Ferritin as a predictive biomarker of severity in Covid-19

Background: To prevent the crisis-level shortage of beds in hospitals and for a more efficient support, it’s necessary to early identify coronavirus disease-19 (Covid-19) patients at risk to develop a severe form of the disease.

Objective: The goal of our study was to determine whether biological markers, including the serum ferritin, could predict the severity of the Covid-19.

Methods: One hundred and seventy-one patients, who were admitted to Caen University Hospital, were included retrospectively with a positive diagnosis of Covid-19 by RT-PCR. A serum ferritin measurement was performed for all patients. They were further classified either into a non-severe or a severe group based on their hospitalization in intense care unit (ICU) for mechanical ventilation or death.

Results: Univariate analysis revealed a significant association between increased serum ferritin and CRP levels, obesity, CT scan lesions, pathological respiratory rate, decreased PaO2/FiO2 ratio, the NEWS-2 score and the severe (n = 59) vs the non-severe (n = 112) outcome of Covid-19 patients. However, in a multivariate analysis, only CRP and obesity were associated with the severe form of Covid-19.

Conclusion: While pathological level of serum ferritin at admission is associated with severe form of Covid-19, combination of increased CRP level and obesity would better predict the severity of the disease.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:80

Enthalten in:

Annales de biologie clinique - 80(2022), 4 vom: 01. Juli, Seite 363-368

Sprache:

Englisch

Weiterer Titel:

La ferritine comme biomarqueur prédictif des formes sévères de Covid-19

Beteiligte Personen:

Perottet, Jérémy [VerfasserIn]
Gondolf, Clémentine [VerfasserIn]
Grandhomme, Frédérique [VerfasserIn]
Creveuil, Christian [VerfasserIn]
Allouche, Stéphane [VerfasserIn]

Links:

Volltext

Themen:

9007-73-2
Biomarkers
CRP
Covid-19
Ferritin
Ferritins
Journal Article
Obesity
Predictive markers

Anmerkungen:

Date Completed 15.09.2022

Date Revised 15.09.2022

published: Print

Citation Status MEDLINE

doi:

10.1684/abc.2022.1725

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM346162343