Development of information panels for laboratory diagnosis of myocardial infarction risk in patients with stable ischemic heart disease

Abstract

The high incidence of stable coronary heart disease, the increasing frequency of myocardial infarction, disability and mortality determine the relevance of the search for new risk markers and laboratory criteria for predicting this severe complication. The aim of the study was to develop an information panel for diagnosing the risk of myocardial infarction in patients with stable coronary heart disease, including significant generally accepted and potentially possible new laboratory parameters characterizing various pathogenetic links of coronary atherosclerosis. The study included 168 patients who were divided into 2 groups: Group 1 - with a history of myocardial infarction, Group 2 - without a history of myocardial infarction. In addition to the standard laboratory and instrumental examination, all patients were identified parameters of endothelial dysfunction, oxidative stress and chaperone activity as potential markers of myocardial infarction in patients with stable coronary heart disease. Assessment of the risk of myocardial infarction in patients with stable coronary heart disease was carried out using a logical and mathematical model, which combined the most informative laboratory indicators of oxidative stress, endothelial dysfunction, and chaperone activity, which are important in the occurrence and progression of coronary atherosclerosis, according to the results of preliminary comparative and correlation analysis. The basis for the development of the information panel was the method of decision trees. The study confirmed the relationship between the severity of coronary atherosclerosis and the occurrence of myocardial infarction. Comparative analysis of the selected groups of patients showed a higher level of oxidative stress, serum homocysteine concentrations and lower values of chaperone activity in Group 1. In patients with a history of myocardial infarction, C-reactive protein was significantly higher than in Group 2, indicating a more pronounced inflammatory response in patients with large atherosclerotic lesions. The study suggests the possibility of using mathematical information panels based on decision trees as a system for assessing the risk of acute myocardial infarction in patients with stable coronary heart disease. As a result of the analysis of the obtained model, laboratory biochemical factors of high risk of myocardial infarction were identified. Such factors were chaperone activity, serum homocysteine level, serum C-reactive protein concentration and superoxide dismutase activity.