Blood Inflammatory Biomarkers Differentiate Inpatient and Outpatient Coronavirus Disease 2019 From Influenza

Abstract Background The ongoing circulation of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) poses a diagnostic challenge because symptoms of coronavirus disease 2019 (COVID-19) are difficult to distinguish from other respiratory diseases. Our goal was to use statistical analyses and...

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Veröffentlicht in:Open Forum Infectious Diseases 2023-03, Vol.10 (3), p.ofad095-ofad095
Hauptverfasser: Luciani, Lauren L, Miller, Leigh M, Zhai, Bo, Clarke, Karen, Hughes Kramer, Kailey, Schratz, Lucas J, Balasubramani, G K, Dauer, Klancie, Nowalk, M Patricia, Zimmerman, Richard K, Shoemaker, Jason E, Alcorn, John F
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Sprache:eng
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Zusammenfassung:Abstract Background The ongoing circulation of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) poses a diagnostic challenge because symptoms of coronavirus disease 2019 (COVID-19) are difficult to distinguish from other respiratory diseases. Our goal was to use statistical analyses and machine learning to identify biomarkers that distinguish patients with COVID-19 from patients with influenza. Methods Cytokine levels were analyzed in plasma and serum samples from patients with influenza and COVID-19, which were collected as part of the Centers for Disease Control and Prevention's Hospitalized Adult Influenza Vaccine Effectiveness Network (inpatient network) and the US Flu Vaccine Effectiveness (outpatient network). Results We determined that interleukin (IL)-10 family cytokines are significantly different between COVID-19 and influenza patients. The results suggest that the IL-10 family cytokines are a potential diagnostic biomarker to distinguish COVID-19 and influenza infection, especially for inpatients. We also demonstrate that cytokine combinations, consisting of up to 3 cytokines, can distinguish SARS-CoV-2 and influenza infection with high accuracy in both inpatient (area under the receiver operating characteristics curve [AUC] = 0.84) and outpatient (AUC = 0.81) groups, revealing another potential screening tool for SARS-CoV-2 infection. Conclusions This study not only reveals prospective screening tools for COVID-19 infections that are independent of polymerase chain reaction testing or clinical condition, but it also emphasizes potential pathways involved in disease pathogenesis that act as potential targets for future mechanistic studies. Influenza and COVID-19 can be separated by concentrations of serum inflammatory cytokines. IL-10 family cytokines differentiate inpatient and outpatient COVID-19 from influenza. Machine learning can define novel combinations of serum biomarkers that separate COVID-19 from influenza.
ISSN:2328-8957
2328-8957
DOI:10.1093/ofid/ofad095