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1.
Viruses ; 14(4)2022 04 10.
Article in English | MEDLINE | ID: covidwho-1786081

ABSTRACT

Risk stratification of coronavirus disease-19 (COVID-19) patients by simple markers is critical to guide treatment. We studied the predictive value of soluble interleukin-2 receptor (sIL-2R) for the early identification of patients at risk of developing severe clinical outcomes. sIL-2R levels were measured in 197 patients (60.9% males; median age 61 years; moderate disease, n = 65; severe, n = 132, intubated and/or died, n = 42). All patients received combined immunotherapies (anakinra ± corticosteroids ± intravenous immunoglobulin ± tocilizumab) according to our local treatment algorithm. The endpoint was the composite event of intubation due to severe respiratory failure (SRF) or mortality. Median (interquartile range) sIL-2R levels were significantly higher in patients with severe disease, compared with those with moderate disease (6 (6.2) vs. 5.2 (3.4) ng/mL, p = 0.017). sIL-2R was the strongest laboratory predictive factor for intubation/death (hazard ratio 1.749, 95%CI 1.041-2.939, p = 0.035) after adjustment for other known risk factors. Youden's index revealed optimal sIL-2R cut-off for predicting intubation/death at 9 ng/mL (sensitivity: 67%; specificity: 86%; positive and negative predictive value: 57% and 91%, respectively). Delta sIL-2R between the day of event or discharge minus admission date was higher in patients that intubated/died than in those who did not experience an event (2.91 (10.42) vs. 0.44 (2.88) ng/mL; p = 0.08)). sIL-2R on admission and its dynamic changes during follow-up may reflect disease severity and predict the development of SRF and mortality.


Subject(s)
COVID-19 , Receptors, Interleukin-2 , Respiratory Insufficiency , Biomarkers , COVID-19/metabolism , COVID-19/pathology , Female , Humans , Male , Middle Aged , Predictive Value of Tests , Receptors, Interleukin-2/blood , Receptors, Interleukin-2/metabolism , Respiratory Insufficiency/diagnosis , Respiratory Insufficiency/metabolism
2.
Front Public Health ; 9: 778340, 2021.
Article in English | MEDLINE | ID: covidwho-1595542

ABSTRACT

The novel coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spread worldwide, and the WHO declared it a pandemic on March 11, 2020. Clinical characteristics and epidemiology features of patients infected with SARS-CoV-2 have been explored in the previous study. However, little is known about the combinative association of liver dysfunction and abnormal interleukins (ILs) in severe patients with COVID-19. This study was designed to estimate whether liver dysfunction and abnormal ILs could predict the severity of COVID-19. This study integrated liver function data and ILs data in patients with COVID-19 and found that liver injury and two ILs, interleukin-2 receptor (IL-2R) and interleukin-6 (IL-6), were closely related to the prognosis of patients with COVID-19. This study may give more exact information to clinicians about the prognosis of patients with COVID-19. In addition, this correlational study between liver disorder and ILs may provide a new vision to diagnosis and treatment in patients.


Subject(s)
COVID-19 , Interleukin-6 , Liver/pathology , Receptors, Interleukin-2/blood , COVID-19/diagnosis , Humans , Interleukin-6/blood , Pandemics
3.
Front Immunol ; 12: 626235, 2021.
Article in English | MEDLINE | ID: covidwho-1082695

ABSTRACT

Objectives: The coordinated immune response of the host is the key of the successful combat of the body against SARS-CoV-2 infection and is decisive for the development and progression of COVID-19. In this study, we aimed to investigate whether the immunological phenotype of patients are associated with duration of illness in patients with severe COVID-19. Method: In this single-center study, 69 patients with severe or critical COVID-19 were recruited retrospectively. Immunological parameters including counts of white blood cells, neutrophils, lymphocytes, the neutrophil-to-lymphocyte ratio, and levels of circulating cytokines and cytokine receptors were screened for their association with disease severity, survival and duration of illness of COVID-19. Results: Our data confirmed previous results that neutrophil-to-lymphocyte ratio and circulating levels of IL-6 represent prominent biomarker for the prediction of disease severity and survival of COVID-19. However, this study shows for the first time that duration of illness in patients with severe COVID-19 is positively associated with serum levels of IL-8 (P=0.004) and soluble IL-2Rα (P=0.025). Conclusion: The significant association of duration of illness with circulating levels of IL-8 and soluble IL-2Rα in patients with severe COVID-19 implicates that neutrophils and T cells are involved in the evolution of COVID-19.


