Early stimulated immune responses predict clinical disease severity in hospitalized COVID-19 patients

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作者
Rebecka Svanberg
Cameron MacPherson
Adrian Zucco
Rudi Agius
Tereza Faitova
Michael Asger Andersen
Caspar da Cunha-Bang
Lars Klingen Gjærde
Maria Elizabeth Engel Møller
Patrick Terrence Brooks
Birgitte Lindegaard
Adin Sejdic
Zitta Barrella Harboe
Anne Ortved Gang
Ditte Stampe Hersby
Christian Brieghel
Susanne Dam Nielsen
Daria Podlekareva
Annemette Hald
Jakob Thaning Bay
Hanne Marquart
Jens Lundgren
Anne-Mette Lebech
Marie Helleberg
Carsten Utoft Niemann
Sisse Rye Ostrowski
机构
[1] Copenhagen University Hospital,Department of Hematology
[2] Rigshospitalet,PERSIMUNE Center of Excellence
[3] Copenhagen University Hospital,Department of Clinical Immunology
[4] Rigshospitalet,Department of Pulmonary and Infectious Diseases
[5] Copenhagen University Hospital,Department of Clinical Medicine
[6] Rigshospitalet,Department of Virus & Microbiological Special Diagnostics, Division of Infectious Disease Preparedness and Research
[7] Copenhagen University Hospital,Department of Medicine
[8] Nordsjællands Hospital,Department of Infectious Diseases
[9] University of Copenhagen,Department of Respiratory Medicine
[10] Statens Serum Institut,undefined
[11] Section of Infectious Diseases,undefined
[12] Herlev and Gentofte Hospital,undefined
[13] Copenhagen University Hospital,undefined
[14] Rigshospitalet,undefined
[15] Bispebjerg Hospital,undefined
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摘要
The manifestation of COVID-19 varies from asymptomatic to severe pneumonia requiring ventilator support or multi-organ failure. It is still poorly understood how the immune response to SARS-CoV-2 affects the development of severe disease. There is also a lack of clinical tools to identify patients early with high risk of poor outcome. Here, we looked for potential markers of disease severity in hospitalized COVID-19 patients using method to measure individual immune reactions. We found associations between impaired immune response pathways at time of hospitalization and development of severe and critical COVID-19 disease, and we identified a number of immune markers that could be used to predict poor outcome. Our findings could help identify at-risk patients upon hospitalization, enabling closer monitoring and earlier interventions.
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