Inflammatory and thrombotic parameters associated with the COVID-19 course in Poland (SARSTer study)

Piotr Czupryna1, Anna Moniuszko-Malinowska1, Magdalena Rogalska2

  • 1Department of Infectious Diseases and Neuroinfections, Medical University of Bialystok, Bialystok, Poland.

Insights

Severe COVID-19 involves altered coagulation and inflammatory markers, including lower platelet and lymphocyte counts. Key predictors for poor clinical improvement are high interleukin-6, elevated D-dimer, and low platelet counts.

Area of Science:

  • Medical research
  • Infectious diseases
  • Hematology

Background:

  • COVID-19 can lead to severe disease with significant morbidity and mortality.
  • Understanding the biomarkers associated with severe COVID-19 and lack of clinical improvement is crucial for patient management.

Purpose of the Study:

  • To assess coagulation and inflammatory markers in severe COVID-19.
  • To identify predictors of no clinical improvement in COVID-19 patients.

Main Methods:

  • Analysis of 2590 adult COVID-19 patients from the SARSTer national database.
  • Examination of clinical and laboratory parameters including C-reactive protein (CRP), white blood cells (WBCs), neutrophil and lymphocyte counts, procalcitonin, ferritin, interleukin-6 (IL-6), D-dimer, and platelet (PLT) count.
  • Assessment of parameters before and after treatment with remdesivir, tocilizumab, dexamethasone, and anticoagulants.

Main Results:

  • Significant differences in most markers between mild and severe COVID-19 cases before treatment (p < 0.05).
  • Elevated CRP, neutrophils, D-dimer, and IL-6 in patients with pulmonary embolism.
  • Multivariate analysis identified IL-6 > 100 pg/ml, D-dimer > 1000 ng/ml, and PLT < 150,000/μl as predictors of no clinical improvement.

Conclusions:

  • Severe COVID-19 is characterized by lower platelet and lymphocyte counts, and higher D-dimer, CRP, neutrophil, and IL-6 levels.
  • High IL-6, D-dimer, and low platelet count are significant predictors of poor clinical outcomes in COVID-19.
Abstract

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