Development Of Preeclampsia In Pregnant Women Research Articles

Glucose variability as the risk factor of preeclampsia in pregnant patients with type 1 diabetes mellitus

Objective To analyze glucose variability and investigate its role as a predictor for preeclampsia development in pregnant women with type 1 diabetes mellitus (T1DM) with various insulin therapy regimens. Methods A total of 200 pregnant women with T1DM were included in the study. A hundred women used continuous subcutaneous insulin infusion (CSII), and the rest of the group was administered with multiple daily insulin injections (MDI). Continuous glucose monitoring (CGM), index calculation of glucose variability (MAGE, MODD, CONGA, and CV), assessment of preeclampsia frequency and severity were conducted. Results The work results show the link between the severity rate of preeclampsia and the duration of T1DM as well as the level of HbA1c before and during pregnancy. The rate of preeclampsia in the group of women, using CSII comprises 26.8% of cases that appear less than in the group of those, administered with MDI that is 46.6% (χ 2 = 5.45; р < .05). A negative correlation is defined between pathological glucose variability and gestational age when preeclampsia occurs. A negative correlation was also revealed between MODD, CV, and the time for the detection of preeclampsia: r = −0.30, r = −0.24, respectively. The study illustrates the correlation obtained between preeclampsia and glucose variability and the value of MAGE, MODD, CV, and SD. Preeclampsia development is affected by the duration of hyperglycemic conditions in the third trimester of pregnancy. The data in the group of women using MDI marks the early development of preeclampsia on the 33.0 [32–34] week of pregnancy compared to the group of women practicing CSII on 35.5 [33–36] week of pregnancy (Z = 5.4; p < .001). The increase of risk of preeclampsia development is proved in pregnant patients with T1DM when the hyperglycemic condition lasts more than 25% of a 24-h period according to the rate of CGM and measurements of glucose variability MODD > 1.07 and CONGA > 3.39. Conclusion Comprehensive evaluation of the glycemic profile while using CGM revealed a correlation between pathological glucose variability and the frequency and severity of preeclampsia thus proving the benefits of CSII in pregnant patients with T1DM to perform glycemic targets and decrease glucose variability, which eventually led to the decrease of preeclampsia frequency in this group of women.

Possibilities for predicting preeclampsia development in pregnant women with bronchial asthma

Hypothesis/aims of study. Currently, preeclampsia is one of the most pressing problems of obstetrics due to the complexity of pathogenesis and to the lack of early and reliable diagnostic criteria. The preeclampsia rate in patients with bronchial asthma is proved higher than in asthma free pregnant women. This study aimed to establish the prediction algorithm of preeclampsia development in in pregnant women suffering from bronchial asthma of varying severity and different level of control.&#x0D; Study design, materials and methods. Asthma duration was studied in 110 pregnant women using the SPSS Discriminant Function Analysis method. Basic therapy and level of asthma control were studied together with respiratory tests, obstetrician medical history, and complications of the first and second trimesters of pregnancy. In addition, serum interleukin panel was assessed and placental Doppler measurement was carried out.&#x0D; Results. Clinical and statistical analysis made it possible out of 87 significant risk factors for the development of hypertensive disorders and preeclampsia to form a highly informative set of signs for a linear discriminant model for predicting preeclampsia: 1) asthma exacerbation in the first trimester of pregnancy; 2) asthma duration severity; 3) average dose of inhaled glucocorticosteroid drugs administered to the exact patient during pregnancy; 4) serum levels of tumor necrosis factor, interferon gamma, and interleukins-4, 6, and 8.&#x0D; Conclusion. The inclusion method of step-by-step discriminant analysis allowed establishing a highly informative four-component complex of clinical predictors for preeclampsia development in pregnant women with asthma. The results of the model testing showed its extremely high reliability (up to 100% within study selection as well as within control selection). Thus, the study results can be recommended for clinical use.

