title: Prediction of preeclampsia utilizing the first trimester screening examination.
abstract: OBJECTIVE
  To derive a prediction rule for preeclampsia and early onset preeclampsia requiring delivery <34 weeks using first trimester maternal, ultrasound, and serum markers.
  
  
  METHODS
  Prospective cohort study of women enrolled at first trimester screening. Maternal history, demographics, anthropometry, ultrasound parameters, and serum analytes were compared between women with preeclampsia and normal outcome. The prediction rule was derived by Lasso logistic regression analysis.
  
  
  RESULTS
  In 2441 women, 108 (4.4%) women developed preeclampsia, and 18 (0.7%) early preeclampsia. Nulliparity, prior hypertension, diabetes, prior preeclampsia, mean arterial pressure, and the log pregnancy-associate pregnancy protein-A multiples of the median were primary risk factors. Prediction rules for preeclampsia/early preeclampsia had an area under the curve of 0.82/0.83 respectively. Preeclampsia was predicted with 49% sensitivity and early preeclampsia with 55% sensitivity for a 10% false positive rate.
  
  
  CONCLUSIONS
  First trimester prediction rules using parameters currently available at first trimester screening identify a significant proportion of women with subsequent preeclampsia.
authors.affiliation: Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Maryland School of Medicine, Baltimore, MD.
authors.forename: Ahmet A
authors.initials: AA
authors.lastname: Baschat
authors.affiliation: Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD.
authors.forename: Laurence S
authors.initials: LS
authors.lastname: Magder
authors.affiliation: Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Maryland School of Medicine, Baltimore, MD.
authors.forename: Lauren E
authors.initials: LE
authors.lastname: Doyle
authors.affiliation: Department of Obstetrics and Gynecology, Mercy Medical Center, Baltimore, MD.
authors.forename: Robert O
authors.initials: RO
authors.lastname: Atlas
authors.affiliation: Department of Obstetrics and Gynecology, MedStar Harbor Hospital, Baltimore, MD.
authors.forename: Chuka B
authors.initials: CB
authors.lastname: Jenkins
authors.affiliation: Department of Pediatrics, University of Maryland School of Medicine, Baltimore, MD.
authors.forename: Miriam G
authors.initials: MG
authors.lastname: Blitzer
mesh_terms: D000293:Adolescent; D000328:Adult; D019540:Area Under Curve; D015415:Biomarkers / Q000097:blood; D001794:Blood Pressure; D015331:Cohort Studies; D005260:Female; D006801:Humans; D006973:Hypertension / Q000453:epidemiology*; D016015:Logistic Models; D010298:Parity; D011225:Pre-Eclampsia / Q000097:blood / Q000175:diagnosis* / Q000000981:diagnostic imaging; D011247:Pregnancy; D011249:Pregnancy Complications, Cardiovascular / Q000453:epidemiology*; D011261:Pregnancy Trimester, First / Q000097:blood; D011254:Pregnancy in Diabetics / Q000453:epidemiology*; D011266:Pregnancy-Associated Plasma Protein-A / Q000378:metabolism; D011296:Prenatal Diagnosis; D011379:Prognosis; D011446:Prospective Studies; D018570:Risk Assessment; D016216:Ultrasonography, Prenatal; D055988:Uterine Artery / Q000000981:diagnostic imaging*; D055815:Young Adult
chemical_list: D015415:Biomarkers; D011266:Pregnancy-Associated Plasma Protein-A
keywords: first trimester; preeclampsia; screening