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10.18632/aging.103255

http://scihub22266oqcxt.onion/10.18632/aging.103255
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32484453!7346014!32484453
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suck abstract from ncbi


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pmid32484453      Aging+(Albany+NY) 2020 ; 12 (11): 10059-10069
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  • Infection with SARS-CoV-2 causes abnormal laboratory results of multiple organs in patients #MMPMID32484453
  • Yang AP; Li HM; Tao WQ; Yang XJ; Wang M; Yang WJ; Liu JP
  • Aging (Albany NY) 2020[Jun]; 12 (11): 10059-10069 PMID32484453show ga
  • AIM: To evaluate the clinical value of abnormal laboratory results of multiple organs in patients with coronavirus disease 2019 (COVID-2019) and to help clinicians perform correct treatment. RESULTS: Elevated neutrophil-to-LYM ratio (NLR), D-dimer(D-D), interleukin (IL)-6, IL-10, IL-2, interferon-Y, and age were significantly associated with the severity of illness. However, significant and sustained decreases were observed in the LYM subset (p<0.05). D-D, T cell counts, and cytokine levels in severe COVID-19 patients who survived the disease gradually recovered at later time points to levels that were comparable to those of mild cases. Second, D-D increased from 0.5 to 8, and the risk ratio increased from 2.75 to 55, eventually leading to disseminated intravascular coagulation. Moreover, the acute renal function damage occurred earlier than abnormal heart and liver functions (p<0.05). CONCLUSIONS: The degrees of lymphopenia and proinflammatory cytokine storm were higher in severe COVID-19 patients than in mild cases. The degree was associated with the disease severity. Advanced age, NLR, D-D, and cytokine levels may serve as useful prognostic factors for the early identification of severe COVID-19 cases. METHODS: Peripheral blood samples were collected from 93 confirmed COVID-19 patients. The samples were examined for lymphocyte (LYM) subsets by flow cytometry and cytokine profiles by specific immunoassays. The receiver operating characteristic curve was applied to determine the best diagnostic thresholds for laboratory results, and principal component analysis was used to screen the major risk factors. The prognostic values were assessed using the Kaplan-Meier curve and univariate and multivariate COX regression models.
  • |*Host-Pathogen Interactions[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Betacoronavirus/*physiology[MESH]
  • |COVID-19[MESH]
  • |China/epidemiology[MESH]
  • |Coronavirus Infections/*blood/diagnosis/epidemiology/immunology[MESH]
  • |Cytokines/*blood[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/*blood/diagnosis/epidemiology/immunology[MESH]
  • |Prognosis[MESH]
  • |Retrospective Studies[MESH]


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