Subject(s)
COVID-19/blood , Interleukin-8/blood , Receptors, Interleukin-2/blood , Adult , Aged , Aged, 80 and over , Biomarkers/blood , COVID-19/immunology , Cytokines/blood , Cytokines/immunology , Female , Humans , Interleukin-8/immunology , Leukocyte Count , Lymphocyte Count , Lymphocytes/immunology , Male , Middle Aged , Neutrophils/immunology , Receptors, Interleukin-2/immunology , Retrospective Studies , SARS-CoV-2/isolation & purification , Severity of Illness Index
4.
Sci Rep ; 10(1): 14042, 2020 08 20.
Article in English | MEDLINE | ID: covidwho-725830

ABSTRACT

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in thousands of deaths in the world. Information about prediction model of prognosis of SARS-CoV-2 infection is scarce. We used machine learning for processing laboratory findings of 110 patients with SARS-CoV-2 pneumonia (including 51 non-survivors and 59 discharged patients). The maximum relevance minimum redundancy (mRMR) algorithm and the least absolute shrinkage and selection operator logistic regression model were used for selection of laboratory features. Seven laboratory features selected in the model were: prothrombin activity, urea, white blood cell, interleukin-2 receptor, indirect bilirubin, myoglobin, and fibrinogen degradation products. The signature constructed using the seven features had 98% [93%, 100%] sensitivity and 91% [84%, 99%] specificity in predicting outcome of SARS-CoV-2 pneumonia. Thus it is feasible to establish an accurate prediction model of outcome of SARS-CoV-2 pneumonia based on laboratory findings.


Subject(s)
Betacoronavirus/genetics , Coronavirus Infections/blood , Models, Statistical , Pneumonia, Viral/blood , Aged , Bilirubin/blood , COVID-19 , Coronavirus Infections/therapy , Coronavirus Infections/virology , Data Accuracy , Feasibility Studies , Female , Fibrin Fibrinogen Degradation Products/analysis , Forecasting/methods , Humans , Leukocytes , Machine Learning , Male , Myoglobin/blood , Pandemics , Pneumonia, Viral/therapy , Pneumonia, Viral/virology , Prognosis , Prothrombin/analysis , Receptors, Interleukin-2/blood , Retrospective Studies , SARS-CoV-2 , Sensitivity and Specificity , Treatment Outcome , Urea/blood
5.
Lab Invest ; 100(6): 794-800, 2020 06.
Article in English | MEDLINE | ID: covidwho-143924

ABSTRACT

Timely analysis of the laboratory characteristics associated with 2019 novel coronavirus pneumonia (COVID-19) can assist with clinical diagnosis and prognosis. This study is a collection of clinical data from 54 hospitalized adult patients diagnosed with COVID-19 in the Zhongfa Xincheng district of China at Tongji Hospital of Huazhong University of Science and Technology from January 28, 2020 to February 11, 2020. The average age of the patients was 61.8 ± 14.5 years, and the predominant age group was 50-79. The proportion of critical-type patients with comorbidities was higher than that of severe-type patients. Lymphocyte counts were significantly reduced in routine bloodwork for all patients, but significantly lower in critical-type patients than that in severe-type patients. Prolongation of prothrombin times (PT) and elevation of fibrinogen degradation products (FDPs) and D-dimers (D-Ds) were detected in coagulation function tests, and more significant changes were observed in critical-type patients compared to severe-type patients. Serum ferritin levels were sensitive to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection but could not be used for disease assessment. In addition, levels of two inflammatory factors, soluble interleukin-2 receptor (sIL-2R) and interleukin-6 (IL-6) were significantly increased in all patients, but higher in critical-type patients than in severe-type patients. Moreover, kidney injury was the second-most common organ affected by COVID-19 followed by heart and liver. Kidney and heart injury were more severe in critical-type patients than in severe-type patients. All of the 31 severe-type patients recovered. Of the critical-type patients, six died and 17 recovered. The length of hospital stay for critical-type patients was significantly longer for severe-type patients. In summary, increased lymphocyte counts, prolonged PT, secondary increases in fibrinolytic activity and increases in sIL-2R and IL-6 are typical features of COVID-19 and are associated with disease severity.


Subject(s)
Coronavirus Infections/physiopathology , Pneumonia, Viral/physiopathology , Adult , Aged , Aged, 80 and over , COVID-19 , China , Comorbidity , Coronavirus Infections/diagnosis , Female , Ferritins/blood , Fibrinolysis , Heart Diseases/virology , Humans , Interleukin-6/blood , Kidney Diseases/virology , Lymphocyte Count , Male , Middle Aged , Pandemics , Pneumonia, Viral/diagnosis , Receptors, Interleukin-2/blood , Retrospective Studies , Young Adult
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