
Predicting the risk of anemia in pregnant women with different somatotypes
Author(s) -
Tatiana I. Tsidaeva,
Kristina G. Tomaeva,
С. Н. Гайдуков,
Н. Н. Рухляда,
Aida A. Cheldieva,
Emma G. Plieva,
Nataliia G. Salbieva
Publication year - 2020
Publication title -
pediatr
Language(s) - English
Resource type - Journals
eISSN - 2587-6252
pISSN - 2079-7850
DOI - 10.17816/ped11243-50
Subject(s) - anemia , hematocrit , hemoglobin , medicine , iron deficiency anemia , pregnancy , iron deficiency , ferritin , serum iron , gestation , gastroenterology , physiology , obstetrics , biology , genetics
The aim of the study: to study the frequency of anemia in pregnant women with different somatotypes and to develop a model for predicting the risk of this pathology.
Materials and methods. 390 women were examined. Of the women studied 110 were mаcrosomatotype, 173 mesosomatotype, and 107 microsomatotype. Somatometry was performed according to R.N. Dorokhov for women in early pregnancy (before 910 weeks of gestation). In blood test the level of hemoglobin, red blood cells, and hematocrit is determined using the Medonic M-series hematological automatic analyzer. Serum iron levels were determined colorimetrically with ferrosine. Serum ferritin levels were determined spectrophotometrically using ELISA methods.
Results. It was found that iron deficiency anemia was significantly more common in pregnant women of macro-and microsomatic body type compared to women with mesosomatotypes (p 0.05). Pregnant women with severe anemia were not found. There were iron deficiency anemia of mild and moderate severity, and latent iron deficiency. Hematological parameters (hematocrit, serum iron, serum ferritin) were significantly lower in pregnant women with latent iron deficiency compared to women without anemia (p 0.05). Using multiple regression analysis, we obtained the regression equation (formula), which predicts the development of iron deficiency anemia in pregnant women of different somatotypes.
Conclusions. The calculations according to the presented formula, allows to predict with high accuracy the prognosis of iron deficiency anemia in pregnant women, and also allows to form among patients a high-risk group for the development of this disease in the first trimester of pregnancy when the pregnant woman is registered in the womens consultation, which will contribute to more effective implementation of therapeutic and preventive measures to prevent the development of this pathology.