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

Author:

Luciani Lauren L1,Miller Leigh M23,Zhai Bo2,Clarke Karen4,Hughes Kramer Kailey5,Schratz Lucas J2,Balasubramani G K6,Dauer Klancie6,Nowalk M Patricia4,Zimmerman Richard K4,Shoemaker Jason E17,Alcorn John F23

Affiliation:

1. Department of Chemical and Petroleum Engineering, University of Pittsburgh , Pittsburgh, Pennsylvania , USA

2. Department of Pediatrics, UPMC Children's Hospital of Pittsburgh , Pittsburgh, Pennsylvania , USA

3. Department of Immunology, University of Pittsburgh , Pittsburgh, Pennsylvania , USA

4. Department of Family Medicine and Clinical Epidemiology, University of Pittsburgh , Pittsburgh, Pennsylvania , USA

5. Department of Internal Medicine, University of Pittsburgh , Pittsburgh, Pennsylvania , USA

6. Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh , Pittsburgh, Pennsylvania , USA

7. Department of Computational and Systems Biology, University of Pittsburgh , Pittsburgh, Pennsylvania , USA

Abstract

AbstractBackgroundThe 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.MethodsCytokine 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).ResultsWe 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.ConclusionsThis 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.

Funder

National Institutes of Health

DSF Charitable Foundation.

Centers for Disease Control and Prevention

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Oncology

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