Correlations and Algorithmization of Cytokine Status Analysis of Patients with Coronary Heart Disease in the Early Recovery Period After COVID-19

Abstract

The purpose of research is study of correlations and algorithmization of cytokine status analysis of patients with coronary heart disease in the early recovery period after COVID-19.Methods. Cytokine status was studied in 40 patients with coronary heart disease 3-4 weeks after recovery from COVID19. The control consisted of 38 patients with coronary heart disease without COVID-19. The level of cytokines in the blood was determined on the device "Becton Dickinson FACS Canto 2 (USA)". Correlation and regression analysis were used in statistical analysis.Results. Reliable moderate correlations were established between IL-6 and IL-2, IL-3, respectively, r = 0,35 and r = 0,33; IL-17 with IL-2 and IL-6 – r = 0,28 and r = 0,63, respectively; TNF-α and IFN-γ with IL-6 – r = 0,42 and r = 0,39. At the same time, the greatest association, according to the values of the correlation coefficients, among the studied interleukins in patients with coronary heart disease during the convalescence period is characteristic of IL-6. However, IL-17 also had a significant number of correlations with the cytokines under consideration. All this indicates a high association of IL-6, IL-17 and IFN-γ with other cytokines during the recovery period of patients with coronary heart disease after COVID-19 and their priority participation in the development and recovery of these patients. To identify the most informative blood cytokines, an algorithm for analyzing the cytokine status has been developed, which provides for the development of uncorrected and adjusted mathematical models by gender and age of patients with coronary heart disease who have undergone COVID-19. It was found that the greatest effect on recovery 3-4 weeks after COVID-19 in patients with coronary heart disease has the level of IL-17 in the blood (OR = 1,792, p = 0,0021) in an uncorrected and adjusted by gender and age model (OR = 1,708, p = 0,0012).Conclusion. The established correlations, algorithms and models created are proposed to be used in assessing thedynamics of recovery of patients with coronary heart disease after COVID-19.