Aim: During diabetic pregnancy, complex metabolic changes occur in the lipid profile. The aim of the study was to determine the predictive values of maternal serum lipid levels on large-for-gestational age newborns during the third trimester in pregnancies of women with type 2 diabetes mellitus (DM2) and gestational diabetes mellitus (GDM). Material and methods: Data of forty three pregnancies of women with DM2 and two hundred women with GDM were analyzed. The analysis encompassed the following parameters: age, body mass index (BMI), lipid parameters, HbA1c in first, second and third trimester of pregnancy, preeclampsia and baby birth weight. Results: DM2 and GDM groups showed statistically significant differences in the following variables: total lipids, triglycerides, total cholesterol, BMI, age, baby birth weight, incidence of SGA and preterm delivery (9.4 ± 2.3 vs. 11.0 ± 2.3 mmol/L, 2.4 ± 1.4 vs. 3.4 ± 1.6 mmol/L, 5.5 ± 1.2 vs. 6.4 ± 1.4 mmol/L, 30.6 ± 5.4 vs. 26.9 ± 5.2 kg/m 2 , 34 ± 7.8 vs. 31.5 ± 5.6 years, 3183 ± 972 vs. 3533 ± 699 g., 20% vs. 7.5%, 27.9 vs. 14%, respectively, p < 0.05). Linear multiple regression analysis demonstrated that triglycerides, LDL-C and total cholesterol were independent predictors of LGA (p < 0.05). Conclusion: Triglycerides and LDL-C in the third trimester of pregnancy are independent predictors for fetal macrosomia in DM2 and GDM pregnancies. Thus, the maternal serum triglycerides and LDL-C levels determined in the maternal blood taken in the third trimester of pregnancy may indentify women who will give birth to LGA newborns.

Introduction: Gestational Diabetes Mellitus (GDM) is glucose intolerance diagnosed for the first time in pregnancy. It may lead to potentially serious short term and longterm complications for both mother and fetus or newborn. Material and Methods:Prospective study was conducted at the University clinic for gynecology and obstetrics, Skopje for the period of one year. 100 pregnant women in the second trimester which performed oral glucose tolerance test (75g OGTT) were evaluated. The study included 50 women with GDM and control group of 50 women with negative OGTT at the same gestational age, parity and maternal age. Gestational weight gain, blood pressure and urine analysis for proteinuria were recorded monthly. Patients with GDM were more often followed according to the clinical protocol. Maternal and neonatal data was collected after birth from medical records during discharge from the clinic. The perinatal outcome of pregnant women with or without GDM was analysed.Results: There was a significant difference in BMI between the women with GDM and normoglycemic women. Hypertensive disorders of pregnancy, preterm labour and delivery by caesarean section were significantly more often in GDM pregnancies vs control group. Respiratory distress, hypoglycemia, pH <25, lower Apgar score in the first minute and admission in the neonatal intensive care unit was significantly more often in the neonates from mothers with GDM vs controls. Conclusion:Many parameters of the perinatal outcome were significantly associated with GDM in our study. Adequate treatment can achieve better maternal and neonatal outcome.

Objectives: The coronavirus pandemic was associated with a high mortality rate in the Republic of North Macedonia. Finding early markers of the disease’s severity may predict outcomes and guide the treatment of the disease. The aim of our study was to evaluate the role of inflammatory markers in predicting the outcome of COVID-19 in hospitalized patients. Methods: The study included 104 PCR-confirmed COVID-19 patients who underwent hospital treatment at the Institute of Lung Diseases and Tuberculosis in Skopje, North Macedonia, between November 2020 and May 2021. Inflammatory markers were assessed in all patients and correlated with the disease severity and outcome in terms of survival or death. Results: IL-6 and LDH at admission were significantly elevated in patients with a severe or critical form of the disease and among non-survivors. In addition, IL-6 showed 87.9% of sensitivity and 61.8% of specificity for distinguishing non-survivors from survivors with a cut-off value of 21.7 pg/ml in the receiver operator curve (ROC). Procalcitonin was significantly increased in non-survivors. Parallel to the increase of disease severity, the values of CRP and LDH increased significantly during hospitalization. Conclusion: The results of the study indicate that a significant association exists between the highly increased levels of CRP, LDH, IL-6 and procalcitonin and the severity of the disease and mortality in COVID-19 patients. Their measurements and follow-up during the course of the disease could be used as predictors for prognosis and outcome but also as a subject for targeted therapy.

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