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10.1016/j.ijid.2020.07.003

http://scihub22266oqcxt.onion/10.1016/j.ijid.2020.07.003
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suck abstract from ncbi


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pmid32634585      Int+J+Infect+Dis 2020 ; 98 (ä): 353-358
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  • Dynamic changes in peripheral blood lymphocyte subsets in adult patients with COVID-19 #MMPMID32634585
  • Deng Z; Zhang M; Zhu T; Zhili N; Liu Z; Xiang R; Zhang W; Xu Y
  • Int J Infect Dis 2020[Sep]; 98 (ä): 353-358 PMID32634585show ga
  • INTRODUCTION: Coronavirus disease 2019 (COVID-19), caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spread widely. The aim of this study was to investigate the dynamic changes in peripheral blood lymphocyte subsets in adult patients with COVID-19. METHODS: The electronic medical records were reviewed. Data including demographic characteristics, clinical manifestations, comorbidities, laboratory data, and radiological examinations of 435 hospitalized COVID-19 patients with a confirmed SARS-CoV-2 viral infection were extracted and analyzed retrospectively. Lymphocyte subset counts at each week after the onset of the illness were compared with those of the other weeks of illness and with those of control individuals. RESULTS: The various lymphocyte subsets (CD3+, CD4+, CD8+, CD19+, and CD16/56+) were below the normal ranges at 1 week after the onset of illness, reaching a nadir during the second week. They increased gradually during the third week and returned to normal levels in the fifth week, but were still lower than those of the healthy controls. The CD3+, CD4+, and CD8+ counts were significantly lower in patients with severe disease compared to those with non-severe disease, and in patients who died compared to those who recovered. DISCUSSION: This research indicates that the levels of peripheral blood lymphocyte subsets (CD3+, CD4+, and CD8+) are associated with disease progression and severity, and with the prognosis in patients with COVID-19. Dynamic monitoring of human immune function is one of the indicators for evaluating the severity of disease and the prognosis of COVID-19 patients, and is useful for formulating appropriate treatment strategies.
  • |Adult[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |Betacoronavirus/physiology[MESH]
  • |COVID-19[MESH]
  • |Comorbidity[MESH]
  • |Coronavirus Infections/*blood/immunology/virology[MESH]
  • |Electronic Health Records[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Lymphocyte Count[MESH]
  • |Lymphocyte Subsets/*cytology/immunology[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/*blood/immunology/virology[MESH]
  • |Retrospective Studies[MESH]
  • |SARS-CoV-2[MESH]


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