Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1016/j.intimp.2020.107034 http://scihub22266oqcxt.onion/10.1016/j.intimp.2020.107034 33039966!7518179!33039966     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+Immunopharmacol 2020 ; 89 (Pt A): 107034 Nephropedia Template TP {{tp|p=33039966|t=2020. Continuous tracking of COVID-19 patients immune status |pdf=|usr=}}{{33039966}} gab.com Text Continuous tracking of COVID-19 patients immune status JO: Int Immunopharmacol http://www.kidney.de/pget.php?&tw=1&pmid=33039966 #FOAvip BACKGROUND: COVID-19 is threating human health worldwide. We aim to investigate the dynamic changes of immune status in COVID-19 patients with clinical evolution. METHODS: Sixty-one COVID-19 patients (42 mild cases and 19 severe cases, 51 cases without secondary infection as non-infection group and 10 cases with secondary bacterial/fungal infection as infection group) and 52 healthy controls (HCs) were enrolled from our hospital. Leucocyte classification, lymphocyte subsets and cytokines were detected by full-automatic blood cell analyzer and flow cytometer, respectively. RESULTS: Upon admission, eosinophils and lymphocyte subsets decreased significantly, while neutrophils, monocytes, basophils, IL-2, IL-6, IL-10 and IFN-gamma increased significantly in COVID-19 patients compared to HCs. CD3(+) T and DN (CD3(+)CD4(-)CD8(-)) cells appeared sustained decline, leucocytes, neutrophils and IL-10 showed sustained increase in severe group compared to mild group. Compared with the non-infection group, we observed a depletion of eosinophils, CD3(+) T and CD4(+) T cells, but leucocytes, neutrophils, IL-6 and IL-10 on the contrary in the infection group. Besides, in severe group of COVID-19 patients, DN cells were negatively correlated with IL-10, and DP (CD3(+)CD4(+)CD8(+)) cells were negatively correlated with IL-6. Lymphocytes, eosinophils, CD3(+) T cells, CD4(+) T cells, IL-6 and IL-10 all had great diagnostic efficacy (AUC, 0.905-0.975) for COVID-19. The laboratory indicators of COVID-19 patients with improved condition also showed a recovery trend with time. CONCLUSIONS: The immune status of COVID-19 patients is different in each stage, and dynamic monitoring of related indicators can help predict the disease and may avoid cytokine storms. Twit Text FOAVip Continuous tracking of COVID-19 patients immune status ????Int Immunopharmacol http://www.kidney.de/pget.php?&tw=1&pmid=33039966 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33039966 #FOAvip English Wikipedia <ref>{{Cite pmid|33039966}}</ref> Continuous tracking of COVID-19 patients immune status #MMPMID33039966 Guan J; Wei X; Qin S; Liu X; Jiang Y; Chen Y; Chen Y; Lu H; Qian J; Wang Z; Lin X Int Immunopharmacol 2020[Dec]; 89 (Pt A): 107034 PMID33039966show ga BACKGROUND: COVID-19 is threating human health worldwide. We aim to investigate the dynamic changes of immune status in COVID-19 patients with clinical evolution. METHODS: Sixty-one COVID-19 patients (42 mild cases and 19 severe cases, 51 cases without secondary infection as non-infection group and 10 cases with secondary bacterial/fungal infection as infection group) and 52 healthy controls (HCs) were enrolled from our hospital. Leucocyte classification, lymphocyte subsets and cytokines were detected by full-automatic blood cell analyzer and flow cytometer, respectively. RESULTS: Upon admission, eosinophils and lymphocyte subsets decreased significantly, while neutrophils, monocytes, basophils, IL-2, IL-6, IL-10 and IFN-gamma increased significantly in COVID-19 patients compared to HCs. CD3(+) T and DN (CD3(+)CD4(-)CD8(-)) cells appeared sustained decline, leucocytes, neutrophils and IL-10 showed sustained increase in severe group compared to mild group. Compared with the non-infection group, we observed a depletion of eosinophils, CD3(+) T and CD4(+) T cells, but leucocytes, neutrophils, IL-6 and IL-10 on the contrary in the infection group. Besides, in severe group of COVID-19 patients, DN cells were negatively correlated with IL-10, and DP (CD3(+)CD4(+)CD8(+)) cells were negatively correlated with IL-6. Lymphocytes, eosinophils, CD3(+) T cells, CD4(+) T cells, IL-6 and IL-10 all had great diagnostic efficacy (AUC, 0.905-0.975) for COVID-19. The laboratory indicators of COVID-19 patients with improved condition also showed a recovery trend with time. CONCLUSIONS: The immune status of COVID-19 patients is different in each stage, and dynamic monitoring of related indicators can help predict the disease and may avoid cytokine storms. |*SARS-CoV-2[MESH] |Adult[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |COVID-19/diagnosis/*immunology[MESH] |Cytokines/analysis[MESH] |Female[MESH] |Humans[MESH] |Lymphocyte Subsets/immunology[MESH] |Male[MESH]Continuous tracking of COVID-19 patients immune status (epmc).pdf DeepDyve Pubget Overpricing