Author: Herr, C.; Mang, S.; Mozafari, B.; Guenther, K.; Speer, T.; Seibert, M.; Srikakulam, S. K.; Beisswenger, C.; Ritzmann, F.; Keller, A.; Mueller, R.; Smola, S.; Eisinger, D.; Zemlin, M.; Danziger, G.; Volk, T.; Hoersch, S.; Krawczyk, M.; Lammert, F.; Adams, T.; Wagenpfeil, G.; Kindermann, M.; Marcu, C.; Ataya, Z. W. D.; Mittag, M.; Schwarzkopf, K.; Custodis, F.; Grandt, D.; Schaefer, H.; Eltges, K.; Lepper, P.; Bals, R.
Title: Distinct patterns of blood cytokines beyond a cytokine storm predict mortality in COVID-19 Cord-id: 91xxf3l6 Document date: 2021_5_4
ID: 91xxf3l6
Snippet: 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 th
Document: 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. Findings 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. Interpretation Several newly identified blood markers were increased in patients with severe COVID-19 (AAT, EN-RAGE, ICAM-1, myoglobin, SAP, TIMP-1, vWF, decorin, HGF, MMP7, PECAM-1) or in patients that died (FRTN, SCF, TIMP-1, CA-9, CEA, decorin, HGF). The use of established assay technologies allows for rapid translation into clinical practice.
Search related documents:
Co phrase search for related documents- acute phase and luminex instrument: 1
- acute phase and lung disease: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28
- acute phase protein and adaptive immunity: 1
- acute phase protein and lung disease: 1, 2
- adaptive immunity and longitudinal investigation: 1
- adaptive immunity and lung disease: 1, 2, 3, 4, 5, 6, 7, 8
- longitudinal investigation and lung disease: 1
Co phrase search for related documents, hyperlinks ordered by date