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Sci Rep ; 11(1): 21514, 2021 11 02.
Article in English | MEDLINE | ID: covidwho-1500512


Coronavirus disease 2019 (COVID-19) is associated with systemic inflammation. A wide range of adipokines activities suggests they influence pathogenesis and infection course. The aim was to assess concentrations of chemerin, omentin, and vaspin among COVID-19 patients with an emphasis on adipokines relationship with COVID-19 severity, concomitant metabolic abnormalities and liver dysfunction. Serum chemerin, omentin and vaspin concentrations were measured in serum collected from 70 COVID-19 patients at the moment of admission to hospital, before any treatment was applied and 20 healthy controls. Serum chemerin and omentin concentrations were significantly decreased in COVID-19 patients compared to healthy volunteers (271.0 vs. 373.0 ng/ml; p < 0.001 and 482.1 vs. 814.3 ng/ml; p = 0.01, respectively). There were no correlations of analyzed adipokines with COVID-19 severity based on the presence of pneumonia, dyspnea, or necessity of Intensive Care Unit hospitalization (ICU). Liver test abnormalities did not influence adipokines levels. Elevated GGT activity was associated with ICU admission, presence of pneumonia and elevated concentrations of CRP, ferritin and interleukin 6. Chemerin and omentin depletion in COVID-19 patients suggests that this adipokines deficiency play influential role in disease pathogenesis. However, there was no relationship between lower adipokines level and frequency of COVID-19 symptoms as well as disease severity. The only predictive factor which could predispose to a more severe COVID-19 course, including the presence of pneumonia and ICU hospitalization, was GGT activity.

Adipokines/blood , Chemokines/blood , Cytokines/blood , Lectins/blood , Serpins/blood , Aged , Body Mass Index , C-Reactive Protein/analysis , COVID-19/complications , COVID-19/metabolism , COVID-19/pathology , COVID-19/virology , Case-Control Studies , Female , GPI-Linked Proteins/blood , Hospitalization , Humans , Liver/metabolism , Male , Metabolic Syndrome/complications , Middle Aged , SARS-CoV-2/isolation & purification , gamma-Glutamyltransferase/metabolism
Travel Med Infect Dis ; 36: 101782, 2020.
Article in English | MEDLINE | ID: covidwho-595825


INTRODUCTION: There are currently no satisfactory methods for predicting the outcome of Coronavirus Disease-2019 (COVID-19). The aim of this study is to establish a model for predicting the prognosis of the disease. METHODS: The laboratory results were collected from 54 deceased COVID-19 patients on admission and before death. Another 54 recovered COVID-19 patients were enrolled as control cases. RESULTS: Many laboratory indicators, such as neutrophils, AST, γ-GT, ALP, LDH, NT-proBNP, Hs-cTnT, PT, APTT, D-dimer, IL-2R, IL-6, IL-8, IL-10, TNF-α, CRP, ferritin and procalcitonin, were all significantly increased in deceased patients compared with recovered patients on admission. In contrast, other indicators such as lymphocytes, platelets, total protein and albumin were significantly decreased in deceased patients on admission. Some indicators such as neutrophils and procalcitonin, others such as lymphocytes and platelets, continuously increased or decreased from admission to death in deceased patients respectively. Using these indicators alone had moderate performance in differentiating between recovered and deceased COVID-19 patients. A model based on combination of four indicators (P = 1/[1 + e-(-2.658+0.587×neutrophils - 2.087×lymphocytes - 0.01×platelets+0.004×IL-2R)]) showed good performance in predicting the death of COVID-19 patients. When cutoff value of 0.572 was used, the sensitivity and specificity of the prediction model were 90.74% and 94.44%, respectively. CONCLUSIONS: Using the current indicators alone is of modest value in differentiating between recovered and deceased COVID-19 patients. A prediction model based on combination of neutrophils, lymphocytes, platelets and IL-2R shows good performance in predicting the outcome of COVID-19.

Coronavirus Infections/mortality , Pneumonia, Viral/mortality , Aged , Aged, 80 and over , Alkaline Phosphatase/metabolism , Aspartate Aminotransferases/metabolism , Betacoronavirus , C-Reactive Protein/metabolism , COVID-19 , Case-Control Studies , Coronavirus Infections/blood , Coronavirus Infections/metabolism , Female , Ferritins/metabolism , Fibrin Fibrinogen Degradation Products/metabolism , Humans , Interleukin-10/metabolism , Interleukin-6/metabolism , Interleukin-8/metabolism , L-Lactate Dehydrogenase/metabolism , Leukocyte Count , Lymphocyte Count , Male , Middle Aged , Models, Theoretical , Natriuretic Peptide, Brain/metabolism , Neutrophils , Pandemics , Partial Thromboplastin Time , Peptide Fragments/metabolism , Pneumonia, Viral/blood , Pneumonia, Viral/metabolism , Procalcitonin/metabolism , Prognosis , Prothrombin Time , ROC Curve , Receptors, Interleukin-2/metabolism , SARS-CoV-2 , Troponin T/metabolism , Tumor Necrosis Factor-alpha/metabolism , gamma-Glutamyltransferase/metabolism