Biomarkers of endothelial dysfunction are associated with poor outcome in COVID-19 patients: A systematic review and

Alireza Mohebbi1, Habib Haybar2, Fatemeh Nakhaei Moghaddam3

  • 1Department of Hematology and Blood Banking, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.

Insights

This study found that elevated levels of endothelial dysfunction biomarkers, including mid-regional pro-adrenomedullin (MR-proADM), von Willebrand factor (vWF), syndecan-1, and soluble fms-like tyrosine kinase-1 (sFLT-1), are associated with poor outcomes in patients with coronavirus disease 2019 (COVID-19). These findings suggest these biomarkers may help predict disease severity.

Area of Science:

  • Cardiovascular Medicine
  • Infectious Diseases
  • Biomarkers

Background:

  • Coronavirus disease 2019 (COVID-19) is linked to endothelial dysfunction.
  • Endothelial biomarkers are often elevated in COVID-19 patients.

Approach:

  • A systematic review and meta-analysis of 74 studies involving 7668 patients was conducted.
  • PubMed and Scopus databases were searched for relevant studies.
  • Pooled standardized mean differences and 95% confidence intervals were calculated using a random-effects model.

Key Points:

  • Patients with poor COVID-19 outcomes exhibited higher levels of von Willebrand factor (vWF), angiopoietin-2 (Ang-2), E-selectin, P-selectin, syndecan-1, mid-regional pro-adrenomedullin (MR-proADM), vascular endothelial growth factor, and soluble fms-like tyrosine kinase-1 (sFLT-1).
  • Lower levels of ADAMTS13 antigen and activity were observed in patients with poor outcomes.
  • Plasminogen activator inhibitor-1 and tissue plasminogen activator levels did not differ significantly between outcome groups.

Conclusions:

  • Elevated endothelial dysfunction biomarkers are associated with increased severity and poorer prognosis in COVID-19.
  • MR-proADM, vWF, syndecan-1, and sFLT-1 show significant links to poor COVID-19 outcomes.
  • These biomarkers may serve as valuable indicators for predicting disease severity and patient prognosis.

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