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Epidemiological profile of systemic sclerosis in the southeast region of Romania. | LitMetric

AI Article Synopsis

  • Systemic sclerosis (SSc) is a rare autoimmune disease characterized by skin and internal organ fibrosis and has been increasing in incidence over the last two decades.
  • The study focused on the epidemiological profile of SSc in southeast Romania, revealing a higher prevalence in women, particularly those with the diffuse form, and a majority of patients originating from urban areas.
  • The findings highlight SSc's significant impact on patients' quality of life, suggesting the need for further research to understand epidemiological patterns internationally and explore experimental models for future studies.

Article Abstract

Systemic sclerosis (SSc) is a collagenosis, in which the microvasculature of the skin and internal organs becomes affected, followed by excessive deposition of connective tissue. It has been included in the group of rare diseases, and it seems to have had an increasing incidence over the last two decades. Statistics show, not only an increase in the incidence of SSc, but that of autoimmune diseases as a whole. The present study aimed to outline the epidemiological profile of SSc in the southeast region of Romania and to identify similarities and differences concerning the epidemiology of this disease in other countries. The current observational study was carried out on a group of 22 patients who were diagnosed with SSc and who were hospitalized at a university clinic in Bucharest. Our research revealed a higher prevalence of women suffering from SSc, with higher numbers suffering from the diffuse subset of this disease. In addition, we found that the majority of patients came from urban areas. SSc has an important impact on the quality of life of patients, thus opening the opportunity for studies to be carried out on larger populations of patients in order to identify epidemiological similarities and differences in various countries, as well as finding new experimental models useful for future research.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7725015PMC
http://dx.doi.org/10.3892/etm.2020.9509DOI Listing

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