| Literature DB >> 32839624 |
Diane Marie Del Valle1,2,3, Seunghee Kim-Schulze1,2,3,4, Hsin-Hui Huang5,6,7, Noam D Beckmann8, Sharon Nirenberg8,9, Bo Wang10, Yonit Lavin10, Talia H Swartz10, Deepu Madduri10, Aryeh Stock11, Thomas U Marron2,3,10, Hui Xie1, Manishkumar Patel1, Kevin Tuballes1, Oliver Van Oekelen8, Adeeb Rahman1,2,3,8, Patricia Kovatch8,9, Judith A Aberg10, Eric Schadt8, Sundar Jagannath10, Madhu Mazumdar5,6,7, Alexander W Charney8, Adolfo Firpo-Betancourt11, Damodara Rao Mendu11, Jeffrey Jhang11, David Reich12, Keith Sigel10, Carlos Cordon-Cardo11, Marc Feldmann13, Samir Parekh3,4,10, Miriam Merad1,2,3,4,10, Sacha Gnjatic14,15,16,17,18,19.
Abstract
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.Entities:
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Year: 2020 PMID: 32839624 PMCID: PMC7869028 DOI: 10.1038/s41591-020-1051-9
Source DB: PubMed Journal: Nat Med ISSN: 1078-8956 Impact factor: 53.440