INTRODUCTION: This study was created to analyze dynamic alterations in coagulation, hematological and biochemical
parameters and their association with mortality of COVID-19 patients. To identify the most sensitive biomarkers as predictors
of mortality more research is required.
METHODS: The present study was a prospective, one-year-long observational study conducted on all critically ill,
COVID–19 patients with respiratory failure. The following data were collected: demographic and clinical characteristics
of the study population, comorbidities, coagulation, biochemical and hematological parameters. The primary outcome was
the proportion of patients who died.
RESULTS: 91 patients with median age 60 (50–67), 76.9% male, met the acute respiratory distress syndrome criteria. It
was tested whether dynamic change (delta-) of parameters that were found to be predictors of mortality is independently
associated with poor outcome. Adjusted (multivariate) analysis was used, where tested parameters were corrected for basic
and clinical patients characteristics. The only inflammatory parameter which dynamic change had statistically significant
odds ratio was CRP (p < 0.005), while among coagulation parameters statistically significant OR was found for fibrinogen
(p < 0.005) in predicting mortality. CONCLUSION: Monitoring of coagulation, hematological and biochemical parameters abnormalities and their dynamical
changes can potentially improve management and predict mortality in critically ill COVID –19 patients.
