THE ROLE OF INFLAMMATORY INDICES IN PREDICTING THE SEVERITY OF COVID-19

GIORGI TCHOLADZE; IA PANTSULAIA; LEVAN RATIANI; TINATIN CHIKOVANI; AVTANDIL JORBENADZE; TAMAR BOLOTASHVILI

doi:10.52340/jecm.2024.05.08

THE ROLE OF INFLAMMATORY INDICES IN PREDICTING THE SEVERITY OF COVID-19

Authors

GIORGI TCHOLADZE Tbilisi State Medical University
IA PANTSULAIA Tbilisi State Medical University
LEVAN RATIANI Tbilisi State Medical University
TINATIN CHIKOVANI Tbilisi State Medical University
AVTANDIL JORBENADZE Chapidze Cardiac Center Tbilisi, Georgia
TAMAR BOLOTASHVILI Chapidze Cardiac Center Tbilisi, Georgia

DOI:

https://doi.org/10.52340/jecm.2024.05.08

Keywords:

COVID-19, SARS-CoV-2, neutrophil, lymphocyte, platelet, ratio, SII

Abstract

The global pandemic of COVID-19, caused by the novel coronavirus SARS-CoV-2, has resulted in unprecedented health challenges. A significant obstacle in managing COVID-19 is the variability in disease presentation and progression, necessitating the development of reliable methods to predict patient outcomes. It is supposed that inflammatory markers (NL - neutrophil and lymphocyte ratio, PLR - thrombocyte and lymphocyte ratio, SII - systemic inflammation index) can be used to predict different types of disorders (cancer, infectious and autoimmune diseases). The present retrospective study aimed to reveal the relationship between inflammatory markers and the onset and prognosis of disease. Patients (100 hospitalized and PCR-confirmed) were divided into mild, moderate, and severe categories based on control-laboratory parameters and CT scores. Inflammatory markers (NLR, PLR, SII), along with other biomarkers, were measured and analyzed by statistical methods. As a result of the analysis, it was revealed that C-reactive protein, ferritin, and the number of leukocytes statistically significantly increased during the course. The outcomes show that NLR, PLR, and SII are significant predictors of the severity of COVID-19 and fully reflect the systemic inflammatory response (p<0.01). Thus, their integration (NLR< PLR< SII) into clinical practice can enhance risk stratification and inform therapeutic decisions, ultimately improving patient outcomes.

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