Abstract
Introduction: The rapid progression of COVID-19 disease and its increasing burden on health systems inmpose identification of clinical parameters of severe infection to help monitoring diagnosis and treatment response.
Aim: To identify potential biomarkers of COVID-19 pneumonia severity, useful for rapid diagnostic and disease prognostic.
Methods: The data from 97 patients diagnosed with different forms as COVID-19 were retrospectively analyzed. Biochemical (lactat dehydrogenase (LDH), C-reactive protein (CRP), alanine aminotransferase (ALT), aspartate aminotransferase (AST), glucose) and hematological parameters ( lymphocytes, eosinophils, platelets) were investigated as potential indicators of the severity of the COVID-19 pneumonia.
Results: Concentrations profile of LDH, CRP and LDH/lymphocite ratio in terms of median and standard error in severe and non-severe COVID 19 cases are ilustrated in Figure 1.
The correlation matrix between the biochemical and the hematological parameters used in diagnosing severe and non-severe forms had significant correlation coefficients (r=0.39–0.96; p˂0,05).
Conclusions: Statistical results showed that LDH could be identified as a powerful predictive factor for early recognition of severe and non-severe COVID-19 pneumonia. CRP, LDH/lymphocyte ratio were also dynamically correlated with the severity of the disease.
Footnotes
Cite this article as: European Respiratory Journal 2021; 58: Suppl. 65, PA3879.
This abstract was presented at the 2021 ERS International Congress, in session “Prediction of exacerbations in patients with COPD”.
This is an ERS International Congress abstract. No full-text version is available. Further material to accompany this abstract may be available at www.ers-education.org (ERS member access only).
- Copyright ©the authors 2021
