Aim    To evaluate the risks of all-cause death (ACD), cardiovascular death (CVD), death from recurrent acute decompensated heart failure (ADHF), and a composite index of CVD and death from recurrent ADHF in patients with chronic heart failure (CHF) after the first hospitalization for ADHF during a long-term, five-year follow-up in the conditions of specialized medical care and in real clinical practice.Material and methods    This prospective cohort observational study included 942 patients after ADHF. Group 1 consisted of 510 patients who continued the outpatient follow-up at a specialized center for the treatment of CHF (cCHF); group 2 consisted of 432 patients followed up at outpatient and polyclinic institutions (OPI) at the place of residence. During the five-year follow-up, the causes of death were determined based on the medical records of inpatients, postmortem examinations, or the conclusion in the medical records of outpatients. Rates of ACD, CVD, death from recurrent ADHF, and the composite index (CVD and death from ADHF) were analyzed. Statistical analysis was performed with a R statistical package.Results    ACD was 32.3% and 53.5% in groups 1 and 2, respectively (p<0.001). Based on the results of Cox proportional hazards models, it was shown that the follow-up in group 1, regardless of other factors, was associated with a decrease in the ACD risk (HR 2.07; 95% CI 1.68-2.54; p<0.001), CVD (HR 1.94; 95% CI 1.26-2.97; p=0.002), death from recurrent ADHF (HR 2.4; 95% CI 1.66-3.42; p<0.001) and the composite mortality index (HR 2.2; 95% CI 1.65-2.85; p<0.001) compared to group 2. The risks of death in CHF patients with moderately reduced left ventricular ejection fraction (LVEF) (HFmrEF) were consistent with the death rates in CHF patients with low LVEF (HFrEF) and were significantly higher than in CHF patients with preserved LVEF (HFpEF). The prognosis of life worsened with an increase in the Clinical Condition Assessment Scale score and age. The prognosis of life was better in women, as well as with higher values of systolic blood pressure (BP) and 6-minute walk test. In the structure of death in both groups, death from ADHF and sudden cardiac death (SCD) prevailed.Conclusion    The absence of specialized follow-up at an outpatient CHF center increases the risks of ACD, CVD, death from recurrent ADHF, and the composite endpoint at a depth of five-year observation. The leading causes of death were recurrent ADHF and SCD.

Aim. To present data from the AURA Registry (real-world data registry on AlbUminuRia detection rate among patients with previously undiAgnosed chronic kidney disease). It is important to perform population studies both to study the occurrence of markers (albuminuria (AU), decreased glomerular filtration rate (GFR)) and the prevalence of chronic kidney disease (CKD), which will provide information on the actual detection rate of CKD and the related markers in territories included in the registry of research centers.Material and methods. The article presents the first data from the AURA registry. Recruitment was carried out from March 6, 2023 to January 23, 2024. Thirty-four research centers in various federal districts of the Russian Federation and 104 doctors took part in the recruitment. We included 4580 subjects over the age of 40 years who had no previously established diagnosis of CKD and did not have type 1 or type 2 diabetes. During recruitment, the researchers were guided by the AURA study protocol (Version 1.7/12-26-2022).Results. AU more than 20 mg/g was detected in 64,9% of cases. At the same time, AU is more common at GFR values that may correspond to stage 3A of CKD. The rarer occurrence of AU in those examined with GFR >60 ml/min/1,73 m2 may be explained by less severe renal damage at this CKD stage. The incidence of AU was significantly higher in men, older people, smokers, people with metabolic syndrome, hypertension (HTN), prediabetes and overweight. The occurrence of AU also increased as HTN grade increased. AU detection rate was associated with hypertriglyceridemia, a high blood level of C-reactive protein, which is an integrative marker of inflammation that negatively affects cardiovascular risk.Conclusion. The presented first data from the AURA registry demonstrated the high AU prevalence in people over 40 years of age. A high incidence of AU was typical for patients with HTN, coronary artery disease, atrial fibrillation, heart failure, and prediabetes. An association has been demonstrated between the high incidence of AU and male sex, age, overweight, hyperuricemia, dyslipidemia, and a number of other cardiovascular risk factors.

