| Autor: |
Karina Bilda de Castro Rezende, MD, PhD, Rita G. Bornia, MD, PhD, Daniel L. Rolnik, MD, PhD, MPH, Joffre Amim, Jr., MD, PhD, Luiza P. Ladeira, MD, Valentina M.G. Teixeira, MS, Antonio Jose L.A. da Cunha, MD, PhD, MPH |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
AJOG Global Reports, Vol 4, Iss 2, Pp 100346- (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2666-5778 |
| DOI: |
10.1016/j.xagr.2024.100346 |
| Popis: |
BACKGROUND: The current version of the Fetal Medicine Foundation competing risks model for preeclampsia prediction has not been previously validated in Brazil. OBJECTIVE: This study aimed (1) to validate the Fetal Medicine Foundation combined algorithm for the prediction of preterm preeclampsia in the Brazilian population and (2) to describe the accuracy and calibration of the Fetal Medicine Foundation algorithm when considering the prophylactic use of aspirin by clinical criteria. STUDY DESIGN: This was a cohort study, including consecutive singleton pregnancies undergoing preeclampsia screening at 11 to 14 weeks of gestation, examining maternal characteristics, medical history, and biophysical markers between October 2010 and December 2018 in a university hospital in Brazil. Risks were calculated using the 2018 version of the algorithm available on the Fetal Medicine Foundation website, and cases were classified as low or high risk using a cutoff of 1/100 to evaluate predictive performance. Expected and observed cases with preeclampsia according to the Fetal Medicine Foundation–estimated risk range (≥1 in 10; 1 in 11 to 1 in 50; 1 in 51 to 1 in 100; 1 in 101 to 1 in 150; and |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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