Developing a new algorithm for first and second trimester preeclampsia screening in twin pregnancies

Hypertens Pregnancy. 2017 Feb;36(1):108-115. doi: 10.1080/10641955.2016.1242605. Epub 2016 Nov 11.

Abstract

Objectives: Construct a new preeclampsia predicting algorithm in twins.

Methods: Twins sampled at 10-13 and 16-20 gestational weeks and their marker values were log transformed into multiples of the gestation-specific medians (MoMs) for singletons and entered into a new logistic regression model with/without prior risk factors.

Results: The cohort included 9 PE (18 samples) and 96 unaffected cases (175 samples) twin pregnant women. The algorithm constructed of PlGF, PAPP-A, PP13, Doppler UTPI, and MAP with prior risk factors generated an area under the curve of 0.918, 75% detection rate for 10% false-positive rate.

Conclusions: The algorithm effectively forecasted twin risk to develop PE.

Keywords: Doppler UTPI; MAP; PAPP-A; PP13; PlGF.

MeSH terms

  • Adult
  • Algorithms
  • Biomarkers / blood
  • Female
  • Galectins / blood
  • Gestational Age
  • Humans
  • Placenta Growth Factor / blood
  • Pre-Eclampsia / blood
  • Pre-Eclampsia / diagnosis*
  • Pre-Eclampsia / diagnostic imaging
  • Pregnancy
  • Pregnancy Proteins / blood
  • Pregnancy Trimester, First*
  • Pregnancy Trimester, Second*
  • Pregnancy, Twin*
  • Pregnancy-Associated Plasma Protein-A / metabolism
  • Ultrasonography, Doppler
  • Ultrasonography, Prenatal

Substances

  • Biomarkers
  • Galectins
  • LGALS13 protein, human
  • Pregnancy Proteins
  • Placenta Growth Factor
  • Pregnancy-Associated Plasma Protein-A