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  • Journal of Medicine and Palliative Care
  • Cilt: 6 Sayı: 3
  • Importance and comparison of inflammatory biomarkers in COVID-19 patients follow-up in intensive car...

Importance and comparison of inflammatory biomarkers in COVID-19 patients follow-up in intensive care unit

Authors : Mustafa Deniz, Esra Özdemir
Pages : 183-187
View : 29 | Download : 10
Publication Date : 2025-06-18
Article Type : Research Paper
Abstract :Aims: This study aimed to determine the power of laboratory parameters and biomarkers in predicting the prognosis of patients admitted to the intensive care units (ICU) with COVID-19 in a state hospital. Methods: In this retrospective study, the hospital automation system of all patients admitted to Bolu İzzet Baysal State Hospital’s ICUs because of COVID-19 between March 2020 and December 2021 were recorded and examined. Demographic data, blood tests, APACHE II score, and inflammatory biomarkers were also recorded. The results of patients who survived and did not survive were compared. Results: The study included 452 patients and the mortality was 72.6%. Exitus patients had higher APACHE II scores and age. The mortality rate was significantly higher in patients with neurological disorders. For patients who did not survive, blood leukocyte, procalcitonin, LDH, and creatinine levels were higher, whereas blood lymphocyte and thrombocyte levels were lower. Based on the ROC analyses, the lymphocyte count AUC was 0.624, APACHE II score AUC was 0.618, serum procalcitonin level AUC was 0.584, and platelet count was 0.560. Age, APACHE II score, neutrophil-to-lymphocyte ratio, and lymphocyte count were associated with mortality according to a univariate logistic regression analysis. Age (OR (95 CI%)1.02 (1.00-1.04, p=0.018)), APACHE II (OR (95 CI%)1.05 (1.01-1.09, p=0.018)), and neutrophil to lymphocyte ratio (OR (95 CI%) 1.02 (1.01-1.03, p=0.003)) were associated with mortality according to multivariate logistic regression Conclusion: For patients admitted to the ICU, laboratory parameters and inflammatory biomarkers can help in diagnosis, follow-up, and prognosis in COVID-19. We believe that combinations of hemogram parameters are effective in predicting clinical follow-up and prognosis.
Keywords : Yoğın bakım, Mortalite, Covid-19, lenfosit, lökosit lenfosit oranı

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