Innovative markers for the diagnosis of preeclampsia and their role in the management of treatment in obstetric practice

Abstract

The relevance of preeclampsia during pregnancy is due to its significant impact on the health of both the mother and the fetus. To explore the features of diagnosing novel markers of preeclampsia, particularly inhibin A, and assess their role in the management of treatment in obstetric practice, with an emphasis on predicting the development and severity of preeclampsia. Neural network methods were also applied to improve predictive results, particularly the decision tree model (data mining), which enabled the identification of important factors influencing the development of pathologies in pregnant women. The study highlights serious pregnancy complications in women at high risk of preeclampsia, particularly hemodynamic disorders in the uterine arteries and elevated levels of inhibin A, which may serve as an early marker for the diagnosis of preeclampsia. Women who received modified pathogenetically justified treatment showed better pregnancy outcomes compared to those receiving standard therapy. A comparison of the first and second study groups showed that women who received modified pathogenetically justified treatment had significantly better pregnancy outcomes compared to those who received standard therapy. In the high-risk group, there was a significantly higher incidence of complications, including hemodynamic disorders in the uterine arteries, the onset of preeclampsia, and preterm labor. With the development of new technologies, innovative markers have emerged that allow for early detection of this condition, enhancing the possibilities for personalized treatment.