An inflammatory cytokine signature predicts COVID-19 severity and survival.
An inflammatory cytokine signature predicts COVID-19 severity and survival.
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DOI:
10.1038/s41591-020-1051-9
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发表时间:
2020-10
期刊:
影响因子:
82.9
通讯作者:
Gnjatic S
中科院分区:
文献类型:
--
作者:
Del Valle DM;Kim-Schulze S;Huang HH;Beckmann ND;Nirenberg S;Wang B;Lavin Y;Swartz TH;Madduri D;Stock A;Marron TU;Xie H;Patel M;Tuballes K;Van Oekelen O;Rahman A;Kovatch P;Aberg JA;Schadt E;Jagannath S;Mazumdar M;Charney AW;Firpo-Betancourt A;Mendu DR;Jhang J;Reich D;Sigel K;Cordon-Cardo C;Feldmann M;Parekh S;Merad M;Gnjatic S
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.
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DOI:
10.1038/mtna.2014.49
发表时间:
2014-10-07
期刊:
Molecular therapy. Nucleic acids
影响因子:
--
作者:
通讯作者:
--
影响因子:
3.4
作者:
Rich, Jason T.;Neely, J. Gail;Paniello, Randal C.;Voelker, Courtney C. J.;Nussenbaum, Brian;Wang, Eric W.
通讯作者:
Wang, Eric W.
影响因子:
20.3
作者:
Nishimoto, Norihiro;Terao, Kimio;Kakehi, Takahiro
通讯作者:
Kakehi, Takahiro
影响因子:
2.1
作者:
Berger, Moritz;Schmid, Matthias;Beyersmann, Jan
通讯作者:
Beyersmann, Jan
影响因子:
10.5
作者:
Fehr AR;Channappanavar R;Perlman S
通讯作者:
Perlman S