Idiopathic inflammatory demyelining diseases: optimization of early diagnosis, predictors of the course

Abstract

Objective: to describe the clinical and epidemiological features of idiopathic inflammatory demyelinating diseases and to determine the factors influencing their course. 
Materials and methods: the study included 803 patients with idiopathic inflammatory demyelinating diseases using patient questionnaires and scales, laboratory and instrumental research methods. Statistical processing of the results was carried out using a point biserial coefficient and programs for analyzing large data arrays and machine learning. 
Results: a dynamic increase in the prevalence of some forms of idiopathic inflammatory demyelinating diseases was revealed, the difficulties of differential diagnosis of rare forms of demyelination and the need to create a unified version of their classification are reflected. In the studied population, the effectiveness of liquorological examination in the diagnosis of multiple sclerosis in the early stages of the disease was shown. It has been shown that the likelihood of developing highly active multiple sclerosis is influenced by both a genetic factor and concomitant inflammatory, allergic and autoimmune diseases, surgical interventions, dietary habits, childhood infections, and a history of pregnancy. 
Conclusions: given the complexity of the differential diagnosis of idiopathic inflammatory demyelinating diseases and the appointment of modifying therapy in multiple sclerosis in the early stages, it is necessary to create a combined classification and maintain a common register.