First trimester screening and prediction of preeclampsia by Application of Fetal Medicine Foundation Algorithm at Tanta University

Abstract

Background: Preeclampsia (PE) is a complex illness linked to conception that affects a variety of bodily functions and is usually connected with perinatal morbidity and deaths. Early PE anticipation will reduce this linked morbidity and death by allowing for routine maternal and foetal monitoring and the use of preventative measures. Aim of the work: the goal of this study is to investigate whether the measurement of maternal serum placental growth factor (PlGF) combined with uterine artery Doppler ultrasound, are useful in early predicting PE and to examine the diagnostic accuracy of the Fetal Medicine Foundation (FMF) Algorithm for the early screening and anticipation of the high- risk PE at 11-13 weeks conception in a group of pregnant women. Patients and Methods: one hundred and twenty primigravida women with living, singleton fetus at 11-13 weeks conception without risk factors other than being primigravida attending antenatal care clinic at the Department of Obstetrics and Gynecology at Tanta University Hospitals. All cases were subjected to ; A signed informed written consent, proper history taking, full clinical examination, estimation of body mass index (BMI), blood pressures and determination of mean arterial blood pressure (MAP), ultrasound, Uterine artery doppler ultrasound examination with the determination of the mean Pulsatility index (PI) of the uterine arteries. Maternal serum levels of PlGF were also measured by specific immunoassay (ELISA). The measured values of MAP, mean uterine artery pulsatility index (PI) and PlGF were converted into multiples of the median (MoM). Then the FMF model was used for the determination of patient-specific risk of PE at 11-13 weeks conception in each case. Results: The main results of the present study revealed that; Only 11 of 120 normal pregnant women were categorized as a high PE risk with a percentage of 9.2% and the rest 109 cases were low PE risk with a percentage of 90.8% by application of FMF algorithm. There was a significant difference between the high and low risks regarding the mean uterian UtA-Pi and PIGF levels at 11–13 weeks. Receiver operating characteristic curve (ROC) demonstrate to what extent it can be depended on PlGF, mean UtA-PI and MAP as a predictor for PE denoting the significant diagnostic performance for PIGF and mean uterine artery pulsatility index (PI). The optimal cutoff value of PlGF value using the ROC curve was ≤40 leading to a sensitivity of 90.91%, a specificity of 96.33%, a PPV of 71.4, a NPV of 99.1% and an accuracy of 95.83%. While the optimal cutoff measure of mean uterine artery PI value using the ROC curve was >1.91 leading to a sensitivity of 90.91%, a specificity of 96.33%, PPV of 71.4, NPV of 99.1% and an accuracy of 95.83%. Conclusion: On the basis of these results, it could be concluded that the combined measurement of maternal serum PlGF concentrations and mean PI of the uterine arteries at 11–13 weeks of conception may help to predict the high-risk PE in primigravida when other parameters of PE anticipation are normal. And The FMF screening algorithm for the high-risk PE group performing satisfactorily. PE estimated by the competing risk model incorporated in the FMF algorithm may be applicable locally, and the earlier screening in conception would allow women at a higher risk to be monitored accordingly, participate in early intervention trials, and commence prophylactic therapy.