Mathematical Identification of Early Prognostic Signs of Preeclampsia
https://doi.org/10.56304/S2304487X21040040
Abstract
Problems in detecting early (up to 27 weeks of pregnancy) risk signs of developing preeclampsia, which is a severe complication of pregnant women, are discussed using screening results for pregnant women in the Moscow region. Screening involves the measurement of the concentration of angio- and antiangiogenic proteins PlGF and sFlt-1 in the blood serum. These proteins are considered as preeclampsia markers in contemporary medicine. The PlGF protein stimulates the blood vessel growth in the mother’s placenta, whereas the sFLT-1 protein suppresses vascular growth. Patients are divided according to doctor’s diagnoses into three groups (classes): a control group (patients without preeclampsia), a group with a moderate complication form, and a group with a severe preeclampsia form. Integral distributions of patients on PlGF and sFLT-1 proteins are obtained. Calculated thresholds separating patient`s classes point to the possibility of detecting early preeclampsia signs. Then, the dynamics of the concentration of the PlGF and sFLT-1 proteins during the second trimester of pregnancy is investigated and is compared with the dynamics of their development for patients without preeclampsia. A prognostic rule is formulated indicating the risk of developing preeclampsia with an increase in the pregnancy period. The rule will help the treating doctor pay special attention to the treatment of patients at risk of complication.
About the Authors
V. M. Guryeva
Moscow Regional Research Institute of Obstetrics and Gynecology
Russian Federation
Russian Federation
101000
Moscow
Yu. B. Kotov
Keldysh Institute of Applied Mathematics, Russian Academy of Sciences
Russian Federation
Russian Federation
125047
Moscow
T. A. Semenova
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation
Russian Federation
115409
Moscow
A. A. Travkina
Moscow Regional Research Institute of Obstetrics and Gynecology
Russian Federation
Russian Federation
101000
Moscow
M. O. Matveev
Moscow Regional Research Institute of Obstetrics and Gynecology
Russian Federation
Russian Federation
101000
Moscow
L. S. Morokhotova
Moscow Regional Research Institute of Obstetrics and Gynecology
Russian Federation
Russian Federation
101000
Moscow
T. S. Budykina
Moscow Regional Research Institute of Obstetrics and Gynecology
Russian Federation
Russian Federation
101000
Moscow
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Review
For citations:
Guryeva V.M., Kotov Yu.B., Semenova T.A., Travkina A.A., Matveev M.O., Morokhotova L.S., Budykina T.S. Mathematical Identification of Early Prognostic Signs of Preeclampsia. Vestnik natsional'nogo issledovatel'skogo yadernogo universiteta "MIFI". 2021;10(4):338-348. (In Russ.) https://doi.org/10.56304/S2304487X21040040
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