METABOLIC SYNDROME: A LONG WAY OF EVOLUTION – FROM A FULL DENIAL TO A WORLDWIDE ACCEPTANCE PROBLEM

Abstract

In recent years, there has been a marked increase in the prevalence of obesity, type 2 diabetes, and cardiovascular disease. Also, the problem of average increasing proportion of the total incidence of humanity with chronic non-infectious diseases is often discussed. Metabolic syndrome (MS) is one of the major problems in the healthcare industry of the XXI century. This "disease of civilization", in the development of which involves urbanization, modification of the way of life, associated with hypodynamia, inappropriate nutrition, increased caloric content of food products and increased stress, is determined not only by considerable spread, but also by the progressive tendency towards "rejuvenation" of the population with this pathology. But, despite the presence of a great amount of information and results of medical researches in this field, the level of mortality from cardiovascular complications between patients  with metabolic syndrome is still high. This reveals about the necessity for further investigations about metabolic modifications and their influence on different components and searching for key answers for the questions that deal with early detection and prevention of metabolic syndrome in these patients.  Literary data about history, prevalence, clinical and pathogenetic features of metabolic syndrome components, the practical aspects of detection and treatment, including criteria for diagnosis, risk groups,  target levels of its main components and  drug correction, the relevance of in-depth study are analyzed and discussed in this article.

Incorrect lifestyle (hypodynamia, inappropriate nutrition, stress), low frequency in the diagnosis of this disease by clinicians and global growth in the prevalence of obesity, insulin resistance and diabetes mellitus type 2 make the actual problem of in-depth study of the comprehensive study of metabolic syndrome, establishment of clinical and pathogenetic features of the clusters of this disease, and development algorithms of treating patients with MS and comorbid states.