Aim . To analyze newly diagnosed diseases and features of the post-COVID course in patients after a coronavirus disease 2019 (COVID-19) within 12-month follow-up. Material and methods . A total of 9364 consecutively hospitalized patients were included in the ACTIV registry. Enrollment of patients began on June 29, 2020, and was completed on March 30, 2021, corresponding to the first and second waves of the pandemic. Demographic, clinical, and laboratory data, computed tomography (CT) results, information about inhospital clinical course and complications of COVID-19 during hospitalization were extracted from electronic health records using a standardized data collection form. The design included follow-up telephone interviews with a standard questionnaire at 3, 6, and 12 months to examine the course of post-COVID period. Results . According to the ACTIV registry, 18,1% of patients after COVID-19 had newly diagnosed diseases (NDDs) over the next 12 months. Hypertension (HTN), type 2 diabetes and coronary artery disease (CAD) prevailed in the NDD structure. Comparison of the age-standardized incidence of NDDs (HTN, CAD, diabetes) in the post-COVID period in the ACTIV registry with NDD incidence in 2019 according to Rosstat and the expected incidence of NDDs according to the EPOHA study revealed that HTN, diabetes, CAD in patients after COVID-19 were registered more often as follows: HTN by 7,0 and 4,4 times, diabetes by 7,3 and 8,8 times, CAD by 2,3 and 2,9 times, respectively. NDDs most often developed in patients aged 47 to 70 years. Comparison of the actual and expected number of cases of newly diagnosed HTN, CAD and diabetes depending on age showed that the actual number of cases in the population of patients in the ACTIV register is significantly higher than expected for patients aged 45-69 years and for patients with hypertension or diabetes and aged <45 years. Patients with NDDs, compared with patients without NDDs, had a more severe acute COVID-19 course. Statistically significant independent predictors of NDD occurrence (HTN and/or diabetes and/or CAD) within 1 year after hospital discharge were age (direct relationship), body mass index (direct relationship) and glucose levels upon admission to hospital (direct relationship). Conclusion . Available evidence suggests that a strategy for managing COVID-19 survivors should include mandatory screening for early detection of cardiovascular disease and diabetes, which will be key to reducing the risk of further COVID-19 consequences.

BACKGROUND. There is enough evidence of the negative impact of excess weight on the formation and progression of res piratory pathology. Given the continuing SARS-CoV-2 pandemic, it is relevant to determine the relationship between body mass index (BMI) and the clinical features of the novel coronavirus infection (NCI). AIM. To study the effect of BMI on the course of the acute SARS-COV-2 infection and the post-covid period. MATERIALS AND METHODS. AKTIV and AKTIV 2 are multicenter non-interventional real-world registers. The АКТИВ registry (n=6396) includes non-overlapping outpatient and inpatient arms with 6 visits in each. The АКТИВ 2 registry (n=2968) collected the data of hospitalized patients and included 3 visits. All subjects were divided into 3 groups: not overweight (n=2139), overweight (n=2931) and obese (n=2666). RESULTS. A higher BMI was significantly associated with a more severe course of the infection in the form of acute kidney injury (p=0.018), cytokine storm (p<0.001), serum C-reactive protein over 100 mg/l (p<0.001), and the need for targeted therapy (p<0.001) in the hospitalized patients. Obesity increased the odds of myocarditis by 1,84 times (95% confidence interval [CI]: 1,13–3,00) and the need for anticytokine therapy by 1,7 times (95% CI: 1,30–2,30).The patients with the 1st and 2nd degree obesity, undergoing the inpatient treatment, tended to have a higher probability of a mortality rate. While in case of morbid obesity patients this tendency is the most significant (odds ratio — 1,78; 95% CI: 1,13-2,70). At the same time, the patients whose chronical diseases first appeared after the convalescence period, and those who had certain complaints missing before SARS-CoV-2 infection, more often had BMI of more than 30 kg/m2 (p<0,001).Additionally, the odds of death increased by 2,23 times (95% CI: 1,05-4,72) within 3 months after recovery in obese people over the age of 60 years CONCLUSION. Overweight and/or obesity is a significant risk factor for severe course of the new coronavirus infection and the associated cardiovascular and kidney damage Overweight people and patients with the 1st and 2nd degree obesity tend to have a high risk of death of SARS-CoV-2 infection in both acute and post-covid periods. On top of that, in case of morbid obesity patients this tendency is statistically significant. Normalization of body weight is a strategic objective of modern medicine and can contribute to prevention of respiratory conditions, severe course and complications of the new coronavirus infection.

