Comparative analysis of serum concentrations of chorionic gonadotropin (hCG) associated with the pregnancy of plasma protein A (PAPP-A) and alpha-fetoprotein (AFP), based on the results of a survey of women as part of a standard screening program (the results were expressed as a MoM - multiply of the median), found a significant increase in the performance of all the studied specific pregnancy proteins in women with a scar on the uterus and placenta acctera (75 patients) compared with the data of the group of pregnant women without scar on the uterus and without abnormalities of attachment of the placenta (150 women). AFP indices were 1.68 ± 0.76 and 1.19 ± 0.43 MoM (p = 0.0018), hCG - 1.62 ± 1.48 and 1.23 ± 0.76 MoM (p = 0, 0112), PAPP-A - 1.93 ± 1.24 and 1.23 ± 0.67 MoM (p <0.0001). Using the ROC analysis, the diagnostic thresholds for the concentrations of AFP, hCG and PAPP-A were calculated. The risk of placenta accreta in women with a scar on the uterus in cases of exceeding the diagnostic threshold of AFP concentration (1.64 MoM) increased 2.5 times (RR = 2.5; 95% CI 1.17-5.36, p = 0, 0185), hCG (1.41 MoM) - 1.6 times (RR = 1.59; 95% CI 1.09-2.32, p = 0.0147), PAPP-A (1.41 MoM) - 2.65 times (RR = 2.65; 95% CI 1.76-3.99, p <0.0001). Determination of the level of specific pregnancy proteins can be used in the system of complex prediction of placental growth in pregnant women with a scar on the uterus as an addition to the assessment of clinical and anamnestic risk factors.
Aim: to identify the risk factors for gestational diabetes mellitus (GDМ) and predictors of perinatal lesions of central nervous system (CNS) combined with GDМ and maternal obesity.Materials and Methods. А retrospective observational case-control non-combined study was conducted to determine GDМ risk factors and their effect on perinatal pathology in 250 women divided into 2 groups. The main group included 150 pregnant women diagnosed with GDМ, the control group – 100 pregnant women without carbohydrate metabolism disorders. An assessment of hereditary, obstetric and gynecological history, as well as somatic health was carried out. Patients from the main group were subdivided into smaller groups: 1А (n = 77) – mothers whose newborns postnatally exerted adverse perinatal outcomes associated with impacting maternal hyperglycemia, and 1В (n = 73) – mothers whose newborns were born healthy. CHAID method (Chi Squared Automatic Interaction Detection) was used to create an algorithm for predicting adverse perinatal outcomes in GDМ. Аt the second stage, a single-center prospective observational non-combined cohort study was conducted to assess an effect of maternal hyperglycemia on formation of perinatal CNS lesions. Pre-labor concentration of neuron-specific enolase (NSE) was measured in the amniotic fluid of full-term fetuses in the group of pregnant women with GDM (n = 33) and in the group of pregnant women lacking carbohydrate metabolism disorders (n = 42).Results. Obesity, late reproductive age, family history of type 2 diabetes mellitus, abortions, early reproductive losses, macrosomic delivery in history are the main risk factors for GDM development. An algorithm was developed that allowed to predict a risk of newborn perinatal pathology in mother with GDM with an overall percentage of correct predictions of 68.7 ± 3.8 %. Pre-labor concentration of NSE in the amniotic fluid of full-term fetuses was elevated by 1.68 times (p = 0.006) in women with combined GDM and obesity (5.56 [3.37–6.24] ng/ml) compared to pregnant women with normal weight lacking carbohydrate metabolism disorders (3.29 [1.49–4.89] ng/ml).Conclusion. Pregnant women with obesity and type 2 diabetes mellitus familial history were featured with most prominent potential of developing perinatal complications. Rise in amniotic fluid NSE level in patients with GDМ corroborates damage of fetal CNS during antenatal period. The maximum NSE level was found in women comorbid with GDM and obesity.
AIM: This study was aimed to determine predictors of severe lesions of the central nervous system in newborns from mothers with preterm labor complicated by premature rupture of membranes, and to develop a model for predicting adverse outcomes based on clinical data and biochemical markers. MATERIALS AND METHODS: At the first, retrospective, stage of the study, in order to determine clinical predictors of severe cerebral injury, we studied anamnesis data and features of pregnancy and delivery in 101 patients with premature rupture of membranes, expectant management tactics and subsequent delivery at 2633.6 weeks of gestation. At the second stage, in the prospective study, which included 33 patients, we evaluated the level of neuron-specific enolase in the amniotic fluid and determined its diagnostic significance as a predictor of severe lesions of the nervous system. RESULTS: The following factors were determined as clinical predictors of severe cerebral ischemia in premature infants: delivery time, duration of the latency period, the proportion of stab leukocytes in the leukocyte formula, and the presence of funiculitis in the histological examination of the placenta. A prognostic model with sensitivity of 98% and specificity of 80%, including clinical predictors and neuron-specific enolase, was developed. CONCLUSIONS: Prediction of severe cerebral ischemia and correction of the latency period allows for improving perinatal outcomes in premature infants and starting rehabilitation measures after birth in a timely manner.
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