Prospective analysis of laboratory blood parameters in patients with cardiovascular diseases who underwent...

The study of the characteristics and dynamics of laboratory biomarkers in patients with cardiovascular diseases (CVD) undergoing COVID-19-associated pneumonia may be of great clinical importance. The study included 116 patients who underwent COVID-19-associated pneumonia. The patients were divided into 2 groups. The first group included 49 patients without CVD, the second group - 67 patients with CVD. A blood sample was performed in all patients at the time of hospitalization and 3 months after discharge from the hospital. The parameters of general blood count, biochemistry, hemostasis, and biomarkers of inflammation were assessed - concentration of C-reactive protein (CRP), highly sensitive CRP (hs-CRP), homocysteine and IL-6. All patients initially underwent computed tomography of the chest organs. We found that ESR, WBC (leukocytes), NLR (neutrophils/lymphocytes ratio), fibrinogen, LDH (lactate dehydrogenase), LYM/CRP ratio (lymphocytes/CRP) were parameters that significantly distinguished patients in the 1st and 2nd groups. Three months after discharge from the hospital in patients of both groups the increased indicators approached the reference values, however, some parameters such as CRP, ESR, WBC, fibrinogen remained at a higher level in group 2 compared to group 1. Correlation analysis revealed the relationship between parameters of inflammation and hemostasis in the 2nd group of patients, which confirms the presence of latent vascular inflammatory potential in this group. It was revealed that such indicators as lymphocytes, neutrophils, APTT and LDH were associated with the initial volume of lung lesion more than 50%. Increase of these parameters by 1 unit contributes to increase in the volume of lung tissue damage by 6.5%, 6.4%, 11%, and 0.6%, respectively. Thus, dynamic control of laboratory parameters has prognostic value in assessing the nature of the course of COVID-19 associated pneumonia in patients with CVD and developing an algorithm for personalized monitoring of patients in the post-COVID period with the aim of timely correction of therapy to prevent unwanted vascular complications.