Abstract
The pathogenesis of various inflammatory diseases - deep pyodermia (DP), purulent soft tissue infection (PSTI), chronic pyelonephritis (SP) and chronic oophoritis (CO) is basis in the formation of diagnostically significant changes in routine hematological parameters and indicators of immune reactivity that can be represented in the form of specific formulas. So, the typical response of routine hematological tests on inflammation in patients from 4 groups was qualitatively universal standard, leukocytosis, neutrophilia, eosinophiles, monocytosis, lymphopenia, accelerated eryt-hrocyte sedimentation rate. In quantitative terms the differences were insignificant. When DP is relatively SP recorded higher leukocytosis and neutrophilia, relatively CO significantly less monocytosis and the value of the erythrocyte sedimentation rate, patients with CO had an advantage over SP by the number of neutrophils and monocytes, patients with PSTI relative to women with CO had reduced values of leukocyte, lymphocyte, granulocyte, erythrocyte sedimentation rate, relative to DP - monocytosis. In qualitative terms, the accumulation of hematological parameters for DP was minimal, with CO - maximum, when PSTI, SP - dynamics was average. One traditional treatment is not optimal, because it is not fully correct immune disorders. Additional administration to patients with monomodulators, metabolic agents, antioxidants, combinations of different origin, regional and systemic mechanism of action, with a differentiated focus on the basic parts of the lymphoid system (Roncoleukin, isoprinozine, gabriglobine, thymogen, nucleinate sodium, Derinat, polyoxidonium, licopid, superlymph, lipoxen, zygapan), in general, increases clinical effectiveness of conventional treatment, but requires a preliminary assessment of the effectiveness of these pharmacological effects on the clinical models. Mathematical formalization of the effects of immune disorders in the form of model formulas targets of action on lymphoid system allows you to set specific laboratory evidence to select individual options.
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