The Impact of Cytokines on Coagulation Profile in COVID-19 Patients: Controlled for Socio-Demographic, Clinical, and Laboratory Parameters.
Milica MilentijevićNataša KatanićBojan JoksimovićAleksandar PavlovićJelena FilimonovićMilena AnđelkovićKsenija BojovićZlatan ElekSiniša RistićMiloš VasiljevićJasmina StevanovićDanica RadomirovićNikolina Elez-BurnjakovićNenad LalovićMilan KulićJovan KulićMarija MilićPublished in: Biomedicines (2024)
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.
Keyphrases
- sars cov
- coronavirus disease
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- flow cytometry
- prognostic factors
- emergency department
- healthcare
- immune response
- peritoneal dialysis
- dendritic cells
- stem cells
- mesenchymal stem cells
- drug induced
- big data
- deep learning
- bone marrow
- artificial intelligence