Integrative Analysis of Multi-Omics and Genetic Approaches-A New Level in Atherosclerotic Cardiovascular Risk Prediction.

Genetics and environmental and lifestyle factors deeply affect cardiovascular diseases, with atherosclerosis as the etiopathological factor (ACVD) and their early recognition can significantly contribute to an efficient prevention and treatment of the disease. Due to the vast number of these factors, only the novel "omic" approaches are surmised. In addition to genomics, which extended the effective therapeutic potential for complex and rarer diseases, the use of "omics" presents a step-forward that can be harnessed for more accurate ACVD prediction and risk assessment in larger populations. The analysis of these data by artificial intelligence (AI)/machine learning (ML) strategies makes is possible to decipher the large amount of data that derives from such techniques, in order to provide an unbiased assessment of pathophysiological correlations and to develop a better understanding of the molecular background of ACVD. The predictive models implementing data from these "omics", are based on consolidated AI best practices for classical ML and deep learning paradigms that employ methods (e.g., Integrative Network Fusion method, using an AI/ML supervised strategy and cross-validation) to validate the reproducibility of the results. Here, we highlight the proposed integrated approach for the prediction and diagnosis of ACVD with the presentation of the key elements of a joint scientific project of the University of Milan and the Almazov National Medical Research Centre.

Prevalence and relationship between metabolic syndrome and risk of cardiovascular disease: Evidence from two population-based studies.

BACKGROUND AND AIM: The metabolic syndrome (MetS) has become one of the most important clinical issues in the cardiovascular field for this decade because of the marked increase in cardiovascular (CV) risk associated with a clustering of risk factors. The aim of the current study was to evaluate the relationship between MetS and its components and cardiovascular disease (CVD). METHODS: This population-based cross-sectional study was based on data from two studies carried out in Russia (ESSE-RF) and Italy (PLIC). One sample from each cohort was selected, matching individuals by sex and age. A comparison between samples of MetS components distribution and CV risk, according to SCORE chart, has been conducted. RESULTS: A total of 609 individuals (mean [SD] age 55 [8] years, about 39% males) for each cohort were selected. Almost half of PLIC cohort participants belonged to the moderate CV risk group (47% vs 27%), while in ESSE-RF cohort a relatively higher prevalence of individuals classified in the high and very high risk group was observed (19% vs 11%, 21% vs 6%, respectively). Overall, 43% of ESSE-RF participants were diagnosed with MetS, compared with the 27% of PLIC members (the difference in prevalence becomes 37% vs 21%, considering a more conservative cut-off for waist circumference). Both cohorts showed a trend towards the increase of MetS components moving from the lowest to the highest CV risk class, with a high prevalence of patients with four or five MetS determinants allocated in the high/very high CV risk group. CONCLUSIONS: Developing effective public health strategies for the prevention, detection and treatment of MetS should be an urgent priority to reduce the burden of CVD, not only in subjects at high/very high CV risk, but also in those characterized by a lower risk, as even rare CV events that come from low risk group bring a tangible burden to healthcare systems.

Lipid Clinics Network. Rationale and design of the EAS global project.

The evidence of the causal role of low-density lipoprotein cholesterol in the development of atherosclerotic cardiovascular disease is well-established. The clearly identified common position of the European guidelines proclaims necessity to decrease LDL-C concentrations based on a proper risk stratification. However, current worldwide situation with the lipid management still demonstrates inadequate dyslipidemia control, that is probably related to a healthcare system issues. As the need to standardize and implement approaches following the guidelines into clinical practice remains a challenge, the EAS initiates the Lipid Clinics Network project, aiming to provide a structure to establish uniform EU-wide standards of diagnosis, management and treatment of patients with lipid disorders, based on the ESC/EAS Guidelines on management of dyslipidaemias.

Epidemiology of cardiovascular risk factors in two population-based studies.

We aimed to compare cardiovascular risk factors prevalence in Italy and Russia through cross-sectional database analysis. The study has been based on data from ESSE-RF and from baseline of PLIC study, two population-based epidemiological studies aimed to investigate prevalence of risk factors and evaluating contribution of traditional and new risk factors into morbidity and cardiovascular mortality. A total of 2203 patients with left and right intima-media thickness (IMT) measurements constituted the source population (1205 from PLIC study and 998 from ESSE-RF study). Sample of ESSE-RF study had slightly more diabetic and hypertensive individuals, while the percentage of subjects with high cholesterol value was lower than in the other sample (67.1% vs 79.9%). The median LDL-C value was higher among individuals not treated with statins in the PLIC sample (p < 0.001), while was comparable among subjects receiving statin therapy. On the other hand, the percentage of individuals with positive cardiovascular history was higher in ESSE-RF sample. This could also explain the higher mean IMT value (0.71 ±â€¯0.17 vs 0.63 ±â€¯0.13) in the whole sample, and among patients without past cardiovascular events (regardless of statin treatment), despite some differences in major risk factors. Despite Russian and Italian populations are culturally and geographically different, they are not so different based on characteristics analyzed.