Association of human myxovirus resistance protein A with severity of COVID-19.


Journal

BMC infectious diseases
ISSN: 1471-2334
Titre abrégé: BMC Infect Dis
Pays: England
ID NLM: 100968551

Informations de publication

Date de publication:
28 Sep 2022
Historique:
received: 20 05 2022
accepted: 21 09 2022
entrez: 28 9 2022
pubmed: 29 9 2022
medline: 1 10 2022
Statut: epublish

Résumé

In this retrospective cohort study, we explored the correlation of blood human myxovirus resistance protein A (MxA) level with severity of disease in hospitalized COVID-19 patients. All 304 patients admitted for COVID-19 in our hospital until 30th of April 2021 were included in this study. MxA was measured from peripheral blood samples in 268 cases. Patients were divided into groups based on their level of MxA on admission. We studied baseline characteristics and severity of disease on admission based on clinical parameters and inflammatory biomarker levels in each group. Severity of disease during hospitalization was determined by the applied level of respiratory support, by the usage of corticosteroids and by the duration of hospitalization. Higher MxA levels on admission were associated with a shorter duration of symptoms before admission, and with more severe disease. Adjusted Odds Ratios for any respiratory support were 9.92 (95%CI 2.11-46.58; p = 0.004) in patients with MxA between 400 μg/L and 799 μg/L (p = 0.004) and 20.08 (95%CI 4.51-89.44; p < 0.001) in patients with MxA ≥ 800 μg/L in comparison with patients with initial MxA < 400 μg/L. The usage of corticosteroids was significantly higher in the high-MxA group (77%) in comparison with the intermediate-MxA group (62%, p = 0.013) and low-MxA group (47%, p < 0.001). Higher initial levels of MxA were associated with more severe COVID-19. MxA may be a helpful additional biomarker to predict the severity of the disease.

Sections du résumé

BACKGROUND BACKGROUND
In this retrospective cohort study, we explored the correlation of blood human myxovirus resistance protein A (MxA) level with severity of disease in hospitalized COVID-19 patients.
METHODS METHODS
All 304 patients admitted for COVID-19 in our hospital until 30th of April 2021 were included in this study. MxA was measured from peripheral blood samples in 268 cases. Patients were divided into groups based on their level of MxA on admission. We studied baseline characteristics and severity of disease on admission based on clinical parameters and inflammatory biomarker levels in each group. Severity of disease during hospitalization was determined by the applied level of respiratory support, by the usage of corticosteroids and by the duration of hospitalization.
RESULTS RESULTS
Higher MxA levels on admission were associated with a shorter duration of symptoms before admission, and with more severe disease. Adjusted Odds Ratios for any respiratory support were 9.92 (95%CI 2.11-46.58; p = 0.004) in patients with MxA between 400 μg/L and 799 μg/L (p = 0.004) and 20.08 (95%CI 4.51-89.44; p < 0.001) in patients with MxA ≥ 800 μg/L in comparison with patients with initial MxA < 400 μg/L. The usage of corticosteroids was significantly higher in the high-MxA group (77%) in comparison with the intermediate-MxA group (62%, p = 0.013) and low-MxA group (47%, p < 0.001).
CONCLUSIONS CONCLUSIONS
Higher initial levels of MxA were associated with more severe COVID-19. MxA may be a helpful additional biomarker to predict the severity of the disease.

Identifiants

pubmed: 36171547
doi: 10.1186/s12879-022-07753-0
pii: 10.1186/s12879-022-07753-0
pmc: PMC9517979
doi:

Substances chimiques

Biomarkers 0
Myxovirus Resistance Proteins 0
Staphylococcal Protein A 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

755

Informations de copyright

© 2022. The Author(s).

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Auteurs

Otto Lehtinen (O)

Department of Pulmonary Diseases and Clinical Allergology, Turku University Hospital and University of Turku, Turku, Finland.

Niklas Broman (N)

Department of Infectious Diseases, Turku University Hospital and University of Turku, Turku, Finland.

Matti Waris (M)

Department of Clinical Microbiology, Turku University Hospital and University of Turku, Turku, Finland.

Tytti Vuorinen (T)

Department of Clinical Microbiology, Turku University Hospital and University of Turku, Turku, Finland.

Ville Peltola (V)

Department of Paediatrics and Adolescent Medicine, Turku University Hospital and University of Turku, Turku, Finland.

Eliisa Löyttyniemi (E)

Department of Biostatistics, University of Turku, Turku, Finland.

Jarmo Oksi (J)

Department of Infectious Diseases, Turku University Hospital and University of Turku, Turku, Finland.

Thijs Feuth (T)

Department of Pulmonary Diseases and Clinical Allergology, Turku University Hospital and University of Turku, Turku, Finland. Matthijs.Feuth@tyks.fi.

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Classifications MeSH