How do maternal factors impact preeclampsia prediction in Brazilian population?

J Matern Fetal Neonatal Med. 2019 Apr;32(7):1051-1056. doi: 10.1080/14767058.2017.1399115. Epub 2017 Nov 16.

Abstract

Objective: To evaluate the impacts of maternal risk factors described by the Fetal Medicine Foundation's 2012 algorithm (FMF2012) in a Brazilian population. Methods: All singleton pregnancies submitted to first-trimester preeclampsia (PE) screening using the FMF2012 algorithm were considered for study inclusion. Maternal factors, recorded via a patient questionnaire, were described and compared between PE outcome groups. A Gaussian regression model was derived to measure the effects of maternal factors, and to identify factors that contributed significantly (p < .05) to the alteration of gestational age at delivery, in pregnancies with PE. Results: Of the 1934 cases considered for study inclusion, the final sample consisted of 1531 cases. The sample included 120 (7.8%) cases of PE, of which 26 (1.7%) were preterm PE (PE < 37 weeks) and 11 (0.72%) were early PE (PE < 34 weeks). The PE rate did not differ according to ethnicity, smoking, family history of PE, or use of assisted reproductive technology. Significant differences (p < .05) between the normal and PE groups in maternal age, maternal weight, previous history of PE, chronic hypertension, and types 1 and 2 diabetes were detected. Conclusions: The significance and magnitude of associations of maternal factors in our sample differed from those incorporated in the FMF2012 model, implying the need to derive a fitted model for our population.

Keywords: First trimester screening; maternal history; preeclampsia; risk factors.

MeSH terms

  • Adult
  • Algorithms
  • Brazil / epidemiology
  • Female
  • Humans
  • Pre-Eclampsia / diagnosis
  • Pre-Eclampsia / epidemiology*
  • Pregnancy
  • Pregnancy Trimester, First
  • Risk Factors
  • Young Adult