Abstract

Вackground Acute coronary events (ACEs) in combination with SARS-COV 2 infection have their own distinctive features that determine the dynamics of the disease and differences in therapy. Since at present there are no generally recognized algorithms for the management of such patients, there is a need to search for approaches to determine the risk of adverse outcomes of this disease phenotype. Aim of the study. To study the peculiarities of clinical course and to build a prognostic model of lethal outcomes risk in patients with ACS combined with SARS-COV 2 infection at the hospital stage Characteristics of patients and methods of research. The study included 225 patients admitted to a regional vascular center with a diagnosis of ACS who had a verified diagnosis of SARS-Cov 2 infection. Initially, 120 general clinical, biochemical and instrumental parameters were evaluated. Results and Conclusion. A predictive model was constructed with the identification of eight variables most influencing outcomes: age, the presence of atrial fibrillation (except for the first time detected in ACS), severe and extremely severe course of SARS-COV 2 infection, AKI, CKD, ferritin, albumin and glycemia in blood serum on admission. Conclusion. The proposed author's approach for assessing the risk of death in acute coronary syndrome in combination with SARS-CoV 2 has good predictive accuracy and is easy to use.

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