Laser Doppler flowmetry evaluation of skin microvascular endothelial function in patients with metabolic syndrome.

BACKGROUND: Metabolic syndrome (MetS) is associated with high cardiovascular morbidity and mortality, and endothelial dysfunction is an early pathogenetic event in the MetS. Lifestyle changes and pharmacological intervention might partly restore endothelial function in MetS. Whereas an optimal non-invasive test for endothelial dysfunction is still being sought, the aim of this study was to assess the relationship between changes in skin microvascular endothelial function, detected by Laser Doppler flowmetry, and cardiovascular risk factors (CVRFs) of patients with MetS. DESIGN AND METHODS: 3081 patients (1865 women and 1216 men, mean age 53 ± 6 years) with MetS were enrolled in the study, which was conducted during the period of 2010-2014 at Vilnius University Hospital Santaros Klinikos. Skin microvascular endothelial function was evaluated using the Laser Doppler flowmetry in combination with the post-occlusive reactive hyperaemia test. The percentage change of flow from peak to the rest flow (PF-RF) was calculated and used as the main measure of endothelial function. RESULTS: The study showed that decrease in flow-mediated dilatation reflected by PF-RF was associated with increased triglycerides (p = 0.002), male sex (p < 0.001), and diabetes (p = 0.002). Patients with quite a few CVRFs (body mass index ≥25 kg/m2, smoking, diabetes, arterial hypertension, a positive history of dyslipidaemia) had significantly lower PF-RF score than patients only with one of these risk factors (p < 0.001). CONCLUSIONS: Changes in skin microvascular endothelial function are significantly associated with most CVRFs and depend on the number of CVRFs.

Mir-1, miR-122, miR-132, and miR-133 Are Related to Subclinical Aortic Atherosclerosis Associated with Metabolic Syndrome.

Previously, miR-1, miR-122, miR-126, miR-132, miR-133, and miR-370 were found to be related to coronary artery disease (CAD) progression. However, their relationship with subclinical atherosclerosis, especially in subjects with metabolic syndrome, is unknown. Therefore, our aim was to determine their relationship with arterial markers of subclinical atherosclerosis. Metabolic syndrome subjects (n = 182) with high cardiovascular risk but without overt cardiovascular disease (CVD) were recruited from the Lithuanian High Cardiovascular Risk (LitHiR) primary prevention program. The ardio-ankle vascular index (CAVI), augmentation index normalized to a heart rate of 75 bpm (AIxHR75), aortic pulse wave velocity (AoPWV), and carotid artery stiffness were assessed. MicroRNAs (miRs) were analyzed in serum. Pearson correlation and a univariate linear regression t-test showed that miR-1, miR-133b, and miR-133a were negatively associated with CAVI mean, whereas miR-122 was positively associated. MiR-1, miR-133b and miR-133a, and miR-145 were negatively associated with AIxHR75. MiR-122 correlated negatively with AoPWV. In multivariate linear regression models, miR-133b and miR-122 predicted CAVImean, miR-133 predicted AIxHR75, and miR-122 predicted AoPWV. MiR-132 predicted right carotid artery stiffness, and miR-1 predicted left carotid artery stiffness. The addition of smoking to miR-133b and miR-122 enhanced the prediction of CAVI. Age and triglycerides enhanced the prediction of AoPWV by miR-122. A cluster of four miRs are related to subclinical atherosclerosis in subjects with metabolic syndrome. Combined, they may have a more substantial diagnostic or prognostic value than any single miR. Future follow-up studies are needed to establish their clinical relevance.

Trends in cardiovascular risk factor prevalence among Lithuanian middle-aged adults between 2009 and 2018.

BACKGROUND AND AIMS: The aim of the study was to estimate trends and differences in cardiovascular disease (CVD) risk factor prevalence among middle-aged men and women based on the data from the Lithuanian High Cardiovascular Risk (LitHiR) primary prevention program between 2009 and 2018. METHODS: A community-based cross-sectional study included men aged 40-54 years and women aged 50-64 years without overt CVD. Nationally representative data comprised 110,370 Lithuanian adults (42.4% men and 57.6% women) examined in the period 2009-2018. Prevalences of major CVD risk factors, such as dyslipidaemia, arterial hypertension, diabetes mellitus, obesity, metabolic syndrome and smoking, were assessed. RESULTS: The study showed a significant drop in the prevalence of dyslipidaemia and TC levels among men (p = 0.030 and p < 0.001) and no significant change among women (p = 0.594 and p = 0.799). The prevalence of AH significantly decreased in both gender groups (p < 0.001 in women and p < 0.001 in men). Obesity rates declined among women while it remained constant among men (p < 0.001 and p = 0.100 respectively). There was a significant decline among women and a significant increase among men in the prevalence of metabolic syndrome (p < 0.001 and p = 0.016 respectively). The prevalence of diabetes increased until 2013, after which it started decreasing in the whole group (p = 0.005). The study showed a significant increase in the percentage of smoking women (p < 0.001), although the number of smoking men remained much higher (about 40%) (p < 0.001). CONCLUSIONS: In our observational study, we have documented a high prevalence of all CVD risk factors in 2009 with a slight decrease during the period in most prevalence rates, except in dyslipidaemia and smoking levels.

Trends in Cigarette Smoking among Middle-Aged Lithuanian Subjects Participating in the Primary Prevention Program between 2009 and 2016.

Background and Objectives: The aim of the study was to evaluate trends in smoking among middle-aged men and women based on the data from the Lithuanian High Cardiovascular Risk (LitHiR) primary prevention program between 2009 and 2016. Materials and Methods: A community-based cross-sectional study comprised 92373 Lithuanian adults (41.6% men and 58.4% women). We compared the prevalence of smoking, smoking cessation activity and smoking intensity by gender and age groups. Results: There was a statistically significant upward trend in the number of smoking subjects (average annual percent change (AAPC) 2.99%, p < 0.001). The number of smoking male subjects remained much higher than the number of smoking female subjects during the 2009-2016 period. The study showed a significant increase in the percentage of smoking quitters in the whole group (AAPC 7.22%, p < 0.001) and among men and women separately. There was no significant change in smoking intensity in groups of male and female smokers separately. Conclusions: The analysis showed that the prevalence of smoking in Lithuania is still increasing due to women smoking despite all the governmental tobacco control efforts to reduce it.