BACKGROUND: The aim of this study was to assess the diagnostic utility of iron homeostasis determinations for prediction of severity of COVID-19.
MATERIAL AND METHODS: This was a retrospective study enrolling a total of 50 patients diagnosed with the novel coronavirus disease-19 (COVID-19) from February 27, 2020 to March 30, 2020, including a severe group (12 patients) and a mild group (38 patients). For the control group, 50 healthy people were examined during the same period. We compared clinical laboratory data and iron homeostasis biomarkers among the 3 groups. ROC curve analysis was used to assess diagnoses.
RESULTS: Patients diagnosed with severe COVID-19 had higher hepcidin and serum ferritin levels than in other groups (p<0.001). A combination test of hepcidin and serum ferritin provided the best specificity and sensitivity in the prognosis of COVID-19 severity. Logistic regression analysis showed hepcidin and serum ferritin independently contributed to the severity of COVID-19. Hepcidin and serum ferritin tandem testing predicted COVID-19 severity with 94.6% specificity, while hepcidin and serum ferritin parallel testing had a sensitivity of 95.7%.
CONCLUSIONS: Iron homeostasis had a robust association with the occurrence of severe COVID-19. Iron homeostasis determinations were specific and sensitive for the early prediction of disease severity in COVID-19 patients and thus have clinical utility.

Keywords: COVID-19, Hepcidins, Iron Metabolism Disorders, Area Under Curve, Betacoronavirus, COVID-19, Coronavirus Infections, Ferritins, Iron, Logistic Models, Pandemics, Pneumonia, Viral, ROC Curve, SARS-CoV-2, Sensitivity and Specificity