Aim. To investigate on post-COVID period in patients of the Eurasian region.Material and methods. A total of 9364 consecutively hospitalized patients were included in ACTIV registry. Enrollment of patients began on June 29, 2020, and was completed on March 30, 2021, corresponding to the first and second waves of the pandemic. Demographic, clinical, and laboratory data, computed tomography (CT) results, information about inhospital clinical course and complications of COVID-19 during hospitalization were extracted from electronic health records using a standardized data collection form. The design included follow-up telephone interviews with a standard questionnaire at 3, 6, and 12 months to examine the course of post-COVID period.Results. According to ACTIV register, 63% of patients after COVID-19 had new adverse symptoms or exacerbations of the existing symptoms lasting for up to 1 year. After hospital discharge, 79,8% of patients sought unscheduled medical attention in the first 3 months, 79,1% at 4-6 months, and 64,8% at 7-12 months. Readmission rate was 11,8% in the first 3 months, 10,9% at 4-6 months, and 10,1% at 7-12 months. The most common reasons for unscheduled treatment in the first 3 months were uncontrolled hypertension, decompensated type 2 diabetes, destabilization of coronary artery disease, gastrointestinal disease, AF episodes, exacerbation of asthma and chronic obstructive pulmonary disease, decompensated heart failure (HF). The 12-month mortality of COVID-19 survivors after the discharge was 3,08%. Multivariate analysis showed that independent risk factors for fatal outcome were age (direct correlation), the levels of hemoglobin (inverse correlation), oxygen saturation (inverse correlation), and aspartate aminotransferase (direct correlation), as well as class III-IV HF, prior stroke, cancer, inhospital acute kidney injury. Based on these identified risk factors, a nomogram was constructed to determine the 3-month mortality risk after discharge.Conclusion. Analysis of ACTIV register showed that end of the acute phase of COVID-19 does not imply a complete recovery.

Aim . To study the survival of patients with New York Heart Association (NYHA) class IIIV heart failure (HF) after a coronavirus disease 2019 (COVID-19) and compare it with a group of similar patients without COVID-19, both during and before the pandemic. Material and methods . A sample of 810 patients with HF of any class was created, who were treated in the HF center at the City Clinical Hospital № 38 in Nizhny Novgorod for the period from March 2019 to March 2020. Patients with NYHA class HF III-IV (n=263) were selected from this sample. The diagnosis was confirmed by echocardiography and chest radiography. At the time of discharge, the 6-minute walk test was <300 meters, while the level of N-terminal pro-brain natriuretic peptide — >300 pg/ml. The group was analyzed from March 2019 to December 2021 with the definition of all-cause mortality depending on prior COVID-19. Results . During 520-day follow-up, 30,8% of NYHA class III-IV patients died, while 16,0% of patients underwent COVID-19, of which 79,25% of patients died during this period. Mortality among patients without prior COVID-19 was 23,3% (p<0,001). The 30-day mortality among those with COVID-19 was 50,0%, while for the year, this parameter was 71,4% (p<0,001). Among patients without COVID-19 and with class III-IV HF, 4,64% died in the first 30 days, and 20,7% of patients died during the year (p<0,001). The results obtained were compared with the data from the EPOCHA-CHF program from 2002 to 2017. Conclusion . Mortality among patients with class III-IV HF after COVID-19 was 3,5 times higher compared with those with class III-IV HF without prior COVID-19. During the COVID-19 pandemic, the mortality rate among patients with class III-IV HF without COVID-19 increased by 2,09 times compared with the pre-pandemic period.

