Review Article

Preeclampsia in 2018: Revisiting Concepts, Physiopathology, and Prediction

Table 1

Preeclampsia prediction potential of biomarkers and maternal characteristics.

BiomarkerAUC (95CI)Reference

Maternal characteristics0.78 (0.71-085)Goetzinger et al. [12]

PAPP-A0.64 (0.57-0.72)Goetzinger et al.

ADAM-120,58 (0.50-0.67)Goetzinger et al.

Maternal characteristics +PAPP-A+ADAM-120.79 (0.71-0.86) Goetzinger et al.

PlGF0.61 (0.56-0.66)Myatt et al. [13, 14]

PAPP-A0.54 (0.49-0.59)Myatt et al.

ADAM-120.58 (0.53-0.63)Myatt et al.

Maternalā€‰ā€‰
characteristics+PlGF+PAPP-A+ADAM-12
0.73 (0.69-0.77)Myatt et al.

sFlt-10.54 (0.48-0.59)Myatt et al.

PP130.51 (0.46-0.56)Myatt et al.

Considered maternal characteristics: African-American ethnicity, body mass index, pregestational diabetes mellitus; Considered maternal characteristics: African-American ethnicity, body mass index, systolic blood pressure, and educational level; PAPP-A, pregnancy-associated plasma protein A; ADAM-12, A Disintegrin and Metalloprotease 12; PlGF, placental growth factor; sFlt-1, soluble fms-like tyrosine kinase 1; PP13, placental protein 13; AUC, area under the curve.