Cabunac, Petar (57217221000)Petar (57217221000)CabunacKaradžov Orlić, Nataša (41561546900)Nataša (41561546900)Karadžov OrlićArdalić, Daniela (6506626952)Daniela (6506626952)ArdalićDamnjanović Pažin, Barbara (35490278400)Barbara (35490278400)Damnjanović PažinStanimirović, Srđan (57217220421)Srđan (57217220421)StanimirovićBanjac, Gorica (57206189040)Gorica (57206189040)BanjacStefanović, Aleksandra (15021458500)Aleksandra (15021458500)StefanovićSpasojević- Kalimanovska, Vesna (6602511188)Vesna (6602511188)Spasojević- KalimanovskaEgić, Amira (12773957600)Amira (12773957600)EgićRajović, Nina (57218484684)Nina (57218484684)RajovićMilić, Nataša (7003460927)Nataša (7003460927)MilićMiković, Željko (7801694296)Željko (7801694296)Miković2025-06-122025-06-122021https://doi.org/10.1080/10641955.2021.1921791https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106041198&doi=10.1080%2f10641955.2021.1921791&partnerID=40&md5=9e429ecedfc15ed14d405187b5e30c69https://remedy.med.bg.ac.rs/handle/123456789/4504OBJECTIVE: 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. © 2021 Informa UK Limited, trading as Taylor & Francis Group.FMFPreeclampsiascreening