He work investigated the peculiarities of the laboratory status of patients with COVID-19 depending on age, gender and existing concomitant pathologies, and developed a prognostic model for the stratification of the course of the disease in patients with coronavirus infection. It has been established that in patients with COVID-19, the values of D-dimer, calculated D-dimer/fibrinogen index (from elderly to senile age), and urea concentration (from young to senile) increase with age (from young to senile). The examined patients of young age are characterized by lower levels of lactate and lactate dehydrogenase. Lymphopenia, leukocytosis and neutrophilia, thrombocytopenia, increased IG# and integral indices (NLR, d-NLR, IGLR×100, SII), increase in biochemical indicators (aspartate transferase, lactate dehydrogenase, creatinine phosphokinase, urea, creatinine, glucose, lactate and C-reactive protein level), increase in hemostasis indicators (D-dimer, fibrinogen, D-dimer/fibrinogen, international normalized ratio, activated partial thromboplastin time , soluble fibrin-monomer complexes) were found in the group of patients with a fatal end to the course of COVID-19. In patients with a severe course of COVID-19, compared to mild ones, a higher number of rod-nuclear leukocytes and soluble fibrin-monomer complexes, a lower concentration of platelets and d-NLR levels were recorded. On the basis of the results obtained, it was proved that the risk of mortality (prediction of mortality-recovery) is correlated with the level of NLR (with an increase in the values of the indicator per conditional unit of increase in the risk for patients by 1.42 times) and D-dimer (by 1.02 times with an increase in the values indicator per μg/dL). According to the results of multivariate logistic regression analysis, the risk of mortality in patients with COVID-19 (prediction of mortality-recovery with a severe course) was statistically significantly associated with the values of the NLR indicators (when the values of the indicator increase by one conditional unit, the risk increases 1.77 times) and C- reactive protein (when values increase by mg/ml, the risk of mortality increases by 1.02 times). The risk of a severe course of the disease (prediction of a severe course - a mild course) is statistically significantly associated with the number of rod-nuclear leukocytes (with an absolute unit increase of 4.96 times). The author's model of sequential forecasting of the course of the coronavirus infection using predictors NLR, dNLR, IGLR×100, PLR, SII was developed. Testing demonstrates that the proposed model is an effective method for differentiating the therapy algorithm in patients with COVID-19. The obtained results are the basis for the practical use of specified laboratory blood indicators and prognostic model in clinical diagnostic laboratories and differentiation of the treatment process of patients with COVID-19 in the hospital.
