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

Hypertens Pregnancy. 2021 Aug;40(3):171-179. doi: 10.1080/10641955.2021.1921791. Epub 2021 May 12.

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.

Keywords: FMF; Preeclampsia; screening.

MeSH terms

  • Adult
  • Algorithms
  • Biomarkers / blood
  • Cohort Studies
  • Female
  • Humans
  • Longitudinal Studies
  • Placenta Growth Factor / blood*
  • Placenta Growth Factor / metabolism
  • Pre-Eclampsia / blood
  • Pre-Eclampsia / diagnosis*
  • Pregnancy
  • Pregnancy Trimesters / blood*
  • Pregnancy, High-Risk*
  • Pregnancy-Associated Plasma Protein-A / analysis
  • Pregnancy-Associated Plasma Protein-A / metabolism*
  • Prospective Studies
  • Risk Assessment
  • Vascular Endothelial Growth Factor Receptor-1 / blood*
  • Vascular Endothelial Growth Factor Receptor-1 / metabolism

Substances

  • Biomarkers
  • Placenta Growth Factor
  • FLT1 protein, human
  • Vascular Endothelial Growth Factor Receptor-1
  • Pregnancy-Associated Plasma Protein-A