Aim. Study the impact of various combinations of comorbid original diseases in patients infected with COVID-19 later on the disease progression and outcomes of the new coronavirus infection. Materials and methods. The ACTIV registry was created on the Eurasian Association of Therapists initiative. 5,808 patients have been included in the registry: men and women with COVID-19 treated at hospital or at home. ClinicalTrials.gov ID NCT04492384. Results. Most patients with COVID-19 have original comorbid diseases (oCDs). Polymorbidity assessed by way of simple counting of oCDs is an independent factor in negative outcomes of COVID-19. Search for most frequent combinations of 2, 3 and 4 oCDs has revealed absolute domination of cardiovascular diseases (all possible variants). The most unfavorable combination of 2 oCDs includes atrial hypertension (AH) and chronic heart failure (CHF). The most unfavorable combination of 3 oCDs includes AH, coronary heart disease (CHD) and CHF; the worst combination of 4 oCDs includes AH, CHD, CHF and diabetes mellitus. Such combinations increased the risk of lethal outcomes 3.963, 4.082 and 4.215 times respectively. Conclusion. Polymorbidity determined by way of simple counting of diseases may be estimated as a factor in the lethal outcome risk in the acute phase of COVID-19 in real practice. Most frequent combinations of 2, 3 and 4 diseases in patients with COVID-19 primarily include cardiovascular diseases (AH, CHD and CHF), diabetes mellitus and obesity. Combinations of such diseases increase the COVID-19 lethal outcome risk.

The purpose of this document is to provide updated, evidence-based recommendations for the prevention of cardiovascular toxicity associated with anticancer therapy (anthracyclines, HER2-targeted therapy, tyrosine kinase inhibitors, anti-VEGF agents, fluoropyrimidines, and immune checkpoint inhibitors). The consensus covers risk stratification, screening and monitoring (biomarkers and imaging), pharmacological and non-pharmacological cardioprotection, and patient management algorithms for the detection of subclinical and clinically significant damage to the cardiovascular system. The recommendations are structured by recommendation classes (I, IIa, IIb, III) and levels of evidence (A, B, C), and are adapted for Russian and Eurasian clinical practice.