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DOI: 10.1055/s-0043-1761126
Potential Predictors for Disease Severity in Hospitalised COVID-19 Patients
Authors
Background and Objectives Several studies have shown that SARS-CoV-2 can induce a cytokine release storm which is a major cause of disease severity and death. Therefore, cytokine levels in the serum may predict disease severity and survival in patients with COVID-19.
Methods We included 88 COVID-19 patients who were hospitalised at the Division of Pulmonology of the Vienna General Hospital between January and May 2021 in this observational trial. Blood samples for serum peptide measurements were drawn at the time closest to hospitalisation, at day 5, 9 and 13(±1). We correlated the type of ventilation (nasal oxygen therapy, high flow nasal canula, non-invasive ventilation or mechanical ventilation), occurrence of consolidations on chest X-ray or if available HRCT and the level of care (general ward, IMCU or ICU) with serum peptide values. We assessed the concentration of cytokines (IL-1a, IL-1b, IL-1RA, IL-6, L-7, L-10, IFN- γ and TNF-α), chemokines (CCL-3, CCL-4 and CCL-7) and growth factors (G-CSF, GM-CSF and VEGF).
Results Patients were 68 years of age (median) and stayed in hospital between 5-171 days. The peak inspiratory pressure in patients receiving non-invasive ventilation or mechanical ventilation was significantly associated with IL-1RA, G-CSF and IFN-γ and the fraction of inspired oxygen in patients receiving high-flow nasal canula oxygen therapy was significantly associated with IL-6, IL-7, IFN-γ, and CCL-7. Results are shown in [Table 1]. No investigated cytokine correlated with the type of ventilation, occurrence of consolidations on imaging and in-hospital mortality.
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Conclusions In conclusion, concentrations of IL-1RA, G-CSF, IL-6, IL-7, IFN-γ, and CCL-7 were associated with more severe disease progression in hospitalised COVID-19 patients.
Publication History
Article published online:
09 March 2023
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