RESUMO
Cardiovascular disease (CVD) is recognized as a leading cause of death worldwide. Obesity, dyslipidemia, insulin resistance (IR), interconnected pathological conditions constitute risk factors that are closely associated with CVD. The aim of the present study was to highlight the association of IR with cardiovascular risk (CVR). The epidemiological, cross-sectional, non-interventional study was conducted over 12 months (2019-2020) within a research grant and included a sample of 400 subjects divided into 2 subgroups: group 1 (control) subjects did not have diabetes (n=200) and group 2 had type 2 diabetes (T2DM) (n=200). The Framingham risk score (FRS) was calculated according to the 2008 general CVD risk model from the Framingham Heart Study. Subsequent to a correlation of the value of homeostasis model assessment of insulin resistance (HOMA-IR) with the degree of CVR, the IR was higher in both groups, and CVR also increased. After being quantified by the Spearman correlation coefficient, the correlation in group 2 was higher at 0.625 compared to group 1 where this coefficient had a value of 0.440. A high FRS (FRS of 20%) was significantly associated with IR. The results therefore show that HOMA-IR is an independent risk factor for high FRS. New therapies focused on decreasing IR may contribute to decreased CVD.
RESUMO
Background and Objectives: Gestational diabetes mellitus (GDM) represents one of the most common complications during pregnancy, being associated with numerous maternal and neonatal complications. The study aimed to analyze maternal and neonatal complications associated with GDM. The risk factors of GDM and of the maternal and neonatal complications were studied in order to prevent their occurrence. Materials and Methods: The study included 97 women in the study, who underwent an oral glucose tolerance test (OGTT) between weeks 24-28 of pregnancy, consequently being divided into two groups: pregnant women with and without GDM. Statistical analysis was performed using the SPSS 26.0 software and MATLAB fitglm, the results being considered statistically significant if p < 0.05. Results: We observed statistically significant differences between the group of women with and without GDM, regarding gestational hypertension (17.6% vs. 0%), preeclampsia (13.72% vs. 0%), and cesarean delivery (96.1% vs. 78,3%). Data on the newborn and neonatal complications: statistically significant differences were recorded between the two groups (GDM vs. no GDM) regarding the average weight at birth (3339.41 ± 658.12 g vs. 3122.83 ± 173.67 g), presence of large for gestational age (21.6% vs. 0%), macrosomia (13.7% vs. 0%), excessive fetal growth (35.3% vs. 0%), respiratory distress (31.4% vs. 0%), hospitalization for at least 24 h in the Neonatal Intensive Care Unit (9.80% vs. 0%), and APGAR score <7 both 1 and 5 min following birth (7.8% vs. 0%). Additionally, the frequency of neonatal hypoglycemia and hyperbilirubinemia was higher among newborns from mothers with GDM. Conclusions: The screening and diagnosis of GDM is vital, and appropriate management is required for the prevention of maternal and neonatal complications associated with GDM. It is also important to know the risk factors for GDM and attempt to prevent their appearance.
