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Objective: Considering the published manuscripts on this subject, it is thought that IL-1B and azurocidin may be diagnostic and prognostic factors in severe COVID-19 disease. This study aimed to determine whether azurocidin and IL-1β are useful biomarkers and are associated with disease exacerbation in patients needing advanced treatment options. Material and Method: Our study was performed retrospectively. The data of a total of 291 patients followed in the hospital due to COVID-19 were collected. Among these patients, 66 randomly selected patients were included in this study. The control group consisted of 24 healthy individuals referred to the infectious disease outpatient clinic who weren’t no diagnosis of COVID-19 infection or any other infection. After the samples were taken into tubes without anticoagulant, they were kept at room temperature for 30 min. Afterwards, it was centrifuged at 1000xg for 15 min at +4° according to the instructions of the ELISA kit we used. The remaining serum was transferred to Eppendorf tubes and stored at −80° throughout this study. Results: A statistically significant strong positive correlation was determined between IL1β and azurocidin. A statistically significant weak positive correlation was found between IL1β and CRP, ferritin and neutrophil count, weak negative correlation with albumin, and moderately strong positive correlation with leukocyte count. Moreover, a statistically significant weak positive correlation was found between azurucidin and CRP, ferritin, and neutrophil counts. Conclusion: Azurocidin and IL-1β may serve as a potential therapeutic target for patients at risk of developing systemic multi-organ failure, with improved patient prognosis and prevention of death in severely ill patients. Although these results may contribute to the improvement of the follow-up and treatment of the patients and reduce mortality rates, there is a need for randomized controlled studies with a larger number of patients to be performed in the future.
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Background/aim: Biochemical markers are needed to show lung involvement in COVID-19 disease. Galectin-3 is known to play a key role in the inflammation and fibrosis process. We aimed to evaluate the predictive role of galectin-3 levels for pneumonia in patients with COVID-19. Materials and methods: Total of 176 patients with COVID-19, confirmed with reverse transcriptase polymerase chain reaction, admitted to the Erzurum Regional Training and Research Hospital was analyzed. The study was designed as a cross sectional. The baseline data of laboratory examinations, including galectin-3 were collected at the time of diagnosis. CT images evaluated by a single radiologist according to the recommendation of the Radiological Society of North America Expert Consensus Document for pulmonary involvement. The severity of COVID-19 pneumonia was assessed using the total severity score. Results: The mean galectin-3 level in patients with typical pneumonia was found to be significantly higher than those patients with atypical (p < 0.01) and indeterminate appearance (p < 0.01) and patients without pneumonia (p < 0.01). The severity of lung involvement was significantly associated with Galectin-3 levels (p < 0.01 r: 0.76). Stepwise logistic regression model showed that the levels of ferritin (odds ratio [OR] = 0.05, p: 0.08) and galectin-3 (OR = 0.1, p < 0.01) were significantly and independently associated with typical pneumoniain COVID-19 patients. When COVID-19 patients were evaluated in terms of typical pneumonia, we determined a cut-off value of 18.9 ng/mL for galectin-3 via ROC analysis (87% sensitivity; 73% specificity; area under curve (AUC): 0.89; p < 0.001). Conclusion: Galectin-3 was found as a diagnostic tool for COVID-19 associated typical pneumonia and as an indicator of both pneumonia and its severity.