Your browser doesn't support javascript.
loading
Distinct Patterns of Blood Cytokines Beyond a Cytokine Storm Predict Mortality in COVID-19.
Herr, Christian; Mang, Sebastian; Mozafari, Bahareh; Guenther, Katharina; Speer, Thimoteus; Seibert, Martina; Srikakulam, Sanjay Kumar; Beisswenger, Christoph; Ritzmann, Felix; Keller, Andreas; Mueller, Rolf; Smola, Sigrun; Eisinger, Dominic; Zemlin, Michael; Danziger, Guy; Volk, Thomas; Hoersch, Sabrina; Krawczyk, Marcin; Lammert, Frank; Adams, Thomas; Wagenpfeil, Gudrun; Kindermann, Michael; Marcu, Constantin; Ataya, Zuhair Wolf Dietrich; Mittag, Marc; Schwarzkopf, Konrad; Custodis, Florian; Grandt, Daniel; Schaefer, Harald; Eltges, Kai; Lepper, Philipp M; Bals, Robert.
Afiliação
  • Herr C; Department of Internal Medicine V - Pulmonology, Allergology and Critical Care Medicine, Saarland University, Homburg, 66421, Germany.
  • Mang S; Department of Internal Medicine V - Pulmonology, Allergology and Critical Care Medicine, Saarland University, Homburg, 66421, Germany.
  • Mozafari B; Department of Internal Medicine V - Pulmonology, Allergology and Critical Care Medicine, Saarland University, Homburg, 66421, Germany.
  • Guenther K; Department of Internal Medicine V - Pulmonology, Allergology and Critical Care Medicine, Saarland University, Homburg, 66421, Germany.
  • Speer T; Department of Internal Medicine IV - Nephrology and Hypertension & Translational Cardio-Renal Medicine, Saarland University, Homburg, 66421, Germany.
  • Seibert M; Department of Internal Medicine V - Pulmonology, Allergology and Critical Care Medicine, Saarland University, Homburg, 66421, Germany.
  • Srikakulam SK; Department of Internal Medicine V - Pulmonology, Allergology and Critical Care Medicine, Saarland University, Homburg, 66421, Germany.
  • Beisswenger C; Department of Internal Medicine V - Pulmonology, Allergology and Critical Care Medicine, Saarland University, Homburg, 66421, Germany.
  • Ritzmann F; Department of Internal Medicine V - Pulmonology, Allergology and Critical Care Medicine, Saarland University, Homburg, 66421, Germany.
  • Keller A; Clinical Bioinformatics, Saarland University, Homburg, 66421, Germany.
  • Mueller R; Helmholtz-Institute for Pharmaceutical Science Saarland, Saarbrücken, 66123, Germany.
  • Smola S; Institute for Virology, Saarland University, Homburg, 66421, Germany.
  • Eisinger D; Myriad RBM Inc., Austin, TX, 78759, USA.
  • Zemlin M; Department of General Pediatrics and Neonatology, Saarland University, Homburg, 66421, Germany.
  • Danziger G; Department of Internal Medicine V - Pulmonology, Allergology and Critical Care Medicine, Saarland University, Homburg, 66421, Germany.
  • Volk T; Department of Anesthesiology, Intensive Care Medicine and Pain Therapy, Saarland University, Homburg, 66421, Germany.
  • Hoersch S; Department of Anesthesiology, Intensive Care Medicine and Pain Therapy, Saarland University, Homburg, 66421, Germany.
  • Krawczyk M; Department of Internal Medicine II - Gastroenterology, Saarland University, Homburg, 66421, Germany.
  • Lammert F; Department of Internal Medicine II - Gastroenterology, Saarland University, Homburg, 66421, Germany.
  • Adams T; Department of Internal Medicine II - Gastroenterology, Saarland University, Homburg, 66421, Germany.
  • Wagenpfeil G; Institute for Medical Biometry, Epidemiology and Medical Informatics, Saarland University, Homburg, 66421, Germany.
  • Kindermann M; Department of Internal Medicine, Cardiology and Intensive Care Medicine, Caritas Hospital St. Theresia Saarbrücken, Saarbrücken, 66113, Germany.
  • Marcu C; Department of Internal Medicine, Cardiology and Intensive Care Medicine, Caritas Hospital St. Theresia Saarbrücken, Saarbrücken, 66113, Germany.
  • Ataya ZWD; Department of Gastroenterology, Internal and Intensive Care Medicine, Caritas Hospital St. Josef Saarbrücken, Saarbrücken, 66125, Germany.
  • Mittag M; Department of Anesthesiology, Gastroenterology and Intensive Care Medicine, Saarbrücken Hospital, Saarbrücken, 66119, Germany.
  • Schwarzkopf K; Department of Anesthesiology, Gastroenterology and Intensive Care Medicine, Saarbrücken Hospital, Saarbrücken, 66119, Germany.
  • Custodis F; Department of Anesthesiology, Gastroenterology and Intensive Care Medicine, Saarbrücken Hospital, Saarbrücken, 66119, Germany.
  • Grandt D; Department of Anesthesiology, Gastroenterology and Intensive Care Medicine, Saarbrücken Hospital, Saarbrücken, 66119, Germany.
  • Schaefer H; Department of Internal Medicine and Pulmonology, SHG-Hospital Völklingen, Saarbrücken, 66333, Germany.
  • Eltges K; Department of Internal Medicine and Pulmonology, SHG-Hospital Völklingen, Saarbrücken, 66333, Germany.
  • Lepper PM; Department of Internal Medicine V - Pulmonology, Allergology and Critical Care Medicine, Saarland University, Homburg, 66421, Germany.
  • Bals R; Department of Internal Medicine V - Pulmonology, Allergology and Critical Care Medicine, Saarland University, Homburg, 66421, Germany.
J Inflamm Res ; 14: 4651-4667, 2021.
Article em En | MEDLINE | ID: mdl-34552347
BACKGROUND: COVID-19 comprises several severity stages ranging from oligosymptomatic disease to multi-organ failure and fatal outcomes. The mechanisms why COVID-19 is a mild disease in some patients and progresses to a severe multi-organ and often fatal disease with respiratory failure are not known. Biomarkers that predict the course of disease are urgently needed. The aim of this study was to evaluate a large spectrum of established laboratory measurements. PATIENTS AND METHODS: Patients from the prospective PULMPOHOM and CORSAAR studies were recruited and comprised 35 patients with COVID-19, 23 with conventional pneumonia, and 28 control patients undergoing elective non-pulmonary surgery. Venous blood was used to measure the serum concentrations of 79 proteins by Luminex multiplex immunoassay technology. Distribution of biomarkers between groups and association with disease severity and outcomes were analyzed. RESULTS: The biomarker profiles between the three groups differed significantly with elevation of specific proteins specific for the respective conditions. Several biomarkers correlated significantly with disease severity and death. Uniform manifold approximation and projection (UMAP) analysis revealed a significant separation of the three disease groups and separated between survivors and deceased patients. Different models were developed to predict mortality based on the baseline measurements of several protein markers. A score combining IL-1ra, IL-8, IL-10, MCP-1, SCF and CA-9 was associated with significantly higher mortality (AUC 0.929). DISCUSSION: Several newly identified blood markers were significantly increased in patients with severe COVID-19 (AAT, EN-RAGE, myoglobin, SAP, TIMP-1, vWF, decorin) or in patients that died (IL-1ra, IL-8, IL-10, MCP-1, SCF, CA-9). The use of established assay technologies allows for rapid translation into clinical practice.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article