Loading…
Serum VEGF and PGF may be significant markers in prediction of severity of preeclampsia
Objective: The aim of this study evaluate the value of vascular endothelial growth factor (VEGF) and placental growth factor (PGF) serum levels in prediction of preeclampsia, severity and onset time of the disease. Methods: Twenty five placentas of pregnant women diagnosed with preeclampsia (15 seve...
Saved in:
Published in: | The journal of maternal-fetal & neonatal medicine 2016-06, Vol.29 (12), p.1987-1992 |
---|---|
Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | Objective: The aim of this study evaluate the value of vascular endothelial growth factor (VEGF) and placental growth factor (PGF) serum levels in prediction of preeclampsia, severity and onset time of the disease.
Methods: Twenty five placentas of pregnant women diagnosed with preeclampsia (15 severe preeclampsia, 10 mild preeclampsia) and peripheral venous blood samples were collected. The placental and serum levels of VEGF and PGF were measured.
Results: VEGF level was significantly higher in cases and the optimal cut-off point was calculated as 600.5 to differentiate the cases and the controls, with 64% sensitivity and 100% specificity. There was a significant increase in median serum level of VEGF in severe cases compared to the mild cases and the controls. The optimal cut-off point for VEGF was calculated as 673.5 to differentiate mild and severe cases, with 93.3% sensitivity and 90% specificity. Whereas, PGF was significantly lower in severe cases than that in the mild cases and controls. The optimal cut-off point for PGF was calculated as 16.1 to differentiate mild and severe cases, with 66.7% sensitivity and 100% specificity.
Conclusion: VEGF and PGF may be significant markers in prediction of severity of preeclampsia, and VEGF may also be valuable in prediction of preeclampsia. |
---|---|
ISSN: | 1476-7058 1476-4954 |
DOI: | 10.3109/14767058.2015.1072157 |