Predictive role of some biomarkers in the course of COVID 19 infection

ABSTRACT

Introduction: Increasing amount of data in the literature proves the predictive role of some biomarkers for severity and the outcome of the COVID 19 infection. Aim(s) To make assessment of the relationship between some laboratory parameters and in hospital outcomes in patients with COVID-19. Method(s) Data from 123 hospital patients for a 3-month period were analyzed, 71 men and 52 women, average age 68.1y +/-12.4. They were divided into two groups regarding the outcome - deceased (82, 66.7%) and discharged (41, 33.3%) and compared by demographic, hematological and biochemical indicators. In the analysis of the results the parametric tests were applied in normal distribution for hypothesis testing Student's t-test;Analysis of Variance (ANOVA) - LSD, Tukey HSD, Duncan, Scheffe, Bonferon, Student - Newman - Keuls. Non-parametric tests with a different than normal distribution to test hypotheses chi2 Pearson test;Kruscal-Wallis test;Man Witney (Wilcoxon) W test. Result(s) There were no significant differences in terms of gender and age in the two groups p>0,05). We found significantly higher values of lactate dehydrogenase (LDH), p=0.0379, fibrinogen, p= 0.0209 and international normalized ratio (INR), p= 0.0151 in the group of the dead. The values of total protein and albumins in the same group were much lower - p=0.0203, p=0.0018 respectively. There was no significant difference between both groups regarding D-dimer, C-reactive protein, leucocytes, lymphocytes and thrombocytes. Conclusion(s) Deviations found in basic laboratory parameters are useful for assessing the risk of the outcome of COVID -19 infection in hospitalized patients.