Use of FMF algorithm for prediction of preeclampsia in high risk pregnancies: a single center longitudinal study

• Main Authors: Petar Cabunac (Author), Nataša Karadžov Orlić (Author), Daniela Ardalić (Author), Barbara Damnjanović Pažin (Author), Srđan Stanimirović (Author), Gorica Banjac (Author), Aleksandra Stefanović (Author), Vesna Spasojević- Kalimanovska (Author), Amira Egić (Author), Nina Rajović (Author), Nataša Milić (Author), Željko Miković (Author)
• Format: Book
• Published: Taylor & Francis Group, 2021-07-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Summary

OBJECTIVE: This study aimed to assess the accuracy of The Fetal Medicine Foundation (FMF) screening algorithm for the prediction of preeclampsia. METHODS: Out of 138 women with high-risk pregnancies prospectively followed, 30 developed preeclampsia. The clinical examination and biochemical measurements were performed at first, second, early and late third trimester. RESULTS: A lower PAPP-A levels were found in the first trimester, while sFlt/PlGF was increased in the second and early third trimester in preeclampsia (p>0.05). FMF algorithm presented higher specificity (>70%), but had a drawback of lower sensitivity (35-77%). CONCLUSION: FMF algorithm had modest performance in the prediction of preeclampsia for high-risk pregnancies.

Item Description

1064-1955
1525-6065
10.1080/10641955.2021.1921791