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

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

Авторы

  • GIORGI TCHOLADZE Tbilisi State Medical University image/svg+xml
  • IA PANTSULAIA Tbilisi State Medical University image/svg+xml
  • LEVAN RATIANI Tbilisi State Medical University image/svg+xml
  • TINATIN CHIKOVANI Tbilisi State Medical University image/svg+xml
  • AVTANDIL JORBENADZE Chapidze Cardiac Center Tbilisi, Georgia
  • TAMAR BOLOTASHVILI Chapidze Cardiac Center Tbilisi, Georgia

DOI:

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

Ключевые слова:

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

Аннотация

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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Библиографические ссылки

Chan, J. F. W., Yuan, S., Kok, K. H., To, K. K. W., et al. (2020). A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. The Lancet, 395(10223), 514-523.

Cakirca, G., Cakirca, T. D., Bindal, A., & Olcen, M. (2023). Inflammation-based Indices Predicting Mortality in COVID-19. J Coll Physicians Surg Pak, 33(1), 112-114.

Citu, C., Gorun, F., Motoc, A., Sas, I., Gorun, O. M., Burlea, B., Tuta-Sas, I., Tomescu, L., Neamtu, R., Malita, D., & Citu, I. M. (2022). The Predictive Role of NLR, d-NLR, MLR, and SIRI in COVID-19 Mortality. Diagnostics (Basel), 12(1), 122.

Ghobadi, H., Mohammadshahi, J., Javaheri, N., Fouladi, N., Mirzazadeh, Y., & Aslani, M. R. (2022). Role of leukocytes and systemic inflammation indexes (NLR, PLR, MLP, dNLR, NLPR, AISI, SIR-I, and SII) on admission predicts in-hospital mortality in non-elderly and elderly COVID-19 patients. Front Med (Lausanne), 9, 916453.

Gutiérrez-Pérez, I. A., Buendía-Roldán, I., Pérez-Rubio, G., Chávez-Galán, L., Hernández-Zenteno, R. J., Aguilar-Duran, H., Fricke-Galindo, I., Zaragoza-García, O., Falfán-Valencia, R., & Guzmán-Guzmán, I. P. (2022). Outcome predictors in COVID-19: An analysis of emergent systemic inflammation indices in Mexican population. Front Med (Lausanne), 9, 1000147.

Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., ... & Cao, B. (2020). Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. The Lancet, 395(10223), 497-506.

Karimi, A., Shobeiri, P., Kulasinghe, A., & Rezaei, N. (2021). Novel Systemic Inflammation Markers to Predict COVID-19 Prognosis. Front Immunol, 12, 741061.

Lagunas-Rangel, F. A. (2020). Neutrophil-to-lymphocyte ratio and lymphocyte-to-C-reactive protein ratio in patients with severe coronavirus disease 2019 (COVID-19): A meta-analysis. Journal of Medical Virology, 92(10), 1733-1734.

Liu, J., Liu, Y., Xiang, P., Pu, L., Xiong, H., Li, C., ... & Ge, J. (2020). Neutrophil-to-lymphocyte ratio predicts severe illness patients with 2019 novel coronavirus in the early stage. Journal of Translational Medicine, 18(1), 1-12.

McGonagle, D., Sharif, K., O'Regan, A., & Bridgewood, C. (2020). The role of cytokines including interleukin-6 in COVID-19 induced pneumonia and macrophage activation syndrome-like disease. Autoimmunity Reviews, 19(6), 102537.

Sayed, A. A. (2024). Assessing the Diagnostic Values of the Neutrophil-to-Lymphocyte Ratio (NLR) and Systematic Immunoinflammatory Index (SII) as Biomarkers in Predicting COVID-19 Severity: A Multicentre Comparative Study. Medicina (Kaunas), 60(4), 602.

Wang, D., Hu, B., Hu, C., Zhu, F., Liu, X., Zhang, J et al. (2020). Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus–infected pneumonia in Wuhan, China. JAMA, 323(11), 1061-1069.

Yılmaz, A., Taşkın, Ö., Demir, U., & Soylu, V. G. (2023). Predictive Role of Biomarkers in COVID-19 Mortality. Cureus, 15(1), e34173.

Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z. et al. (2020). Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. The Lancet, 395(10229), 1054-1062.

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Опубликован

2024-09-15

Как цитировать

TCHOLADZE, G., PANTSULAIA, I., RATIANI, L., CHIKOVANI, T., JORBENADZE, A., & BOLOTASHVILI, T. (2024). THE ROLE OF INFLAMMATORY INDICES IN PREDICTING THE SEVERITY OF COVID-19. Experimental and Clinical Medicine Georgia, (5), 52–57. https://doi.org/10.52340/jecm.2024.05.08

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