Aim To study specific features of the clinical course of novel coronavirus infection and the effect of concurrent diseases on the outcome in hospitalized patients with SARS-CoV-2 infection during the first and the second pandemic waves. Material and Methods To evaluate features of the course of COVID-19 in the Eurasian region, international registries ACTIV-1 and ACTIV-2 were created during the first and second pandemic waves, respectively. 5397 patients were enrolled to the ACTIV-1 registry from June 29, 2020 through October 29, 2020 and 2665 patients were enrolled to ACTIV-2 from November 01, 2020 through March 30, 2021. Results In-hospital mortality decreased during the second pandemic wave to 4.8 % vs. 7.6 % during the first wave. During the second wave, patients were older, had more concurrent diseases, were admitted in a more severe condition, and had a higher level of polymorbidity. During the second pandemic wave, the incidence of bacterial pneumonia and sepsis increased, but deep vein thrombosis and "cytokine storm" were observed less frequently. The most unfavorable predictors of mortality were the following combinations of concurrent diseases: arterial hypertension (AH) + chronic heart failure (CHF) + diabetes mellitus (DM) + obesity; AH + ischemic heart disease (IHD) + CHF + DM; and AH + IHD + CHF + obesity. Conclusion During the second pandemic wave, patients had more extensive damage of the lungs, more frequent febrile fever, higher levels of C-reactive protein and troponin, and lower levels of hemoglobin and lymphocytes. Perhaps, these changes were due to different tactics of hospitalization during the first and second waves in the participant countries that have contributed to ACTIV-1 and ACTIV-2 registries.

Aim . To carry out comparative analysis of echocardiographic and electrocardiographic (ECG) data of survivors and deceased patients with COVID-19 (sub-analysis of the international register "Dynamics analysis of comorbidities in SARS-CoV-2 survivors"). Material and methods. The study presents the results of a sub-analysis of the international AKTIV registry, which was called AKTIV CARDIO. Data were collected from 9 medical centers in the Russian Federation. AKTIV CARDIO included 973 hospitalized patients, of which 50 patients died during hospitalization. Results . Comparative analysis of echocardiographic parameters revealed that 4 parameters differed in deceased patients compared to survivors: left ventricular ejection fraction (LVEF), right ventricular end diastolic dimension (RV EDD), right atrial (RA) short axis diameter and pulmonary artery systolic pressure (PASP). RA short axis diameter was higher in deceased patients compared with survivors (38,0 [36,0; 39,0] versus 35,0 [33,0; 38,0] mm, p=0,011). RV EDD was higher in deceased patients than in survivors (3,0 [29,0; 33,0] vs 28,0 [27,0; 32,0] mm, p=0,019). LVEF was lower in deceased patients compared with survivors (55 [52; 55] vs 60 [56; 65]%, p<0,001). PASP was higher in deceased patients compared with survivors (25 [21; 35] vs 20 [19; 25] mm Hg, p=0,006). Correlation analysis found that the largest number of correlations with markers of the infection severity was observed for RA short axis diameter and RV EDD. A comparative analysis of ECG data revealed that in deceased patients, compared with survivors, atrial fibrillation (AF) (21,4% vs 6,06%, p=0,001) and supraventricular premature beats (14,3% vs 3,36%, р=0,004) occurred more often. In addition, deceased patients had longer QTc interval (440 [416; 450] vs 400 [380; 430] ms, p<0,001). Conclusion . Comparative analysis of echocardiographic data showed that deceased patients have more pronounced right heart remodeling, higher PASP and lower LVEF. Patient survival was related to RV and RA sizes. Right heart enlargement was associated with markers of infection severity. Echocardiographic parameters characterizing the right heart side can probably be independent prognostic factors in the acute COVID-19 period.

