Lastly, the accuracy of preeclampsia occurrence and severity prediction provided by using an algorithm based on the combination of sFlt-1/PlGF ratio and mean uterine PI and RI cutoffs proved to be superior when compared to the accuracy of disease prediction provided by traditional medical history and clinical risk factors (mentioned in the Introduction section): out of 100 pregnant women initially enrolled in the study, judged by traditional risk factors for the disease, only 26 women later developed preeclampsia, corresponding to a sensitivity of 26%. This evidence concerns the gene PGF and preeclampsia.