An inflammatory cytokine signature predicts COVID-19 severity and survival
| Autor: | Jeffrey S. Jhang, Keith Sigel, Manishkumar Patel, Hsin-Hui Huang, Carlos Cordon-Cardo, Diane Marie Del Valle, Talia H. Swartz, Kevin Tuballes, Judith A. Aberg, David Reich, Adolfo Firpo-Betancourt, Noam D. Beckmann, Sundar Jagannath, Aryeh Stock, Bo Wang, Samir Parekh, Patricia Kovatch, Oliver Van Oekelen, Damodara Rao Mendu, Hui Xie, Adeeb Rahman, Eric E. Schadt, Madhu Mazumdar, Yonit Lavin, Miriam Merad, Marc Feldmann, Alexander W. Charney, Sharon Nirenberg, Thomas U. Marron, Sacha Gnjatic, Deepu Madduri, Seunghee Kim-Schulze |
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| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
medicine.medical_specialty medicine.medical_treatment Inflammation Article General Biochemistry Genetics and Molecular Biology 03 medical and health sciences 0302 clinical medicine Internal medicine Severity of illness medicine Humans Survival rate SARS-CoV-2 business.industry COVID-19 General Medicine medicine.disease Clinical trial Pneumonia 030104 developmental biology Cytokine 030220 oncology & carcinogenesis Cohort Cytokines medicine.symptom Outcomes research Cytokine Release Syndrome business |
| Zdroj: | Nature Medicine Nat Med |
| ISSN: | 1546-170X 1078-8956 |
| Popis: | 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 |
| Databáze: | OpenAIRE |
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