TY - JOUR
T1 - An inflammatory cytokine signature predicts COVID-19 severity and survival
AU - Del Valle, Diane Marie
AU - Kim-Schulze, Seunghee
AU - Huang, Hsin Hui
AU - Beckmann, Noam D.
AU - Nirenberg, Sharon
AU - Wang, Bo
AU - Lavin, Yonit
AU - Swartz, Talia H.
AU - Madduri, Deepu
AU - Stock, Aryeh
AU - Marron, Thomas U.
AU - Xie, Hui
AU - Patel, Manishkumar
AU - Tuballes, Kevin
AU - Van Oekelen, Oliver
AU - Rahman, Adeeb
AU - Kovatch, Patricia
AU - Aberg, Judith A.
AU - Schadt, Eric
AU - Jagannath, Sundar
AU - Mazumdar, Madhu
AU - Charney, Alexander W.
AU - Firpo-Betancourt, Adolfo
AU - Mendu, Damodara Rao
AU - Jhang, Jeffrey
AU - Reich, David
AU - Sigel, Keith
AU - Cordon-Cardo, Carlos
AU - Feldmann, Marc
AU - Parekh, Samir
AU - Merad, Miriam
AU - Gnjatic, Sacha
N1 - Funding Information:
The data supporting this publication have been made available at ImmPort (https://www.immport.org) under study accession SDY1662. The data set has been de-identified in compliance with the Health Insurance Portability and Accountability Act. ImmPort is a data sharing and data analysis portal for the immunology research community funded by the National Institute of Allergy and Infectious Diseases and the Division of Allergy, Immunology and Transplantation. For further details, refer to the ImmPort user agreement (https://www.immport. org/agreement).
Funding Information:
Authors thank N. Fernandez for help with the clustergrammer tool and members of the Human Immune Monitoring Center for help with specimen handling. The authors wish to acknowledge R. Pande and M. Putnam at Bio-Techne for helping to provide instruments and assay kits for ELLA testing in a Clinical Laboratory Improvement Amendments environment in the timeliest possible way during the health crisis; and R. Hyland from Gilead for giving permission to use the remdesivir-related data. S.G., D.M.D.V., S.K.-S., Ma.M., H.-H.H., P.K., A.R. and Mi.M, were supported by National Cancer Institute U24 grant CA224319. S.G. is additionally supported by grants U01 DK124165 and P01 CA190174. T.H.S. was supported by National Institutes of Health K08AI120806. A.R. was supported by U19 AI118610 and U24 AI1186441. Mi.M. was supported by the Fast Grant fund. The Human Immune Monitoring Center and the Institute for Healthcare Delivery Science received support from Cancer Center P30 grant CA196521. S.P. was supported by grant R01 CA244899.
Publisher Copyright:
© 2020, The Author(s), under exclusive licence to Springer Nature America, Inc.
PY - 2020/10/1
Y1 - 2020/10/1
N2 - Several studies have revealed that the hyper-inflammatory response induced by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a major cause of disease severity and death. However, predictive biomarkers of pathogenic inflammation to help guide targetable immune pathways are critically lacking. We implemented a rapid multiplex cytokine assay to measure serum interleukin (IL)-6, IL-8, tumor necrosis factor (TNF)-α and IL-1β in hospitalized patients with coronavirus disease 2019 (COVID-19) upon admission to the Mount Sinai Health System in New York. Patients (n = 1,484) were followed up to 41 d after admission (median, 8 d), and clinical information, laboratory test results and patient outcomes were collected. We found that high serum IL-6, IL-8 and TNF-α levels at the time of hospitalization were strong and independent predictors of patient survival (P < 0.0001, P = 0.0205 and P = 0.0140, respectively). Notably, when adjusting for disease severity, common laboratory inflammation markers, hypoxia and other vitals, demographics, and a range of comorbidities, IL-6 and TNF-α serum levels remained independent and significant predictors of disease severity and death. These findings were validated in a second cohort of patients (n = 231). We propose that serum IL-6 and TNF-α levels should be considered in the management and treatment of patients with COVID-19 to stratify prospective clinical trials, guide resource allocation and inform therapeutic options.
AB - Several studies have revealed that the hyper-inflammatory response induced by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a major cause of disease severity and death. However, predictive biomarkers of pathogenic inflammation to help guide targetable immune pathways are critically lacking. We implemented a rapid multiplex cytokine assay to measure serum interleukin (IL)-6, IL-8, tumor necrosis factor (TNF)-α and IL-1β in hospitalized patients with coronavirus disease 2019 (COVID-19) upon admission to the Mount Sinai Health System in New York. Patients (n = 1,484) were followed up to 41 d after admission (median, 8 d), and clinical information, laboratory test results and patient outcomes were collected. We found that high serum IL-6, IL-8 and TNF-α levels at the time of hospitalization were strong and independent predictors of patient survival (P < 0.0001, P = 0.0205 and P = 0.0140, respectively). Notably, when adjusting for disease severity, common laboratory inflammation markers, hypoxia and other vitals, demographics, and a range of comorbidities, IL-6 and TNF-α serum levels remained independent and significant predictors of disease severity and death. These findings were validated in a second cohort of patients (n = 231). We propose that serum IL-6 and TNF-α levels should be considered in the management and treatment of patients with COVID-19 to stratify prospective clinical trials, guide resource allocation and inform therapeutic options.
UR - http://www.scopus.com/inward/record.url?scp=85089784099&partnerID=8YFLogxK
U2 - 10.1038/s41591-020-1051-9
DO - 10.1038/s41591-020-1051-9
M3 - Article
C2 - 32839624
AN - SCOPUS:85089784099
SN - 1078-8956
VL - 26
SP - 1636
EP - 1643
JO - Nature Medicine
JF - Nature Medicine
IS - 10
ER -