sFlt-1/PLGF after the addition of Corin. Methods: A total of 135 pregnant women from Affiliated Hospital of Shandong University of Traditional Chinese Medicine participated in this study in their first trimester. A nested case-control study was conducted and all subjects were divided into PE groups (n=46) and controls (n=89). The levels of PLGF, sFlt-1, sFlt-1/PLGF ratio, and Corin of the two groups at 12-16 weeks of gestation were measured and analyzed. Receiver operating characteristic (ROC) curve, net reclassification index (NRI) and integrated discrimination index (IDI) were calculated to evaluate the predictive ability of various biomarkers. Results: The concentrations of sFlt-1, sFlt-1/PLGF, and Corin in PE group were significantly higher than that in controls, while the concentration of PLGF in the PE group was lower. The area under curve (AUC) of sFlt-1, PLGF and sFlt-1/PLGF for predicting PE was 0.786, 0.719 and 0.866, respectively. Combined with Corin, the prediction ability of the above biomarkers could be improved to 0.876, 0.847, and 0.897, respectively. Corin in combination with sFlt-1/PLGF resulted in improvements with 12.6% being reclassified and a resulting NRI of 0.142 (0.020 similar to 0.263) and IDI of 0.087 (0.037 similar to 0.137). Conclusion: The addition of Corin to sFlt-1, PLGF and sFlt-1/PLGF can improve the ability of each marker to predict PE risk. Corin in combination with sFlt-1/PLGF can be used as ideal markers to identify the pregnant women who subsequently develop PE, which will help in risk stratification and better therapeutic management.

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