Acta Biomedica Scientifica (Dec 2022)
Uterine fibroid and its association with metabolic syndrome in women of reproductive age (literature review)
Abstract
Uterine fibroid is one of the most common gynecological diseases in women of reproductive age and many aspects of this disease remain the subject of investigation. In particular, the role of the metabolic syndrome is of interest as a potential predictor of uterine fibroid or a comorbid condition that has pathogenetic significance. The aim of this literature review is to systematize current data on the prevalence and associations of the metabolic syndrome and uterine fibroid in women of reproductive age. Literature search was carried out using the scientific literature databases eLIBRARY, PubMed, NCBI, CyberLeninka, and the official IDF website for the period from 2010 to 2022. In PubMed search, we used the following terms: uterine fibroid, metabolic syndrome, uterine fibroid and metabolic syndrome, uterine myoma and metabolic syndrome, uterine myoma and metabolic disorders, uterine myoma and MetS. A total of 439 sources were analized, 32 sources met the search criteria. Results. An analysis of the largest epidemiological studies conducted in recent years, both in non-selective populations and in hospital samples, demonstrates a significant prevalence of both uterine fibroid and metabolic syndrome among women. The results presented in the publications which were included in the review indicate that there is a relationship between the presence of uterine fibroid and the manifestations of the metabolic syndrome. Conclusions. Uterine fibroid and metabolic syndrome are mutually aggravating conditions. Women with uterine fibroid have a worse risk profile for cardiovascular disease, and the presence of metabolic syndrome increases the risk of uterine fibroid. One of the ways to reduce the risk of occurrence and growth of uterine fibroid is the timely correction of the metabolic syndrome and its components. On the other hand, the presence of uterine fibroid should be considered as a basis for active detection of metabolic disorders and cardiovascular risks.
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