Aim. To study the lipid profile in hospitalized patients with coronavirus disease 2019 (COVID-19) depending on the outcome of its acute phase according to the AKTIV international registry.Material and methods. The AKTIV registry included men and women over 18 years of age with a diagnosis of COVID-19, who were treated in a hospital. A total of 9364 patients were included in the registry, of which 623 patients were analyzed for levels of total cholesterol, low-density lipoprotein cholesterol (LDL-C) and triglycerides on days 1-2 of hospitalization. The level of high-density lipoprotein cholesterol (HDL-C) was calculated using the Friedewald equation.Results. We found that a decrease in LDL-C level was significantly associated with an unfavorable prognosis for hospitalized patients with COVID-19. This pattern persisted in both univariate and multivariate analyses. LDL-C levels in the final multivariate model had a significant relationship with the prognosis (an increase in the death risk by 1,7 times with a decrease per 1 mmol/l). In addition, we found that the survival of patients with an indicator level of <2,45 mmol/l is significantly worse than in patients with an LDL-C level ≥2,45 mmol/l. All patients with high LDL-C ((≥4,9 mmol/l) survived, while among patients with low LDL-C (<2,45 mmol/l. All patients with high LDL-C ((≥4,9 mmol/l) survived, while among patients with low LDL-C (<1,4 mmol/l), mortality was 13,04%, which was significantly higher than in patients with LDL-C ≥1,4 mmol/l (6,32%, p=0,047).Conclusion. A decrease in LDL-C in the acute period is significantly associated with an unfavorable prognosis for hospitalized patients with COVID-19. Determination of LDL-C can be included in the examination program for patients with COVID-19. However, the predictive value of this parameter requires further study in prospective clinical studies.

Aim To study the effect of regular drug therapy for cardiovascular and other diseases preceding the COVID-19 infection on severity and outcome of COVID-19 based on data of the ACTIVE (Analysis of dynamics of Comorbidities in paTIents who surVived SARS-CoV-2 infEction) registry.Material and methods The ACTIVE registry was created at the initiative of the Eurasian Association of Therapists. The registry includes 5 808 male and female patients diagnosed with COVID-19 treated in a hospital or at home with a due protection of patients’ privacy (data of nasal and throat smears; antibody titer; typical CT imaging features). The register territory included 7 countries: the Russian Federation, the Republic of Armenia, the Republic of Belarus, the Republic of Kazakhstan, the Kyrgyz Republic, the Republic of Moldova, and the Republic of Uzbekistan. The registry design: a closed, multicenter registry with two nonoverlapping arms (outpatient arm and in-patient arm). The registry scheduled 6 visits, 3 in-person visits during the acute period and 3 virtual visits (telephone calls) at 3, 6, and 12 mos. Patient enrollment started on June 29, 2020 and was completed on October 29, 2020. The registry completion is scheduled for October 29, 2022. The registry ID: ClinicalTrials.gov: NCT04492384. In this fragment of the study of registry data, the work group analyzed the effect of therapy for comorbidities at baseline on severity and outcomes of the novel coronavirus infection. The study population included only the patients who took their medicines on a regular basis while the comparison population consisted of noncompliant patients (irregular drug intake or not taking drugs at all despite indications for the treatment).ResultsThe analysis of the ACTIVE registry database included 5808 patients. The vast majority of patients with COVID-19 had comorbidities with prevalence of cardiovascular diseases. Medicines used for the treatment of COVID-19 comorbidities influenced the course of the infectious disease in different ways. A lower risk of fatal outcome was associated with the statin treatment in patients with ischemic heart disease (IHD); with angiotensin-converting enzyme inhibitors (ACEI)/angiotensin receptor antagonists and with beta-blockers in patients with IHD, arterial hypertension, chronic heart failure (CHF), and atrial fibrillation; with oral anticoagulants (OAC), primarily direct OAC, clopidogrel/prasugrel/ticagrelor in patients with IHD; with oral antihyperglycemic therapy in patients with type 2 diabetes mellitus (DM); and with long-acting insulins in patients with type 1 DM. A higher risk of fatal outcome was associated with the spironolactone treatment in patients with CHF and with inhaled corticosteroids (iCS) in patients with chronic obstructive pulmonary disease (COPD).Conclusion In the epoch of COVID-19 pandemic, a lower risk of severe course of the coronavirus infection was observed for patients with chronic noninfectious comorbidities highly compliant with the base treatment of the comorbidity.