New approaches to the prognosis of pre-eclampsia in pregnant woman

Objective: development and evaluation of the effectiveness of the method for predicting pre-eclamapsia in pregnant women by testing thrombophilia genes, measuring the levels of antibodies to β2 glycoprotein-1, D-dimer and coefficient of atherogenicity.Materials and methods: This retrospective, case-control study was conducted on 156 patients who were in third trimester of pregnancy: 112 with PE and 44 healthy normotensive pregnant women. A combined approach to the prognosis of preeclampsia which is based on the level of D-dimer (immunоturbodimetric analysis), the value of the atherogenicity coefficient, the number of antibodies to β2 glycoprotein-1 (ELISA-analysis), the presence of polymorphism 455 G → A in the gene of fibrinogen β and 675 4G/5G in the gene of the plasminogen activator inhibitor type 1 (PCR) was proposed.Results: It was established that the sensitivity of the proposed prognostic model was 82.5 % (95 % CI 74.2-88.9 %), specificity 90.9 % (95 % CI 78.3-97.5 %). The model takes into account the role in pre-eclampsia development not only of each individual factor, but also of their combination. Approbation of the prognostic model in the group of pregnant women in the first trimester of pregnancy showed its high efficacy: the incidence of PE in the group with a predicted low risk of developing PE was 2.5 % versus 57.1 % in the group with a predictable high risk (p<0.05).Conclusions. The proposed model has good prognostic features, which allow assessing the risk of pre-eclampsia development in pregnant women with high probability beginning from first trimester of pregnancy.

Molecular association of pathogenetic contributors to pre-eclampsia (pre-eclampsia associome).

BackgroundPre-eclampsia is the most common complication occurring during pregnancy. In the majority of cases, it is concurrent with other pathologies in a comorbid manner (frequent co-occurrences in patients), such as diabetes mellitus, gestational diabetes and obesity. Providing bronchial asthma, pulmonary tuberculosis, certain neurodegenerative diseases and cancers as examples, we have shown previously that pairs of inversely comorbid pathologies (rare co-occurrences in patients) are more closely related to each other at the molecular genetic level compared with randomly generated pairs of diseases. Data in the literature concerning the causes of pre-eclampsia are abundant. However, the key mechanisms triggering this disease that are initiated by other pathological processes are thus far unknown. The aim of this work was to analyse the characteristic features of genetic networks that describe interactions between comorbid diseases, using pre-eclampsia as a case in point.ResultsThe use of ANDSystem, Pathway Studio and STRING computer tools based on text-mining and database-mining approaches allowed us to reconstruct associative networks, representing molecular genetic interactions between genes, associated concurrently with comorbid disease pairs, including pre-eclampsia, diabetes mellitus, gestational diabetes and obesity. It was found that these associative networks statistically differed in the number of genes and interactions between them from those built for randomly chosen pairs of diseases. The associative network connecting all four diseases was composed of 16 genes (PLAT, ADIPOQ, ADRB3, LEPR, HP, TGFB1, TNFA, INS, CRP, CSRP1, IGFBP1, MBL2, ACE, ESR1, SHBG, ADA). Such an analysis allowed us to reveal differential gene risk factors for these diseases, and to propose certain, most probable, theoretical mechanisms of pre-eclampsia development in pregnant women. The mechanisms may include the following pathways: [TGFB1 or TNFA]-[IL1B]-[pre-eclampsia]; [TNFA or INS]-[NOS3]-[pre-eclampsia]; [INS]-[HSPA4 or CLU]-[pre-eclampsia]; [ACE]-[MTHFR]-[pre-eclampsia].ConclusionsFor pre-eclampsia, diabetes mellitus, gestational diabetes and obesity, we showed that the size and connectivity of the associative molecular genetic networks, which describe interactions between comorbid diseases, statistically exceeded the size and connectivity of those built for randomly chosen pairs of diseases. Recently, we have shown a similar result for inversely comorbid diseases. This suggests that comorbid and inversely comorbid diseases have common features concerning structural organization of associative molecular genetic networks.