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 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 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.

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.

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.