The international AKTIV register presents a detailed description of out- and inpatients with COVID-19 in the Eurasian region. It was found that hospitalized patients had more comorbidities. In addition, these patients were older and there were more men than among outpatients. Among the traditional risk factors, obesity and hypertension had a significant negative effect on prognosis, which was more significant for patients 60 years of age and older. Among comorbidities, CVDs had the maximum negative effect on prognosis, and this effect was more significant for patients 60 years of age and older. Among other comorbidities, type 2 and 1 diabetes, chronic kidney disease, chronic obstructive pulmonary disease, cancer and anemia had a negative impact on the prognosis. This effect was also more significant (with the exception of type 1 diabetes) for patients 60 years and older. The death risk in patients with COVID-19 depended on the severity and type of multimorbidity. Clusters of diseases typical for deceased patients were identified and their impact on prognosis was determined. The most unfavorable was a cluster of 4 diseases, including hypertension, coronary artery disease, heart failure, and diabetes mellitus. The data obtained should be taken into account when planning measures for prevention (vaccination priority groups), treatment and rehabilitation of COVID-19 survivors.

Objective: to analyze the leading causes of early (first two days) and late (after the second day) hospital mortality among of patients with acute decompensated heart failure.Materials and methods: a retrospective single-center cohort (n=718) of patients with acute decompensated heart failure.Results: predictors of prognosis for early hospital mortality were pulmonary edema, hepatomegaly, the need for inotropic and vasopressive drugs, the level of systolic blood pressure and creatinine. Predictors of prognosis for late hospital mortality were pulmonary edema, the need for inotropic drugs, community-acquired pneumonia, and laboratory markers of acute renal injury.Conclusion: Tactical approaches are proposed to reduce hospital mortality of patients with acute decompensated heart failure.

The organizer of the registers “Dynamics analysis of comorbidities in SARSCoV-2 survivors” (AKTIV) and “Analysis of hospitalizations of comorbid patients infected during the second wave of SARS-CoV-2 outbreak” (AKTIV 2) is the Eurasian Association of Therapists (EAT). Currently, there are no clinical registries in the Eurasian region designed to collect and analyze information on long-term outcomes of COVID-19 survivors with comorbid conditions. The aim of the register is to assess the impact of a novel coronavirus infection on long-term course of chronic non-communicable diseases 3, 6, 12 months after recovery, as well as to obtain information on the effect of comorbidity on the severity of COVID-19. Analysis of hospitalized patients of a possible second wave is planned for register “AKTIV 2”. To achieve this goal, the register will include men and women over 18 years of age diagnosed with COVID-19 who are treated in a hospital or in outpatient basis. The register includes 25 centers in 5 federal districts of the Russian Federation, centers in the Republic of Armenia, the Republic of Kazakhstan, the Republic of Kyrgyzstan, the Republic of Belarus, the Republic of Moldova, and the Republic of Uzbekistan. The estimated capacity of the register is 5400 patients.

