[Molecular epidemiological analysis of SARS-CoV-2 genovariants in Moscow and Moscow region].

INTRODUCTION: SARS-CoV-2, a severe acute respiratory illness virus that emerged in China in late 2019, continues to spread rapidly around the world, accumulating mutations and thus causing serious concern. Five virus variants of concern are currently known: Alpha (lineage B.1.1.7), Beta (lineage B.1.351), Gamma (lineage P.1), Delta (lineage B.1.617.2), and Omicron (lineage B.1.1.529). In this study, we conducted a molecular epidemiological analysis of the most prevalent genovariants in Moscow and the region. The aim of the study is to estimate the distribution of various variants of SARS-CoV-2 in Moscow city and the Moscow Region. MATERIALS AND METHODS: 227 SARS-CoV-2 sequences were used for analysis. Isolation of the SARS-CoV-2 virus was performed on Vero E6 cell culture. Sequencing was performed by the Sanger method. Bioinformatic analysis was carried out using software packages: MAFFT, IQ-TREE v1.6.12, jModelTest 2.1.7, Nextstrain, Auspice v2.34. RESULTS: As a result of phylogenetic analysis, we have identified the main variants of the virus circulating in Russia that have been of concern throughout the existence of the pandemic, namely: variant B.1.1.7, which accounted for 30% (9/30), AY.122, which accounted for 16.7% (5/30), BA.1.1 with 20% (6/30) and B.1.1 with 33.3% (10/30). When examining Moscow samples for the presence of mutations in SARS-CoV-2 structural proteins of different genovariants, a significant percentage of the most common substitutions was recorded: S protein D614G (86.7%), P681H/R (63.3%), E protein T9I (20.0%); M protein I82T (30.0%), D3G (20.0%), Q19E (20.0%) and finally N protein R203K/M (90.0%), G204R/P (73.3 %). CONCLUSION: The study of the frequency and impact of mutations, as well as the analysis of the predominant variants of the virus are important for the development and improvement of vaccines for the prevention of COVID-19. Therefore, ongoing molecular epidemiological studies are needed, as these data provide important information about changes in the genome of circulating SARS-CoV-2 variants.

[Characteristics of imported cases of Dengue fever and hemorrhagic Dengue fever in 2009-2019].

INTRODUCTION: In Russia, the approved morbidity statistics system is represented by the International Classification of Diseases of the 10th revision (ICD-10). This classification provides two forms of dengue fever (DF): dengue fever (A90) and hemorrhagic dengue (A91). Official statistics on the ratio of forms of DF is not published in open sources and this lack of information about the real ratio of the forms of DF makes it difficult to objectively assess the factors that determine the severity of this disease. THE AIM: compare the clinical and epidemiological features of dengue fever and hemorrhagic dengue fever in patients hospitalized in 2009-2019 to the City Infectious Clinical Hospital No. 1, Moscow. MATERIALS AND METHODS: A retrospective cohort study. We analyzed the patient database and reviewed 391 medical records of patients with diagnosed dengue fever. We compared gender, age characteristics, travel geography including information about previous visits of patients to endemic regions and dengue virus serotype. To determine the primary and re-infection rate, an analysis of IgG for the dengue virus was carried out on days 1-5 of the disease. To compare indicators, 95% confidence intervals for proportions, medians, and interquartile ranges were calculated. The significance of differences between independent samples for assessing qualitative characteristics was carried out using the criteria χ2, the odds ratio. To assess the quantitative characteristics, the Mann-Whitney test was used. Differences were considered statistically significant at p ≤ 0.05. RESULTS: The proportion of patients with dengue fever was 14.9% of all hospitalized with febrile illnesses that developed after international travel. Hemorrhagic dengue fever (DHF) was diagnosed in 15.7% of patients with dengue fever. DHF developed significantly more often in women, as well as in those who had history of repeated visits to endemic regions. However, DHF was also diagnosed in 10.9% of first-time travelers to tropical countries. We did not find significant differences in the rates of DHF development depending on age and dengue virus serotype. In a number of patients who had not previously traveled to endemic regions, IgG to the dengue virus were detected, which may indicate a previous infection with related flaviviruses. CONCLUSION: It has been established that in the regions most visited by Russians, there is a circulation of all serotypes of the dengue virus with an annual change in the predominant serotype.

[Organizing the medical care for the COVID-19 patients in non-infectious Moscow hospital: reassignment experience].

AIM: To present the results of work of National Medical Research Center of Treatment and Rehabilitation, reassigned for COVID-19 patients treatment during pandemic. Run-up methodology, procedures and working process organization are detailed. MATERIALS AND METHODS: 354 COVID-19 patients were treated from 13.04.2020 to 10.06.2020 [age 59 (470) years, 56% women, body mass index 28.5 (24.932.2) kg/m2]. Patients were admitted at 8 (611) day of sickness. In-hospital stay was 16 (1420) days. RESULTS: NEWS scale at the day of admittance was 2 (14); 2 (13) in patients discharged alive and 6 (47) in died patients, p=0.0001. So prognostic accuracy of NEWS scale was confirmed as very well (area under ROC-curve = 0.819). 69 patients (19.5%) were treated at intensive care department for 7 (413) days. 13 patients died, 11 of them had COVID-19 as direct or indirect cause of death. Total in-hospital mortality was 3.67%, in-hospital mortality of COVID-19 patients 3.1%. 17 healthcare workers (HCW), contacted with COVID-19 patients were infected (2.67%). 4 HCW, who had no direct contact with patients were also infected and 7 HCW were infected before the first patient was admitted. No one of them died. CONCLUSION: Complex tasks of healthcare organization during COVID-19 pandemic can be solved quickly with acceptable quality, characterized by low levels of patients; mortality and HCW infection.