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10.1155/2021/6657894 http://scihub22266oqcxt.onion/10.1155/2021/6657894 34150910!8197671!34150910     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Immunol+Res 2021 ; 2021 (ä): 6657894 Nephropedia Template TP {{tp|p=34150910|t=2021. Analysis of Lymphocyte Subpopulations and Cytokines in COVID-19-Associated Pneumonia and Community-Acquired Pneumonia |pdf=|usr=}}{{34150910}} gab.com Text Analysis of Lymphocyte Subpopulations and Cytokines in COVID-19-Associated Pneumonia and Community-Acquired Pneumonia JO: J Immunol Res http://www.kidney.de/pget.php?&tw=1&pmid=34150910 #FOAvip BACKGROUND: The 2019 novel coronavirus SARS-CoV-2 caused large outbreaks of COVID-19 worldwide. COVID-19 resembles community-acquired pneumonia (CAP). Our aim was to identify lymphocyte subpopulations to distinguish between COVID-19 and CAP. METHODS: We compared the peripheral blood lymphocytes and their subsets in 296 patients with COVID-19 and 130 patients with CAP. Parameters for independent prediction of COVID-19 were calculated by logistic regression. RESULTS: The main lymphocyte subpopulations (CD3(+)CD4(+), CD16(+)CD56(+), and CD4(+)/CD8(+) ratio) and cytokines (TNF-alpha and IFN-gamma) of COVID-19 patients were significantly different from that of CAP patients. CD16(+)CD56(+)%, CD4(+)/CD8(+)ratio, CD19(+), and CD3(+)CD4(+) were identified as predictors of COVID-19 diagnosis by logistic regression. In addition, the CD3(+)CD4(+)counts, CD3(+)CD8(+) counts, andTNF-alpha are independent predictors of disease severity in patients. CONCLUSIONS: Lymphopenia is an important part of SARS-CoV-2 infection, and lymphocyte subsets and cytokines may be useful to predict the severity and clinical outcomes of the disease. Twit Text FOAVip Analysis of Lymphocyte Subpopulations and Cytokines in COVID-19-Associated Pneumonia and Community-Acquired Pneumonia ????J Immunol Res http://www.kidney.de/pget.php?&tw=1&pmid=34150910 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34150910 #FOAvip English Wikipedia <ref>{{Cite pmid|34150910}}</ref> Analysis of Lymphocyte Subpopulations and Cytokines in COVID-19-Associated Pneumonia and Community-Acquired Pneumonia #MMPMID34150910 Liu G; Jiang X; Zeng X; Pan Y; Xu H J Immunol Res 2021[]; 2021 (ä): 6657894 PMID34150910show ga BACKGROUND: The 2019 novel coronavirus SARS-CoV-2 caused large outbreaks of COVID-19 worldwide. COVID-19 resembles community-acquired pneumonia (CAP). Our aim was to identify lymphocyte subpopulations to distinguish between COVID-19 and CAP. METHODS: We compared the peripheral blood lymphocytes and their subsets in 296 patients with COVID-19 and 130 patients with CAP. Parameters for independent prediction of COVID-19 were calculated by logistic regression. RESULTS: The main lymphocyte subpopulations (CD3(+)CD4(+), CD16(+)CD56(+), and CD4(+)/CD8(+) ratio) and cytokines (TNF-alpha and IFN-gamma) of COVID-19 patients were significantly different from that of CAP patients. CD16(+)CD56(+)%, CD4(+)/CD8(+)ratio, CD19(+), and CD3(+)CD4(+) were identified as predictors of COVID-19 diagnosis by logistic regression. In addition, the CD3(+)CD4(+)counts, CD3(+)CD8(+) counts, andTNF-alpha are independent predictors of disease severity in patients. CONCLUSIONS: Lymphopenia is an important part of SARS-CoV-2 infection, and lymphocyte subsets and cytokines may be useful to predict the severity and clinical outcomes of the disease. |*CD4-CD8 Ratio[MESH] |Adult[MESH] |Aged[MESH] |COVID-19 Testing[MESH] |COVID-19/*blood/immunology/pathology[MESH] |Community-Acquired Infections/microbiology[MESH] |Female[MESH] |Humans[MESH] |Interferon-gamma/*blood[MESH] |Lymphocyte Subsets/*cytology/immunology[MESH] |Lymphopenia/blood/pathology[MESH] |Male[MESH] |Middle Aged[MESH] |Pneumonia/*blood/immunology/pathology[MESH] |Prognosis[MESH] |SARS-CoV-2/immunology[MESH] |Severity of Illness Index[MESH]Analysis of Lymphocyte Subpopulations and Cytokines in COVID-19-Associ(epmc).pdf DeepDyve Pubget Overpricing