Aim. To study the clinical course specifics of coronavirus disease 2019 (COVID-19) and comorbid conditions in COVID-19 survivors 3, 6, 12 months after recovery in the Eurasian region according to the AKTIV register. Material and methods.The AKTIV register was created at the initiative of the Eurasian Association of Therapists. The AKTIV register is divided into 2 parts: AKTIV 1 and AKTIV 2. The AKTIV 1 register currently includes 6300 patients, while in AKTIV 2 — 2770. Patients diagnosed with COVID-19 receiving in- and outpatient treatment have been anonymously included on the registry. The following 7 countries participated in the register: Russian Federation, Republic of Armenia, Republic of Belarus, Republic of Kazakhstan, Kyrgyz Republic, Republic of Moldova, Republic of Uzbekistan. This closed multicenter register with two nonoverlapping branches (in- and outpatient branch) provides 6 visits: 3 in-person visits during the acute period and 3 telephone calls after 3, 6, 12 months. Subject recruitment lasted from June 29, 2020 to October 29, 2020. Register will end on October 29, 2022. A total of 9 fragmentary analyzes of the registry data are planned. This fragment of the study presents the results of the post-hospitalization period in COVID-19 survivors after 3 and 6 months. Results. According to the AKTIV register, patients after COVID-19 are characterized by long-term persistent symptoms and frequent seeking for unscheduled medical care, including rehospitalizations. The most common causes of unplanned medical care are uncontrolled hypertension (HTN) and chronic coronary artery disease (CAD) and/or decompensated type 2 diabetes (T2D). During 3- and 6-month follow-up after hospitalization, 5,6% and 6,4% of patients were diagnosed with other diseases, which were more often presented by HTN, T2D, and CAD. The mortality rate of patients in the post-hospitalization period was 1,9% in the first 3 months and 0,2% for 4-6 months. The highest mortality rate was observed in the first 3 months in the group of patients with class II-IV heart failure, as well as in patients with cardiovascular diseases and cancer. In the pattern of death causes in the post-hospitalization period, following cardiovascular causes prevailed (31,8%): acute coronary syndrome, stroke, acute heart failure. Conclusion. According to the AKTIV register, the health status of patients after COVID-19 in a serious challenge for healthcare system, which requires planning adequate health system capacity to provide care to patients with COVID-19 in both acute and post-hospitalization period.

Aim. To study the prevalence of carbohydrate metabolism disorders in patients with heart failure (HF) hospitalized in the city HF center.Material and methods. According to the local registry, the study sequentially included 183 patients (99 men and 84 women) hospitalized in the Nizhny Novgorod city HF center from September 1, 2019. The examination and treatment were carried out in accordance with the current clinical guidelines. In the first 48 hours after hospitalization, the concentration of the N-terminal pro-brain natriuretic peptide, soluble stimulating growth factor 2 (sST2), neutrophil gelatinase-associated lipocalin, cystatin C, blood creatinine was determined. The glomerular filtration rate was calculated using the СKDEPI equation. To assess the carbohydrate metabolism disorders, all patients were studied for fasting plasma glucose, glycated hemoglobin (HbA1c) and fructosamine. Statistical data processing was carried out using the R statistics package (R Core Team (2019)).Results. The incidence of carbohydrate metabolism disorders among patients withdecompensated HF was 75,89%, including previously diagnosed type 2 diabetes in 31,25%, newly diagnosed dysglycemia in 44,64% of patients. Less than one fourth of patients had normal parameters of carbohydrate metabolism according to HbA1c, fructosamine and fasting plasma glucose. The severity of carbohydrate metabolism disorders was significantly correlated with the severity of HF according to the following criteria: 6-minute walk test, HF functional class, sST2 level, and some parameters of cardiac remodeling. Among the criteria used for carbohydrate metabolism disorders, the HbA1c level was most closely associated with the criteria for HF severity.Conclusion. Carbohydrate metabolism disorders in HF patients are widespread and underdiagnosed during routine examination. The interrelation of carbohydrate metabolism parameters and indicators of HF severity is rationale for active detection of dysglycemia in these patients in order to potentially influence the prognosis.

