Objectivization of functional connections of laboratory research indicators as a way to increase their informativeness. Own research review

The review summarizes the results of the research conducted by the authors, devoted to the creation of a method for determining multidimensional relationships and its test approval in various pathological processes in the analysis of personal laboratory data of patients. The algorithm for processing laboratory data is based on the clustering method – selection from the general array of a homogeneous group close in the structure of the ratios of laboratory indicators to the analyzed observation and subsequent correlation analysis in the cluster group with the construction of a matrix table of coincidence of distinctive features of the influence on the structure of the ratios of the determined indicators. The authors determine the diagnostic differential value of the obtained correlation coefficients as a reflection of the influence of individual indicators in the implementation of alternative mechanisms of activation / inhibition of emerging disorders in personal observations. The proposed method for determining multidimensional relationships in laboratory analyses made it possible to differentiate the «personal» significance of the participation of various factors in the formation of pathological disorders, including with the same type of shifts in absolute indicators (above/below the norm), thereby defining a general paradigm and possible goals for targeted pharmacological correction in individual cases. It was also established that maintaining absolute values of the homeostatic indicators in individual observations can be carried out, including, due to a pronounced «deformation» of the balance of their general structure. These personal observations (with a pronounced deformation of the internal structure without deviations from the norm of absolute indicators), according to the researchers, should be attributed to signs of pre-clinical changes in laboratory indicators. The authors see the prospect of continuing the development and application of the created method in determining and analyzing the distinctive features of the functional connections of a wide range of indicators in various nosological forms of diseases at the choice of the researcher, revealing and objectifying the intersystemic connections of the dynamics of indicators of individual types of metabolism or a functional group with the creation of a common «knowledge base».