Mathematical modeling of the degree of the dependence of the peculiarities of the clinical performance of the acute coronary syndrome on the markers of the viral and bacterial infections

The assessment of the relationship between a disease and viral-bacterial markers can be the basis as both in making diagnostic decisions and choosing the treatments. The procedure of assessment is implemented on the basis of the methods using mathematical statistics with regard to the influence of viral-bacterial markers on the features that characterize the clinical performance of chronic diffuse acute coronary syndromes (ACS). The results of the studies based on the examination of 136 patients with the existence of the guidance ACS diagnosis confirmed by a set of laboratory and instrumental methods, are presented. To solve this problem the authors used the previously modified in relation to the multidimensional case, classical Mann–Whitney method to test for homogeneity of two samples (multidimensional generalization). On the basis of the proposed method, a table of estimations of the importance of modifying actions of 22 viral and bacterial markers in ACS was formed. The analysis of the data in the table showed that 4 markers have a high level of dependence with ACS and can be successfully used for diagnostic and therapeutic measures. 14 markers have medium level of significance to ACS and their use in the treatment process requires additional diagnostic procedures.