Serum ferritin at admission in hospitalized COVID-19 patients as a predictor of mortality

• Autor(a) principal: Lino,Katia
• Data de Publicação: 2021
• Outros Autores: Guimarães,Gabriel Macedo Costa, Alves,Lilian Santos, Oliveira,Any Caroline, Faustino,Renan, Fernandes,Cintia Souza, Tupinambá,Gleiser, Medeiros,Thalia, Silva,Andrea Alice da, Almeida,Jorge Reis
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Brazilian Journal of Infectious Diseases
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-86702021000200207
• topic: SARS-CoV-2; Ferritin; Mortality; Cytokine storm; Hemophagocytic lymphohistiocytosis

ABSTRACT Introduction: Some COVID-19 patients have higher mortality and the responsible factors for this unfavorable outcome is still not well understood. Objective: To study the association between ferritin levels at admission, representing an inflammatory state, and hospital mortality in COVID-19 patients. Methods: From May through July 2020, SARS-CoV-2 positive patients with moderate to severe clinical symptoms were evaluated at admission, regarding clinical and laboratory data on renal and hepatic function, hematologic parameters, cytomegalovirus co-infection, and acute phase proteins. Results: A total of 97 patients were included; mean age = 59.9 ± 16.3 years, 58.8% male, 57.7% non-white, in-hospital mortality = 45.4%. Age, ferritin, C-reactive protein, serum albumin and creatinine were significantly associated with mortality. Ferritin showed area under the curve (AUC) of 0.79 (p < 0.001) for the cut-off of 1873.0 ng/mL, sensitivity of 68.4% and specificity of 79.3% in predicting in-hospital mortality. Age ≥60 years had an odds ratio (OR) of 10.5 (95% CI = 1.8–59.5; p = 0.008) and ferritin ≥1873.0 ng/mL had an OR of 6.0 (95% CI = 1.4–26.2; p = 0.016), both independently associated with mortality based on logistic regression analysis. Conclusion: The magnitude of inflammation present at admission of COVID-19 patients, represented by high ferritin levels, is independently predictive of in-hospital mortality.