Determination of Immunological Indicators in Predicting the Severity of Cardiovascular Diseases

The development of new tools in the system for predicting the development of cardiovascular diseases (CVDs) is an urgent task. The determination of immunoindicators, natural antibodies (e-Ab) to serotonin, dopamine, angiotensin, histamine, characterizing the course of CVDs, was studied to assess the severity of the disease using a mathematical balance model based on visualization of laboratory analysis results. The determination of e-Abs was carried out in groups of patients differing in diagnosis ((1) hypertension (45 people), (2) hypertension and coronary heart disease (53 people), (3) control (41 people)). It was found that, compared to the control, there was an increase in the level of e-Abs to bioregulators from 44 to 76% and from 46 to 119% (p < 0.05) for patients of the 1st and 2nd groups, respectively. As the severity of CVD progresses, the number of individuals with significantly high enzyme-linked immunosorbent assay (ELISA) values for angiotensin and serotonin increases. The use of a mathematical balance model to predict the course of CVD showed that the value of the platform deviation angle is a summary indicator reflecting the metabolic disorder of each bioregulator. The results are confirmed by the medical report for each patient.