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Research Article

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

, , , , , , , , , , & show all
Pages 171-179 | Received 12 Oct 2020, Accepted 20 Apr 2021, Published online: 12 May 2021
 

ABSTRACT

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.

Disclosure statement

No potential conflict of interest was reported by the authors.

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