Statistical Analysis of the Relationship between Placenta Condition and Chronic Kidney Disease
https://doi.org/10.1134/S2304487X20020078
Abstract
The blood flow quality in placenta of pregnant women suffering from chronic kidney disease has been experimentally studied. The patients are divided into five groups (classes). Four groups represent patients with varying disease severity degrees and the fifth, control group consists of patients without kidney disease. Cross sections in 50 slices of the placental villi, which supply the fetus with blood, have been measured and summarized in a database. This database has been analyzed by non-parametric statistic methods. In each group, distributions of the capillaries over cross-sectional areas along villus, over cross-sectional areas in villi slices, over cross-sectional areas for all capillaries of group, over the summary cross-sectional areas of the capillaries, etc. have been studied. Data processing has involved the two-sample Smirnov criterion. Explicit relations have been established between the disease severity and the degree of villi vascularization. It has been shown that an increase in the severity of chronic kidney disease is accompanied by a decrease in the number of capillaries in the villus, in the cross-sectional area of capillaries, and in the total area of capillaries in villi. The results of experimental data processing are compared to our results obtained in 2017 by the logical symptoms method based on the analysis of verbal doctor conclusions. New results are consistent with previous ones.
Keywords
chronic kidney disease,
non-parametric statistics,
Smirnov criterion,
vascularization of placental villi,
villus capillaries
Supporting agencies: The work was carried out with the support of the program Improving the competitiveness of NRU MEPHI
About the Authors
Yu. B. Kotov
Keldysh Institute of Applied Mathematics, Russian Academy of Sciences
Russian Federation
Russian Federation
125047
Moscow
I. V. Barinova
Moscow Regional Research Institute of Obstetrics and Gynecology
Russian Federation
Russian Federation
101000
Moscow
I. G. Nicolskaya
Moscow Regional Research Institute of Obstetrics and Gynecology
Russian Federation
Russian Federation
101000
Moscow
T. A. Semenova
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation
Russian Federation
115409
Moscow
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Review
For citations:
Kotov Yu.B., Barinova I.V., Nicolskaya I.G., Semenova T.A. Statistical Analysis of the Relationship between Placenta Condition and Chronic Kidney Disease. Vestnik natsional'nogo issledovatel'skogo yadernogo universiteta "MIFI". 2020;9(3):262-269. (In Russ.) https://doi.org/10.1134/S2304487X20020078
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