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An inflammatory cytokine signature predicts COVID-19 severity and survival.
Del Valle, Diane Marie; 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.
Afiliación
  • Del Valle DM; Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Kim-Schulze S; Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Huang HH; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Beckmann ND; Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Nirenberg S; Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Wang B; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Lavin Y; Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Swartz TH; Institute for Health Care Delivery Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Madduri D; TCI Biostatistics Shared Resource Facility, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Stock A; Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Marron TU; Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Xie H; Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Patel M; Department of Scientific Computing, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Tuballes K; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Van Oekelen O; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Rahman A; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Kovatch P; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Aberg JA; Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Schadt E; Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Jagannath S; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Mazumdar M; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Charney AW; Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Firpo-Betancourt A; Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Mendu DR; Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Jhang J; Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Reich D; Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Sigel K; Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Cordon-Cardo C; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Feldmann M; Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Parekh S; Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Merad M; Department of Scientific Computing, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Gnjatic S; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Nat Med ; 26(10): 1636-1643, 2020 10.
Article en En | MEDLINE | ID: mdl-32839624
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-1ß 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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neumonía Viral / Interleucina-8 / Interleucina-6 / Factor de Necrosis Tumoral alfa / Infecciones por Coronavirus / Interleucina-1beta Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Nat Med Asunto de la revista: BIOLOGIA MOLECULAR / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neumonía Viral / Interleucina-8 / Interleucina-6 / Factor de Necrosis Tumoral alfa / Infecciones por Coronavirus / Interleucina-1beta Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Nat Med Asunto de la revista: BIOLOGIA MOLECULAR / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos