Diagnostics (Nov 2022)

Evaluation of Hepcidin Level in COVID-19 Patients Admitted to the Intensive Care Unit

  • Marco Ciotti,
  • Marzia Nuccetelli,
  • Massimo Pieri,
  • Carlo Maria Petrangeli,
  • Alfredo Giovannelli,
  • Terenzio Cosio,
  • Luigi Rosa,
  • Piera Valenti,
  • Francesca Leonardis,
  • Jacopo Maria Legramante,
  • Sergio Bernardini,
  • Elena Campione,
  • Marilena Minieri

DOI
https://doi.org/10.3390/diagnostics12112665
Journal volume & issue
Vol. 12, no. 11
p. 2665

Abstract

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Coronavirus disease 2019 (COVID-19) presents a clinical spectrum that ranges from a mild condition to critical illness. Patients with critical illness present respiratory failure, septic shock and/or multi-organ failure induced by the so called “cytokine storm”. Inflammatory cytokines affect iron metabolism, mainly inducing the synthesis of hepcidin, a hormone peptide not routinely measured. High levels of hepcidin have been associated with the severity of COVID-19. The aim of this study was to analyze, retrospectively, the levels of hepcidin in a group of COVID-19 patients admitted to the intensive care unit (ICU) of the Policlinico Tor Vergata of Rome, Italy. Thirty-eight patients from November 2020 to May 2021 were enrolled in the study. Based on the clinical outcome, the patients were assigned to two groups: survivors and non-survivors. Moreover, a series of routine laboratory parameters were monitored during the stay of the patients in the ICU and their levels correlated to the outcome. Statistical differences in the level of hepcidin, D-dimer, IL-6, LDH, NLR, neutrophils level, CRP, TNF-α and transferrin were observed between the groups. In particular, hepcidin values showed significantly different median concentrations (88 ng/mL vs. 146 ng/mL) between survivors and non-survivors. In addition, ROC curves analysis revealed sensitivity and specificity values of 74% and 76%, respectively, at a cut-off of 127 (ng/mL), indicating hepcidin as a good biomarker in predicting the severity and mortality of COVID-19 in ICU patients.

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