Algorithms for adult outpatient care of coronavirus disease 2019 (COVID-19) and its Assumption

MARKIZ study: screening for post-COVID-19 syndrome using a questionnaire to identify symptoms and risk factors for noncommunicable diseases

Aim. To provide data on the diagnostic and prognostic value of questionnaire survey for post-COVID-19 syndrome during screening and regular medical check-ups of employees, as well as preventive medical examinations.

Material and methods. This single-center cross-sectional comparative study involved 1120 people (92,1% of the general population — all employees of the organization), including 195 men (67,3% of the general population) and 925 women (79,5% of the general population). All participants filled out the post-COVID-19 syndrome (PS) detection questionnaire, the Hospital Anxiety and Depression Scale and the QAA-25p Adherence Assessment Questionnaire. Potential adherence to treatment was calculated using the SCOPA software. Statistical processing was performed using tools adapted for medical and biomedical research (Python language; Sklearn, NumPy, Pandas libraries) and Statistica 6.13 (StatSoft Inc., USA).

Results. As a result, 47% of respondents noted at least one symptom that reduces the quality of life and/or performance efficacy. In all subsamples, women reported symptoms more frequently than men. The most informative indicators associated with post-COVID-19 syndrome are age (Mann-Whitney U test, p=0,042), number of PS symptoms (Mann-Whitney U test, p=0,001), severity of PS symptom (Mann-Whitney U test, p= 0,004) and adherence to health care (Kruskal-Wallis H test, p=0,021). An increased level of anxiety is associated with all the analyzed symptoms, depression level with 6 symptoms, age with 5 symptoms, insufficient compliance with 3 symptoms.

Conclusion. PS questionnaire should be included in a comprehensive survey program of persons undergoing medical examinations. It is necessary to develop algorithms for the treatment and diagnosis of patients that take into account the number and severity of individual symptoms separately for men and women with consideration to their COVID-19 epidemiological status, as well as age and markers of anxiety, depression, and adherence to treatment.

Long-term dynamics of the levels of anti-SARS-CoV-2 S-protein IgG antibodies in vaccinated individuals

In the context of the ongoing coronavirus disease 2019 (COVID-19) pandemic, it is extremely important to study immunogenicity and immune response duration in different vaccines.

Aim. As part of a prospective observational study, to study the levels of anti-SARS-CoV-2 S-protein IgG antibodies in individuals vaccinated with the Gam-COVID-Vac and CoviVac vaccines.

Material and methods. The data of 93 people who completed the first 3 visits were analyzed, 23 of whom were vaccinated with the Gam-COVID-Vac vaccine and 70 people — with the CoviVac vaccine. We collected blood before the injection of vaccine doses I and II, as well as 42 days after the injection of dose I in order to quantitatively determine IgG levels. The level of anti-SARS-CoV-2 S-protein IgG antibodies was determined using the SARS-CoV-2 IgG ELISA-BEST reagent kit on the InfiniteF50 TECAN system.

Results. A significant increase in anti-SARS-CoV-2 S-protein IgG antibodies was observed in those vaccinated with Gam-COVID-Vac. In the group of CoviVac vaccine, an increase in the level anti-SARS-CoV-2 S-protein IgG antibodies in absolute values was recorded, however, this increase did not reach statistical significance.

Conclusion. The data obtained show that the level of anti-SARS-CoV-2 S-protein antibodies 42 days after Gam-COVID-Vac vaccination is significantly higher than after CoviVac vaccination. However, an increase in the level of IgG in both groups indicates the ability of both vaccines to stimulate the production of anti-SARS-CoV antibodies.