title: Simple approach based on maternal characteristics and mean arterial pressure for the prediction of preeclampsia in the first trimester of pregnancy.
abstract: OBJECTIVE
  To propose a simple model for predicting preeclampsia (PE) in the 1st trimester of pregnancy on the basis of maternal characteristics (MC) and mean arterial pressure (MAP).
  
  
  METHODS
  A prospective cohort was performed to predict PE between 11 and 13+6 weeks of gestation. The MC evaluated were maternal age, skin color, parity, previous PE, smoking, family history of PE, hypertension, diabetes mellitus and body mass index (BMI). Mean arterial blood pressure (MAP) was measured at the time of the 1st trimester ultrasound. The outcome measures were the incidences of total PE, preterm PE (delivery <37 weeks) and term PE (delivery ≥37 weeks). We performed logistic regression analysis to determine which factors made significant contributions for the prediction of the three outcomes.
  
  
  RESULTS
  We analyzed 733 pregnant women; 55 developed PE, 21 of those developed preterm PE and 34 term PE. For total PE, the best model was MC+MAP, which had an area under the receiver operating characteristic curve (AUC ROC) of 0.79 [95% confidence interval (CI)=0.76-0.82]. For preterm PE, the best model was MC+MAP, with an AUC ROC of 0.84 (95% CI=0.81-0.87). For term PE, the best model was MC, with an AUC ROC of 0.75 (0.72-0.79). The MC+MAP model demonstrated a detection rate of 67% cases of preterm PE, with a false-positive rate of 10%, positive predictive value of 17% and negative predictive value of 99%.
  
  
  CONCLUSIONS
  The MC+MAP model showed good accuracy in predicting preterm PE in the 1st trimester of gestation.
authors.affiliation: .
authors.forename: Rebeca Silveira
authors.initials: RS
authors.lastname: Rocha
authors.affiliation: .
authors.forename: Júlio Augusto Gurgel
authors.initials: JAG
authors.lastname: Alves
authors.affiliation: .
authors.forename: Sammya Bezerra
authors.initials: SB
authors.lastname: Maia E Holanda Moura
authors.affiliation: .
authors.forename: Edward
authors.initials: E
authors.lastname: Araujo Júnior
authors.affiliation: .
authors.forename: Alberto Borges
authors.initials: AB
authors.lastname: Peixoto
authors.affiliation: .
authors.forename: Eduardo Félix Martins
authors.initials: EFM
authors.lastname: Santana
authors.affiliation: .
authors.forename: Wellington P
authors.initials: WP
authors.lastname: Martins
authors.affiliation: .
authors.forename: Camila Teixeira Moreira
authors.initials: CTM
authors.lastname: Vasconcelos
authors.affiliation: .
authors.forename: Fabricio
authors.initials: F
authors.lastname: Da Silva Costa
authors.affiliation: .
authors.forename: Mônica Oliveira Batista
authors.initials: MOB
authors.lastname: Oriá
mesh_terms: D000328:Adult; D001794:Blood Pressure; D001938:Brazil / Q000453:epidemiology; D005260:Female; D006801:Humans; D011225:Pre-Eclampsia / Q000453:epidemiology*; D011247:Pregnancy; D011261:Pregnancy Trimester, First / Q000502:physiology*; D011446:Prospective Studies
keywords: First trimester of pregnancy; maternal characteristics (MC); mean arterial pressure (MAP); prediction; preeclampsia (PE)