The Impact of Cytokines on Coagulation Profile in COVID-19 Patients: Controlled for Socio-Demographic, Clinical, and Laboratory Parameters
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Published:2024-06-10
Issue:6
Volume:12
Page:1281
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ISSN:2227-9059
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Container-title:Biomedicines
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language:en
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Short-container-title:Biomedicines
Author:
Milentijević Milica12, Katanić Nataša1, Joksimović Bojan3ORCID, Pavlović Aleksandar4, Filimonović Jelena5ORCID, Anđelković Milena2ORCID, Bojović Ksenija3, Elek Zlatan24, Ristić Siniša3, Vasiljević Miloš3, Stevanović Jasmina5, Radomirović Danica2, Elez-Burnjaković Nikolina3ORCID, Lalović Nenad3, Kulić Milan3, Kulić Jovan3, Milić Marija5
Affiliation:
1. Department of Infective Diseases, Faculty of Medicine, University of Pristina Temporarily Settled in Kosovska Mitrovica, 38220 Kosovska Mitrovica, Serbia 2. Clinical Hospital Center Kosovska Mitrovica, 38220 Kosovska Mitrovica, Serbia 3. Faculty of Medicine Foča, University of East Sarajevo, 73300 Foča, Republic of Srpska, Bosnia and Herzegovina 4. Department of Surgery, Faculty of Medicine, University of Pristina Temporarily Settled in Kosovska Mitrovica, 38220 Kosovska Mitrovica, Serbia 5. Department of Epidemiology, Faculty of Medicine, University of Pristina Temporarily Settled in Kosovska Mitrovica, 38220 Kosovska Mitrovica, Serbia
Abstract
Background: Severe coagulation abnormalities are common in patients with COVID-19 infection. We aimed to investigate the relationship between pro-inflammatory cytokines and coagulation parameters concerning socio-demographic, clinical, and laboratory characteristics. Methods: Our study included patients hospitalized during the second wave of COVID-19 in the Republic of Serbia. We collected socio-demographic, clinical, and blood-sample data for all patients. Cytokine levels were measured using flow cytometry. Results: We analyzed data from 113 COVID-19 patients with an average age of 58.15 years, of whom 79 (69.9%) were male. Longer duration of COVID-19 symptoms before hospitalization (B = 69.672; p = 0.002) and use of meropenem (B = 1237.220; p = 0.014) were predictive of higher D-dimer values. Among cytokines, higher IL-5 values significantly predicted higher INR values (B = 0.152; p = 0.040) and longer prothrombin times (B = 0.412; p = 0.043), and higher IL-6 (B = 0.137; p = 0.003) predicted longer prothrombin times. Lower IL-17F concentrations at admission (B = 0.024; p = 0.050) were predictive of higher INR values, and lower IFN-γ values (B = −0.306; p = 0.017) were predictive of higher aPTT values. Conclusions: Our findings indicate a significant correlation between pro-inflammatory cytokines and coagulation-related parameters. Factors such as the patient’s level of education, gender, oxygen-therapy use, symptom duration before hospitalization, meropenem use, and serum concentrations of IL-5, IL-6, IL-17F, and IFN-γ were associated with worse coagulation-related parameters.
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