Introduction. Coronavirus infection poses an extreme threat to older people and especially patients with severe cardiovascular pathology, including coronary heart disease (CHD). The recovery of such patients depends largely on the severity of cytokine disorders in the acute phase of the disease, since the latter have a detrimental effect on cardiomyocytes directly and indirectly through the development of complications from other organs and systems. However, changes in cytokines in blood plasma in elderly patients with coronary heart disease who have undergone COVID-19 have not been studied in practice. The aim of the study was to study the correlations of cytokines in blood plasma in elderly patients with coronary heart disease in the early stages of recovery after COVID-19. Materials and methods. Cytokines in blood plasma were studied in 40 elderly patients suffering from coronary heart disease, 3-4 weeks after recovery from COVID-19 and in 38 patients of the same age with coronary heart disease without COVID-19 at present and in anamnesis. The level of cytokines was determined in blood plasma on the device "Becton Dickinson FACS Canto 2 (USA)" in the morning on an empty stomach. The study of the connections between cytokines was carried out by the correlation method. The results of the study. The most pronounced relationship among the studied blood cytokines in terms of the number of reliable correlations was established for IL-6, which has direct weak and medium connections with other cytokines. IL-6 has a direct statistically significant average correlation with IL-17 (r=0.63), c TNF-α (r=0.42), c INF-γ (r=0.39), c IL-2 (r=0.35), c IL-3 (r=0.33) and weak reliable association with IL-7 (r=0.29). Three direct reliable connections are characteristic of IFN-γ – c IL-6 (r=0.39), IL-7 (r=0.36) and TNF-α (r=0.29).The latter has two direct average reliable associations with IL-6 and IL-17. Conclusion. In the early stages of recovery in patients aged 60-74 with coronary heart disease after COVID-19, IL-6, IFN-γ and TNF-α have the greatest conjugacy, which can be used as markers of patient data recovery.