COVID-19 is a severe infection with high mortality. The concept of the disease has been shaped to a greater extent on the basis of large registers from the USA, Spain, Italy, and China. However, there is no information on the disease characteristics in Caucasian patients. Therefore, we created an international register with the estimated capacity of 5,000 patients — Dynamics Analysis of Comorbidities in SARS-CoV-2 Survivors (AKTIV SARS-CoV-2), which brought together professionals from the Russian Federation, Republic of Armenia, Republic of Kazakhstan, and Kyrgyz Republic. The article presents the first analysis of the register involving 1,003 patients. It was shown that the most significant difference of the Caucasian population was the higher effect of multimorbidity on the mortality risk vs other registers. More pronounced effect on mortality of such diseases as diabetes, obesity, hypertension, chronic kidney disease, and age over 60 years was also revealed.

COVID-19 is a severe infection with high mortality. The concept of the disease has been shaped to a greater extent on the basis of large registers from the USA, Spain, Italy, and China. However, there is no information on the disease characteristics in Caucasian patients.Therefore, we created an international register with the estimated capacity of 5,000 patients — Dynamics Analysis of Comorbidities in SARS-CoV-2 Survivors (AKTIV SARS-CoV-2), which brought together professionals from the Russian Federation, Republic of Armenia, Republic of Kazakhstan, and Kyrgyz Republic. The article presents the first analysis of the register involving 1,003 patients. It was shown that the most significant difference of the Caucasian population was the higher effect of multimorbidity on the mortality risk vs other registers. More pronounced effect on mortality of such diseases as diabetes, obesity, hypertension, chronic kidney disease, and age over 60 years was also revealed.

AIM Identify the most significant predictors of community-acquired pneumonia and their im-pact on the risk of this disease in patients with ADHF. MATERIALS AND METHODS The analysis of the hospital sample of patients (n=852) with ADHF. In 16.5% of hospitalizations, community-acquired pneumonia was found. RESULTS The presence of symmetrical rales in the lungs, hepatomegaly, left ventricular failure signs, dilated cardiomyopathy, hypotension are increasing the risk of pneumonia in 3.7 (p<0.001), 1.6 (p=0.02), 1.86 (p=0.005), 1.72 (p=0.002), 2.7 (p=0.003) times. CONCLUSION Based on results of a single and multivariate regression analysis, the risk of pneumonia is statistically significant increase in patients with acute left ventricular failure, dilated cardiomyopathy, hypotension, with signs of stagnation in the small and large circulatory circles. Different combinations of these predictors were found in 80% of patients with ADHF, among which in 20% of cases there was a combination of 3-5 factors.

Aim. To evaluate preparedness of physicians in real clinical practice to strive for stabilizing the course of CHF by control of clinical and hemodynamic indexes both in prevention of admission for decompensated CHF and following discharge from the hospital. Materials and methods. The study included 750 CHF patients with any NYHA FC who were admitted in emergency for decompensated CHF. All patients with CHF were followed up for a year after discharge from the hospital. Medical records of inpatients (MRIP) and outpatients (MROP) were analyzed including determination of clinical symptoms and administered doses of medicines. Changes in clinical parameters during a year were recorded. Results. CHF decompensation was evident as pulmonary edema in 1.6% of cases and acute left ventricular failure in 18.5% of cases. All the rest of decompensated CHF cases included ascites or hyposarca (21.1%), or increased edema syndrome with unstable hemodynamics (58.5%). In MROPs, weight control was presented for 1.2% of patients. The composite index of effectively achieved control of hemodynamics and body weight was only 0.2%. Treatment effectiveness decreases due to absence of drug titration and switching therapies, which considerably impairs prognosis for patients. Conclusion. Outpatient physicians lack alertness for development of CHF decompensation, and control of hemodynamics and body weight of patients remains ineffective. Physicians are not prepared to achieve recommended doses of medicines, which provokes high risk of fatal outcome and/or rehospitalization.