Evaluation of the effectiveness of the clinical and genetic model of preeclampsia prognosis
Abstract
The purpose of the study: to evaluate the effectiveness of a clinical and genetic model for predicting the development of preeclampsia. Materials and methods. A case-control study (continuous blind sampling method) was conducted among pregnant women who were delivered in the obstetric hospital of the Clinic of the Federal State Budgetary Educational Institution of the Ministry of Health of the Russian Federation in Chelyabinsk (sample size 100 people). The family and personal anamnesis of women, the peculiarities of the course of pregnancy and the outcomes of childbirth were studied. Anamnestic risk factors for preeclampsia, screening results at 11-13,6 weeks, measures to prevent the development of preeclampsia, and a molecular genetic study was performed. The data obtained were included in the computer program developed by us to calculate the individual risks of developing preeclampsia. Results and conclusions. To date, the search for sensitive and specific biomarkers predicting the development of preeclampsia is extremely important for identifying a high-risk group for this pathology. High sensitivity (86.7%), but rather low specificity (50.9%) was revealed when predicting the anamnestic model of preeclampsia (moderate/severe), however, when using the clinical and genetic prognosis model, its higher sensitivity (96.6%) and specificity (70%) were noted. In the clinical and genetic model of the prognosis of severe preeclampsia in patients without a history, the sensitivity was 75%, while the specificity of the model reached 100%. The use of available clinical and genetic models for predicting the development of preeclampsia is promising, and the data obtained are crucial for the prevention of preeclampsia and related complications.
About the Authors
M. G. RyabikinaRussian Federation
Chelyabinsk
E. G. Syundyukova
Russian Federation
Chelyabinsk
V. S. Chulkov
Russian Federation
Veliky Novgorod
B. I. Medvedev
Russian Federation
Chelyabinsk
T. V. Uzlova
Russian Federation
Chelyabinsk
N. M. Diner
Russian Federation
Chelyabinsk
E. Y. Kotlyarova
Russian Federation
Chelyabinsk
N. A. Filippova
Russian Federation
Chelyabinsk
K. V. Vladika
Russian Federation
Chelyabinsk
L. P. Pishchalnikova
Russian Federation
Chelyabinsk
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Review
For citations:
Ryabikina M.G., Syundyukova E.G., Chulkov V.S., Medvedev B.I., Uzlova T.V., Diner N.M., Kotlyarova E.Y., Filippova N.A., Vladika K.V., Pishchalnikova L.P. Evaluation of the effectiveness of the clinical and genetic model of preeclampsia prognosis. Title in english. 2024;19(2):3-9. (In Russ.)