An inflammatory cytokine signature predicts COVID-19 severity and survival
Journal Title: | Nature medicine 2020-10, Vol.26 (10), p.1636-1643 |
Main Author: | Del Valle, Diane Marie |
Other Authors: | Kim-Schulze, Seunghee , Huang, Hsin-Hui , Beckmann, Noam D , Nirenberg, Sharon , Wang, Bo , Lavin, Yonit , Swartz, Talia H , Madduri, Deepu , Stock, Aryeh , Marron, Thomas U , Xie, Hui , Patel, Manishkumar , Tuballes, Kevin , Van Oekelen, Oliver , Rahman, Adeeb , Kovatch, Patricia , Aberg, Judith A , Schadt, Eric , Jagannath, Sundar , Mazumdar, Madhu , Charney, Alexander W , Firpo-Betancourt, Adolfo , Mendu, Damodara Rao , Jhang, Jeffrey , Reich, David , Sigel, Keith , Cordon-Cardo, Carlos , Feldmann, Marc , Parekh, Samir , Merad, Miriam , Gnjatic, Sacha |
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Publisher: | United States: Nature Publishing Group |
ID: | ISSN: 1078-8956 |
Link: | https://www.ncbi.nlm.nih.gov/pubmed/32839624 |
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recordid: | cdi_proquest_miscellaneous_2437121593 |
title: | An inflammatory cytokine signature predicts COVID-19 severity and survival |
format: | Article |
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ispartof: | Nature medicine, 2020-10, Vol.26 (10), p.1636-1643 |
description: | 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 |
language: | eng |
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identifier: | ISSN: 1078-8956 |
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url: | Link |
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