Emonts P, Seaksan S, Seidel L, Thoumsin H, Brichant J-F, Albert A, Foidart J-M
Département de gynécologie-obstétrique, CHR de la Citadelle, université de Liège, boulevard 12e Ligne 1, 4000 Liège, Belgique.
J Gynecol Obstet Biol Reprod (Paris). 2008 Sep;37(5):469-76. doi: 10.1016/j.jgyn.2008.02.001. Epub 2008 May 16.
To derive a prediction index based on the most salient history, laboratory and clinical parameters for identifying women at high risk of developing preeclampsia (PE) and to suggest a primary prevention.
Non-pregnant women with a history of PE (n=101) were compared to non-pregnant parous women with a history of one or more successful normotensive pregnancies (n=50) but with comparable age, gestation and parity profiles. The parameters included history and clinical examination; laboratory studies (hemostasis, coagulation, vitamins); and morphological and functional tests (cardiovascular and renal functions). Stepwise logistic regression analysis was applied to develop a three step PE prediction index based on the most discriminant parameters. Strategies to prevent PE in the high-risk group are described.
Identification of women at high risk of PE can be done efficiently (88% sensitivity and specificity) using a predictive index based on a simple history, laboratory, clinical and functional information. Strategies to prevent PE in our high-risk group have given encouraging results during next pregnancy.
Our study gives a predictive index of PE outside of pregnancy and possibilities to do a primary prevention.